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\n  \n 2024\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Persona and issue analysis on tourism social media: a case study of Pirenópolis, Goiás, Brazil.\n \n \n \n\n\n \n Araújo, G., D., S.; Fernandez, J., O.; Da Silva, M., S.; and Lobato, F., M., F.\n\n\n \n\n\n\n In Proceedings of the 20th Brazilian Symposium on Information Systems, pages 1-10, 2024. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Persona and issue analysis on tourism social media: a case study of Pirenópolis, Goiás, Brazil},\n type = {inproceedings},\n year = {2024},\n pages = {1-10},\n id = {f0bf055f-e8fd-3c42-a7fe-7db164ff8dae},\n created = {2024-06-05T18:10:47.598Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2024-06-05T18:10:47.598Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Araújo, Gabriele De Sousa and Fernandez, Jonathan Oliveira and Da Silva, Marcelino Silva and Lobato, Fábio Manoel França},\n booktitle = {Proceedings of the 20th Brazilian Symposium on Information Systems}\n}
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\n \n\n \n \n \n \n \n CRM Market Overview: A Case Study of Job Vacancies.\n \n \n \n\n\n \n Do Carmo, F., A.; Menezes, P., H., C.; Barata, B., A., P.; Jacob, A., F., L.; and Lobato, F., M., F.\n\n\n \n\n\n\n In Proceedings of the 20th Brazilian Symposium on Information Systems, pages 1-10, 2024. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {CRM Market Overview: A Case Study of Job Vacancies},\n type = {inproceedings},\n year = {2024},\n pages = {1-10},\n id = {20cd18fd-e44d-3aca-8e67-e39a691467f1},\n created = {2024-06-05T18:10:50.269Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2024-06-05T18:10:50.269Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Do Carmo, Fernando Almeida and Menezes, Pedro Henrique Costa and Barata, Bárbara Adriana Pires and Jacob, Antonio Fernando Lavareda and Lobato, Fábio Manoel França},\n booktitle = {Proceedings of the 20th Brazilian Symposium on Information Systems}\n}
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\n \n\n \n \n \n \n \n EvoImp: Multiple Imputation of Multi-label Classification data with a genetic algorithm.\n \n \n \n\n\n \n Jacob Junior, A., F., L.; do Carmo, F., A.; de Santana, A., L.; Santana, E., E., C.; and Lobato, F., M., F.\n\n\n \n\n\n\n Plos one, 19(1): e0297147. 2024.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {EvoImp: Multiple Imputation of Multi-label Classification data with a genetic algorithm},\n type = {article},\n year = {2024},\n pages = {e0297147},\n volume = {19},\n publisher = {Public Library of Science San Francisco, CA USA},\n id = {9de80bbf-9528-318a-b2e3-a93a9e2fc4e1},\n created = {2024-06-05T18:11:04.013Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2024-06-05T18:11:04.013Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Jacob Junior, Antonio Fernando Lavareda and do Carmo, Fabricio Almeida and de Santana, Adamo Lima and Santana, Ewaldo Eder Carvalho and Lobato, Fabio Manoel Franca},\n journal = {Plos one},\n number = {1}\n}
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\n  \n 2023\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Análise orientada a dados como auxílio para tomada de decisão em Gestão de Pesquisa.\n \n \n \n \n\n\n \n Justino, A.; Nhoatto, F.; Souza, E.; and Lobato, F.\n\n\n \n\n\n\n Revista da CGU, 15(27). 7 2023.\n \n\n\n\n
\n\n\n\n \n \n \"AnáliseWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Análise orientada a dados como auxílio para tomada de decisão em Gestão de Pesquisa},\n type = {article},\n year = {2023},\n volume = {15},\n websites = {https://revista.cgu.gov.br/Revista_da_CGU/article/view/565},\n month = {7},\n id = {81e03444-5d49-3365-8a56-4e49a841cfea},\n created = {2023-08-03T18:21:18.094Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-08-03T18:21:18.094Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Justino, Adrielson and Nhoatto, Fabiano and Souza, Efren and Lobato, Fabio},\n doi = {10.36428/revistadacgu.v15i27.565},\n journal = {Revista da CGU},\n number = {27}\n}
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\n \n\n \n \n \n \n \n Text representations for lyric-based identification of musical subgenres.\n \n \n \n\n\n \n do Carmo, F., A.; da Silva Junior, J., L., F.; Rossi, R., G.; and Lobato, F., M., F.\n\n\n \n\n\n\n IEEE Latin America Transactions, 21(6): 737-744. 2023.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Text representations for lyric-based identification of musical subgenres},\n type = {article},\n year = {2023},\n pages = {737-744},\n volume = {21},\n id = {2ad19c15-7682-3fa6-9a0d-e0968c17f16c},\n created = {2023-08-03T18:23:59.183Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-08-03T18:23:59.183Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {do Carmo, Fabr\\'\\icio Almeida and da Silva Junior, Jorge Luiz Figueira and Rossi, Rafael Geraldeli and Lobato, Fábio Manoel França},\n journal = {IEEE Latin America Transactions},\n number = {6}\n}
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\n \n\n \n \n \n \n \n \n Análise, otimização e acompanhamento de um serviço de psicologia universitário: uma abordagem baseada em ciência de dados.\n \n \n \n \n\n\n \n Lobato, F.; Poça, M.; and Canto, V.\n\n\n \n\n\n\n Revista da CGU, 15(27). 7 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Análise,Website\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Análise, otimização e acompanhamento de um serviço de psicologia universitário: uma abordagem baseada em ciência de dados},\n type = {article},\n year = {2023},\n volume = {15},\n websites = {https://revista.cgu.gov.br/Revista_da_CGU/article/view/561},\n month = {7},\n id = {0737518e-2c48-3fad-96e4-2b729ccaba46},\n created = {2023-08-03T18:29:20.292Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-08-03T18:29:20.292Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Lobato, Fabio and Poça, Milena and Canto, Viviane},\n doi = {10.36428/revistadacgu.v15i27.561},\n journal = {Revista da CGU},\n number = {27}\n}
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\n \n\n \n \n \n \n \n Análise Comparativa de Plataformas de M\\'\\idias Sociais Tur\\'\\isticas: um Estudo de Caso de Booking e TripAdvisor para o Munic\\'\\ipio de Santarém, Pará.\n \n \n \n\n\n \n Aleixo, M., J., A.; de Sousa Araujo, G.; do Carmo, F., A.; Junior, A., F., L., J.; and Lobato, F., M., F.\n\n\n \n\n\n\n Anais do Computer on the Beach, 14: 70-77. 2023.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Análise Comparativa de Plataformas de M\\'\\idias Sociais Tur\\'\\isticas: um Estudo de Caso de Booking e TripAdvisor para o Munic\\'\\ipio de Santarém, Pará},\n type = {article},\n year = {2023},\n pages = {70-77},\n volume = {14},\n id = {7904061e-5622-3924-a468-1e2fb5b8d4cf},\n created = {2024-06-05T18:10:53.196Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2024-06-05T18:10:53.196Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Aleixo, Marlisson Jean Amaral and de Sousa Araujo, Gabriele and do Carmo, Fernando Almeida and Junior, Antonio Fernando Lavareda Jacob and Lobato, Fábio Manoel França},\n journal = {Anais do Computer on the Beach}\n}
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\n \n\n \n \n \n \n \n Embeddings Jur\\'\\idico: Representaç\\~oes Orientadas à Linguagem Jur\\'\\idica Brasileira.\n \n \n \n\n\n \n do Carmo, F., A.; Serejo, F.; Junior, A., F., L., J.; Santana, E., E., C.; and Lobato, F., M., F.\n\n\n \n\n\n\n In Anais do XI Workshop de Computação Aplicada em Governo Eletrônico, pages 188-199, 2023. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Embeddings Jur\\'\\idico: Representaç\\~oes Orientadas à Linguagem Jur\\'\\idica Brasileira},\n type = {inproceedings},\n year = {2023},\n pages = {188-199},\n id = {c1f5fd62-5c44-3223-87f8-01989496beef},\n created = {2024-06-05T18:10:55.526Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2024-06-05T18:10:55.526Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {do Carmo, Fabr\\'\\icio A and Serejo, Ferdinando and Junior, Antonio F L Jacob and Santana, Ewaldo E C and Lobato, Fábio M F},\n booktitle = {Anais do XI Workshop de Computação Aplicada em Governo Eletrônico}\n}
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\n \n\n \n \n \n \n \n Natural Language Processing and Social Media: a systematic mapping on Brazilian leading events.\n \n \n \n\n\n \n Araújo, G., d., S.; Leite, J., B., P.; da Silva, M., S.; Junior, A., F., L., J.; and Lobato, F., M., F.\n\n\n \n\n\n\n In Anais do XX Encontro Nacional de Inteligência Artificial e Computacional, pages 741-755, 2023. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Natural Language Processing and Social Media: a systematic mapping on Brazilian leading events},\n type = {inproceedings},\n year = {2023},\n pages = {741-755},\n id = {dff834ee-ef69-3ac6-a318-957b8dc02b6f},\n created = {2024-06-05T18:10:58.140Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2024-06-05T18:10:58.140Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Araújo, Gabriele de S and Leite, Jéssica Brenda P and da Silva, Marcelino S and Junior, Antonio F L Jacob and Lobato, Fábio M F},\n booktitle = {Anais do XX Encontro Nacional de Inteligência Artificial e Computacional}\n}
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\n \n\n \n \n \n \n \n Market Overview in Social CRM: An analysis of job advertisements.\n \n \n \n\n\n \n Menezes, P., C.; Justino, A., F.; Barata, B., A., P.; Junior, A., F., L., J.; and Lobato, F., M., F.\n\n\n \n\n\n\n In 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pages 555-562, 2023. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Market Overview in Social CRM: An analysis of job advertisements},\n type = {inproceedings},\n year = {2023},\n pages = {555-562},\n id = {90e699b4-af06-39d3-8095-51aae3442fcb},\n created = {2024-06-05T18:11:02.197Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2024-06-05T18:11:02.197Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Menezes, Pedro C and Justino, Adrielson F and Barata, Barbara A P and Junior, Antonio F L Jacob and Lobato, Fábio M F},\n booktitle = {2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)}\n}
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\n \n\n \n \n \n \n \n SCIENSH: Sistema de apoio à gestão de pesquisa e inovação baseado em cientometria.\n \n \n \n\n\n \n Justino, A., F.; Nhoatto, F., P.; de Souza, E., L.; and Lobato, F.\n\n\n \n\n\n\n iSys-Brazilian Journal of Information Systems, 16(1): 11-14. 2023.\n \n\n\n\n
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@article{\n title = {SCIENSH: Sistema de apoio à gestão de pesquisa e inovação baseado em cientometria},\n type = {article},\n year = {2023},\n pages = {11-14},\n volume = {16},\n id = {3150dd84-fda6-3423-bca2-2c9bd9dd9b38},\n created = {2024-06-05T18:11:08.362Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2024-06-05T18:11:08.362Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Justino, Adrielson Ferreira and Nhoatto, Fabiano Paulo and de Souza, Efren Lopes and Lobato, Fábio},\n journal = {iSys-Brazilian Journal of Information Systems},\n number = {1}\n}
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\n  \n 2022\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n Pandemia de COVID-19 no Brasil: uma análise sobre notícias e comentários de usuários.\n \n \n \n \n\n\n \n Rodrigues, L.; Prado, A.; and Lobato, F., M., F.\n\n\n \n\n\n\n Culturas Midiáticas, 16: 26. 6 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PandemiaWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Pandemia de COVID-19 no Brasil: uma análise sobre notícias e comentários de usuários},\n type = {article},\n year = {2022},\n pages = {26},\n volume = {16},\n websites = {https://periodicos.ufpb.br/ojs2/index.php/cm/article/view/61265},\n month = {6},\n id = {b5949620-d165-3c13-a184-a1e883e1baaa},\n created = {2022-06-16T00:53:17.952Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:12.631Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Rodrigues2022},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Rodrigues, Lucas and Prado, Ana and Lobato, Fábio Manoel França},\n doi = {10.22478/ufpb.2763-9398.2022v16n.61265},\n journal = {Culturas Midiáticas}\n}
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\n \n\n \n \n \n \n \n \n Diagnostic Classification of Cases of Canine Leishmaniasis Using Machine Learning.\n \n \n \n \n\n\n \n Ferreira, T., S.; Santana, E., E., C.; Jacob Junior, A., F., L.; Silva Junior, P., F.; Bastos, L., S.; Silva, A., L., A.; Melo, S., A.; Cruz, C., A., M.; Aquino, V., S.; Castro, L., S., O.; Lima, G., O.; and Freire, R., C., S.\n\n\n \n\n\n\n Sensors, 22(9). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"DiagnosticWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Diagnostic Classification of Cases of Canine Leishmaniasis Using Machine Learning},\n type = {article},\n year = {2022},\n volume = {22},\n websites = {https://www.mdpi.com/1424-8220/22/9/3128},\n id = {d7d10949-38ca-3be3-a9c1-f8bf4233e0eb},\n created = {2023-08-03T18:12:48.494Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-08-03T18:12:48.494Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {Article},\n private_publication = {false},\n abstract = {Proposal techniques that reduce financial costs in the diagnosis and treatment of animal diseases are welcome. This work uses some machine learning techniques to classify whether or not cases of canine visceral leishmaniasis are present by physical examinations. For validation of the method, four machine learning models were chosen: K-nearest neighbor, Na&iuml;ve Bayes, support vector machine and logistic regression models. The tests were performed on three hundred and forty dogs, using eighteen characteristics of the animal and the ELISA (enzyme-linked immunosorbent assay) serological test as validation. Logistic regression achieved the best metrics: Accuracy of 75%, sensitivity of 84%, specificity of 67%, a positive likelihood ratio of 2.53 and a negative likelihood ratio of 0.23, showing a positive relationship in the evaluation between the true positives and rejecting the cases of false negatives.},\n bibtype = {article},\n author = {Ferreira, Tiago S and Santana, Ewaldo E C and Jacob Junior, Antônio F L and Silva Junior, Paulo F and Bastos, Luciana S and Silva, Ana L A and Melo, Solange A and Cruz, Carlos A M and Aquino, Vivianne S and Castro, Luís S O and Lima, Guilherme O and Freire, Raimundo C S},\n doi = {10.3390/s22093128},\n journal = {Sensors},\n number = {9}\n}
\n
\n\n\n
\n Proposal techniques that reduce financial costs in the diagnosis and treatment of animal diseases are welcome. This work uses some machine learning techniques to classify whether or not cases of canine visceral leishmaniasis are present by physical examinations. For validation of the method, four machine learning models were chosen: K-nearest neighbor, Naïve Bayes, support vector machine and logistic regression models. The tests were performed on three hundred and forty dogs, using eighteen characteristics of the animal and the ELISA (enzyme-linked immunosorbent assay) serological test as validation. Logistic regression achieved the best metrics: Accuracy of 75%, sensitivity of 84%, specificity of 67%, a positive likelihood ratio of 2.53 and a negative likelihood ratio of 0.23, showing a positive relationship in the evaluation between the true positives and rejecting the cases of false negatives.\n
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\n \n\n \n \n \n \n \n \n An Analysis of the Deleterious Impact of the Infodemic during the COVID-19 Pandemic in Brazil: A Case Study Considering Possible Correlations with Socioeconomic Aspects of Brazilian Demography.\n \n \n \n \n\n\n \n Harb, M., d., P., d., A., A.; Silva, L., V., e.; Vijaykumar, N., L.; Silva, M., S., d.; and Francês, C., R., L.\n\n\n \n\n\n\n International Journal of Environmental Research and Public Health, 19(6). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"AnWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {An Analysis of the Deleterious Impact of the Infodemic during the COVID-19 Pandemic in Brazil: A Case Study Considering Possible Correlations with Socioeconomic Aspects of Brazilian Demography},\n type = {article},\n year = {2022},\n volume = {19},\n websites = {https://www.mdpi.com/1660-4601/19/6/3208},\n id = {7555520d-b76e-35bc-b28a-6aaa0595f685},\n created = {2023-08-03T18:35:42.664Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-08-03T18:35:42.664Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {Article},\n private_publication = {false},\n abstract = {Due to COVID-19, a huge amount of incorrect information has been disseminated on the internet, which may interfere with the disease&rsquo;s advance. This study analyzes the behavior of the Brazilian population during the pandemic, employing queries of infodemic data searched on Google Trends and relating them to socioeconomic and political indicators in the country. The z-score technique was used to standardize the data; and for multivalued analysis, dendrograms and the Elbow method detected similar patterns among Brazilian states. The result was divided into three analyses. In the analysis of the research trend of infodemic terms, the themes &ldquo;Prevention and Beliefs&rdquo; and &ldquo;Treatment&rdquo; prevailed. In the exploratory analysis, socioeconomic indicators related to income and education, as well as government programs, showed no impact on infodemic searches; but the results suggest that the states that supported the Brazilian president in the 2018 election, where he obtained more than 50% of the votes, were the states that most searched for infodemic terms: a total of 46.58% more infodemic searches than in the other states. In the multivalued analysis, the socioeconomic indicators used showed similarities in the patterns, highlighting a cluster containing 77% of all Brazilian states. The study concludes that denial about the pandemic and the influence of political leadership can influence infodemic information searches, contributing to a disorganization in the control of disease control and prevention measures.},\n bibtype = {article},\n author = {Harb, Maria da Penha de Andrade Abi and Silva, Lena Veiga e and Vijaykumar, Nandamudi Lankalapalli and Silva, Marcelino Silva da and Francês, Carlos Renato Lisboa},\n doi = {10.3390/ijerph19063208},\n journal = {International Journal of Environmental Research and Public Health},\n number = {6}\n}
\n
\n\n\n
\n Due to COVID-19, a huge amount of incorrect information has been disseminated on the internet, which may interfere with the disease’s advance. This study analyzes the behavior of the Brazilian population during the pandemic, employing queries of infodemic data searched on Google Trends and relating them to socioeconomic and political indicators in the country. The z-score technique was used to standardize the data; and for multivalued analysis, dendrograms and the Elbow method detected similar patterns among Brazilian states. The result was divided into three analyses. In the analysis of the research trend of infodemic terms, the themes “Prevention and Beliefs” and “Treatment” prevailed. In the exploratory analysis, socioeconomic indicators related to income and education, as well as government programs, showed no impact on infodemic searches; but the results suggest that the states that supported the Brazilian president in the 2018 election, where he obtained more than 50% of the votes, were the states that most searched for infodemic terms: a total of 46.58% more infodemic searches than in the other states. In the multivalued analysis, the socioeconomic indicators used showed similarities in the patterns, highlighting a cluster containing 77% of all Brazilian states. The study concludes that denial about the pandemic and the influence of political leadership can influence infodemic information searches, contributing to a disorganization in the control of disease control and prevention measures.\n
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\n \n\n \n \n \n \n \n A Heuristic for Load Distribution on Data Center Hierarchy: A MEC Approach.\n \n \n \n\n\n \n Vieira, R., F.; Souza, D., D., S.; Silva, M., S., D.; and Cardoso, D., L.\n\n\n \n\n\n\n IEEE Access, 10: 69462-69471. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {A Heuristic for Load Distribution on Data Center Hierarchy: A MEC Approach},\n type = {article},\n year = {2022},\n pages = {69462-69471},\n volume = {10},\n id = {29cb8554-32da-31ac-98ac-223ab73bdc01},\n created = {2023-08-03T18:37:40.525Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-08-03T18:37:40.525Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {ARTICLE},\n private_publication = {false},\n bibtype = {article},\n author = {Vieira, Rafael F and Souza, Daniel Da Silva and Silva, Marcelino Silva Da and Cardoso, Diego Lisboa},\n doi = {10.1109/ACCESS.2022.3185992},\n journal = {IEEE Access}\n}
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\n \n\n \n \n \n \n \n \n Dendrograms for Clustering in Multivariate Analysis: Applications for COVID-19 Vaccination Infodemic Data in Brazil.\n \n \n \n \n\n\n \n Harb, M., d., P.; Silva, L.; Ayass, T.; Vijaykumar, N.; Silva, M.; and Francês, C., R.\n\n\n \n\n\n\n Computation, 10(9). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"DendrogramsWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Dendrograms for Clustering in Multivariate Analysis: Applications for COVID-19 Vaccination Infodemic Data in Brazil},\n type = {article},\n year = {2022},\n volume = {10},\n websites = {https://www.mdpi.com/2079-3197/10/9/166},\n id = {d9aeea8d-8b88-3a59-b067-041a0bf7f396},\n created = {2023-08-03T18:42:26.866Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-08-03T18:42:26.866Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n source_type = {Article},\n private_publication = {false},\n abstract = {Since December 2019, with the discovery of a new coronavirus, humanity has been exposed to a large amount of information from different media. Information is not always true and official. Known as an infodemic, false information can increase the negative effects of the pandemic by impairing data readability and disease control. The paper aims to find similar patterns of behavior of the Brazilian population during 2021 in two analyses: with vaccination data of all age groups and using the age group of 64 years or more, representing 13% of the population, using the multivariate analysis technique. Infodemic vaccination information and pandemic numbers were also used. Dendrograms were used as a cluster visualization technique. The result of the generated clusters was verified by two algorithms: the cophenetic correlation coefficient, which obtained satisfactory results above 0.7, and the elbow method, which corroborated the number of clusters found. In the result of the analysis with all age groups, more homogeneous divisions were perceived among Brazilian states, while the second analysis resulted in more heterogeneous clusters, recalling that at the start of vaccinations they could have had fear, doubts, and significant belief in the infodemic.},\n bibtype = {article},\n author = {Harb, Maria da Penha and Silva, Lena and Ayass, Thalita and Vijaykumar, Nandamudi and Silva, Marcelino and Francês, Carlos Renato},\n doi = {10.3390/computation10090166},\n journal = {Computation},\n number = {9}\n}
\n
\n\n\n
\n Since December 2019, with the discovery of a new coronavirus, humanity has been exposed to a large amount of information from different media. Information is not always true and official. Known as an infodemic, false information can increase the negative effects of the pandemic by impairing data readability and disease control. The paper aims to find similar patterns of behavior of the Brazilian population during 2021 in two analyses: with vaccination data of all age groups and using the age group of 64 years or more, representing 13% of the population, using the multivariate analysis technique. Infodemic vaccination information and pandemic numbers were also used. Dendrograms were used as a cluster visualization technique. The result of the generated clusters was verified by two algorithms: the cophenetic correlation coefficient, which obtained satisfactory results above 0.7, and the elbow method, which corroborated the number of clusters found. In the result of the analysis with all age groups, more homogeneous divisions were perceived among Brazilian states, while the second analysis resulted in more heterogeneous clusters, recalling that at the start of vaccinations they could have had fear, doubts, and significant belief in the infodemic.\n
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\n  \n 2021\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n PROSPECÇÃO DE FERRAMENTAS PARA GESTÃO DE PESQUISA E DESENVOLVIMENTO EM INSTITUIÇÕES DE CIÊNCIA E TECNOLOGIA.\n \n \n \n\n\n \n Nhoatto, F.; Justino, A.; de Souza, E., L.; and Lobato, F., M., F.\n\n\n \n\n\n\n Revista E-Tech: Tecnologias para Competitividade Industrial-ISSN-1983-1838, 15(1). 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {PROSPECÇÃO DE FERRAMENTAS PARA GESTÃO DE PESQUISA E DESENVOLVIMENTO EM INSTITUIÇÕES DE CIÊNCIA E TECNOLOGIA},\n type = {article},\n year = {2021},\n volume = {15},\n id = {c2485352-f981-32cd-b6e3-3e313957e807},\n created = {2022-06-16T00:53:19.928Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.746Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Nhoatto2021},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Nhoatto, Fabiano and Justino, Adrielson and de Souza, Efren Lopes and Lobato, Fábio Manoel França},\n journal = {Revista E-Tech: Tecnologias para Competitividade Industrial-ISSN-1983-1838},\n number = {1}\n}
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\n \n\n \n \n \n \n \n Um método automatizado para realizar detecção e contagem do Pirarucu durante o manejo An automated method to perform detection and counting of Pirarucu during management.\n \n \n \n\n\n \n de Abreu, W., F.; da Silva, D., J., A.; do Nascimento, R., P.; de Lima Rocha, R.; dos Santos, C., G., R.; and da Ponte, M., J., M.\n\n\n \n\n\n\n Brazilian Journal of Development, 7(10): 95504-95516. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Um método automatizado para realizar detecção e contagem do Pirarucu durante o manejo An automated method to perform detection and counting of Pirarucu during management},\n type = {article},\n year = {2021},\n pages = {95504-95516},\n volume = {7},\n id = {4073bb38-6139-3e64-85da-40045a7c9dcc},\n created = {2022-06-16T01:22:10.514Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.222Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {DeAbreu2021},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {de Abreu, Wanderlany Fialho and da Silva, Deam James Azevedo and do Nascimento, Roberto Pereira and de Lima Rocha, Rafael and dos Santos, Carlos Gustavo Resque and da Ponte, Márcio José Moutinho},\n journal = {Brazilian Journal of Development},\n number = {10}\n}
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\n \n\n \n \n \n \n \n Investigação sobre as potencialidades da videoaula no que tange às emoções e à formação de memórias.\n \n \n \n\n\n \n Pereira, P., M., P.; Paxiúba, C., M., C.; and Lima, C., P.\n\n\n \n\n\n\n EmRede-Revista de Educação a Distância, 8(2): 1-20. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Investigação sobre as potencialidades da videoaula no que tange às emoções e à formação de memórias},\n type = {article},\n year = {2021},\n pages = {1-20},\n volume = {8},\n id = {5cc0e4f6-55bd-3db8-9d3f-14770fb7248b},\n created = {2022-06-16T01:23:13.566Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.869Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Pereira2021},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Pereira, Paulo Marcelo Pedroso and Paxiúba, Carla Marina Costa and Lima, Celson Pantoja},\n journal = {EmRede-Revista de Educação a Distância},\n number = {2}\n}
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\n  \n 2020\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n A literature review of the current applications of machine learning and their practical implications.\n \n \n \n\n\n \n Chagas, B., N., R.; Viana, J.; Reinhold, O.; Lobato, F., M., F.; Jacob, A., F., L.; and Alt, R.\n\n\n \n\n\n\n Web Intelligence, 18(1): 69-83. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{\n title = {A literature review of the current applications of machine learning and their practical implications},\n type = {article},\n year = {2020},\n keywords = {crm,information systems,machine learning},\n pages = {69-83},\n volume = {18},\n id = {52a46ac1-fc0e-3cea-a593-65f245cbba89},\n created = {2020-04-15T19:49:20.961Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.304Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Chagas2020},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Chagas, Beatriz N R and Viana, Julio and Reinhold, Olaf and Lobato, Fábio M F and Jacob, Antonio F L and Alt, Rainer},\n doi = {10.3233/web-200429},\n journal = {Web Intelligence},\n number = {1}\n}
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\n \n\n \n \n \n \n \n \n Notícias relacionadas a pessoas com deficiência: uma análise do conteúdo gerado pelos usuários em postagens de mídias sociais.\n \n \n \n \n\n\n \n Rodrigues, L.; Junior, A.; and Lobato, F.\n\n\n \n\n\n\n In Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019), pages 811-822, 1 2020. Sociedade Brasileira de Computação - SBC\n \n\n\n\n
\n\n\n\n \n \n \"NotíciasWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Notícias relacionadas a pessoas com deficiência: uma análise do conteúdo gerado pelos usuários em postagens de mídias sociais},\n type = {inproceedings},\n year = {2020},\n pages = {811-822},\n websites = {https://sol.sbc.org.br/index.php/eniac/article/view/9336},\n month = {1},\n publisher = {Sociedade Brasileira de Computação - SBC},\n id = {300e6b22-ae01-3989-ae27-a1408186ca0e},\n created = {2020-04-15T19:49:21.211Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.079Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Rodrigues2020},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Rodrigues, Lucas and Junior, Ademir and Lobato, Fabio},\n doi = {10.5753/eniac.2019.9336},\n booktitle = {Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019)}\n}
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\n \n\n \n \n \n \n \n \n Uma abordagem baseada em letras para a descoberta de conhecimento da música brasileira: o sertanejo como um estudo de caso.\n \n \n \n \n\n\n \n Junior, J.; Rossi, R.; and Lobato, F.\n\n\n \n\n\n\n In Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019), pages 949-960, 1 2020. Sociedade Brasileira de Computação - SBC\n \n\n\n\n
\n\n\n\n \n \n \"UmaWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Uma abordagem baseada em letras para a descoberta de conhecimento da música brasileira: o sertanejo como um estudo de caso},\n type = {inproceedings},\n year = {2020},\n pages = {949-960},\n websites = {https://sol.sbc.org.br/index.php/eniac/article/view/9348},\n month = {1},\n publisher = {Sociedade Brasileira de Computação - SBC},\n id = {10cd3ea9-dbbc-3471-b7e2-3a84791653cb},\n created = {2020-04-15T19:49:21.246Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:15.522Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Junior2020},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Junior, Jorge and Rossi, Rafael and Lobato, Fabio},\n doi = {10.5753/eniac.2019.9348},\n booktitle = {Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019)}\n}
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\n \n\n \n \n \n \n \n \n Deep learning in gastric tissue diseases: a systematic review.\n \n \n \n \n\n\n \n Gonçalves, W., G., e.; Santos, M., H., d., P., d.; Lobato, F., M., F.; Ribeiro-dos-Santos, Â.; and Araújo, G., S., d.\n\n\n \n\n\n\n BMJ Open Gastroenterology, 7(1): e000371. 3 2020.\n \n\n\n\n
\n\n\n\n \n \n \"DeepPaper\n  \n \n \n \"DeepWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Deep learning in gastric tissue diseases: a systematic review},\n type = {article},\n year = {2020},\n pages = {e000371},\n volume = {7},\n websites = {http://bmjopengastro.bmj.com/lookup/doi/10.1136/bmjgast-2019-000371},\n month = {3},\n publisher = {BMJ Specialist Journals},\n day = {26},\n id = {d0b98101-d90e-3643-b3a5-fc66cba2ad0c},\n created = {2020-04-17T01:36:34.213Z},\n accessed = {2020-04-17},\n file_attached = {true},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.877Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Goncalves2020},\n private_publication = {false},\n abstract = {Background In recent years, deep learning has gained remarkable attention in medical image analysis due to its capacity to provide results comparable to specialists and, in some cases, surpass them. Despite the emergence of deep learning research on gastric tissues diseases, few intensive reviews are addressing this topic.\n\nMethod We performed a systematic review related to applications of deep learning in gastric tissue disease analysis by digital histology, endoscopy and radiology images.\n\nConclusions This review highlighted the high potential and shortcomings in deep learning research studies applied to gastric cancer, ulcer, gastritis and non-malignant diseases. Our results demonstrate the effectiveness of gastric tissue analysis by deep learning applications. Moreover, we also identified gaps of evaluation metrics, and image collection availability, therefore, impacting experimental reproducibility.},\n bibtype = {article},\n author = {Gonçalves, Wanderson Gonçalves e and Santos, Marcelo Henrique de Paula dos and Lobato, Fábio Manoel França and Ribeiro-dos-Santos, Ândrea and Araújo, Gilderlanio Santana de},\n doi = {10.1136/bmjgast-2019-000371},\n journal = {BMJ Open Gastroenterology},\n number = {1}\n}
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\n Background In recent years, deep learning has gained remarkable attention in medical image analysis due to its capacity to provide results comparable to specialists and, in some cases, surpass them. Despite the emergence of deep learning research on gastric tissues diseases, few intensive reviews are addressing this topic.\n\nMethod We performed a systematic review related to applications of deep learning in gastric tissue disease analysis by digital histology, endoscopy and radiology images.\n\nConclusions This review highlighted the high potential and shortcomings in deep learning research studies applied to gastric cancer, ulcer, gastritis and non-malignant diseases. Our results demonstrate the effectiveness of gastric tissue analysis by deep learning applications. Moreover, we also identified gaps of evaluation metrics, and image collection availability, therefore, impacting experimental reproducibility.\n
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\n \n\n \n \n \n \n \n Relação entre aplicativos geossociais e infecções sexualmente transmissíveis.\n \n \n \n\n\n \n Justino, A., F.; Ramos, L., F., P.; de Souza, É., L.; and Lobato, F., M., F.\n\n\n \n\n\n\n Journal of Health Informatics, 12(4). 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Relação entre aplicativos geossociais e infecções sexualmente transmissíveis},\n type = {article},\n year = {2020},\n volume = {12},\n id = {6c13da1b-3962-31c0-82a4-bede33878363},\n created = {2022-06-15T23:52:56.915Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.314Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Justino2020},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Justino, Adrielson Ferreira and Ramos, Luciana Fernandes Pastana and de Souza, Éfren Lopes and Lobato, Fabio Manoel França},\n journal = {Journal of Health Informatics},\n number = {4}\n}
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\n \n\n \n \n \n \n \n UMA SOLUÇÃO EM FUSÃO DE INFORMAÇÃO PARA GERENCIAMENTO DE RECLAMAÇÕES FEITAS NA WEB.\n \n \n \n\n\n \n JÚNIOR, E.; MAIA, R.; Lobato, F.; and Jacob Junior, A.\n\n\n \n\n\n\n Revista SODEBRAS, 15: 28-33. 6 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {UMA SOLUÇÃO EM FUSÃO DE INFORMAÇÃO PARA GERENCIAMENTO DE RECLAMAÇÕES FEITAS NA WEB},\n type = {article},\n year = {2020},\n pages = {28-33},\n volume = {15},\n month = {6},\n id = {9be0d1e3-0cca-3816-af56-348e83cd4a9a},\n created = {2022-06-16T00:53:24.470Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:12.768Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {JUNIOR2020},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {JÚNIOR, E and MAIA, R and Lobato, Fábio and Jacob Junior, Antonio},\n doi = {10.29367/issn.1809-3957.15.2020.176.28},\n journal = {Revista SODEBRAS}\n}
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\n \n\n \n \n \n \n \n Characterizing the impact of social inequality on COVID-19 propagation in developing countries.\n \n \n \n\n\n \n Cardoso, E., H., S.; Da Silva, M., S.; Júnior, F., E., D., A., F.; De Carvalho, S., V.; Ferreira, A., C., P., D., L.; Carvalho, D.; Vijaykumar, N.; and Frances, C., R., L.\n\n\n \n\n\n\n Ieee Access, 8: 172563-172580. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Characterizing the impact of social inequality on COVID-19 propagation in developing countries},\n type = {article},\n year = {2020},\n pages = {172563-172580},\n volume = {8},\n publisher = {IEEE},\n id = {c2e3d4fc-58ab-3da0-bedc-b430325e7979},\n created = {2022-06-16T01:22:15.190Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:15.652Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Cardoso2020},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Cardoso, Evelin Helena Silva and Da Silva, Marcelino Silva and Júnior, Francisco Eguinaldo De Albuquerque Félix and De Carvalho, Solon Venancio and Ferreira, André Carlos Ponce De Leon and Carvalho, De and Vijaykumar, Nandamudi and Frances, Carlos Renato Lisboa},\n journal = {Ieee Access}\n}
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\n \n\n \n \n \n \n \n COVID-19 mortality underreporting in Brazil: analysis of data from government internet portals.\n \n \n \n\n\n \n e Silva, L., V.; de Andrade Abi, M., D., P.; Dos Santos, A., M., T., B.; de Mattos Teixeira, C., A.; Gomes, V., H., M.; Cardoso, E., H., S.; da Silva, M., S.; Vijaykumar, N., L.; Carvalho, S., V.; Frances, C., R., L.; and others\n\n\n \n\n\n\n Journal of medical Internet research, 22(8): e21413. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {COVID-19 mortality underreporting in Brazil: analysis of data from government internet portals},\n type = {article},\n year = {2020},\n pages = {e21413},\n volume = {22},\n publisher = {JMIR Publications Inc., Toronto, Canada},\n id = {e70644ac-e14f-3f9d-8f5a-79237b5bb813},\n created = {2022-06-16T01:22:27.584Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.433Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {ESilva2020},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {e Silva, Lena Veiga and de Andrade Abi, Maria Da Penha and Dos Santos, Aurea Milene Teixeira Barbosa and de Mattos Teixeira, Carlos André and Gomes, Vitor Hugo Macedo and Cardoso, Evelin Helena Silva and da Silva, Marcelino S and Vijaykumar, N L and Carvalho, Solon Venâncio and Frances, Carlos Renato Lisboa and others, undefined},\n journal = {Journal of medical Internet research},\n number = {8}\n}
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\n \n\n \n \n \n \n \n A fuzzy strategy for planning centralized access networks in the installation of hybrid fiber radio systems.\n \n \n \n\n\n \n Costa, U., W., D., C.; Costa, J., C., W., A.; Silva, M., d., S.; and Francês, C., R., L.\n\n\n \n\n\n\n IEEE Access, 8: 92431-92440. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {A fuzzy strategy for planning centralized access networks in the installation of hybrid fiber radio systems},\n type = {article},\n year = {2020},\n pages = {92431-92440},\n volume = {8},\n publisher = {IEEE},\n id = {95caebed-9e89-3013-8e7e-91472b3f77f8},\n created = {2022-06-16T01:22:31.819Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.884Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Costa2020},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Costa, Ulisses Weyl Da Cunha and Costa, João C Weyl Albuquerque and Silva, Marcelino da Silva and Francês, Carlos Renato Lisbôa},\n journal = {IEEE Access}\n}
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\n \n\n \n \n \n \n \n Particle swarm-based cell range expansion for heterogeneous mobile networks.\n \n \n \n\n\n \n Kuribayashi, H., P.; De Souza, M., A.; Gomes, D., D., A.; Silva, K., D., C.; Da Silva, M., S.; Costa, J., C., W., A.; and Francês, C., R., L.\n\n\n \n\n\n\n IEEE Access, 8: 37021-37034. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Particle swarm-based cell range expansion for heterogeneous mobile networks},\n type = {article},\n year = {2020},\n pages = {37021-37034},\n volume = {8},\n publisher = {IEEE},\n id = {e95a5edb-6657-3aea-8374-298152d737e4},\n created = {2022-06-16T01:22:32.681Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:15.527Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Kuribayashi2020},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Kuribayashi, Hugo Pereira and De Souza, Marcela Alves and Gomes, Diego De Azevedo and Silva, Ketyllen Da Costa and Da Silva, Marcelino Silva and Costa, João C Weyl Albuquerque and Francês, Carlos Renato Lisbôa},\n journal = {IEEE Access}\n}
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\n \n\n \n \n \n \n \n Uma Abordagem Metodológica Experimental para Relacionar Emoções e Aprendizagem Utilizando Reconhecimento de Expressões Faciais.\n \n \n \n\n\n \n Paxiuba, C., M.; and Lima, C., P.\n\n\n \n\n\n\n Revista Brasileira de Informática na Educação, 28: 92-114. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Uma Abordagem Metodológica Experimental para Relacionar Emoções e Aprendizagem Utilizando Reconhecimento de Expressões Faciais},\n type = {article},\n year = {2020},\n pages = {92-114},\n volume = {28},\n id = {89f60164-b7ee-3c8d-b033-30fb2016eddc},\n created = {2022-06-16T01:23:08.986Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.328Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Paxiuba2020},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Paxiuba, Carla Marina and Lima, Celson Pantoja},\n journal = {Revista Brasileira de Informática na Educação}\n}
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\n  \n 2019\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n Melhorando Sistemas de Social CRM por meio de Eletronic Word-of-Mouth.\n \n \n \n\n\n \n Netto, J., S., D.; de Almeida, G., R., T.; Lobato, F., M., F.; and Junior, A., F., L., J.\n\n\n \n\n\n\n Revista Eletrônica de Iniciação Científica em Computação, 17(4). 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Melhorando Sistemas de Social CRM por meio de Eletronic Word-of-Mouth},\n type = {article},\n year = {2019},\n volume = {17},\n id = {7d58d02a-86d8-31f5-ab65-0d8e8e7c0d35},\n created = {2020-04-15T19:49:21.235Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.781Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Netto2019},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Netto, José Santos D'Aquino and de Almeida, Gustavo Rangel Torres and Lobato, Fábio Manoel França and Junior, Antonio Fernando Lavareda Jacob},\n journal = {Revista Eletrônica de Iniciação Científica em Computação},\n number = {4}\n}
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\n \n\n \n \n \n \n \n \n Ferramenta de Pré-Processamento e Visualização de dados do DATASUS.\n \n \n \n \n\n\n \n Mendes, D.; Lobato, F.; and Jacob Jr, A.\n\n\n \n\n\n\n In Anais do Workshop de Transparência em Sistemas (WTranS), pages 1-10, 7 2019. Sociedade Brasileira de Computação - SBC\n \n\n\n\n
\n\n\n\n \n \n \"FerramentaWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Ferramenta de Pré-Processamento e Visualização de dados do DATASUS},\n type = {inproceedings},\n year = {2019},\n pages = {1-10},\n websites = {https://sol.sbc.org.br/index.php/wtrans/article/view/6436},\n month = {7},\n publisher = {Sociedade Brasileira de Computação - SBC},\n id = {98783e1e-1047-3bc3-8da4-d64ad8f9d543},\n created = {2020-04-15T19:49:21.259Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.723Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Mendes2019},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Mendes, Diego and Lobato, Fabio and Jacob Jr, Antonio},\n doi = {10.5753/wtrans.2019.6436},\n booktitle = {Anais do Workshop de Transparência em Sistemas (WTranS)}\n}
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\n \n\n \n \n \n \n \n \n Reconhecimento de plantas comestı́veis não convencionais: uma análise de métodos de classificação aplicados à visão computacional.\n \n \n \n \n\n\n \n Almeida, G.; Soares, V.; Ponte, M.; and Lobato, F.\n\n\n \n\n\n\n In Anais do Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (WCAMA), pages 67-76, 7 2019. Sociedade Brasileira de Computação - SBC\n \n\n\n\n
\n\n\n\n \n \n \"ReconhecimentoWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Reconhecimento de plantas comestı́veis não convencionais: uma análise de métodos de classificação aplicados à visão computacional},\n type = {inproceedings},\n year = {2019},\n pages = {67-76},\n websites = {https://sol.sbc.org.br/index.php/wcama/article/view/6421},\n month = {7},\n publisher = {Sociedade Brasileira de Computação - SBC},\n id = {6cf40072-eb3f-3bf8-a090-b6d3f6efdb93},\n created = {2020-04-15T19:49:21.268Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.855Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Almeida2019},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Almeida, Gustavo and Soares, Virgílio and Ponte, Marcio and Lobato, Fabio},\n doi = {10.5753/wcama.2019.6421},\n booktitle = {Anais do Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (WCAMA)}\n}
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\n \n\n \n \n \n \n \n \n Social Network Advertising Classification Based on Content Categories.\n \n \n \n \n\n\n \n de Sousa, G., N.; Almeida, G., R.; and Lobato, F.\n\n\n \n\n\n\n In International Conference on Business Information Systems, pages 396-404, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"SocialWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Social Network Advertising Classification Based on Content Categories},\n type = {inproceedings},\n year = {2019},\n pages = {396-404},\n websites = {http://link.springer.com/10.1007/978-3-030-36691-9_33},\n id = {59bb8c8e-8951-3f0d-ab44-e85e37220121},\n created = {2020-04-15T19:49:21.402Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.754Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {DeSousa2019},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {de Sousa, Gustavo Nogueira and Almeida, Gustavo R and Lobato, Fábio},\n doi = {10.1007/978-3-030-36691-9_33},\n booktitle = {International Conference on Business Information Systems}\n}
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\n \n\n \n \n \n \n \n \n Proposta de um Dispositivo Não Invasivo para Monitoramento do Ambiente do Sono.\n \n \n \n \n\n\n \n Campos, V., S.; Nascimento, R., P.; Oliveira, J., A., S.; Lobato, F., M., F.; Reis, J., R.; Jacob Junior, A., F., L.; and Da Silva, M., S.\n\n\n \n\n\n\n In Anais Es endidos do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2019), pages 19-24, 6 2019. Sociedade Brasileira de Computação (SBC)\n \n\n\n\n
\n\n\n\n \n \n \"PropostaWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Proposta de um Dispositivo Não Invasivo para Monitoramento do Ambiente do Sono},\n type = {inproceedings},\n year = {2019},\n pages = {19-24},\n websites = {https://sol.sbc.org.br/index.php/sbcas_estendido/article/view/6278},\n month = {6},\n publisher = {Sociedade Brasileira de Computação (SBC)},\n id = {7ef55a80-4261-3c8c-aef4-ac0df083b04e},\n created = {2020-04-15T19:49:21.632Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:12.734Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Campos2019},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Campos, Vitor S and Nascimento, Roberto P and Oliveira, Josué A S and Lobato, Fábio M F and Reis, Josivan R and Jacob Junior, Antonio F L and Da Silva, Marcelino S},\n doi = {10.5753/sbcas.2019.6278},\n booktitle = {Anais Es endidos do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2019)}\n}
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\n \n\n \n \n \n \n \n Disability-Related News: An Analysis of User-Generated Content on Social Media Posts.\n \n \n \n\n\n \n Rodrigues, L., D., F.; Junior, A., B.; and Lobato, F., M., F.\n\n\n \n\n\n\n Proceedings of the 16th National Meeting on Artificial and Computational Intelligence. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Disability-Related News: An Analysis of User-Generated Content on Social Media Posts},\n type = {article},\n year = {2019},\n id = {3adbf54e-38a0-3a5c-bcf3-c01f5daf8cbd},\n created = {2020-04-15T19:49:21.715Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.584Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Rodrigues2019},\n source_type = {article},\n private_publication = {false},\n abstract = {Social media plays an essential role for people with disabilities and their family members by providing a channel for denouncement, in addition to inducing support networks. However, hate speech is also found in these media. In this sense, an analysis of social media posts about disability-related news in Brazil is presented in this paper. News media comments were collected and analyzed using topic modeling and sentiment analysis. Moreover, the posts were classified according to its content. The results show that there is a search on the subject, mainly regarding denunciations or for providing mutual support. The findings can guide the formation ofa support network for people with disabilities and their families.},\n bibtype = {article},\n author = {Rodrigues, Lucas Darlindo Freitas and Junior, Ademir Baségio and Lobato, Fábio Manoel França},\n journal = {Proceedings of the 16th National Meeting on Artificial and Computational Intelligence}\n}
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\n Social media plays an essential role for people with disabilities and their family members by providing a channel for denouncement, in addition to inducing support networks. However, hate speech is also found in these media. In this sense, an analysis of social media posts about disability-related news in Brazil is presented in this paper. News media comments were collected and analyzed using topic modeling and sentiment analysis. Moreover, the posts were classified according to its content. The results show that there is a search on the subject, mainly regarding denunciations or for providing mutual support. The findings can guide the formation ofa support network for people with disabilities and their families.\n
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\n \n\n \n \n \n \n \n \n Dispositivo Não Invasivo para Monitoramento do Ambiente do Sono.\n \n \n \n \n\n\n \n Oliveira, J., A., S.; Campos, V., S.; Reis, J., R.; Lobato, F., M., F.; and Nascimento, R., P.\n\n\n \n\n\n\n In Anais do XIX Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), pages 348-353, 6 2019. Sociedade Brasileira de Computação - SBC\n \n\n\n\n
\n\n\n\n \n \n \"DispositivoWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Dispositivo Não Invasivo para Monitoramento do Ambiente do Sono},\n type = {inproceedings},\n year = {2019},\n pages = {348-353},\n websites = {https://sol.sbc.org.br/index.php/sbcas/article/view/6274},\n month = {6},\n publisher = {Sociedade Brasileira de Computação - SBC},\n id = {2da72fd3-0fe8-393a-bfb9-231c280fa0a5},\n created = {2020-04-15T19:49:21.724Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.493Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Oliveira2019},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Oliveira, Josué A S and Campos, Vitor S and Reis, Josivan R and Lobato, Fábio M F and Nascimento, Roberto P},\n doi = {10.5753/sbcas.2019.6274},\n booktitle = {Anais do XIX Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS)}\n}
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\n \n\n \n \n \n \n \n \n GERENCIAMENTO DE PUBLICIDADES NA PLATAFORMA DAS REDES SOCIAIS DE ACORDOCOMCATEGORIAS DE CONTEÚDO.\n \n \n \n \n\n\n \n NOGUEIRA DE SOUSA, G.; DA SILVA GUIMARÃES, I.; FERNANDO LAVAREDA JACOB JR, A.; and MANOEL FRANÇA LOBATO, F.\n\n\n \n\n\n\n Revista SODEBRAS, 14(166): 18-23. 10 2019.\n \n\n\n\n
\n\n\n\n \n \n \"GERENCIAMENTOWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {GERENCIAMENTO DE PUBLICIDADES NA PLATAFORMA DAS REDES SOCIAIS DE ACORDOCOMCATEGORIAS DE CONTEÚDO},\n type = {article},\n year = {2019},\n pages = {18-23},\n volume = {14},\n websites = {http://sodebras.com.br/edicoes/N166.pdf},\n month = {10},\n id = {1d9df65c-308a-35fd-94d1-b264c32bafe0},\n created = {2020-04-15T19:49:21.726Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:12.746Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {NOGUEIRADESOUSA2019},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {NOGUEIRA DE SOUSA, GUSTAVO and DA SILVA GUIMARÃES, ISABELLE and FERNANDO LAVAREDA JACOB JR, ANTONIO and MANOEL FRANÇA LOBATO, FÁBIO},\n doi = {10.29367/issn.1809-3957.14.2019.166.18},\n journal = {Revista SODEBRAS},\n number = {166}\n}
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\n  \n 2018\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n Development of a Social Network for Research Support and Individual Well-Being Improvement.\n \n \n \n\n\n \n Caldas, L., V., A.; Jacob, A., F., L.; Silva, S., S., C.; Pontes, F., A., R.; and Lobato, F., M., F.\n\n\n \n\n\n\n In Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, of ASONAM '18, pages 383-386, 2018. IEEE Press\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Development of a Social Network for Research Support and Individual Well-Being Improvement},\n type = {inproceedings},\n year = {2018},\n keywords = {gamification,online social network,parental support,research support},\n pages = {383-386},\n publisher = {IEEE Press},\n series = {ASONAM '18},\n id = {3d0b21a2-560a-3aa8-a5ee-35c16187f455},\n created = {2020-04-15T19:49:21.745Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:15.667Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Caldas2018},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Caldas, Lucas V A and Jacob, Antonio F L and Silva, Simone S C and Pontes, Fernando A R and Lobato, Fábio M F},\n booktitle = {Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining}\n}
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\n \n\n \n \n \n \n \n \n Um Sistema de Aquisição e Análise de Dados para Extração de Conhecimento da Plataforma Ebit.\n \n \n \n \n\n\n \n Teixeira, M., A., M.; Lobato, F., M., F.; Chagas, B., N., R.; Jacob Jr, A., F., L.; AUGUSTO MUNIZ TEIXEIRA, M.; MANOEL FRANÇA LOBATO, F.; NERY RODRIGUES CHAGAS, B.; and LAVAREDA JACOB JUNIOR, A., F.\n\n\n \n\n\n\n CoRR, 15: 4195-4206. 5 2018.\n \n\n\n\n
\n\n\n\n \n \n \"UmWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{\n title = {Um Sistema de Aquisição e Análise de Dados para Extração de Conhecimento da Plataforma Ebit.},\n type = {article},\n year = {2018},\n keywords = {aumentando o envolvimento das,com este meio de,comunicação e tornando os,comunicação fortaleceram as redes,consumidores de produtos e,das formas de,e a consequente mudança,electronic word of mouth,o desenvolvimento da internet,os,pessoas,resumo,serviços,sociais online,social crm,social networks},\n pages = {4195-4206},\n volume = {15},\n websites = {http://contecsi.fea.usp.br/index.php/contecsi/15CONTECSI/paper/view/5903/3351},\n month = {5},\n id = {3115a955-b635-3deb-b55b-75430939595d},\n created = {2020-04-15T19:49:21.832Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.304Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Teixeira2018},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Teixeira, Marcelo Augusto Muniz and Lobato, Fábio Manoel França and Chagas, Beatriz Nery Rodrigues and Jacob Jr, Antônio Fernando Lavareda and AUGUSTO MUNIZ TEIXEIRA, MARCELO and MANOEL FRANÇA LOBATO, FÁBIO and NERY RODRIGUES CHAGAS, BEATRIZ and LAVAREDA JACOB JUNIOR, ANTONIO FERNANDO},\n doi = {10.5748/9788599693148-15CONTECSI/PS-5903},\n journal = {CoRR}\n}
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\n \n\n \n \n \n \n \n \n Current Applications of Machine Learning Techniques in CRM: A Literature Review and Practical Implications.\n \n \n \n \n\n\n \n Rodrigues Chagas, B., N.; Nogueira Viana, J., A.; Reinhold, O.; Lobato, F.; Jacob, A., F., L.; Alt, R.; Chagas, B., N., R.; Viana, J., A., N.; Reinhold, O.; Lobato, F.; Jacob, A., F., L.; and Alt, R.\n\n\n \n\n\n\n In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pages 452-458, 12 2018. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"CurrentWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Current Applications of Machine Learning Techniques in CRM: A Literature Review and Practical Implications},\n type = {inproceedings},\n year = {2018},\n pages = {452-458},\n websites = {https://ieeexplore.ieee.org/document/8609630/},\n month = {12},\n publisher = {IEEE},\n id = {ea0593bf-0141-3a9b-942c-937055a0d40a},\n created = {2020-04-15T19:49:22.079Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.905Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {RodriguesChagas2018},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Rodrigues Chagas, Beatriz Nery and Nogueira Viana, Julio Augusto and Reinhold, Olaf and Lobato, Fabio and Jacob, Antonio F L and Alt, Rainer and Chagas, Beatriz Nery Rodrigues and Viana, Julio Augusto Nogueira and Reinhold, Olaf and Lobato, Fabio and Jacob, Antonio F L and Alt, Rainer},\n doi = {10.1109/WI.2018.00-53},\n booktitle = {2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)}\n}
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\n \n\n \n \n \n \n \n Adoption of Social Crm in Micro and Small Enterprises: an Analysis of Santaré's Market.\n \n \n \n\n\n \n NOGUEIRA DE SOUSA, G.; VINíCIUS HUPPES, L.; FERNANDO LAVAREDA JACOB JR, A.; and MANOEL FRANÇA LOBATO, F.\n\n\n \n\n\n\n Proceedings of the 15th CONTECSI International Conference on Information Systems and Technology Management, 15: 0-2. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{\n title = {Adoption of Social Crm in Micro and Small Enterprises: an Analysis of Santaré's Market},\n type = {article},\n year = {2018},\n keywords = {adoção de social crm,business strategies,em micro e pequenas,empresas,information systems,micro and small enterprises,online social networks,social crm,uma análise do mercado},\n pages = {0-2},\n volume = {15},\n id = {fee6a42a-186e-359a-ae26-7d50e2a1f54d},\n created = {2020-04-15T19:49:22.141Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.421Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {NOGUEIRADESOUSA2018},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {NOGUEIRA DE SOUSA, GUSTAVO and VINíCIUS HUPPES, LUAN and FERNANDO LAVAREDA JACOB JR, ANTONIO and MANOEL FRANÇA LOBATO, FÁBIO},\n doi = {10.5748/9788599693148-15contecsi/ps-5898},\n journal = {Proceedings of the 15th CONTECSI International Conference on Information Systems and Technology Management}\n}
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\n \n\n \n \n \n \n \n Vamos falar sobre deficiência? Uma análise dos Tweets sobre este tema no Brasil.\n \n \n \n\n\n \n Lobato, F., M., F.; Silva, M.; Coelho, K.; Silva, C.; Pontes, F.; da Silva, M.; Coelho, K.; da Costa Silva, S.; and Pontes, F.\n\n\n \n\n\n\n In Anais do VII Brazilian Workshop on Social Network Analysis and Mining, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Vamos falar sobre deficiência? Uma análise dos Tweets sobre este tema no Brasil},\n type = {inproceedings},\n year = {2018},\n id = {f93a0c14-764f-3f74-8a1f-0a370c17fe2a},\n created = {2020-04-15T19:49:22.168Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.634Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Lobato2018},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Lobato, Fábio Manoel França and Silva, Marcelo and Coelho, Krislen and Silva, Costa and Pontes, Fernando and da Silva, Marcelo and Coelho, Krislen and da Costa Silva, Simone and Pontes, Fernando},\n booktitle = {Anais do VII Brazilian Workshop on Social Network Analysis and Mining}\n}
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\n \n\n \n \n \n \n \n Adoção de Social CRM em Micro e Pequenas Empresas: Uma Análise do Mercado Santareno.\n \n \n \n\n\n \n de Sousa, G., N.; Huppes, L., V.; Jacob Jr, A., F., L.; and Lobato, F., M., F.\n\n\n \n\n\n\n arXiv preprint arXiv:1811.11821. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {Adoção de Social CRM em Micro e Pequenas Empresas: Uma Análise do Mercado Santareno},\n type = {article},\n year = {2018},\n id = {2c44b99d-819e-3364-863f-5716944ef6e2},\n created = {2020-04-15T19:49:22.174Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.190Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {DeSousa2018},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {de Sousa, Gustavo Nogueira and Huppes, Luan Vin\\'\\icius and Jacob Jr, Antônio Fernando Lavareda and Lobato, Fábio Manoel França},\n journal = {arXiv preprint arXiv:1811.11821}\n}
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\n \n\n \n \n \n \n \n Social CRM in digital marketing agencies: an extensive classification of services.\n \n \n \n\n\n \n Barata, G., M.; Viana, J., A.; Reinhold, O.; Lobato, F.; and Alt, R.\n\n\n \n\n\n\n In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pages 750-753, 2018. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Social CRM in digital marketing agencies: an extensive classification of services},\n type = {inproceedings},\n year = {2018},\n keywords = {digital marketing agencies,service,social crm},\n pages = {750-753},\n publisher = {IEEE},\n id = {0077ed96-50ce-36f1-9901-27ce12529a25},\n created = {2020-04-15T19:49:22.197Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.964Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Barata2018},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Barata, Gabriela M and Viana, Julio A and Reinhold, Olaf and Lobato, Fabio and Alt, Rainer},\n doi = {10.1109/WI.2018.00009},\n booktitle = {2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)}\n}
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\n \n\n \n \n \n \n \n \n A Literature Review in Preprocessing for Sentiment Analysis for Brazilian Portuguese Social Media.\n \n \n \n \n\n\n \n Cirqueira, D.; Fontes Pinheiro, M.; Jacob, A.; Lobato, F.; and Santana, A.\n\n\n \n\n\n\n In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pages 746-749, 12 2018. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"AWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {A Literature Review in Preprocessing for Sentiment Analysis for Brazilian Portuguese Social Media},\n type = {inproceedings},\n year = {2018},\n pages = {746-749},\n websites = {https://ieeexplore.ieee.org/document/8609683/},\n month = {12},\n publisher = {IEEE},\n id = {c8e2274a-f25a-3246-abca-b9624cd0da12},\n created = {2020-04-15T19:49:22.339Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:12.167Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Cirqueira2018},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Cirqueira, Douglas and Fontes Pinheiro, Marcia and Jacob, Antonio and Lobato, Fabio and Santana, Adamo},\n doi = {10.1109/WI.2018.00008},\n booktitle = {2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)}\n}
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\n \n\n \n \n \n \n \n \n GRSUS: Gerenciamento De Recursos De Saúde, Um Estudo Sob A Ótica Da Portaria GM/MS 1631/2015 No Estado do Pará.\n \n \n \n \n\n\n \n da Silva, P., S., V., B.; Caldas, L., V., A.; Junior, A., F., L., J.; and Lobato, F., M., F.\n\n\n \n\n\n\n . 11 2018.\n \n\n\n\n
\n\n\n\n \n \n \"GRSUS:Website\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{\n title = {GRSUS: Gerenciamento De Recursos De Saúde, Um Estudo Sob A Ótica Da Portaria GM/MS 1631/2015 No Estado do Pará},\n type = {article},\n year = {2018},\n websites = {http://arxiv.org/abs/1811.10605,http://dx.doi.org/10.5748/9788599693148-15CONTECSI/PS-5891},\n month = {11},\n id = {b1ad31c0-2e81-3d92-846d-403b8ec9c446},\n created = {2020-04-15T19:49:22.601Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.082Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {DaSilva2018},\n source_type = {article},\n private_publication = {false},\n abstract = {Investments in public health had an increase of about R$ 20 bi in recent years. Even with the dynamism of the Unique Health System (SUS), only after 13 years the criteria and parameters for the planning and programming of health services have been updated. The calculations for health resources division are complex due to the nature of the SUS administrative organization, which has three administrative levels. Despite providing the criteria and parameters for the calculations, it was not provided any information system that would automate this process and provide reliable information for decision making. In order to fill such gap, this paper presents a system for health resource management from the perspective of GM/MS 1631/2015 ordinance. The tool has been validated using as case studies two municipalities in the interior of the state of Par\\'a. The results were promising, with latent market potential, being possible to simulate various scenarios for a medium and long-term predictions.},\n bibtype = {article},\n author = {da Silva, Paulo Sérgio Viegas Bernardino and Caldas, Lucas Vinícius Araújo and Junior, Antônio Fernando Lavareda Jacob and Lobato, Fábio Manoel França},\n doi = {10.5748/9788599693148-15CONTECSI/PS-5891}\n}
\n
\n\n\n
\n Investments in public health had an increase of about R$ 20 bi in recent years. Even with the dynamism of the Unique Health System (SUS), only after 13 years the criteria and parameters for the planning and programming of health services have been updated. The calculations for health resources division are complex due to the nature of the SUS administrative organization, which has three administrative levels. Despite providing the criteria and parameters for the calculations, it was not provided any information system that would automate this process and provide reliable information for decision making. In order to fill such gap, this paper presents a system for health resource management from the perspective of GM/MS 1631/2015 ordinance. The tool has been validated using as case studies two municipalities in the interior of the state of Par\\'a. The results were promising, with latent market potential, being possible to simulate various scenarios for a medium and long-term predictions.\n
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\n  \n 2017\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Opinion Label: A Gamified Crowdsourcing System for Sentiment.\n \n \n \n\n\n \n Cirqueira, D.; Vini; Cius, L.; Pinheiro, M.; Junior, A., J.; Lobato, F.; and Santana, Á.\n\n\n \n\n\n\n In Anais Estendidos do XXIII Simpósio Brasileiro de Sistemas Multim\\'\\idia e Web, pages 209-213, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Opinion Label: A Gamified Crowdsourcing System for Sentiment},\n type = {inproceedings},\n year = {2017},\n pages = {209-213},\n id = {08943c5d-28b8-382e-80c4-61c3e6a4bbcd},\n created = {2020-04-15T19:49:22.509Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.160Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Cirqueira2017a},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Cirqueira, Douglas and Vini, undefined and Cius, Lucas and Pinheiro, Márcia and Junior, Antônio Jacob and Lobato, Fábio and Santana, Ádamo},\n booktitle = {Anais Estendidos do XXIII Simpósio Brasileiro de Sistemas Multim\\'\\idia e Web}\n}
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\n \n\n \n \n \n \n \n \n Multimodal Low-Invasive System for Sleep Quality Monitoring and Improvement.\n \n \n \n \n\n\n \n Lobato, F., M., F.; de Resende, D., C., O.; do Nascimento, R., P.; Siqueira, A., L., C.; Jacob, A., F., L.; and de Santana, Á., L.\n\n\n \n\n\n\n Beyond the Internet of Things: Everything Interconnected, pages 223-242. Batalla, J., M.; Mastorakis, G.; Mavromoustakis, C., X.; and Pallis, E., editor(s). Springer International Publishing, 2017.\n \n\n\n\n
\n\n\n\n \n \n \"BeyondWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inbook{\n type = {inbook},\n year = {2017},\n pages = {223-242},\n websites = {http://dx.doi.org/10.1007/978-3-319-50758-3_9},\n publisher = {Springer International Publishing},\n city = {Cham},\n id = {960c3b8a-6b9e-323d-902b-8c1a587d9d26},\n created = {2020-04-15T19:49:22.635Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:15.582Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Lobato2017a},\n source_type = {incollection},\n private_publication = {false},\n bibtype = {inbook},\n author = {Lobato, Fábio Manoel Franca and de Resende, Damares Crystina Oliveira and do Nascimento, Roberto Pereira and Siqueira, André Luis Carvalho and Jacob, Antonio Fernando Lavareda and de Santana, Ádamo Lima},\n editor = {Batalla, Jordi Mongay and Mastorakis, George and Mavromoustakis, Constandinos X and Pallis, Evangelos},\n doi = {10.1007/978-3-319-50758-3_9},\n chapter = {Multimodal Low-Invasive System for Sleep Quality Monitoring and Improvement},\n title = {Beyond the Internet of Things: Everything Interconnected}\n}
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\n \n\n \n \n \n \n \n \n Data Analysis of Multiplex Sequencing at SOLiD Platform: A Probabilistic Approach to Characterization and Reliability Increase.\n \n \n \n \n\n\n \n Lobato, F., M., F.; Damasceno, C., D.; Leite, D., S.; Ribeiro-dos-Santos, Â., K.; Darnet, S.; Francês, C., R.; Vijaykumar, N., L.; de Santana, Á., L.; França Lobato, F., M.; Damasceno, C., D.; Soares Leite, D.; Ribeiro-dos-Santos, Â., K.; Darnet, S.; Francês, C., R.; Lankalapalli Vijaykumar, N.; and de Santana, Á., L.\n\n\n \n\n\n\n American Journal of Molecular Biology, 8(1): 26-38. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"DataWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{\n title = {Data Analysis of Multiplex Sequencing at SOLiD Platform: A Probabilistic Approach to Characterization and Reliability Increase},\n type = {article},\n year = {2017},\n keywords = {Health Informatics,Probabilistic Modeling,SOLiD},\n pages = {26-38},\n volume = {8},\n websites = {http://www.scirp.org/journal/doi.aspx?DOI=10.4236/ajmb.2018.81003},\n publisher = {Scientific Research Publishing},\n id = {e31cb219-c970-3315-a319-efd04ce31b2b},\n created = {2020-04-15T19:49:22.640Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:12.574Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Lobato2017},\n source_type = {article},\n private_publication = {false},\n abstract = {New sequencing technologies such as Illumina/Solexa, SOLiD/ABI, and 454/Roche, revolutionized the biological researches. In this context, the SOLiD platform has a particular sequencing type, known as multiplex run, which enables the sequencing of several samples in a single run. It implies in cost reduction and simplifies the analysis of related samples. Meanwhile, this sequencing type requires an additional filtering step to ensure the reliability of the results. Thus, we propose in this paper a probabilistic model which considers the intrinsic characteristics of each sequencing to characterize multiplex runs and filter low-quality data, increasing the data analysis reliability of multiplex sequencing performed on SOLiD. The results show that the proposed model proves to be satisfactory due to: 1) identification of faults in the sequencing process; 2) adaptation and development of new protocols for sample preparation; 3) the assignment of a degree of confidence to the data generated; and 4) guiding a filtering process, without discarding useful sequences in an arbitrary manner.},\n bibtype = {article},\n author = {Lobato, Fábio Manoel França and Damasceno, Carlos Diego and Leite, Daniela Soares and Ribeiro-dos-Santos, Ândrea Kelly and Darnet, Sylvain and Francês, Carlos Renato and Vijaykumar, Nandamudi Lankalapalli and de Santana, Ádamo Lima and França Lobato, Fábio Manoel and Damasceno, Carlos Diego and Soares Leite, Daniela and Ribeiro-dos-Santos, Ândrea Kelly and Darnet, Sylvain and Francês, Carlos Renato and Lankalapalli Vijaykumar, Nandamudi and de Santana, Ádamo Lima},\n doi = {10.4236/ajmb.2018.81003},\n journal = {American Journal of Molecular Biology},\n number = {1}\n}
\n
\n\n\n
\n New sequencing technologies such as Illumina/Solexa, SOLiD/ABI, and 454/Roche, revolutionized the biological researches. In this context, the SOLiD platform has a particular sequencing type, known as multiplex run, which enables the sequencing of several samples in a single run. It implies in cost reduction and simplifies the analysis of related samples. Meanwhile, this sequencing type requires an additional filtering step to ensure the reliability of the results. Thus, we propose in this paper a probabilistic model which considers the intrinsic characteristics of each sequencing to characterize multiplex runs and filter low-quality data, increasing the data analysis reliability of multiplex sequencing performed on SOLiD. The results show that the proposed model proves to be satisfactory due to: 1) identification of faults in the sequencing process; 2) adaptation and development of new protocols for sample preparation; 3) the assignment of a degree of confidence to the data generated; and 4) guiding a filtering process, without discarding useful sequences in an arbitrary manner.\n
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\n \n\n \n \n \n \n \n Improving Social CRM through eletronic word-of-mouth: a case study of ReclameAqui.\n \n \n \n\n\n \n de Almeida, G., R., T.; Lobato, F., F., M., F.; Cirqueira, D., R.; and Lobato, F., F., M., F.\n\n\n \n\n\n\n In XIVWorkshop de Trabalhos de Iniciação Científic, pages 107-110, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Improving Social CRM through eletronic word-of-mouth: a case study of ReclameAqui},\n type = {inproceedings},\n year = {2017},\n pages = {107-110},\n id = {a754cc38-b7fb-32b9-8cce-79c17b3a291d},\n created = {2020-04-15T19:49:22.678Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:15.837Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {DeAlmeida2017},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {The ways of relationship between companies and customers have changed dramatically due to web-users engagement with Online Social Networks, impacting on the way consumers make purchase decisions. As a consequence, this phenomenon brought up a new concept, the Social Customer Relationship Management. In this context, Electronic Word-of-Mouth plays a significant role since customers are more exigent and having easy access to steadily more information about products, services and brands reputation. However, many reputation platforms do not provide an interface for automatic data collection. Thus, these data are not used in business decision making. Aiming to fill these gaps we propose an automatic data retrieval and analysis methods to knowledge extraction from Electronic Word-of-Mouth platforms, providing more reliability to the decision-making processes. The analysis consists in topic modeling using Latent Dirichlet Allocation to identify most frequent complaints and their correlations. Both, the data retrieval method and the analysis method are platform independent. A well-known reputation platform in Brazil was used to evaluate our proposal, the ReclameAqui.},\n bibtype = {inproceedings},\n author = {de Almeida, Gustavo Rangel Torres and Lobato, Fabio Fábio M F and Cirqueira, Douglas Rocha and Lobato, Fabio Fábio M F},\n booktitle = {XIVWorkshop de Trabalhos de Iniciação Científic}\n}
\n
\n\n\n
\n The ways of relationship between companies and customers have changed dramatically due to web-users engagement with Online Social Networks, impacting on the way consumers make purchase decisions. As a consequence, this phenomenon brought up a new concept, the Social Customer Relationship Management. In this context, Electronic Word-of-Mouth plays a significant role since customers are more exigent and having easy access to steadily more information about products, services and brands reputation. However, many reputation platforms do not provide an interface for automatic data collection. Thus, these data are not used in business decision making. Aiming to fill these gaps we propose an automatic data retrieval and analysis methods to knowledge extraction from Electronic Word-of-Mouth platforms, providing more reliability to the decision-making processes. The analysis consists in topic modeling using Latent Dirichlet Allocation to identify most frequent complaints and their correlations. Both, the data retrieval method and the analysis method are platform independent. A well-known reputation platform in Brazil was used to evaluate our proposal, the ReclameAqui.\n
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\n\n\n
\n \n\n \n \n \n \n \n \n A Methodology for Community Detection in Twitter.\n \n \n \n \n\n\n \n Silva, W.; Santana, Á.; Lobato, F.; and Pinheiro, M.\n\n\n \n\n\n\n In Proceedings of the International Conference on Web Intelligence, pages 1006-1009, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"AWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{\n title = {A Methodology for Community Detection in Twitter},\n type = {inproceedings},\n year = {2017},\n keywords = {Twitter,community detection,feature selection,methodology},\n pages = {1006-1009},\n websites = {http://doi.acm.org/10.1145/3106426.3117760},\n id = {b9a20734-39ed-38a3-99f3-fb511a05d444},\n created = {2020-04-15T19:49:22.776Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.963Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Silva2017},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Silva, Wendel and Santana, Ádamo and Lobato, Fábio and Pinheiro, Márcia},\n doi = {10.1145/3106426.3117760},\n booktitle = {Proceedings of the International Conference on Web Intelligence}\n}
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\n \n\n \n \n \n \n \n Social CRM : Estudo do mercado santareno.\n \n \n \n\n\n \n Huppes, L., V.; and Lobato, F., M., F.\n\n\n \n\n\n\n Technical Report Federal University of Western Pará, 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@techreport{\n title = {Social CRM : Estudo do mercado santareno},\n type = {techreport},\n year = {2017},\n city = {Santarém},\n institution = {Federal University of Western Pará},\n id = {3217dc13-2b1c-3af4-9a33-96ce2b38a0d2},\n created = {2020-04-15T19:49:23.103Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:15.146Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Huppes2017},\n source_type = {techreport},\n private_publication = {false},\n bibtype = {techreport},\n author = {Huppes, Luan V and Lobato, Fábio M F}\n}
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\n \n\n \n \n \n \n \n Opinion Label : A Gamified Crowdsourcing System for Sentiment Analysis Annotation.\n \n \n \n\n\n \n Cirqueira, D.; Vinícius, L.; Pinheiro, M.; L., J., J., A., F.; Lobato, F.; and Santana, Á.\n\n\n \n\n\n\n In XVI Workshop de Ferramentas e Aplicações, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Opinion Label : A Gamified Crowdsourcing System for Sentiment Analysis Annotation},\n type = {inproceedings},\n year = {2017},\n keywords = {annotation,crowdsourcing,gamification,sentiment analysis,tagging,text,text mining},\n id = {19ff7108-b03c-3bb9-81ec-4eaca48d4420},\n created = {2020-04-15T19:49:23.118Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.445Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Cirqueira2017},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Cirqueira, Douglas and Vinícius, Lucas and Pinheiro, Márcia and L., Jacob Jr. Antônio F and Lobato, Fábio and Santana, Ádamo},\n booktitle = {XVI Workshop de Ferramentas e Aplicações}\n}
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\n  \n 2016\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Time series imputation using genetic programming and Lagrange interpolation.\n \n \n \n \n\n\n \n de Resende, D., C., O.; de Santana, Á., L.; and Lobato, F., M., F., F., M., F., F., M., F.\n\n\n \n\n\n\n In 5th Brazilian Conference on Intelligent Systems, pages 169-174, 10 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"TimeWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Time series imputation using genetic programming and Lagrange interpolation},\n type = {inproceedings},\n year = {2016},\n keywords = {Data imputation,Genetic programming,Lagrange interpolation,Missing data,Time series,data imputation,genetic programming,lagrange interpolation,missing data,time series},\n pages = {169-174},\n websites = {http://ieeexplore.ieee.org/document/7839581/},\n month = {10},\n publisher = {IEEE},\n city = {Vitória, ES},\n id = {d7fad5be-2f6e-30f7-8403-1629f5d03bea},\n created = {2020-04-15T19:49:23.117Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.183Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {DeResende2016},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {Time series have been used in several applications such as process control, environment monitoring, financial analysis and scientific researches. However, in the presence of missing data, this study may become more complex due to a strong break of correlation among samples. Therefore, this work proposes an imputation method for time series using Genetic Programming (GP) and Lagrange Interpolation. The heuristic adopted builds an interpretable regression model that explores time series statistical features such as mean, variance and auto-correlation. It also makes use of interrelation among multivariate time series to estimate missing values. Results show that the proposed method is promising, being capable of imputing data without loosing the dataset's statistical properties, as well as allowing a better understanding of the missing data pattern from the obtained interpretable model.},\n bibtype = {inproceedings},\n author = {de Resende, Damares C O and de Santana, Ádamo Lima and Lobato, Fábio Manoel França Fabio Manoel Franca Fábio M F},\n doi = {10.1109/BRACIS.2016.30},\n booktitle = {5th Brazilian Conference on Intelligent Systems}\n}
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\n Time series have been used in several applications such as process control, environment monitoring, financial analysis and scientific researches. However, in the presence of missing data, this study may become more complex due to a strong break of correlation among samples. Therefore, this work proposes an imputation method for time series using Genetic Programming (GP) and Lagrange Interpolation. The heuristic adopted builds an interpretable regression model that explores time series statistical features such as mean, variance and auto-correlation. It also makes use of interrelation among multivariate time series to estimate missing values. Results show that the proposed method is promising, being capable of imputing data without loosing the dataset's statistical properties, as well as allowing a better understanding of the missing data pattern from the obtained interpretable model.\n
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\n \n\n \n \n \n \n \n Estratégias evolucionárias para otimização no tratamento de dados ausentes por imputação múltipla de dados.\n \n \n \n\n\n \n LOBATO, F., M., F.; and Others\n\n\n \n\n\n\n . 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{\n title = {Estratégias evolucionárias para otimização no tratamento de dados ausentes por imputação múltipla de dados},\n type = {article},\n year = {2016},\n publisher = {Universidade Federal do Pará},\n id = {2674383e-2a76-3c29-b10f-391271edb92a},\n created = {2020-04-15T19:49:23.135Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.403Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {LOBATO2016},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {LOBATO, Fábio Manoel França and Others, undefined}\n}
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\n \n\n \n \n \n \n \n \n Performance evaluation of sentiment analysis methods for Brazilian Portuguese.\n \n \n \n \n\n\n \n Cirqueira, D.; Jacob, A.; Lobato, F.; de Santana, A., L.; and Pinheiro, M.\n\n\n \n\n\n\n In Abramowicz, W.; Alt, R.; and Franczyk, B., editor(s), International Conference on Business Information Systems, pages 245-251, 2016. Springer International Publishing\n \n\n\n\n
\n\n\n\n \n \n \"PerformanceWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{\n title = {Performance evaluation of sentiment analysis methods for Brazilian Portuguese},\n type = {inproceedings},\n year = {2016},\n pages = {245-251},\n websites = {http://dx.doi.org/10.1007/978-3-319-52464-1_22,http://link.springer.com/10.1007/978-3-319-52464-1_22},\n publisher = {Springer International Publishing},\n city = {Cham},\n id = {80e9b61a-501d-34e8-9efb-3678003f3b38},\n created = {2020-04-15T19:49:23.140Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:16.206Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Cirqueira2016},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Cirqueira, Douglas and Jacob, Antonio and Lobato, Fábio and de Santana, Adamo Lima and Pinheiro, Márcia},\n editor = {Abramowicz, Witold and Alt, Rainer and Franczyk, Bogdan},\n doi = {10.1007/978-3-319-52464-1_22},\n booktitle = {International Conference on Business Information Systems}\n}
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\n \n\n \n \n \n \n \n Multivariate time series imputation using genetic programming.\n \n \n \n\n\n \n Resende, D., C., O.; Santana, Á., L., D.; L., J., J., A., F.; and Lobato, F., M., F.\n\n\n \n\n\n\n In Anais do XLVIII SBPO Simpósio Brasileiro de Pesquisa Operacional, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{\n title = {Multivariate time series imputation using genetic programming},\n type = {inproceedings},\n year = {2016},\n city = {Vitória, ES},\n id = {d4b886f5-1d8a-3719-b0eb-6fe49ea7d342},\n created = {2020-04-15T19:49:23.200Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:14.304Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Resende2016},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Resende, Damares C O and Santana, Ádamo L De and L., Jacob Jr. Antônio F and Lobato, Fábio M F},\n booktitle = {Anais do XLVIII SBPO Simpósio Brasileiro de Pesquisa Operacional}\n}
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\n  \n 2015\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n An Evolutionary Missing Data Imputation Method for Pattern Classification.\n \n \n \n \n\n\n \n Lobato, F., M., F.; Tadaiesky, V., W.; Araújo, I., M.; and de Santana, Á., L.\n\n\n \n\n\n\n In Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference, of GECCO Companion '15, pages 1013-1019, 2015. ACM\n \n\n\n\n
\n\n\n\n \n \n \"AnWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{\n title = {An Evolutionary Missing Data Imputation Method for Pattern Classification},\n type = {inproceedings},\n year = {2015},\n keywords = {data imputation,evolutionary computing,genetic algorithms,missing data},\n pages = {1013-1019},\n websites = {http://doi.acm.org/10.1145/2739482.2768451},\n publisher = {ACM},\n city = {New York, NY, USA},\n series = {GECCO Companion '15},\n id = {f1bf2438-a1b9-3504-b6a9-0a7b9c6eca65},\n created = {2020-04-15T19:49:23.569Z},\n file_attached = {false},\n profile_id = {bd1f7f2e-7152-3c06-841d-eee1e29b03d2},\n group_id = {0ea50baf-be5a-3ec5-9548-2232bf737587},\n last_modified = {2023-04-14T18:04:13.753Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n citation_key = {Lobato2015},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {Data analysis plays an important role in our Information Era; however, most of statistical and machine learning algorithms were not developed to tackle the ubiquitous issue of missing values. In pattern classification, several strategies have been proposed to handle this problem, where missing data imputation is the most used one, which can be viewed as an optimization problem where the goal is to reduce the bias imposed by the absence of information. Although most imputation methods are restricted to one type of variable only (categorical or numerical), they usually ignore information within incomplete instances. To fill these gaps, we propose an evolutionary missing data imputation method for pattern classification, based on a genetic algorithm, which is suitable for mixed-attribute datasets and takes into account information from incomplete instances and model building - more specifically, the classification accuracy. To assess the performance of our method, we used three algorithms in order to represent the three groups of classification methods: 1) rule induction learning, 2) approximate models and 3) lazy learning. Experiments have shown that the proposed method outperforms some well-established missing value treatment methods. Copyright is held by the owner/author(s).},\n bibtype = {inproceedings},\n author = {Lobato, Fábio M F and Tadaiesky, Vincent W and Araújo, Igor M and de Santana, Ádamo L},\n doi = {10.1145/2739482.2768451},\n booktitle = {Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference}\n}
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\n Data analysis plays an important role in our Information Era; however, most of statistical and machine learning algorithms were not developed to tackle the ubiquitous issue of missing values. In pattern classification, several strategies have been proposed to handle this problem, where missing data imputation is the most used one, which can be viewed as an optimization problem where the goal is to reduce the bias imposed by the absence of information. Although most imputation methods are restricted to one type of variable only (categorical or numerical), they usually ignore information within incomplete instances. To fill these gaps, we propose an evolutionary missing data imputation method for pattern classification, based on a genetic algorithm, which is suitable for mixed-attribute datasets and takes into account information from incomplete instances and model building - more specifically, the classification accuracy. To assess the performance of our method, we used three algorithms in order to represent the three groups of classification methods: 1) rule induction learning, 2) approximate models and 3) lazy learning. Experiments have shown that the proposed method outperforms some well-established missing value treatment methods. Copyright is held by the owner/author(s).\n
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