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\n\n \n \n \n \n \n \n Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study.\n \n \n \n \n\n\n \n Macêdo, D.; Zanchettin, C.; Oliveira, A. L. I.; and Ludermir, T. B.\n\n\n \n\n\n\n
Expert Syst. Appl., 124: 271–281. 2019.\n
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@article{DBLP:journals/eswa/MacedoZOL19,\n author = {David Mac{\\^{e}}do and\n Cleber Zanchettin and\n Adriano L. I. Oliveira and\n Teresa Bernarda Ludermir},\n title = {Enhancing batch normalized convolutional networks using displaced\n rectifier linear units: {A} systematic comparative study},\n journal = {Expert Syst. Appl.},\n volume = {124},\n pages = {271--281},\n year = {2019},\n url = {https://doi.org/10.1016/j.eswa.2019.01.066},\n doi = {10.1016/J.ESWA.2019.01.066},\n timestamp = {Fri, 31 May 2019 01:00:00 +0200},\n biburl = {https://dblp.org/rec/journals/eswa/MacedoZOL19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Active Image Data Augmentation.\n \n \n \n \n\n\n \n Santos, F. A. O.; Zanchettin, C.; Matos, L. N.; and Novais, P.\n\n\n \n\n\n\n In García, H. P.; Sánchez-González, L.; Limas, M. C.; Quintián-Pardo, H.; and Rodríguez, E. S. C., editor(s),
Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, León, Spain, September 4-6, 2019, Proceedings, volume 11734, of
Lecture Notes in Computer Science, pages 310–321, 2019. Springer\n
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@inproceedings{DBLP:conf/hais/SantosZMN19,\n author = {Fl{\\'{a}}vio Arthur Oliveira Santos and\n Cleber Zanchettin and\n Leonardo Nogueira Matos and\n Paulo Novais},\n editor = {Hilde P{\\'{e}}rez Garc{\\'{\\i}}a and\n Lidia S{\\'{a}}nchez{-}Gonz{\\'{a}}lez and\n Manuel Castej{\\'{o}}n Limas and\n H{\\'{e}}ctor Quinti{\\'{a}}n{-}Pardo and\n Emilio S. Corchado Rodr{\\'{\\i}}guez},\n title = {Active Image Data Augmentation},\n booktitle = {Hybrid Artificial Intelligent Systems - 14th International Conference,\n {HAIS} 2019, Le{\\'{o}}n, Spain, September 4-6, 2019, Proceedings},\n series = {Lecture Notes in Computer Science},\n volume = {11734},\n pages = {310--321},\n publisher = {Springer},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-29859-3\\_27},\n doi = {10.1007/978-3-030-29859-3\\_27},\n timestamp = {Thu, 05 Sep 2019 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/hais/SantosZMN19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Squeezed Very Deep Convolutional Neural Networks for Text Classification.\n \n \n \n \n\n\n \n Duque, A. B.; Santos, L. L. J.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n In Tetko, I. V.; Kurková, V.; Karpov, P.; and Theis, F. J., editor(s),
Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I, volume 11727, of
Lecture Notes in Computer Science, pages 193–207, 2019. Springer\n
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@inproceedings{DBLP:conf/icann/DuqueSMZ19,\n author = {Andr{\\'{e}}a B. Duque and\n Lu{\\~{a}} L{\\'{a}}zaro J. Santos and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n editor = {Igor V. Tetko and\n Vera Kurkov{\\'{a}} and\n Pavel Karpov and\n Fabian J. Theis},\n title = {Squeezed Very Deep Convolutional Neural Networks for Text Classification},\n booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2019: Theoretical\n Neural Computation - 28th International Conference on Artificial Neural\n Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part\n {I}},\n series = {Lecture Notes in Computer Science},\n volume = {11727},\n pages = {193--207},\n publisher = {Springer},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-30487-4\\_16},\n doi = {10.1007/978-3-030-30487-4\\_16},\n timestamp = {Sat, 19 Oct 2019 20:11:53 +0200},\n biburl = {https://dblp.org/rec/conf/icann/DuqueSMZ19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Hierarchical Attentional Hybrid Neural Networks for Document Classification.\n \n \n \n \n\n\n \n Abreu, J.; Fred, L.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n In Tetko, I. V.; Kurková, V.; Karpov, P.; and Theis, F. J., editor(s),
Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions, volume 11731, of
Lecture Notes in Computer Science, pages 396–402, 2019. Springer\n
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@inproceedings{DBLP:conf/icann/AbreuFMZ19,\n author = {Jader Abreu and\n Luis Fred and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n editor = {Igor V. Tetko and\n Vera Kurkov{\\'{a}} and\n Pavel Karpov and\n Fabian J. Theis},\n title = {Hierarchical Attentional Hybrid Neural Networks for Document Classification},\n booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2019 - 28th\n International Conference on Artificial Neural Networks, Munich, Germany,\n September 17-19, 2019, Proceedings - Workshop and Special Sessions},\n series = {Lecture Notes in Computer Science},\n volume = {11731},\n pages = {396--402},\n publisher = {Springer},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-30493-5\\_39},\n doi = {10.1007/978-3-030-30493-5\\_39},\n timestamp = {Sat, 19 Oct 2019 20:11:52 +0200},\n biburl = {https://dblp.org/rec/conf/icann/AbreuFMZ19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition.\n \n \n \n \n\n\n \n de Amorim, C. C.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n In Tetko, I. V.; Kurková, V.; Karpov, P.; and Theis, F. J., editor(s),
Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions, volume 11731, of
Lecture Notes in Computer Science, pages 646–657, 2019. Springer\n
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@inproceedings{DBLP:conf/icann/AmorimMZ19,\n author = {Cleison Correia de Amorim and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n editor = {Igor V. Tetko and\n Vera Kurkov{\\'{a}} and\n Pavel Karpov and\n Fabian J. Theis},\n title = {Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition},\n booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2019 - 28th\n International Conference on Artificial Neural Networks, Munich, Germany,\n September 17-19, 2019, Proceedings - Workshop and Special Sessions},\n series = {Lecture Notes in Computer Science},\n volume = {11731},\n pages = {646--657},\n publisher = {Springer},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-30493-5\\_59},\n doi = {10.1007/978-3-030-30493-5\\_59},\n timestamp = {Mon, 23 Sep 2019 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/icann/AmorimMZ19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes.\n \n \n \n \n\n\n \n Silva, E. J. R.; and Zanchettin, C.\n\n\n \n\n\n\n In Tetko, I. V.; Kurková, V.; Karpov, P.; and Theis, F. J., editor(s),
Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part II, volume 11728, of
Lecture Notes in Computer Science, pages 766–778, 2019. Springer\n
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@inproceedings{DBLP:conf/icann/SilvaZ19,\n author = {Evandro J. R. Silva and\n Cleber Zanchettin},\n editor = {Igor V. Tetko and\n Vera Kurkov{\\'{a}} and\n Pavel Karpov and\n Fabian J. Theis},\n title = {Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple\n Imbalanced Classes},\n booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2019: Deep\n Learning - 28th International Conference on Artificial Neural Networks,\n Munich, Germany, September 17-19, 2019, Proceedings, Part {II}},\n series = {Lecture Notes in Computer Science},\n volume = {11728},\n pages = {766--778},\n publisher = {Springer},\n year = {2019},\n url = {https://doi.org/10.1007/978-3-030-30484-3\\_60},\n doi = {10.1007/978-3-030-30484-3\\_60},\n timestamp = {Sun, 06 Oct 2024 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/icann/SilvaZ19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network.\n \n \n \n \n\n\n \n Silva, P. G. S.; Junior, C. A. M. L.; Lima, E.; Bezerra, B. L. D.; and Zanchettin, C.\n\n\n \n\n\n\n In
2019 International Conference on Document Analysis and Recognition, ICDAR 2019, Sydney, Australia, September 20-25, 2019, pages 1417–1423, 2019. IEEE\n
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@inproceedings{DBLP:conf/icdar/SilvaJLBZ19,\n author = {Paloma G. S. Silva and\n Celso A. M. Lopes Junior and\n Estanislau Lima and\n Byron L. D. Bezerra and\n Cleber Zanchettin},\n title = {Speeding-up the Handwritten Signature Segmentation Process through\n an Optimized Fully Convolutional Neural Network},\n booktitle = {2019 International Conference on Document Analysis and Recognition,\n {ICDAR} 2019, Sydney, Australia, September 20-25, 2019},\n pages = {1417--1423},\n publisher = {{IEEE}},\n year = {2019},\n url = {https://doi.org/10.1109/ICDAR.2019.00228},\n doi = {10.1109/ICDAR.2019.00228},\n timestamp = {Mon, 15 Jun 2020 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/icdar/SilvaJLBZ19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Towards Optimizing Convolutional Neural Networks for Robotic Surgery Skill Evaluation.\n \n \n \n \n\n\n \n Castro, D.; Pereira, D.; Zanchettin, C.; Macêdo, D.; and Bezerra, B. L. D.\n\n\n \n\n\n\n In
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pages 1–8, 2019. IEEE\n
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@inproceedings{DBLP:conf/ijcnn/CastroPZMB19,\n author = {Dayvid Castro and\n Danilo Pereira and\n Cleber Zanchettin and\n David Mac{\\^{e}}do and\n Byron L. D. Bezerra},\n title = {Towards Optimizing Convolutional Neural Networks for Robotic Surgery\n Skill Evaluation},\n booktitle = {International Joint Conference on Neural Networks, {IJCNN} 2019 Budapest,\n Hungary, July 14-19, 2019},\n pages = {1--8},\n publisher = {{IEEE}},\n year = {2019},\n url = {https://doi.org/10.1109/IJCNN.2019.8852341},\n doi = {10.1109/IJCNN.2019.8852341},\n timestamp = {Mon, 15 Jun 2020 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/ijcnn/CastroPZMB19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Heartbeat Anomaly Detection using Adversarial Oversampling.\n \n \n \n \n\n\n \n Lima, J. L. P.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n In
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pages 1–7, 2019. IEEE\n
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@inproceedings{DBLP:conf/ijcnn/LimaMZ19,\n author = {Jefferson L. P. Lima and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n title = {Heartbeat Anomaly Detection using Adversarial Oversampling},\n booktitle = {International Joint Conference on Neural Networks, {IJCNN} 2019 Budapest,\n Hungary, July 14-19, 2019},\n pages = {1--7},\n publisher = {{IEEE}},\n year = {2019},\n url = {https://doi.org/10.1109/IJCNN.2019.8852242},\n doi = {10.1109/IJCNN.2019.8852242},\n timestamp = {Sun, 06 Oct 2024 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/ijcnn/LimaMZ19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Additive Margin SincNet for Speaker Recognition.\n \n \n \n \n\n\n \n Nunes, J. A. C.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n In
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pages 1–5, 2019. IEEE\n
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@inproceedings{DBLP:conf/ijcnn/NunesMZ19,\n author = {Jo{\\~{a}}o Ant{\\^{o}}nio Chagas Nunes and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n title = {Additive Margin SincNet for Speaker Recognition},\n booktitle = {International Joint Conference on Neural Networks, {IJCNN} 2019 Budapest,\n Hungary, July 14-19, 2019},\n pages = {1--5},\n publisher = {{IEEE}},\n year = {2019},\n url = {https://doi.org/10.1109/IJCNN.2019.8852112},\n doi = {10.1109/IJCNN.2019.8852112},\n timestamp = {Fri, 27 Dec 2019 00:00:00 +0100},\n biburl = {https://dblp.org/rec/conf/ijcnn/NunesMZ19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n On the Influence of the Color Model for Image Boundary Detection Algorithms based on Convolutional Neural Networks.\n \n \n \n \n\n\n \n dos Santos, T. J.; Mello, C. A. B.; Zanchettin, C.; and de Souza, T. V. M.\n\n\n \n\n\n\n In
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pages 1–8, 2019. IEEE\n
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@inproceedings{DBLP:conf/ijcnn/SantosMZS19,\n author = {Tiago J. dos Santos and\n Carlos A. B. Mello and\n Cleber Zanchettin and\n Thiago V. M. de Souza},\n title = {On the Influence of the Color Model for Image Boundary Detection Algorithms\n based on Convolutional Neural Networks},\n booktitle = {International Joint Conference on Neural Networks, {IJCNN} 2019 Budapest,\n Hungary, July 14-19, 2019},\n pages = {1--8},\n publisher = {{IEEE}},\n year = {2019},\n url = {https://doi.org/10.1109/IJCNN.2019.8851701},\n doi = {10.1109/IJCNN.2019.8851701},\n timestamp = {Mon, 26 Jun 2023 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/ijcnn/SantosMZS19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Improving Universal Language Model Fine-Tuning using Attention Mechanism.\n \n \n \n \n\n\n \n Santos, F. A. O.; Ponce-Guevara, K. L.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n In
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pages 1–7, 2019. IEEE\n
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@inproceedings{DBLP:conf/ijcnn/SantosPMZ19,\n author = {Fl{\\'{a}}vio Arthur O. Santos and\n Karina L. Ponce{-}Guevara and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n title = {Improving Universal Language Model Fine-Tuning using Attention Mechanism},\n booktitle = {International Joint Conference on Neural Networks, {IJCNN} 2019 Budapest,\n Hungary, July 14-19, 2019},\n pages = {1--7},\n publisher = {{IEEE}},\n year = {2019},\n url = {https://doi.org/10.1109/IJCNN.2019.8852398},\n doi = {10.1109/IJCNN.2019.8852398},\n timestamp = {Fri, 27 Dec 2019 00:00:00 +0100},\n biburl = {https://dblp.org/rec/conf/ijcnn/SantosPMZ19.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Hierarchical Attentional Hybrid Neural Networks for Document Classification.\n \n \n \n \n\n\n \n Abreu, J.; Fred, L.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n
CoRR, abs/1901.06610. 2019.\n
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@article{DBLP:journals/corr/abs-1901-06610,\n author = {Jader Abreu and\n Luis Fred and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n title = {Hierarchical Attentional Hybrid Neural Networks for Document Classification},\n journal = {CoRR},\n volume = {abs/1901.06610},\n year = {2019},\n url = {http://arxiv.org/abs/1901.06610},\n eprinttype = {arXiv},\n eprint = {1901.06610},\n timestamp = {Fri, 01 Feb 2019 00:00:00 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1901-06610.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Squeezed Very Deep Convolutional Neural Networks for Text Classification.\n \n \n \n \n\n\n \n Duque, A. B.; Santos, L. L. J.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n
CoRR, abs/1901.09821. 2019.\n
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@article{DBLP:journals/corr/abs-1901-09821,\n author = {Andr{\\'{e}}a B. Duque and\n Lu{\\~{a}} L{\\'{a}}zaro J. Santos and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n title = {Squeezed Very Deep Convolutional Neural Networks for Text Classification},\n journal = {CoRR},\n volume = {abs/1901.09821},\n year = {2019},\n url = {http://arxiv.org/abs/1901.09821},\n eprinttype = {arXiv},\n eprint = {1901.09821},\n timestamp = {Sat, 02 Feb 2019 00:00:00 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1901-09821.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Heartbeat Anomaly Detection using Adversarial Oversampling.\n \n \n \n \n\n\n \n Lima, J. L. P.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n
CoRR, abs/1901.09972. 2019.\n
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@article{DBLP:journals/corr/abs-1901-09972,\n author = {Jefferson L. P. Lima and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n title = {Heartbeat Anomaly Detection using Adversarial Oversampling},\n journal = {CoRR},\n volume = {abs/1901.09972},\n year = {2019},\n url = {http://arxiv.org/abs/1901.09972},\n eprinttype = {arXiv},\n eprint = {1901.09972},\n timestamp = {Sat, 02 Feb 2019 00:00:00 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1901-09972.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Additive Margin SincNet for Speaker Recognition.\n \n \n \n \n\n\n \n Nunes, J. A. C.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n
CoRR, abs/1901.10826. 2019.\n
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@article{DBLP:journals/corr/abs-1901-10826,\n author = {Jo{\\~{a}}o Ant{\\^{o}}nio Chagas Nunes and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n title = {Additive Margin SincNet for Speaker Recognition},\n journal = {CoRR},\n volume = {abs/1901.10826},\n year = {2019},\n url = {http://arxiv.org/abs/1901.10826},\n eprinttype = {arXiv},\n eprint = {1901.10826},\n timestamp = {Sun, 03 Feb 2019 00:00:00 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1901-10826.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition.\n \n \n \n \n\n\n \n de Amorim, C. C.; Macêdo, D.; and Zanchettin, C.\n\n\n \n\n\n\n
CoRR, abs/1901.11164. 2019.\n
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@article{DBLP:journals/corr/abs-1901-11164,\n author = {Cleison Correia de Amorim and\n David Mac{\\^{e}}do and\n Cleber Zanchettin},\n title = {Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition},\n journal = {CoRR},\n volume = {abs/1901.11164},\n year = {2019},\n url = {http://arxiv.org/abs/1901.11164},\n eprinttype = {arXiv},\n eprint = {1901.11164},\n timestamp = {Mon, 04 Feb 2019 00:00:00 +0100},\n biburl = {https://dblp.org/rec/journals/corr/abs-1901-11164.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.\n \n \n \n \n\n\n \n Macêdo, D.; Ren, T. I.; Zanchettin, C.; Oliveira, A. L. I.; Tapp, A.; and Ludermir, T. B.\n\n\n \n\n\n\n
CoRR, abs/1908.05569. 2019.\n
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@article{DBLP:journals/corr/abs-1908-05569,\n author = {David Mac{\\^{e}}do and\n Tsang Ing Ren and\n Cleber Zanchettin and\n Adriano L. I. Oliveira and\n Alain Tapp and\n Teresa Bernarda Ludermir},\n title = {Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native\n Neural Networks Out-of-Distribution Detection simply by Replacing\n the SoftMax Loss},\n journal = {CoRR},\n volume = {abs/1908.05569},\n year = {2019},\n url = {http://arxiv.org/abs/1908.05569},\n eprinttype = {arXiv},\n eprint = {1908.05569},\n timestamp = {Mon, 26 Aug 2019 01:00:00 +0200},\n biburl = {https://dblp.org/rec/journals/corr/abs-1908-05569.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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