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\n  \n 2025\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n An efficient model training framework for green AI.\n \n \n \n\n\n \n Scala, F.; Flesca, S.; and Pontieri, L.\n\n\n \n\n\n\n Machine Learning, 114(2): 275. 2025.\n \n\n\n\n
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@article{scala2025efficient,\n  author    = {Scala, Francesco and Flesca, Sergio and Pontieri, Luigi},\n  title     = {An efficient model training framework for green AI},\n  journal   = {Machine Learning},\n  volume    = {114},\n  number    = {2},\n  pages     = {275},\n  year      = {2025},\n  doi       = {10.1007/s10994-024-06611-3}\n}\n\n
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\n \n\n \n \n \n \n \n Enhancing active learning through latent space exploration: A k-nearest neighbors approach.\n \n \n \n\n\n \n Flesca, S.; Mandaglio, D.; and Scala, F.\n\n\n \n\n\n\n Array, 28: 100584. 2025.\n \n\n\n\n
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@article{flesca2025enhancing,\n  author    = {Flesca, Sergio and Mandaglio, Domenico and Scala, Francesco},\n  title     = {Enhancing active learning through latent space exploration: A k-nearest neighbors approach},\n  journal   = {Array},\n  volume    = {28},\n  pages     = {100584},\n  year      = {2025},\n  doi       = {10.1016/j.array.2024.100584}\n}\n\n%%% --- Atti di Convegno (Conference Proceedings) ---\n\n
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\n \n\n \n \n \n \n \n AI for sustainability should be sustainable in its own: results from project FAIR-Spoke 9.\n \n \n \n\n\n \n Pontieri, L.; Sabatino, P.; and Scala, F.\n\n\n \n\n\n\n In Proceedings of the 5th National Conference on Artificial Intelligence (Ital-IA), Trieste, Italy, 2025. \n \n\n\n\n
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@inproceedings{pontieri2025ai,\n  author    = {Pontieri, Luigi and Sabatino, Pietro and Scala, Francesco},\n  title     = {AI for sustainability should be sustainable in its own: results from project FAIR-Spoke 9},\n  booktitle = {Proceedings of the 5th National Conference on Artificial Intelligence (Ital-IA)},\n  year      = {2025},\n  address   = {Trieste, Italy}\n}\n\n
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\n \n\n \n \n \n \n \n Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks.\n \n \n \n\n\n \n Martirano, L.; Scala, F.; Comito, C.; and Pontieri, L.\n\n\n \n\n\n\n In Proceedings of the 28th International Conference on Discovery Science (DS 2025), Ljubljana, Slovenia, 2025. Springer\n \n\n\n\n
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@inproceedings{martirano2025who,\n  author    = {Martirano, Liliana and Scala, Francesco and Comito, Carmela and Pontieri, Luigi},\n  title     = {Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks},\n  booktitle = {Proceedings of the 28th International Conference on Discovery Science (DS 2025)},\n  year      = {2025},\n  address   = {Ljubljana, Slovenia},\n  publisher = {Springer}\n}\n\n
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\n \n\n \n \n \n \n \n Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DDoS Attack Detection.\n \n \n \n\n\n \n Scala, F.; Guarascio, M.; Parrotta, C.; and Pontieri, L.\n\n\n \n\n\n\n In Proceedings of the 28th International Conference on Discovery Science (DS 2025), Ljubljana, Slovenia, 2025. Springer\n \n\n\n\n
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@inproceedings{scala2025learning,\n  author    = {Scala, Francesco and Guarascio, Massimo and Parrotta, Carlo and Pontieri, Luigi},\n  title     = {Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DDoS Attack Detection},\n  booktitle = {Proceedings of the 28th International Conference on Discovery Science (DS 2025)},\n  year      = {2025},\n  address   = {Ljubljana, Slovenia},\n  publisher = {Springer}\n}\n\n
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\n \n\n \n \n \n \n \n iTempDT: AI-Powered Digital Twin for Forecasting Indoor Temperature in Smart Buildings.\n \n \n \n\n\n \n Islam, M. B.; Guerrieri, A.; Gravina, R.; Pontieri, L.; Rizzo, L.; Scala, F.; Vinci, A.; and Fortino, G.\n\n\n \n\n\n\n In Proceedings of the 2025 IEEE Conference on Pervasive and Intelligent Computing (PICom), Hakodate, Japan, 2025. \n \n\n\n\n
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@inproceedings{islam2025itempdt,\n  author    = {Islam, Md Babul and Guerrieri, Antonio and Gravina, Raffaele and Pontieri, Luigi and Rizzo, Luigi and Scala, Francesco and Vinci, Andrea and Fortino, Giancarlo},\n  title     = {iTempDT: AI-Powered Digital Twin for Forecasting Indoor Temperature in Smart Buildings},\n  booktitle = {Proceedings of the 2025 IEEE Conference on Pervasive and Intelligent Computing (PICom)},\n  year      = {2025},\n  address   = {Hakodate, Japan}\n}
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\n \n\n \n \n \n \n \n A meta-active learning approach exploiting instance importance.\n \n \n \n\n\n \n Flesca, S.; Mandaglio, D.; Scala, F.; and Tagarelli, A.\n\n\n \n\n\n\n Expert Systems with Applications, 247: 123320. 2024.\n \n\n\n\n
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@article{flesca2024meta,\n  author    = {Flesca, Sergio and Mandaglio, Domenico and Scala, Francesco and Tagarelli, Andrea},\n  title     = {A meta-active learning approach exploiting instance importance},\n  journal   = {Expert Systems with Applications},\n  volume    = {247},\n  pages     = {123320},\n  year      = {2024},\n  doi       = {10.1016/j.eswa.2024.123320}\n}\n\n
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\n \n\n \n \n \n \n \n Data Filtering for a Sustainable Model Training.\n \n \n \n\n\n \n Scala, F.; Flesca, S.; and Pontieri, L.\n\n\n \n\n\n\n In Proceedings of the 32nd Symposium on Advanced Database Systems (SEBD), Villasimius, Italy, 2024. \n \n\n\n\n
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@inproceedings{scala2024data,\n  author    = {Scala, Francesco and Flesca, Sergio and Pontieri, Luigi},\n  title     = {Data Filtering for a Sustainable Model Training},\n  booktitle = {Proceedings of the 32nd Symposium on Advanced Database Systems (SEBD)},\n  year      = {2024},\n  address   = {Villasimius, Italy}\n}\n\n
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\n \n\n \n \n \n \n \n Play it Straight: An intelligent Data Pruning technique for Green-AI.\n \n \n \n\n\n \n Scala, F.; Flesca, S.; and Pontieri, L.\n\n\n \n\n\n\n In Proceedings of the 27th International Conference on Discovery Science (DS 2024), Pisa, Italy, 2024. Springer\n \n\n\n\n
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@inproceedings{scala2024play,\n  author    = {Scala, Francesco and Flesca, Sergio and Pontieri, Luigi},\n  title     = {Play it Straight: An intelligent Data Pruning technique for Green-AI},\n  booktitle = {Proceedings of the 27th International Conference on Discovery Science (DS 2024)},\n  year      = {2024},\n  address   = {Pisa, Italy},\n  publisher = {Springer}\n}\n\n
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\n \n\n \n \n \n \n \n DPET: A Data and Parameter Efficient Training Framework for Green AI.\n \n \n \n\n\n \n Scala, F.; Pontieri, L.; and Flesca, S.\n\n\n \n\n\n\n In Proceedings of the 1st Workshop on Green-Aware Artificial Intelligence (Green-Aware AI 2024), Bolzano, Italy, 2024. \n \n\n\n\n
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@inproceedings{scala2024dpet,\n  author    = {Scala, Francesco and Pontieri, Luigi and Flesca, Sergio},\n  title     = {DPET: A Data and Parameter Efficient Training Framework for Green AI},\n  booktitle = {Proceedings of the 1st Workshop on Green-Aware Artificial Intelligence (Green-Aware AI 2024)},\n  year      = {2024},\n  address   = {Bolzano, Italy}\n}\n\n
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\n \n\n \n \n \n \n \n Benchmarking Active Learning Techniques: Insights from Multi-Domain Fake News Detection.\n \n \n \n\n\n \n Flesca, S.; Gagliardi, M.; Maurmo, D.; Scala, F.; and Vocaturo, E.\n\n\n \n\n\n\n In Proceedings of the 33rd Symposium on Advanced Database Systems (SEBD), Ischia, Italy, 2024. \n \n\n\n\n
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@inproceedings{flesca2024benchmarking,\n  author    = {Flesca, Sergio and Gagliardi, Marco and Maurmo, Danilo and Scala, Francesco and Vocaturo, Eugenio},\n  title     = {Benchmarking Active Learning Techniques: Insights from Multi-Domain Fake News Detection},\n  booktitle = {Proceedings of the 33rd Symposium on Advanced Database Systems (SEBD)},\n  year      = {2024},\n  address   = {Ischia, Italy}\n}\n\n
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\n \n\n \n \n \n \n \n A Meta-Active Learning approach exploiting Instance Importance based on Learning Gradient Variation.\n \n \n \n\n\n \n Flesca, S.; Mandaglio, D.; Scala, F.; and Tagarelli, A.\n\n\n \n\n\n\n In Proceedings of the 31st Symposium on Advanced Database Systems (SEBD), pages 402–409, Galzignano Terme, Italy, 2023. \n \n\n\n\n
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@inproceedings{flesca2023meta,\n  author    = {Flesca, Sergio and Mandaglio, Domenico and Scala, Francesco and Tagarelli, Andrea},\n  title     = {A Meta-Active Learning approach exploiting Instance Importance based on Learning Gradient Variation},\n  booktitle = {Proceedings of the 31st Symposium on Advanced Database Systems (SEBD)},\n  year      = {2023},\n  pages     = {402--409},\n  address   = {Galzignano Terme, Italy}\n}\n\n
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\n \n\n \n \n \n \n \n Validating biomedical and clinical data via an annotations based framework: experiences within the PON VQA project.\n \n \n \n\n\n \n Puccio, B.; Lomoio, U.; Giancotti, R.; Cannistrà, M.; Flesca, S.; Scala, F.; Tradigo, G.; Guzzi, P. H.; Veltri, P.; and Vizza, P.\n\n\n \n\n\n\n In Proceedings of the 8th National Congress of Bioengineering (GNB), Padova, Italy, 2023. \n \n\n\n\n
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@inproceedings{puccio2023validating,\n  author    = {Puccio, B. and Lomoio, U. and Giancotti, R. and Cannistrà, M. and Flesca, S. and Scala, F. and Tradigo, G. and Guzzi, P. H. and Veltri, P. and Vizza, P.},\n  title     = {Validating biomedical and clinical data via an annotations based framework: experiences within the PON VQA project},\n  booktitle = {Proceedings of the 8th National Congress of Bioengineering (GNB)},\n  year      = {2023},\n  address   = {Padova, Italy}\n}\n\n
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\n \n\n \n \n \n \n \n On forecasting non-renewable energy production with uncertainty quantification: A case study of the Italian energy market.\n \n \n \n\n\n \n Flesca, S.; Scala, F.; Vocaturo, E.; and Zumpano, F.\n\n\n \n\n\n\n Expert Systems with Applications, 200: 116936. 2022.\n \n\n\n\n
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@article{flesca2022forecasting,\n  author    = {Flesca, Sergio and Scala, Francesco and Vocaturo, Eugenio and Zumpano, Francesco},\n  title     = {On forecasting non-renewable energy production with uncertainty quantification: A case study of the Italian energy market},\n  journal   = {Expert Systems with Applications},\n  volume    = {200},\n  pages     = {116936},\n  year      = {2022},\n  doi       = {10.1016/j.eswa.2022.116936}\n}\n\n
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\n \n\n \n \n \n \n \n Learning to Active Learn by Gradient Variation based on Instance Importance.\n \n \n \n\n\n \n Flesca, S.; Mandaglio, D.; Scala, F.; and Tagarelli, A.\n\n\n \n\n\n\n In Proceedings of the 26th International Conference on Pattern Recognition (ICPR), pages 3026–3032, Montréal, QC, Canada, 2022. \n \n\n\n\n
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@inproceedings{flesca2022learning,\n  author    = {Flesca, Sergio and Mandaglio, Domenico and Scala, Francesco and Tagarelli, Andrea},\n  title     = {Learning to Active Learn by Gradient Variation based on Instance Importance},\n  booktitle = {Proceedings of the 26th International Conference on Pattern Recognition (ICPR)},\n  year      = {2022},\n  pages     = {3026--3032},\n  doi       = {10.1109/ICPR56361.2022.9956108},\n  address   = {Montréal, QC, Canada}\n}\n\n
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\n \n\n \n \n \n \n \n On the identification of PoIs in glucosimeter data.\n \n \n \n\n\n \n Vizza, P.; Tradigo, G.; Giancotti, R.; Scala, F.; Guzzi, P. H.; Irace, C.; Flesca, S.; and Veltri, P.\n\n\n \n\n\n\n In Proceedings of the 10th IEEE International Conference on Healthcare Informatics (ICHI), pages 542–544, 2022. \n \n\n\n\n
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@inproceedings{vizza2022identification,\n  author    = {Vizza, Patrizia and Tradigo, Giuseppe and Giancotti, Raffaele and Scala, Francesco and Guzzi, Pietro H. and Irace, Concetta and Flesca, Sergio and Veltri, Pierangelo},\n  title     = {On the identification of PoIs in glucosimeter data},\n  booktitle = {Proceedings of the 10th IEEE International Conference on Healthcare Informatics (ICHI)},\n  pages     = {542--544},\n  year      = {2022},\n  doi       = {10.1109/ICHI54592.2022.00096}\n}\n\n
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\n \n\n \n \n \n \n \n Efficiently computing extensions' probabilities over probabilistic Bipolar Abstract Argumentation Frameworks.\n \n \n \n\n\n \n Fazzinga, B.; Flesca, S.; Furfaro, F.; and Scala, F.\n\n\n \n\n\n\n Intelligenza Artificiale, 13(2): 189–200. 2019.\n \n\n\n\n
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@article{fazzinga2019efficiently,\n  author    = {Fazzinga, Bettina and Flesca, Sergio and Furfaro, Filippo and Scala, Francesco},\n  title     = {Efficiently computing extensions' probabilities over probabilistic Bipolar Abstract Argumentation Frameworks},\n  journal   = {Intelligenza Artificiale},\n  volume    = {13},\n  number    = {2},\n  pages     = {189--200},\n  year      = {2019},\n  doi       = {10.3233/IA-190028}\n}\n\n
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\n \n\n \n \n \n \n \n \n Computing extensions’ probabilities over probabilistic Bipolar Abstract Argumentation Frameworks.\n \n \n \n \n\n\n \n Fazzinga, B.; Flesca, S.; Furfaro, F.; and Scala, F.\n\n\n \n\n\n\n In Proceedings of the 26th Symposium on Advanced Database Systems (SEBD 2018), volume 2296, of CEUR Workshop Proceedings, 2018. \n \n\n\n\n
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@inproceedings{fazzinga2018computing,\n  author    = {Fazzinga, Bettina and Flesca, Sergio and Furfaro, Filippo and Scala, Francesco},\n  title     = {Computing extensions’ probabilities over probabilistic Bipolar Abstract Argumentation Frameworks},\n  booktitle = {Proceedings of the 26th Symposium on Advanced Database Systems (SEBD 2018)},\n  series    = {CEUR Workshop Proceedings},\n  volume    = {2296},\n  year      = {2018},\n  url       = {https://ceur-ws.org/Vol-2296/paper19.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n A fast and scalable content transfer protocol (FSCTP) for VANET based architecture.\n \n \n \n\n\n \n Scala, F.; Santamaria, A. F.; Sottile, C.; Tropea, M.; and Raimondo, P.\n\n\n \n\n\n\n In Unmanned Systems Technology XVIII, volume 9837, pages 98370N, 2016. SPIE\n \n\n\n\n
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@inproceedings{scala2016fast,\n  author    = {Scala, Francesco and Santamaria, Amilcare Francesco and Sottile, Cesare and Tropea, Mauro and Raimondo, Pierfrancesco},\n  title     = {A fast and scalable content transfer protocol (FSCTP) for VANET based architecture},\n  booktitle = {Unmanned Systems Technology XVIII},\n  volume    = {9837},\n  pages     = {98370N},\n  year      = {2016},\n  organization = {SPIE},\n  doi       = {10.1117/12.2223405}\n}\n\n
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