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2020 – today
- 2024
[j3]Sergio Flesca
, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli:
A meta-active learning approach exploiting instance importance. Expert Syst. Appl. 247: 123320 (2024)- [c6]Francesco Scala, Sergio Flesca, Luigi Pontieri:
Data Filtering for a Sustainable Model Training. SEBD 2024: 205-216 - 2023
- [c5]Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli:
A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation. SEBD 2023: 535-544 - 2022
- [j2]Sergio Flesca, Francesco Scala, Eugenio Vocaturo, Francesco Zumpano:
On forecasting non-renewable energy production with uncertainty quantification: A case study of the Italian energy market. Expert Syst. Appl. 200: 116936 (2022) - [c4]Patrizia Vizza, Giuseppe Tradigo, Raffaele Giancotti, Francesco Scala, Pietro H. Guzzi, Concetta Irace, Sergio Flesca, Pierangelo Veltri:
On the identification of PoIs in glucosimeter data. ICHI 2022: 542-544 - [c3]Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli:
Learning to Active Learn by Gradient Variation based on Instance Importance. ICPR 2022: 2224-2230 - [c2]Francesco Scala, Stefano Mangini, Chiara Macchiavello, Daniele Bajoni, Dario Gerace:
Quantum variational learning for entanglement witnessing. IJCNN 2022: 1-8
2010 – 2019
- 2019
- [j1]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Francesco Scala:
Efficiently computing extensions' probabilities over probabilistic Bipolar Abstract Argumentation Frameworks. Intelligenza Artificiale 13(2): 189-200 (2019) - 2018
- [c1]Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Francesco Scala:
Computing Extensions' Probabilities over Probabilistic Bipolar Abstract Argumentation Frameworks. AI³@AI*IA 2018: 57-70
Coauthor Index
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