Computing Extensions' Probabilities over Probabilistic Bipolar Abstract Argumentation Frameworks. - Bettina Fazzinga; Sergio Flesca; Filippo Furfaro; Francesco Scala (AI³@AI*IA, 2018)

Efficiently computing extensions' probabilities over probabilistic Bipolar Abstract Argumentation Frameworks. - Bettina Fazzinga; Sergio Flesca; Filippo Furfaro; Francesco Scala (Intelligenza Artificiale, 2019)

On the identification of PoIs in glucosimeter data. - Patrizia Vizza; Giuseppe Tradigo; Raffaele Giancotti; Francesco Scala; Pietro H. Guzzi; Concetta Irace; Sergio Flesca; Pierangelo Veltri (ICHI, 2022)

Learning to Active Learn by Gradient Variation based on Instance Importance. - Sergio Flesca; Domenico Mandaglio; Francesco Scala; Andrea Tagarelli (ICPR, 2022)

Quantum variational learning for entanglement witnessing. - Francesco Scala; Stefano Mangini; Chiara Macchiavello; Daniele Bajoni; Dario Gerace (IJCNN, 2022)

On forecasting non-renewable energy production with uncertainty quantification: A case study of the Italian energy market. - Sergio Flesca; Francesco Scala; Eugenio Vocaturo; Francesco Zumpano (Expert Syst. Appl., 2022)

A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation. - Sergio Flesca; Domenico Mandaglio; Francesco Scala; Andrea Tagarelli (SEBD, 2023)

Play it Straight: An Intelligent Data Pruning Technique for Green-AI. - Francesco Scala; Sergio Flesca; Luigi Pontieri (DS (1), 2024)

DPET: A Data and Parameter Efficient Training Framework for Green AI (SHORT PAPER). - Francesco Scala; Luigi Pontieri; Sergio Flesca (GreenAI@AI*IA, 2024)

Data Filtering for a Sustainable Model Training. - Francesco Scala; Sergio Flesca; Luigi Pontieri (SEBD, 2024)

A meta-active learning approach exploiting instance importance. - Sergio Flesca; Domenico Mandaglio; Francesco Scala; Andrea Tagarelli (Expert Syst. Appl., 2024)

Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams. - Bettina Fazzinga; Sergio Flesca; Filippo Furfaro; Luigi Pontieri; Francesco Scala (CoRR, 2025)

Trainability of Quantum Models Beyond Known Classical Simulability. - Sabri Meyer; Francesco Scala; Francesco Tacchino; Aurélien Lucchi (CoRR, 2025)