Francesco Scala

19 papers B 4Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
AI for sustainability should be sustainable in its own: results from project FAIR-Spoke 9.
Ital-IA
Luigi Pontieri, Pietro Sabatino, Francesco Scala
2025 J jnl
An efficient model training framework for green AI.
Mach. Learn.
Francesco Scala, Sergio Flesca, Luigi Pontieri
2025 — conf
Benchmarking Active Learning Techniques: Insights from Multi-Domain Fake News Detection.
SEBD
Sergio Flesca, Marco Gagliardi, Danilo Maurmo, Francesco Scala, Eugenio Vocaturo
2025 J jnl
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams.
CoRR
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Luigi Pontieri, Francesco Scala
2025 J jnl
Enhancing active learning through latent space exploration: A k-nearest neighbors approach.
Array
Sergio Flesca, Domenico Mandaglio, Francesco Scala
2025 B conf
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection.
DS
Francesco Scala, Massimo Guarascio, Carlo Parrotta, Luigi Pontieri
2025 J jnl
Trainability of Quantum Models Beyond Known Classical Simulability.
CoRR
Sabri Meyer, Francesco Scala, Francesco Tacchino, Aurélien Lucchi
2025 B conf
Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks.
DS
Liliana Martirano, Francesco Scala, Carmela Comito, Luigi Pontieri
2024 J jnl
A meta-active learning approach exploiting instance importance.
Expert Syst. Appl.
Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli
2024 — conf
DPET: A Data and Parameter Efficient Training Framework for Green AI (SHORT PAPER).
GreenAI@AI*IA
Francesco Scala, Luigi Pontieri, Sergio Flesca
2024 — conf
Data Filtering for a Sustainable Model Training.
SEBD
Francesco Scala, Sergio Flesca, Luigi Pontieri
2024 — conf
Play it Straight: An Intelligent Data Pruning Technique for Green-AI.
DS (1)
Francesco Scala, Sergio Flesca, Luigi Pontieri
2023 — conf
A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation.
SEBD
Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli
2022 B conf
Learning to Active Learn by Gradient Variation based on Instance Importance.
ICPR
Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli
2022 J jnl
On forecasting non-renewable energy production with uncertainty quantification: A case study of the Italian energy market.
Expert Syst. Appl.
Sergio Flesca, Francesco Scala, Eugenio Vocaturo, Francesco Zumpano
2022 — conf
On the identification of PoIs in glucosimeter data.
ICHI
Patrizia Vizza, Giuseppe Tradigo, Raffaele Giancotti, Francesco Scala, Pietro H. Guzzi, Concetta Irace, Sergio Flesca, Pierangelo Veltri
2022 B conf
Quantum variational learning for entanglement witnessing.
IJCNN
Francesco Scala, Stefano Mangini, Chiara Macchiavello, Daniele Bajoni, Dario Gerace
2019 J jnl
Efficiently computing extensions' probabilities over probabilistic Bipolar Abstract Argumentation Frameworks.
Intelligenza Artificiale
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Francesco Scala
2018 — conf
Computing Extensions' Probabilities over Probabilistic Bipolar Abstract Argumentation Frameworks.
AI³@AI*IA
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Francesco Scala