Francesco Scala

According to our database, Francesco Scala authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An efficient model training framework for green AI.

Francesco Scala, Sergio Flesca, Luigi Pontieri

Mach. Learn., December, 2025

Trainability of Quantum Models Beyond Known Classical Simulability.

Sabri Meyer, Francesco Scala, Francesco Tacchino, Aurélien Lucchi

CoRR, July, 2025

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, May, 2025

Enhancing active learning through latent space exploration: A k-nearest neighbors approach.

Sergio Flesca, Domenico Mandaglio, Francesco Scala

Array, 2025

Benchmarking Active Learning Techniques: Insights from Multi-Domain Fake News Detection.

Sergio Flesca, Marco Gagliardi, Danilo Maurmo, Francesco Scala, Eugenio Vocaturo

Proceedings of the 33nd Symposium on Advanced Database Systems, 2025

From One to Many: Few-Shot Deep Ensembles for Slow DoS Attack Detection.

Alberto Falcone, Massimo Guarascio, Angelica Liguori, Francesco Sergio Pisani, Francesco Scala

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

AI for sustainability should be sustainable in its own: results from project FAIR-Spoke 9.

Luigi Pontieri, Pietro Sabatino, Francesco Scala

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection.

Francesco Scala, Massimo Guarascio, Carlo Parrotta, Luigi Pontieri

Proceedings of the Discovery Science - 28th International Conference, 2025

Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks.

Liliana Martirano, Francesco Scala, Carmela Comito, Luigi Pontieri

Proceedings of the Discovery Science - 28th International Conference, 2025

2024

A meta-active learning approach exploiting instance importance.

Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli

Expert Syst. Appl., 2024

Data Filtering for a Sustainable Model Training.

Francesco Scala, Sergio Flesca, Luigi Pontieri

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

DPET: A Data and Parameter Efficient Training Framework for Green AI (SHORT PAPER).

Francesco Scala, Luigi Pontieri, Sergio Flesca

Proceedings of the 1st AIxIA Workshop on Green-Aware Artificial Intelligence co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

Play it Straight: An Intelligent Data Pruning Technique for Green-AI.

Francesco Scala, Sergio Flesca, Luigi Pontieri

Proceedings of the Discovery Science - 27th International Conference, 2024

2023

A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation.

Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

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

Quantum variational learning for entanglement witnessing.

Francesco Scala, Stefano Mangini, Chiara Macchiavello, Daniele Bajoni, Dario Gerace

Proceedings of the International Joint Conference on Neural Networks, 2022

Learning to Active Learn by Gradient Variation based on Instance Importance.

Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli

Proceedings of the 26th International Conference on Pattern Recognition, 2022

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

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2019

Efficiently computing extensions' probabilities over probabilistic Bipolar Abstract Argumentation Frameworks.

Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Francesco Scala

Intelligenza Artificiale, 2019

2018

Computing Extensions' Probabilities over Probabilistic Bipolar Abstract Argumentation Frameworks.

Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Francesco Scala

Proceedings of the 2nd Workshop on Advances In Argumentation In Artificial Intelligence, 2018