1
A Comprehensive Evaluation of Embedding Models and LLMs for IR and QA Across English and Italian
Oro, Ermelinda; Maria Granata, Francesco; Ruffolo, Massimo
BIG DATA AND COGNITIVE COMPUTING
 Articolo in rivista 2025
2
An efficient model training framework for green AI
Scala, F.; Flesca, S.; Pontieri, L.
MACHINE LEARNING
 Articolo in rivista 2025
3
Applying Multi-Objective Differential Evolution for IoT Application Design in the Edge-Cloud Continuum
Folino, Gianluigi; Gentile, Antonio Francesco; Varchera, Rosa; Vinci, Andrea
 Contributo in Atti di convegno 2025
4
Discovering ensembles of small language models out of scarcely labelled data for fake news detection
Folino, G.; Guarascio, M.; Pontieri, L.; Zicari, P.
APPLIED SOFT COMPUTING
 Articolo in rivista 2025
5
DPET: A Data and Parameter Efficient Training Framework for Green AI
Scala, F.; Pontieri, L.; Flesca, S.
 Contributo in Atti di convegno 2025
6
Enhancing active learning through latent space exploration: A k-nearest neighbors approach
Flesca, S.; Mandaglio, D.; Scala, F.
ARRAY
 Articolo in rivista 2025
7
Explainable Process Deviance Discovery with Data-Efficient Deep Learning
Folino, F.; Folino, G.; Guarascio, M.; Pontieri, L.
 Contributo in Atti di convegno 2025
8
From One to Many: Few-Shot Deep Ensembles for Slow DoS Attack Detection
Falcone, Alberto; Guarascio, Massimo; Liguori, Angelica; Pisani, Francesco Sergio; Scala, Francesco
 Contributo in Atti di convegno 2025
9
Generating multiperspective process traces using conditional variational autoencoders
Graziosi, Riccardo; Ronzani, Massimiliano; Buliga, Andrei; Di Francescomarino, Chiara; Folino, Francesco; Ghidini, Chiara; Meneghello, Francesca; Pontieri, Luigi
PROCESS SCIENCE
 Articolo in rivista 2025
10
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection
Scala, F.; Guarascio, M.; Parrotta, C.; Pontieri, L.
 Contributo in Atti di convegno 2025