Luca Ferragina

14 papers B 2C 2Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — ed.
Proceedings of the 2nd Workshop on Green-Aware Artificial Intelligence (Green-Aware AI@ECAI 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, 25-30 October 2025.
Green-Aware AI@ECAI
Riccardo Cantini, Luca Ferragina, Davide Mario Longo, Anastasija Nikiforova, Simona Nisticò, Reza Shahbazian, Dipanwita Thakur, Irina Trubitsyna, Giovanna Varricchio
2026 J jnl
Reconstruction error-based anomaly detection with few outlying examples.
Neurocomputing
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
2025 J jnl
Explaining anomalies through semi-supervised Autoencoders.
Array
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Simona Nisticò
2024 — conf
A Clustering-based Approach for Interpreting Black-box Models.
SEBD
Luca Ferragina, Simona Nisticò
2024 — conf
A Lightweight Meta-Feature Extraction Strategy for Deep Reinforcement Anomaly Detection (SHORT PAPER).
GreenAI@AI*IA
Simone Amirato, Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
2024 J jnl
Enhancing anomaly detectors with LatentOut.
J. Intell. Inf. Syst.
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
2024 — conf
Indecision-Aware Deep Active Anomaly Detection.
IDEAL (2)
Simone Amirato, Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
2024 — conf
On the Environmental Impact of the Algorithm LatentOut for Unsupervised Anomaly Detection (SHORT PAPER).
GreenAI@AI*IA
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
2023 J jnl
${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution.
Mach. Learn.
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
2023 J jnl
Reconstruction Error-based Anomaly Detection with Few Outlying Examples.
CoRR
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
2022 B conf
Cooperative Deep Unsupervised Anomaly Detection.
DS
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Rosaria Spada
2022 C conf
Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings.
ISMIS
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
2021 C conf
Meta-feature Extraction Strategies for Active Anomaly Detection.
IDEAL
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Prospero Papaleo
2020 B conf
Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution.
DS
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina