RITACCO, Ettore

RITACCO, Ettore  

DMIF - DIPARTIMENTO DI SCIENZE MATEMATICHE, INFORMATICHE E FISICHE  

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Risultati 1 - 20 di 66 (tempo di esecuzione: 0.042 secondi).
Titolo Data di pubblicazione Autore(i) File
A Block Coclustering Model for Pattern Discovering in Users' Preference Data 1-gen-2013 Barbieri, N.; Costa, G.; Manco, G.; Ritacco, E.
A deep learning approach for detecting security attacks on blockchain 1-gen-2020 Scicchitano, F.; Liguori, A.; Guarascio, M.; Ritacco, E.; Manco, G.
A deep learning approach for unsupervised failure detection in smart industry 1-gen-2021 Liguori, A.; Manco, G.; Ritacco, E.; Ruffolo, M.; Iiritano, S.
A factorization approach for survival analysis on diffusion networks 1-gen-2021 Manco, G.; Ritacco, E.; Barbieri, N.
A hierarchical rule-based framework for accurate classification in imprecise domains 1-gen-2009 Costa, G.; Guarascio, M.; Manco, G.; Ortale, R.; Ritacco, E.
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels 1-gen-2022 Barbara, V.; Buelli, D.; Guarascio, M.; Ierace, S.; Iiritano, S.; Laboccetta, G.; Leone, N.; Manco, G.; Pesenti, V.; Quarta, A.; Ricca, F.; Ritacco, E.
A new architectural paradigm for content-based web applications: Borè 1-gen-2011 Bevacqua, A.; Carnuccio, M.; Ortale, R.; Ritacco, E.
A probabilistic hierarchical approach for pattern discovery in collaborative filtering data 1-gen-2011 Barbieri, N.; Manco, G.; Ritacco, E.
A probabilistic hierarchical approach for pattern discovery in collaborative filtering data (Extended Abstract) 1-gen-2011 Barbieri, N.; Manco, G.; Ritacco, E.
A semantic-based framework for supporting interaction and cooperation in content-based web3.0 applications 1-gen-2013 Bevacqua, A.; Carnuccio, M.; Cuzzocrea, A.; Ortale, R.; Ritacco, E.
A transactional approach to associative XML Classification by Content and Structure 1-gen-2011 Costa, G.; Ortale, R.; Ritacco, E.
Adversarial Regularized Reconstruction for Anomaly Detection and Generation 1-gen-2021 Liguori, A.; Manco, G.; Pisani, F. S.; Ritacco, E.
Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences 1-gen-2025 Coppolillo, E.; Mungari, S.; Ritacco, E.; Fabbri, F.; Minici, M.; Bonchi, F.; Manco, G.
An empirical comparison of collaborative filtering approaches on netflix data 1-gen-2010 Barbieri, N.; Guarascio, M.; Ritacco, E.
An optimizer derived from Halpern’s method for enhanced neural network convergence and reduced carbon emissions 1-gen-2025 Colao, V.; Foglia, K. R.; Giordano, A.; Ritacco, E.; Spataro, W.
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis 1-gen-2023 Lo Scudo, F.; Ritacco, E.; Caroprese, L.; Manco, G.
Automated Membership Inference via Prompt-Based Attacks in Generative Models 1-gen-2026 Gallo, Daniela; Liguori, Angelica; Ritacco, Ettore; Caviglione, Luca; Durante, Fabrizio; Manco, Giuseppe
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation 1-gen-2024 Coppolillo, E.; Minici, M.; Ritacco, E.; Caroprese, L.; Pisani, F.; Manco, G.
Balancing prediction and recommendation accuracy: Hierarchical latent factors for preference data 1-gen-2012 Barbieri, N.; Manco, G.; Ortale, R.; Ritacco, E.
Characterizing relationships through co-clustering: A probabilistic approach 1-gen-2011 Barbieri, N.; Costa, G.; Manco, G.; Ritacco, E.