Ettore Ritacco

72 papers A* 1A 3B 2C 8Journal 21Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
An optimizer derived from Halpern's method for enhanced neural network convergence and reduced carbon emissions.
J. Intell. Inf. Syst.
Vittorio Colao, Katherine Rossella Foglia, Andrea Giordano, Ettore Ritacco, William Spataro
2025 J jnl
Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences.
Inf. Process. Manag.
Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco
2025 J jnl
Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection.
CoRR
Simone Mungari, Ettore Ritacco, Pietro Sabatino
2025 — conf
Deep Learning for Fine-Grained Classification of Montelupo Majolica: Benchmarking and Explainability.
MLSP
Federica Mauro, Franco Cicirelli, Gabriele Gattiglia, Ettore Ritacco
2025 — conf
Flexible Generation of Preference Data for Recommendation Analysis.
KDD (2)
Simone Mungari, Erica Coppolillo, Ettore Ritacco, Giuseppe Manco
2025 — conf
Large language models in the software supply chain: challenges and opportunities.
Ital-IA
Giacomo Benedetti, Luca Caviglione, Carmela Comito, Daniela Gallo, Alberto Falcone, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo
2025 J jnl
Spectral Neural Graph Sparsification.
CoRR
Angelica Liguori, Ettore Ritacco, Pietro Sabatino, Annalisa Socievole
2024 J jnl
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences.
CoRR
Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco
2024 J jnl
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation.
ACM Trans. Intell. Syst. Technol.
Erica Coppolillo, Marco Minici, Ettore Ritacco, Luciano Caroprese, Francesco Sergio Pisani, Giuseppe Manco
2024 J jnl
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation.
CoRR
Daniela Gallo, Angelica Liguori, Ettore Ritacco, Luca Caviglione, Fabrizio Durante, Giuseppe Manco
2024 — conf
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity.
Ital-IA
Luca Caviglione, Carmela Comito, Erica Coppolillo, Daniela Gallo, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Minici, Simone Mungari, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo, Paolo Zicari, Marco Zuppelli
2024 J jnl
GenRec: A Flexible Data Generator for Recommendations.
CoRR
Erica Coppolillo, Simone Mungari, Ettore Ritacco, Giuseppe Manco
2024 C conf
HalpernSGD: A Halpern-Inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint.
ISMIS
Katherine Rossella Foglia, Vittorio Colao, Ettore Ritacco
2024 J jnl
Robust anomaly detection via adversarial counterfactual generation.
Knowl. Inf. Syst.
Angelica Liguori, Ettore Ritacco, Francesco Sergio Pisani, Giuseppe Manco
2024 C conf
Siamese Networks for Unsupervised Failure Detection in Smart Industry.
ISMIS
Angelica Liguori, Ettore Ritacco, Giuseppe Benvenuto, Salvatore Iiritano, Giuseppe Manco, Massimiliano Ruffolo
2023 J jnl
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis.
J. Intell. Inf. Syst.
Fabrizio Lo Scudo, Ettore Ritacco, Luciano Caroprese, Giuseppe Manco
2023 — conf
Deep Learning/PUF-based Item Identification for Supply Chain Management in a Distributed Ledger Framework.
BCCA
Carmelo Felicetti, Antonella Guzzo, Giuseppe Manco, Francesco Pasqua, Ettore Ritacco, Antonino Rullo, Domenico Saccà
2023 — conf
Fighting Misinformation, Radicalization and Bias in Social Media.
Ital-IA
Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 J jnl
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels.
CoRR
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
2023 J jnl
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels.
Theory Pract. Log. Program.
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
2023 — conf
Neuro-Symbolic techniques for Predictive Maintenance.
SEBD
Angelica Liguori, Simone Mungari, Ettore Ritacco, Francesco Ricca, Giuseppe Manco, Salvatore Iiritano
2023 — conf
Siamese Network for Fake Item Detection.
SEBD
Erica Coppolillo, Daniela Gallo, Angelica Liguori, Simone Mungari, Ettore Ritacco, Giuseppe Manco
2022 — conf
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels.
CILC
Vito Barbara, Dimitri Buelli, Massimo Guarascio, Stefano Ierace, Salvatore Iiritano, Giovanni Laboccetta, Nicola Leone, Giuseppe Manco, Valerio Pesenti, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
2022 — conf
Generating Synthetic Discrete Datasets with Machine Learning.
SEBD
Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
2022 J jnl
Machine learning methods for generating high dimensional discrete datasets.
WIREs Data Mining Knowl. Discov.
Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
2021 — conf
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper).
SEBD
Angelica Liguori, Giuseppe Manco, Ettore Ritacco, Massimilano Ruffolo, Salvatore Iiritano
2021 J jnl
A Factorization Approach for Survival Analysis on Diffusion Networks.
IEEE Trans. Knowl. Data Eng.
Giuseppe Manco, Ettore Ritacco, Nicola Barbieri
2021 A* conf
Adversarial Regularized Reconstruction for Anomaly Detection and Generation.
ICDM
Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco
2021 — conf
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper).
SEBD
Luciano Caroprese, Giuseppe Manco, Marco Minici, Francesco Sergio Pisani, Ettore Ritacco
2020 — conf
A Deep Learning Approach for Detecting Security Attacks on Blockchain.
ITASEC
Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco
2020 C conf
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain.
ISMIS
Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco
2020 — conf
Exploiting Temporal Convolution for Activity Prediction in Process Analytics.
PKDD/ECML Workshops
Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco
2020 J jnl
Using an autoencoder in the design of an anomaly detector for smart manufacturing.
Pattern Recognit. Lett.
Antonio L. Alfeo, Mario G. C. A. Cimino, Giuseppe Manco, Ettore Ritacco, Gigliola Vaglini
2019 — ch.
Deep Learning.
Encyclopedia of Bioinformatics and Computational Biology (1)
Massimo Guarascio, Giuseppe Manco, Ettore Ritacco
2019 — conf
Deep Sequential Modeling for Recommendation.
SEBD
Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio
2019 — ch.
Knowledge Discovery in Databases.
Encyclopedia of Bioinformatics and Computational Biology (1)
Massimo Guarascio, Giuseppe Manco, Ettore Ritacco
2019 — ch.
Network Models.
Encyclopedia of Bioinformatics and Computational Biology (1)
Massimo Guarascio, Giuseppe Manco, Ettore Ritacco
2019 — ch.
Network Topology.
Encyclopedia of Bioinformatics and Computational Biology (1)
Giuseppe Manco, Ettore Ritacco, Massimo Guarascio
2019 A conf
Sequential Variational Autoencoders for Collaborative Filtering.
WSDM
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
2018 C conf
Predicting Temporal Activation Patterns via Recurrent Neural Networks.
ISMIS
Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco
2018 J jnl
Sequential Variational Autoencoders for Collaborative Filtering.
CoRR
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
2018 — conf
Temporal Recurrent Activation Networks.
SEBD
Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco
2017 J jnl
Fault detection and explanation through big data analysis on sensor streams.
Expert Syst. Appl.
Giuseppe Manco, Ettore Ritacco, Pasquale Rullo, Lorenzo Gallucci, Will Astill, Dianne Kimber, Marco Antonelli
2017 — conf
Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform.
NFMCP@PKDD/ECML
Massimo Guarascio, Ettore Ritacco, Daniele Biondo, Rocco Mammoliti, Alessandra Toma
2017 — conf
Survival Factorization on Diffusion Networks.
ECML/PKDD (1)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2016 — conf
Profiling Human Behavior Through Multidimensional Latent Factor Modeling.
NFMCP@PKDD/ECML
Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco, Pietro Sabatino
2014 — book
Probabilistic Approaches to Recommendations
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2013 — conf
A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications.
SEBD
Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea, Riccardo Ortale, Ettore Ritacco
2013 J jnl
Hierarchical clustering of XML documents focused on structural components.
Data Knowl. Eng.
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2013 J jnl
Probabilistic topic models for sequence data.
Mach. Learn.
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco, Marco Carnuccio, Antonio Bevacqua
2013 J jnl
X-Class: Associative Classification of XML Documents by Structure.
ACM Trans. Inf. Syst.
Gianni Costa, Riccardo Ortale, Ettore Ritacco
2012 A conf
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data.
SDM
Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2012 C conf
Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications.
APWeb
Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea, Riccardo Ortale, Ettore Ritacco
2012 — conf
Hierarchical Latent Factors for Preference Data.
SEBD
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2012 — conf
Probabilistic Sequence Modeling for Recommender Systems.
KDIR
Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco
2011 C conf
A Block Coclustering Model for Pattern Discovering in Users' Preference Data.
IC3K
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
2011 — conf
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract).
SEBD
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2011 A conf
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data.
SDM
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
2011 — conf
A Transactional Approach to Associative XML Classification by Content and Structure.
KDIR
Gianni Costa, Riccardo Ortale, Ettore Ritacco
2011 C conf
A new architectural paradigm for content-based web applications: Borè.
IDEAS
Antonio Bevacqua, Marco Carnuccio, Riccardo Ortale, Ettore Ritacco
2011 — conf
Characterizing Relationships through Co-clustering - A Probabilistic Approach.
KDIR
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
2011 B conf
Effective XML Classification Using Content and Structural Information via Rule Learning.
ICTAI
Gianni Costa, Riccardo Ortale, Ettore Ritacco
2011 J jnl
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments.
Knowl. Inf. Syst.
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2011 C conf
Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content.
IC3K
Gianni Costa, Riccardo Ortale, Ettore Ritacco
2010 — conf
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data.
IIR
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
2010 — conf
Fast and Effective Hierarchical Clustering of XML Documents by Structure.
SEBD
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2009 — conf
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains.
SEBD
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2009 B conf
Rule Learning with Probabilistic Smoothing.
DaWaK
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
2008 — conf
DAEDALUS: A knowledge discovery analysis framework for movement data.
SEBD
Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis
2008 — conf
The DAEDALUS framework: progressive querying and mining of movement data.
GIS
Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis