Ettore Ritacco

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 30

Top Topics

Collaborative Filtering

Failure Detection

Top Venues

NFMCP@PKDD/ECML

Publications

Erica Coppolillo, Simone Mungari, Ettore Ritacco, Giuseppe Manco
GenRec: A Flexible Data Generator for Recommendations. CoRR (2024)
Katherine Rossella Foglia, Vittorio Colao, Ettore Ritacco
HalpernSGD: A Halpern-Inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint. ISMIS (2024)
Angelica Liguori, Ettore Ritacco, Giuseppe Benvenuto, Salvatore Iiritano, Giuseppe Manco, Massimiliano Ruffolo
Siamese Networks for Unsupervised Failure Detection in Smart Industry. ISMIS (2024)
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. Theory Pract. Log. Program. 23 (4) (2023)
Carmelo Felicetti, Antonella Guzzo, Giuseppe Manco, Francesco Pasqua, Ettore Ritacco, Antonino Rullo, Domenico Saccà
Deep Learning/PUF-based Item Identification for Supply Chain Management in a Distributed Ledger Framework. BCCA (2023)
Fabrizio Lo Scudo, Ettore Ritacco, Luciano Caroprese, Giuseppe Manco
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis. J. Intell. Inf. Syst. 61 (3) (2023)
Erica Coppolillo, Daniela Gallo, Angelica Liguori, Simone Mungari, Ettore Ritacco, Giuseppe Manco
Siamese Network for Fake Item Detection. SEBD (2023)
Erica Coppolillo, Carmela Comito, Marco Minici, Ettore Ritacco, Gianluigi Folino, Francesco Sergio Pisani, Massimo Guarascio, Giuseppe Manco
Fighting Misinformation, Radicalization and Bias in Social Media. Ital-IA (2023)
Angelica Liguori, Simone Mungari, Ettore Ritacco, Francesco Ricca, Giuseppe Manco, Salvatore Iiritano
Neuro-Symbolic techniques for Predictive Maintenance. SEBD (2023)
Vito Barbara, Massimo Guarascio, Nicola Leone, Giuseppe Manco, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels. CoRR (2023)
Vito Barbara, Dimitri Buelli, Massimo Guarascio, Stefano Ierace, Salvatore Iiritano, Giovanni Laboccetta, Nicola Leone, Giuseppe Manco, Valerio Pesenti, Alessandro Quarta, Francesco Ricca, Ettore Ritacco
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels. CILC (2022)
Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
Machine learning methods for generating high dimensional discrete datasets. WIREs Data Mining Knowl. Discov. 12 (2) (2022)
Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
Generating Synthetic Discrete Datasets with Machine Learning. SEBD (2022)
Luciano Caroprese, Giuseppe Manco, Marco Minici, Francesco Sergio Pisani, Ettore Ritacco
Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper). SEBD (2021)
Giuseppe Manco, Ettore Ritacco, Nicola Barbieri
A Factorization Approach for Survival Analysis on Diffusion Networks. IEEE Trans. Knowl. Data Eng. 33 (1) (2021)
Angelica Liguori, Giuseppe Manco, Ettore Ritacco, Massimilano Ruffolo, Salvatore Iiritano
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper). SEBD (2021)
Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco
Adversarial Regularized Reconstruction for Anomaly Detection and Generation. ICDM (2021)
Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco
Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops (2020)
Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. ISMIS (2020)
Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco
A Deep Learning Approach for Detecting Security Attacks on Blockchain. ITASEC (2020)
Antonio L. Alfeo, Mario G. C. A. Cimino, Giuseppe Manco, Ettore Ritacco, Gigliola Vaglini
Using an autoencoder in the design of an anomaly detector for smart manufacturing. Pattern Recognit. Lett. 136 (2020)
Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio
Deep Sequential Modeling for Recommendation. SEBD (2019)
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
Sequential Variational Autoencoders for Collaborative Filtering. WSDM (2019)
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
Sequential Variational Autoencoders for Collaborative Filtering. CoRR (2018)
Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco
Predicting Temporal Activation Patterns via Recurrent Neural Networks. ISMIS (2018)
Giuseppe Manco, Giuseppe Pirrò, Ettore Ritacco
Temporal Recurrent Activation Networks. SEBD (2018)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
Survival Factorization on Diffusion Networks. ECML/PKDD (1) (2017)
Massimo Guarascio, Ettore Ritacco, Daniele Biondo, Rocco Mammoliti, Alessandra Toma
Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform. NFMCP@PKDD/ECML (2017)
Giuseppe Manco, Ettore Ritacco, Pasquale Rullo, Lorenzo Gallucci, Will Astill, Dianne Kimber, Marco Antonelli
Fault detection and explanation through big data analysis on sensor streams. Expert Syst. Appl. 87 (2017)
Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco, Pietro Sabatino
Profiling Human Behavior Through Multidimensional Latent Factor Modeling. NFMCP@PKDD/ECML (2016)
Gianni Costa, Riccardo Ortale, Ettore Ritacco
X-Class: Associative Classification of XML Documents by Structure. ACM Trans. Inf. Syst. 31 (1) (2013)
Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea, Riccardo Ortale, Ettore Ritacco
A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications. SEBD (2013)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco, Marco Carnuccio, Antonio Bevacqua
Probabilistic topic models for sequence data. Mach. Learn. 93 (1) (2013)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Hierarchical clustering of XML documents focused on structural components. Data Knowl. Eng. 84 (2013)
Nicola Barbieri, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. SDM (2012)
Nicola Barbieri, Antonio Bevacqua, Marco Carnuccio, Giuseppe Manco, Ettore Ritacco
Probabilistic Sequence Modeling for Recommender Systems. KDIR (2012)
Antonio Bevacqua, Marco Carnuccio, Alfredo Cuzzocrea, Riccardo Ortale, Ettore Ritacco
Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications. APWeb (2012)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
Hierarchical Latent Factors for Preference Data. SEBD (2012)
Gianni Costa, Riccardo Ortale, Ettore Ritacco
A Transactional Approach to Associative XML Classification by Content and Structure. KDIR (2011)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract). SEBD (2011)
Gianni Costa, Riccardo Ortale, Ettore Ritacco
Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content. IC3K (2011)
Gianni Costa, Riccardo Ortale, Ettore Ritacco
Effective XML Classification Using Content and Structural Information via Rule Learning. ICTAI (2011)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. Knowl. Inf. Syst. 33 (1) (2011)
Nicola Barbieri, Giuseppe Manco, Ettore Ritacco
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. SDM (2011)
Antonio Bevacqua, Marco Carnuccio, Riccardo Ortale, Ettore Ritacco
A new architectural paradigm for content-based web applications: Borè. IDEAS (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
Characterizing Relationships through Co-clustering - A Probabilistic Approach. KDIR (2011)
Nicola Barbieri, Gianni Costa, Giuseppe Manco, Ettore Ritacco
A Block Coclustering Model for Pattern Discovering in Users' Preference Data. IC3K (2011)
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data. IIR (2010)
Gianni Costa, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Fast and Effective Hierarchical Clustering of XML Documents by Structure. SEBD (2010)
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
Rule Learning with Probabilistic Smoothing. DaWaK (2009)
Gianni Costa, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale, Ettore Ritacco
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains. SEBD (2009)
Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis
The DAEDALUS framework: progressive querying and mining of movement data. GIS (2008)
Riccardo Ortale, Ettore Ritacco, Nikos Pelekis, Roberto Trasarti, Gianni Costa, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Yannis Theodoridis
DAEDALUS: A knowledge discovery analysis framework for movement data. SEBD (2008)