Ettore Ritacco

发表

Profiling Human Behavior Through Multidimensional Latent Factor Modeling

Massimo Guarascio, Francesco Sergio Pisani, Ettore Ritacco, 2016, NFMCP@PKDD/ECML.

Probabilistic topic models for sequence data

Nicola Barbieri, Ettore Ritacco, Antonio Bevacqua, 2013, Machine Learning.

Probabilistic Approaches to Recommendations

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2014, Probabilistic Approaches to Recommendations.

X-Class: Associative Classification of XML Documents by Structure

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2013, TOIS.

Hierarchical Latent Factors for Preference Data

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2012, SEBD.

Learning Effective XML Classifiers Based on Discriminatory Structures and Nested Content

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, IC3K.

A Block Coclustering Model for Pattern Discovering in Users' Preference Data

Nicola Barbieri, Gianni Costa, Ettore Ritacco, 2011, IC3K.

Deep Autoencoder Ensembles for Anomaly Detection on Blockchain

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2020, ISMIS.

Probabilistic Sequence Modeling for Recommender Systems

Nicola Barbieri, Ettore Ritacco, Antonio Bevacqua, 2012, KDIR.

Fast and Effective Hierarchical Clustering of XML Documents by Structure

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2010, SEBD.

Deep Sequential Modeling for Recommendation

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, SEBD.

A Factorization Approach for Survival Analysis on Diffusion Networks

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2021, IEEE Transactions on Knowledge and Data Engineering.

Characterizing Relationships through Co-clustering - A Probabilistic Approach

Nicola Barbieri, Gianni Costa, Ettore Ritacco, 2011, KDIR.

Survival Factorization on Diffusion Networks

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2017, ECML/PKDD.

From global to local and viceversa: uses of associative rule learning for classification in imprecise environments

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, Knowledge and Information Systems.

Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform

Rocco Mammoliti, Massimo Guarascio, Ettore Ritacco, 2017, NFMCP@PKDD/ECML.

Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications

Riccardo Ortale, Alfredo Cuzzocrea, Ettore Ritacco, 2012, APWeb.

DAEDALUS: A knowledge discovery analysis framework for movement data

Nikos Pelekis, Yannis Theodoridis, Gianni Costa, 2008, SEBD.

Rule Learning with Probabilistic Smoothing

Gianni Costa, Riccardo Ortale, Massimo Guarascio, 2009, DaWaK.

Knowledge Discovery in Databases

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Deep Learning

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Hierarchical clustering of XML documents focused on structural components

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2013, Data Knowl. Eng..

Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2011, SDM.

Fault detection and explanation through big data analysis on sensor streams

Marco Antonelli, Ettore Ritacco, Giuseppe Manco, 2017, Expert Syst. Appl..

Temporal Recurrent Activation Networks

Ettore Ritacco, Giuseppe Pirrò, Giuseppe Manco, 2018, SEBD.

Effective XML Classification Using Content and Structural Information via Rule Learning

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

Predicting Temporal Activation Patterns via Recurrent Neural Networks

Ettore Ritacco, Giuseppe Pirrò, Giuseppe Manco, 2018, ISMIS.

Network Models

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, Encyclopedia of Bioinformatics and Computational Biology.

A new architectural paradigm for content-based web applications: Borè

Riccardo Ortale, Ettore Ritacco, Antonio Bevacqua, 2011, IDEAS '11.

A Transactional Approach to Associative XML Classification by Content and Structure

Gianni Costa, Riccardo Ortale, Ettore Ritacco, 2011, KDIR.

Sequential Variational Autoencoders for Collaborative Filtering

Vikram Pudi, Ettore Ritacco, Giuseppe Manco, 2018, WSDM.

Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data

Nicola Barbieri, Riccardo Ortale, Ettore Ritacco, 2012, SDM.

Using an autoencoder in the design of an anomaly detector for smart manufacturing

Gigliola Vaglini, Mario G. C. A. Cimino, Ettore Ritacco, 2020, Pattern Recognit. Lett..

The DAEDALUS framework: progressive querying and mining of movement data

Nikos Pelekis, Yannis Theodoridis, Gianni Costa, 2008, GIS '08.

A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data (Extended Abstract)

Nicola Barbieri, Ettore Ritacco, Giuseppe Manco, 2011, SEBD.

A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains

Gianni Costa, Riccardo Ortale, Massimo Guarascio, 2009, SEBD.

Network Topology

Massimo Guarascio, Ettore Ritacco, Giuseppe Manco, 2019, Encyclopedia of Bioinformatics and Computational Biology.

An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data

Nicola Barbieri, Massimo Guarascio, Ettore Ritacco, 2010, IIR.

A Deep Learning Approach for Detecting Security Attacks on Blockchain

Ettore Ritacco, Giuseppe Manco, Massimo Guarascio, 2020, ITASEC.

A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications

Riccardo Ortale, Alfredo Cuzzocrea, Ettore Ritacco, 2013, SEBD.

A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper)

Ettore Ritacco, Giuseppe Manco, Salvatore Iiritano, 2021, SEBD.

Unbiasing Collaborative Filtering for Popularity-Aware Recommendation (Discussion Paper)

Francesco Sergio Pisani, Ettore Ritacco, Luciano Caroprese, 2021, SEBD.