| Sequential variational autoencoders for collaborative filtering N Sachdeva, G Manco, E Ritacco, V Pudi Proceedings of the twelfth ACM international conference on web search and …, 2019 | 70 | 2019 |
| Fault detection and explanation through big data analysis on sensor streams G Manco, E Ritacco, P Rullo, L Gallucci, W Astill, D Kimber, M Antonelli Expert Systems with Applications 87, 141-156, 2017 | 65 | 2017 |
| Using an autoencoder in the design of an anomaly detector for smart manufacturing AL Alfeo, MGCA Cimino, G Manco, E Ritacco, G Vaglini Pattern Recognition Letters 136, 272-278, 2020 | 47 | 2020 |
| Probabilistic topic models for sequence data N Barbieri, G Manco, E Ritacco, M Carnuccio, A Bevacqua Machine learning 93, 5-29, 2013 | 45 | 2013 |
| Hierarchical clustering of XML documents focused on structural components G Costa, G Manco, R Ortale, E Ritacco Data & Knowledge Engineering 84, 26-46, 2013 | 33 | 2013 |
| Probabilistic approaches to recommendations N Barbieri, G Manco, E Ritacco Synthesis Lectures on Data Mining and Knowledge Discovery 5 (2), 1-197, 2014 | 31 | 2014 |
| X-class: Associative classification of xml documents by structure G Costa, R Ortale, E Ritacco ACM Transactions on Information Systems (TOIS) 31 (1), 1-40, 2013 | 30 | 2013 |
| The DAEDALUS framework: progressive querying and mining of movement data R Ortale, E Ritacco, N Pelekis, R Trasarti, G Costa, F Giannotti, G Manco, ... Proceedings of the 16th ACM SIGSPATIAL international conference on Advances …, 2008 | 29 | 2008 |
| A Deep Learning Approach for Detecting Security Attacks on Blockchain. F Scicchitano, A Liguori, M Guarascio, E Ritacco, G Manco ITASEC, 212-222, 2020 | 27 | 2020 |
| Deep learning M Guarascio, G Manco, E Ritacco Academic Press, 2019 | 18 | 2019 |
| Effective xml classification using content and structural information via rule learning G Costa, R Ortale, E Ritacco 2011 IEEE 23rd International Conference on Tools with Artificial …, 2011 | 17 | 2011 |
| Balancing prediction and recommendation accuracy: Hierarchical latent factors for preference data N Barbieri, G Manco, R Ortale, E Ritacco Proceedings of the 2012 SIAM International Conference on Data Mining, 1035-1046, 2012 | 14 | 2012 |
| Knowledge discovery in databases M Guarascio, G Manco, E Ritacco Encyclopedia of Bioinformatics and Computational Biology: ABC of …, 2018 | 13 | 2018 |
| Rule learning with probabilistic smoothing G Costa, M Guarascio, G Manco, R Ortale, E Ritacco Data Warehousing and Knowledge Discovery: 11th International Conference …, 2009 | 13 | 2009 |
| A probabilistic hierarchical approach for pattern discovery in collaborative filtering data N Barbieri, G Manco, E Ritacco Proceedings of the 2011 SIAM International Conference on Data Mining, 630-641, 2011 | 9 | 2011 |
| Survival factorization on diffusion networks N Barbieri, G Manco, E Ritacco Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 8 | 2017 |
| From global to local and viceversa: uses of associative rule learning for classification in imprecise environments G Costa, G Manco, R Ortale, E Ritacco Knowledge and information systems 33 (1), 137-169, 2012 | 6 | 2012 |
| Deep autoencoder ensembles for anomaly detection on blockchain F Scicchitano, A Liguori, M Guarascio, E Ritacco, G Manco Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020 | 5 | 2020 |
| Blockchain attack discovery via anomaly detection F Scicchitano, A Liguori, M Guarascio, E Ritacco, G Manco Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte …, 2019 | 4 | 2019 |
| A new architectural paradigm for content-based web applications: Borč A Bevacqua, M Carnuccio, R Ortale, E Ritacco Proceedings of the 15th Symposium on International Database Engineering …, 2011 | 4 | 2011 |
