| Detecting distance-based outliers in streams of data F Angiulli, F Fassetti Proceedings of the sixteenth ACM conference on Conference on information and …, 2007 | 341 | 2007 |
| Dolphin: An efficient algorithm for mining distance-based outliers in very large datasets F Angiulli, F Fassetti ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (1), 1-57, 2009 | 141 | 2009 |
| Distance-based outlier queries in data streams: the novel task and algorithms F Angiulli, F Fassetti Data Mining and Knowledge Discovery 20, 290-324, 2010 | 121 | 2010 |
| Detecting outlying properties of exceptional objects F Angiulli, F Fassetti, L Palopoli Acm transactions on database systems (tods) 34 (1), 1-62, 2009 | 93 | 2009 |
| Very efficient mining of distance-based outliers F Angiulli, F Fassetti Proceedings of the sixteenth ACM conference on conference on information and …, 2007 | 53 | 2007 |
| Outlying property detection with numerical attributes F Angiulli, F Fassetti, G Manco, L Palopoli Data mining and knowledge discovery 31, 134-163, 2017 | 42 | 2017 |
| Nearest neighbor-based classification of uncertain data F Angiulli, F Fassetti ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (1), 1-35, 2013 | 39 | 2013 |
| Discovering characterizations of the behavior of anomalous subpopulations F Angiulli, F Fassetti, L Palopoli IEEE Transactions on knowledge and data engineering 25 (6), 1280-1292, 2012 | 35 | 2012 |
| Mining loosely structured motifs from biological data F Fassetti, G Greco, G Terracina IEEE Transactions on Knowledge and Data Engineering 20 (11), 1472-1489, 2008 | 27 | 2008 |
| Indexing uncertain data in general metric spaces F Angiulli, F Fassetti IEEE transactions on knowledge and data engineering 24 (9), 1640-1657, 2012 | 26 | 2012 |
| High quality true-positive prediction for fiscal fraud detection S Basta, F Fassetti, M Guarascio, G Manco, F Giannotti, D Pedreschi, ... 2009 IEEE International Conference on Data Mining Workshops, 7-12, 2009 | 25 | 2009 |
| Exploiting domain knowledge to detect outliers F Angiulli, F Fassetti Data Mining and Knowledge Discovery 28, 519-568, 2014 | 21 | 2014 |
| : an unsupervised deep anomaly detection approach exploiting latent space distribution F Angiulli, F Fassetti, L Ferragina Machine Learning 112 (11), 4323-4349, 2023 | 17 | 2023 |
| Achieving service accountability through blockchain and digital identity F Angiulli, F Fassetti, A Furfaro, A Piccolo, D Saccà Information Systems in the Big Data Era: CAiSE Forum 2018, Tallinn, Estonia …, 2018 | 16 | 2018 |
| On the tractability of minimal model computation for some CNF theories F Angiulli, R Ben-Eliyahu-Zohary, F Fassetti, L Palopoli Artificial Intelligence 210, 56-77, 2014 | 14 | 2014 |
| An infrastructure for service accountability based on digital identity and blockchain 3.0 A Furfaro, L Argento, D Saccá, F Angiulli, F Fassetti IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 13 | 2019 |
| Approximate functional dependencies for XML data F Fassetti, B Fazzinga Foundations 26, 27, 2007 | 11 | 2007 |
| IP6K gene identification in plant genomes by tag searching F Fassetti, O Leone, L Palopoli, SE Rombo, A Saiardi BMC proceedings 5, 1-11, 2011 | 10 | 2011 |
| Improving deep unsupervised anomaly detection by exploiting VAE latent space distribution F Angiulli, F Fassetti, L Ferragina International Conference on Discovery Science, 596-611, 2020 | 8 | 2020 |
| Toward generalizing the unification with statistical outliers: The gradient outlier factor measure F Angiulli, F Fassetti ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 1-26, 2016 | 8 | 2016 |
Fabrizio AngiulliFull Professor - DIMES, University of CalabriaVerified email at dimes.unical.it
