Fabrizio Angiulli

DIMES, University of Calabria
Via Pietro Bucci, 41C - 87036 Rende (CS), Italy

f.angiulli@dimes.unical.it

Phone: +39 0984 494717
Professor of Computer Science

Research Interests

Data Mining and Machine Learning, Artificial Intelligence, and Databases.

Publications

Journals

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli. Graph-Based Construction of Minimal Models. Artificial Intelligence (AIJ), accepted for publication on June 28, 2022.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina. LatentOut: an unsupervised anomaly detection approach exploiting latent space distribution. Machine Learning (MACH), accepted for publication on February 19, 2022. [doi] [pdf]

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao. A density estimation approach for detecting and explaining exceptional values in categorical data. Applied Intelligence (APIN), published 2 April, 2022. [doi] [pdf]

Fabrizio Angiulli, Teresa Colombo, Fabio Fassetti, Angelo Furfaro, Paola Paci. Mining sponge phenomena in RNA expression data. Journal of Bioinformatics and Computational Biology (JBCB), 20(1):2150022-2150022:27, 2022. [doi]

Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu. Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intelligent Systems (IS), 36(3):3-4, 2021. [doi]

Fabrizio Angiulli, Fabio Fassetti. Uncertain distance-based outlier detection with arbitrary shaped data objects. Journal of Intelligent Information Systems (JIIS), 57:1-24, 2021 [doi] [pdf]

Fabrizio Angiulli. CFOF: A Concentration Free Measure for Anomaly Detection. ACM Transactions on Knowledge Discovery from Data (TKDD), 14(1):Article 4, 2020. [doi] [pdf]

Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori. Reducing distance computations for distance-based outliers. Expert Systems with Appllications (ESWA), 147:113215, June 2020. [doi]

Fabrizio Angiulli. On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness. Journal of Machine Learning Research (JMLR), 18(170):1-60, 2018. [pub] [pdf]

Fabrizio Angiulli, Estela Narvaez. Pruning strategies for nearest neighbor competence preservation learners. Neurocomputing (NEUCOM), 308:8-20, September 2018. [doi]

Fabrizio Angiulli, Luciano Argento, Angelo Furfaro, Andrea Parise. A hierarchical hybrid framework for modelling anomalous behaviours. Simulation Modelling Practice and Theory (SIMPAT), 82:103-115, March 2018. [doi]

Fabrizio Angiulli, Luciano Argento, Angelo Furfaro. Exploiting content spatial distribution to improve detection of intrusions. ACM Transactions on Internet Technology (TOIT), 18(2):Article 25, January 2018. [doi] [

Digital Library]

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Giuseppe Manco. Outlying Property Detection with Numerical Attributes. Data Mining and Knowledge Discovery (DAMI), 31(1):134-163, January 2017. [doi] [pdf]

Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori. GPU Strategies for Distance-based Outlier Detection. IEEE Transactions on Parallel and Distributed Systems (TPDS), 27(11):3256-3268, November 2016. [doi] [pdf]

Fabrizio Angiulli, Fabio Fassetti. Towards generalizing the unification with statistical outliers: the Gradient Outlier Factor measure. ACM Transactions on Knowledge Discovery from Data (TKDD), 10(3):Article 27, January 2016. [doi] [

Digital Library]

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli. Restricted default theories: expressive power and outlier detection tasks. Theoretical Computer Science (TCS), 564:107-130, January 2015. [doi] [pdf]

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli. On the Tractability of Minimal Model Computation for Some CNF Theories. Artificial Intelligence (AIJ), 210:56-77, May 2014. [doi] [pdf]

Fabrizio Angiulli, Fabio Fassetti. Exploiting Domain Knowledge to Detect Outliers. Data Mining and Knowledge Discovery (DAMI), 28(2):519-568, March 2014. [doi] [pdf]

Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro. Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale (IA), Special Issue Celebrating 25 years of the Italian Association for Artificial Intelligence, 7(2):77-89, November 2013. [doi] [pdf]

Fabrizio Angiulli, Fabio Fassetti. Nearest Neighbor-Based Classification of Uncertain Data. ACM Transactions on Knowledge Discovery from Data (TKDD), 7(1), Article 1, March 2013. [doi] [

Digital Library]

Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori. Distributed Strategies for Mining Outliers in Large Data Sets. IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(7):1520-1532, July 2013. [doi] [pdf]

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli. Discoverying Characterizations of the Behavior of Outlier Sub-Populations. IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(6):1280-1292, June 2013. [doi] [pdf]

Fabrizio Angiulli, Fabio Fassetti. Indexing Uncertain Data in General Metric Spaces. IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(9):1640-1657, September 2012. [doi] [pdf]

Fabrizio Angiulli. Prototype-based Domain Description for One-Class Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34(6):1131-1144, June 2012. [doi] [pdf]

Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli. Detecting and Repairing Anomalous Evolutions in Noisy Environments. Annals of Mathematics and Artificial Intelligence (AMAI), 60(3-4):179-228, December 2010, Springer. [doi] [pdf]

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli. Outlier Detection for Simple Default Theories. Artificial Intelligence (AIJ), 174(15):1247-1253, October 2010, Elsevier. [doi]

Fabrizio Angiulli, Fabio Fassetti. Distance-based outlier queries in data streams: the novel task and algorithms. Data Mining and Knowledge Discovery (DAMI), Special Issue on Outlier Detection for Knowledge Discovery, 20(2):290-324, March 2010. [doi] [pdf]

Fabrizio Angiulli, Annabella Astorino. Scaling Up Support Vector Machines using Nearest Neighbor Condensation. IEEE Transactions on Neural Networks (TNN), 21(2):351-357, February 2010. [doi] [pdf]

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli. Detecting Outlying Properties of Exceptional Objects. ACM Transactions on Database Systems (TODS), 34(1), Article 7, April 2009. [doi] [

Digital Library]

Fabrizio Angiulli, Fabio Fassetti. DOLPHIN: an Efficient Algorithm for Mining Distance-Based Outliers in Very Large Datasets. ACM Transactions on Knowledge Discovery from Data (TKDD), 3(1), Article 4, March 2009. [doi] [

Digital Library]

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli. Outlier Detection using Default Reasoning. Artificial Intelligence (AIJ), 172(16-17):1837-1872, November 2008, Elsevier. [doi] [pdf]

Fabrizio Angiulli, Eugenio Cesario, Clara Pizzuti. Random Walk Biclustering for Microarray Data. Information Sciences (Inf. Sci.), 178(6):1479-1497, March 2008, Elsevier. [doi] [pdf]

Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli. Outlier Detection by Logic Programming. ACM Transactions on Computational Logic (TOCL), 9(1), Article No. 7, December 2007. [doi] [

Digital Library]

Fabrizio Angiulli, Gianluigi Folino. Distributed Nearest Neighbor Based Condensation of Very Large Datasets. IEEE Transactions on Knowledge and Data Engineering (TKDE), 19(12):1593-1606, December 2007. [doi] [pdf]

Fabrizio Angiulli. Fast Nearest Neighbor Condensation for Large Data Sets Classification. IEEE Transactions on Knowledge and Data Engineering (TKDE), 19(11):1450-1464, November 2007. [doi] [pdf]

Fabrizio Angiulli. Condensed Nearest Neighbor Data Domain Description. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 29(10):1746-1758, October 2007. [doi] [pdf]

Fabrizio Angiulli, Stefano Basta, Clara Pizzuti. Distance-Based Detection and Prediction of Outliers. IEEE Transactions on Knowledge and Data Engineering (TKDE), 18(2):145-160, February 2006. [doi] [pdf]

Fabrizio Angiulli. Enumerating Consistent Metaquery Instantiations. AI Communications (AICom), 18(2):117-141, 2005, IOS Press. [pub] [pdf]

Fabrizio Angiulli, Clara Pizzuti. An Approximate Algorithm for Top-k Closest Pairs Join Query in Large High Dimensional Data. Data & Knowledge Engineering (DKE), 53(3):263-281, June 2005, Elsevier. [doi] [pdf]

Fabrizio Angiulli, Clara Pizzuti. Approximate k-Closest-Pairs in Large High Dimensional Data. Journal of Mathematical Modelling and Algorithms (JMMA), 4(2):149-179, June 2005, Kluwer. [doi]

Fabrizio Angiulli, Clara Pizzuti. Outlier Mining in Large High-Dimensional Data Sets. IEEE Transactions on Knowledge and Data Engineering (TKDE), 17(2):203-215, February 2005. [doi] [pdf]

Fabrizio Angiulli, Giovambattista Ianni, Luigi Palopoli. On the Complexity of Inducing Categorical and Quantitative Association Rules. Theoretical Computer Science (TCS), 314(1-2):217-249, February 2004, Elsevier. [doi] [pdf]

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Giovambattista Ianni, Luigi Palopoli. Computational Properties of Metaquerying Problems. ACM Transactions on Computational Logic (TOCL), 4(2):149-180, April 2003. [doi] [

Digital Library]

Fabrizio Angiulli, Luigi Palopoli, Riccardo Torlone. The GPR System: An Architecture for Integrating Active and Deductive Rules on Complex Database Objects. In Theory and Practice of Object Systems (TAPOS), 3(4):285-301, 1997, John Wiley. [doi] [pdf]

Conferences and book chapters

Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao. CiteRank: a method to evaluate researchers influence based on citation and collaboration networks. Proceedings of the International Workshop on Knowledge Graph Analysis on a Large Scale (K-Gals) co-located with the European Conference on Advances in Databases and Information Systems (ADBIS), Turin, Italy, 2022.

Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò, Luigi Palopoli. Outlier Explanantion through Masking Models. Proceedings of the European Conference on Advances in Databases and Information Systems (ADBIS), Turin, Italy, 2022.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Prospero Papaleo. Meta-Feature Extraction Strategies for Active Anomaly Detection. Proceedings of the International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Manchester, UK, 2021.

Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò. Finding Local Explanations trhough Masking Models. Proceedings of the International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Manchester, UK, 2021.

Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò. Local Interpretable Classifier Explanations with Self-generated Semantic Features. Proceedings of the International Conference on Discovery Science (DS), Halifax, Canada, October 11-13, 2021.

Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao. Detecting Outliers in Networks via Stochastic Block Models. Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), Linz, Austria, September 27-30, 2021.

Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao. ODCA: an Outlier Detection Approach to Deal with Correlated Attributes. Proceedings of the International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), Linz, Austria, September 27-30, 2021.

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina. Improving deep unsupervised anomaly detection by exploiting VAE latent space distribution. Proceedings of the International Conference on Discovery Science (DS), Thessaloniki, Greece, October 19-21, 2020. [doi]

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao. A density estimation approach for detecting and explaining exceptional values in categorical data. Proceedings of the International Conference on Discovery Science (DS), Split, Croatia, October 28-30, 2019. [doi]

Fabrizio Angiulli. Data Mining: Outlier Detection. Encyclopedia of Bioinformatics and Computational Biology, Volume 1, pages 456-462, Elsevier, 2019. [doi]

Fabrizio Angiulli, Fabio Fassetti, Angelo Furfaro, Antonio Piccolo, Domenico Saccà. Achieving Service Accountability Through Blockchain and Digital Identity. Proceedings of the International Conference on Advanced Information Systems Engineering Forum (CAiSE Forum), Tallin, Estonia, June 11-15, 2018. [doi]

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Domenico Ursino. A Tour from Regularities to Exceptions. A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, pp. 307-322, May 2017. [doi]

Fabrizio Angiulli. Concentration Free Outlier Detection. Proceedings of the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Skopje, Macedonia, September 18-22, 2017. [pdf]

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli. Modular Construction of Minimal Models. Proceedings of the 14th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR), Espoo, Finland, July 3-6, 2017, pp. 43-48.

Fabrizio Angiulli, Fabio Fassetti, Estela Narvaez. Anomaly Detection in Networks with Temporal Information. Proceedings of the 19th International Conference on Discovery Science (DS), Bari, Italy, October 19-21, 2016, pp. 359-375. [doi] [pdf]

Fabrizio Angiulli, Luciano Argento, Angelo Furfaro. Exploiting n-gram location for intrusion detection. Proceedings of the 27th International Conference on Tools with Artificial Intelligence (ICTAI), Vietri sul Mare, Italy, November 9-11, 2015.

Fabrizio Angiulli, Estela Narvaez. Pruning Nearest Neighbor Competence Preservation Learners. Proceedings of the 27th International Conference on Tools with Artificial Intelligence (ICTAI), Vietri sul Mare, Italy, November 9-11, 2015.

Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori. Accelerating outlier detection with intra- and inter-node parallelism. Proceedings of the International Conference on High Performace Computing & Simulation (HPCS), Bologna, Italy, July 21-25, 2014.

Fabrizio Angiulli, Fabio Fassetti. Outlier Detection with Arbitrary Probability Functions. Proceedings of the International Conference on Advances in Artificial Intelligence (AI*IA), Turin, Italy, December 4-6, 2013. [doi] [pdf]

Fabrizio Angiulli, Fabio Fassetti. Principal Directions-based Pivot Placement. Proceedings of the International Conference on Similarity Search and Applications (SISAP), A Coruna, Spain, October 2-4, 2013. [doi] [pdf]

Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori. Fast Outlier Detection using a GPU. Proceedings of the International Conference on High Performace Computing & Simulation (HPCS), Helsinki, Finland, July 1-5, 2013. [doi] [pdf]

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli. Tractable Strong Outlier Identification. Proceedings of the 9th Internation Workshop on Nonmonotonic Reasoning, Action and Change (NRAC), Barcelona, Spain, July 16-17, 2011.

Fabrizio Angiulli, Elio Masciari. Effectively Monitoring RFID based systems. Proceedings of the 14th East-European Conference on Advances in Databases and Information Systems (ADBIS), Novi Sad, September 20-24, 2010. [doi]

Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori. A Distributed Approach to Detect Outliers in Very Large Data Sets. Proceedings of the 16th European Conference on Parallel Processing (Euro-Par), Ischia, Naples, Italy, August 31 - September 3, 2010. [doi]

Fabrizio Angiulli, Elio Masciari. SMART: Simple Monitoring enterprise Activities by RFID Tags. Proceedigns of the 22nd International Conference on Advanced Information Systems Engineering (CAiSE), Hammamet, Tunisia, June 7-11, 2010.

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Domenico Trimboli. Detection of Discriminating Rules. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 169-177, Valencia, Spain, January 22-24, 2010.

Fabrizio Angiulli, Fabio Fassetti. Finding Distance-based Outliers in Subspaces through Both Positive and Negative Examples. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART), pages 5-10, Valencia, Spain, January 22-24, 2010.

Fabrizio Angiulli. Outlier Detection Techniques for Data Mining. In Encyclopedia of Data Warehousing and Mining - 2nd Edition (IGI), IGI Publishing, 2009. [doi]

Fabrizio Angiulli, Fabio Fassetti. Outlier Detection using Inductive Logic Programming. In Proceedings of the IEEE International Conference on Data Mining (ICDM), Miami, Florida, December 6-9, 2009. [doi] [pdf]

Fabrizio Angiulli, Stefano Basta. Optimal Subset Selection for Classification through SAT Encodings. In Proceedings of the IFIP Conference on Artificial Intelligence (IFIP AI), Milan, Italy, September 7-10, 2008. [doi]

Fabrizio Angiulli. Prototype-based Domain Description. In Proceedings of the 18th European Conference on Artificial Intelligence (ECAI), Patras, Greece, July 21-25, 2008. [doi]

Fabrizio Angiulli, Fabio Fassetti. An Efficient Method for Outlier Detection. In Atti del Sedicesimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati (SEBD), Palermo, Italy, 2008.

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli. An Unsupervised Outlier Detection Approach for Cleaning String Data Entries. In Atti del Sedicesimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati (SEBD), Palermo, Italy, 2008.

Fabrizio Angiulli, Valeria Fionda, Simona Rombo. Protein Data Condensation for Effective Quaternary Structure Classification. In Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Birmingham, UK, December 16-19, 2007. [doi]

Fabrizio Angiulli, Fabio Fassetti. Very Efficient Mining of Distance-Based Outliers. In Proceedings of the ACM Sixteenth Conference on Information and Knowledge Management (CIKM), Lisboa, Portugal, November 6-9, 2007. [

Digital Library]

Fabrizio Angiulli, Fabio Fassetti. Detecting Distance-Based Outliers in Streams of Data. In Proceedings of the ACM Sixteenth Conference on Information and Knowledge Management (CIKM), Lisboa, Portugal, November 6-9, 2007. [

Digital Library]

Fabrizio Angiulli, Gianluigi Folino. Efficient Distributed Data Condensation for Nearest Neighbor Classification. In Proceedings of the European Conference on Parallel and Distributed Computing (Euro-Par), Rennes, France, August 28-31, 2007.

Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli, Domenico Trimboli. The LP-OD System: Logic Programming meets Outlier Detection. In Proceedings of the Ninth International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR), Tempe, AZ, May 14-17, 2007.

Fabrizio Angiulli, Eugenio Cesario, Clara Pizzuti. A Greedy Search Approach to Co-clustering Sparse Binary Matrices. In Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Washington D.C., November 13-15, 2006.

Fabrizio Angiulli. Clustering by Exceptions. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI), Boston, Massachusetts, July 16-20, 2006.

Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli. Detecting and Repairing Anomalous Evolutions in Noisy Environments: Logic Programming Formalization and Complexity Results. In Proceedings of the IFIP Conference on Artificial Intelligence (IFIP AI), Santiago, Chile, August 21-24, 2006.

Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli. Un Metodo per la Scoperta di Proprietà Inattese. In Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems (SEBD), Portonovo, June 18-21, 2006.

Fabrizio Angiulli. Condensed Nearest Neighbor Data Domain Description. In Proceedings of the 6th International Symposium on Intelligent Data Analysis (IDA), Madrid, Spain, September 8-10, 2005.

Fabrizio Angiulli, Clara Pizzuti. Gene Expression Biclustering using Random Walk Strategies. In Proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Copenhagen, Denmark, August 22-26, 2005. [pdf]

Fabrizio Angiulli. Fast Condensed Nearest Neighbor Rule. In Proceedings of the 22nd International Conference on Machine Learning (ICML), Bonn, Germany, 7-11 August, 2005. [pdf] [

Digital Library]

Fabrizio Angiulli, Stefano Basta, Clara Pizzuti. Detection and Prediction of Distance-Based Outliers. In Proceedings of the 20th ACM Symposium on Applied Computing (SAC), Santa Fe, New Mexico, March 13-17, 2005. [

Digital Library]

Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli. Detecting Outliers via Logical Theories and its Data Complexity. In Proceedings of the 7th International Conference on Discovery Science (DS), Padova, Italy, October 2-5, 2004.

Fabrizio Angiulli, Stefano Basta, Clara Pizzuti. Improving Prediction of Distance-Based Outliers. In Proceedings of the 7th International Conference on Discovery Science (DS), Padova, Italy, October 2-5, 2004.

Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli. Discovering Anomalies in Evidential Knowledge by Logic Programming. In Proceedings of the 9th European Conference on Logics in Artificial Intelligence (JELIA), Lisbon, Portugal, September 27-30, 2004.

Fabrizio Angiulli, Clara Pizzuti, Massimo Ruffolo. DESCRY: A Grid and Density Based Clustering Algorithm for Very Large Data Sets. In Proceedings of the 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Exeter, UK, August 25-27, 2004.

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli. Outlier Detection using Disjunctive Logic Programming. In Proceedings of the 16th European Conference on Artificial Intelligence (ECAI), Valencia, Spain, August 22-27, 2004.

Fabrizio Angiulli, Clara Pizzuti. Top-k Closest Pairs Join Query: An Approximate Algorithm for Large High Dimensional Data. In Proceedings of the 8th International Database Engineering & Applications Symposium (IDEAS), Coimbra, Portugal, July 7-9, 2004.

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary. Exploiting Default Logic to Detect Outliers. In Proceedings of the APPIA-GULP-PRODE 2003 Joint Conference on Declarative Programming. (AGP), Reggio Calabria, Italy, September 3-5, 2003.

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli. Outlier Detection using Default Logic. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, August 9-15, 2003. [pdf]

Fabrizio Angiulli, Tiziana Catarci, Paolo Ciaccia, Giovambattista Ianni, Stephen Kimani, Stefano Lodi, Marco Patella, Giuseppe Santucci. An Integrated Data Mining and Data Presentation Tool. In Proceedings of the Third International Conference on Data Mining Methods and Databases for Engineering, Finance and Other Fields, Bologna, Italy, September 25-27, 2002.

Fabrizio Angiulli, Clara Pizzuti. Approximate k-Closest-Pairs with Space Filling Curves. In Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Aix-en-Provence, France, September 2-6, 2002. [doi]

Fabrizio Angiulli, Clara Pizzuti. Fast Outlier Detection in High Dimensional Spaces. In Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Helsinki, Finland, August 19-23, 2002. [doi]

Fabrizio Angiulli, Giovambattista Ianni, Luigi Palopoli. On the Complexity of Mining Association Rules. In Atti del Nono Convegno su Sistemi Evoluti per Basi di Dati (SEBD), 27-29 Giugno 2001, Venezia, Italy. [pdf]

Fabrizio Angiulli, Giovambattista Ianni, Luigi Palopoli. Metaquerying: proprietà e tecniche di implementazione. In Atti dell'Ottavo Convegno su Sistemi Evoluti per Basi di Dati (SEBD), 26-28 Giugno 2000, L'Aquila, Italy, pages 317-330.

Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Giovambattista Ianni, Luigi Palopoli. Computational Properties of Metaquerying Problems. In Proceedings of the Nineteenth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS), May 15-17, 2000, Dallas, Texas, USA, pages 237-244. [Digital Library]

Professional Services

Editorial Board member

Guest Editor of the upcoming Special Issue on Non-IID Outlier Detection in Complex Contexts, IEEE Intelligent Systems. [CFP]

Associate Editor of the AI Communications journal in the area of Data Mining and Knowledge Discovery (AICom)

Program Committee member

Research and Applied Data Science Tracks Area Chair of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD): 2022 / 21 / 20 / 19.

Program Committee member of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD): 2018 / 17 / 16.

Program Committee member of the ICDM Workshop on High Dimensional Data Mining (HDM): 2019 / 18.

Program Committee member of the ACM SIGKDD Workshop on Outlier Definition, Detection, and Description (ODD): 2019, 18, 16, 15 / 14 / 13.

Program Committee member of the International Symposium on Intelligent Data Analysis (IDA): 2018, 17, 16, 15 / 14 / 13 / 12 / 10 / 09.

Program Committee member of the International Joint Conference on Artificial Intelligence (IJCAI): 2017 / 16 / 15 / 13.

Program Committee member of the ACM Symposium on Applied Computing, Special Track on Data Mining (SAC): 2019 / 18 / 17 / 16 / 15 / 14 / 13 / 12 / 11 / 10 / 09 / 08 / 07 / 06.

Program Committee member of the IEEE/WIC/ACM International Conference on Web Intelligence (WI): 2018 / 17 / 16 / 15 / 14 / 13 / 12 / 08 / 07 / 06 / 05.

Program Committee member of the AAAI Conference on Artificial Intelligence (AAAI): 2012 / 11.

Program Committee member of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI): 2010.

Program Committee member of the East-European Conference on Advances in Databases and Information Systems (ADBIS): 2010.

Teaching Activities

Courses

Machine and Deep Learning, Corso di Laurea Magistrale in Ingegneria Informatica, Università della Calabria, a.a. 2019-20.

Architetture e Programmazione dei Sistemi di Elaborazione, Corso di Laurea Magistrale in Ingegneria Informatica, Università della Calabria, a.a. 2019-20.

Reti Logiche e Calcolatori, Corso di Laurea in Ingegneria Informatica, Università della Calabria, a.a. 2019-20.

Past courses

Concetti Evoluti di Data Mining, Corso di Dottorato in Ingegneria dei Sistemi ed Informatica, Università della Calabria, a.a. 10-11/11-12/12-13.

Analisi di Immagini, Corso di Laurea Magistrale in Ingegneria Informatica, Università della Calabria, a.a. 2014-15/15-16.

Architetture e Programmazione dei Sistemi di Elaborazione, Corso di Laurea Magistrale in Ingegneria Informatica, Università della Calabria, a.a. 2014-15/15-16/16-17/17-18/18-19.

Calcolatori Elettronici II, Corso di Laurea Magistrale in Ingegneria Informatica, Università della Calabria, a.a. 10-11/11-12/12-13/13-14.

Intelligenza Artificiale, Corso di Laurea Specialistica in Ingegneria Informatica e dei Sistemi Sanitari, Università di Catanzaro, a.a. 04-05/05-06/06-07/07-08.

Sistemi Informativi e Basi di Dati, Facoltà di Ingegneria, Corso di Laurea in Ingegneria Gestionale, Università della Calabria, a.a. 06-07/07-08/08-09.

Fondamenti di Informatica, Facoltà di Ingegneria, Corso di Laurea in Ingegneria, Università della Calabria, a.a. 09-10/12-13.

Fondamenti di Informatica, Corso di Laurea in Ingegneria Elettronica, Università della Calabria, a.a. 13-14.

Fondamenti di Informatica, Facoltà di Ingegneria, Corso di Laurea in Ingegneria Gestionale, Università della Calabria, a.a. 06-07/07-08/08-09.

Calcolatori Elettronici, Facoltà di Ingegneria, Corso di Laurea in Ingegneria Informatica, Università della Calabria, a.a. 04-05/05-06/06-07.

Architettura dei Calcolatori Elettronici, Facoltà di Ingegneria, Corso di Laurea Specialistica in Ingegneria delle Telecomunicazioni, Università di Reggio Calabria, a.a. 2003-04.

Introduzione all'Informatica, Facoltà di Ingegneria, Corso di Laurea in Ingegneria, Università della Calabria, a.a. 2003-04, 2004-05, 2005-06.

PhD Students

Fabio Fassetti

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