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ORCIDFabrizio Angiulli
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- affiliation: National Research Council, Italy
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2020 – today
- 2024
[j46]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Enhancing anomaly detectors with LatentOut. J. Intell. Inf. Syst. 62(4): 905-923 (2024)- 2023
- [j45]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
Anomaly detection with correlation laws. Data Knowl. Eng. 145: 102181 (2023) - [j44]Fabrizio Angiulli
, Fabio Fassetti, Luca Ferragina:
${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution. Mach. Learn. 112(11): 4323-4349 (2023) - [c71]Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò, Luigi Palopoli:
Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. DS 2023: 159-173 - [i10]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Reconstruction Error-based Anomaly Detection with Few Outlying Examples. CoRR abs/2305.10464 (2023) - 2022
- [j43]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli:
Graph-based construction of minimal models. Artif. Intell. 313: 103754 (2022) - [j42]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao:
A density estimation approach for detecting and explaining exceptional values in categorical data. Appl. Intell. 52(15): 17534-17556 (2022) - [j41]Fabrizio Angiulli, Teresa Colombo, Fabio Fassetti, Angelo Furfaro, Paola Paci:
Mining sponge phenomena in RNA expression data. J. Bioinform. Comput. Biol. 20(1): 2150022:1-2150022:27 (2022) - [c70]Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò, Luigi Palopoli:
Outlier Explanation Through Masking Models. ADBIS 2022: 392-406 - [c69]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
CiteRank: A Method to Evaluate Researchers Influence Based on Citation and Collaboration Networks. ADBIS (Short Papers) 2022: 400-410 - [c68]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Rosaria Spada:
Cooperative Deep Unsupervised Anomaly Detection. DS 2022: 318-328 - [c67]Fabrizio Angiulli, Angelo Furfaro, Domenico Saccà, Ludovica Sacco:
Evaluating Deep Packet Inspection in Large-scale Data Processing. FiCloud 2022: 16-23 - [c66]Fabrizio Angiulli, Alessandra Del Prete, Fabio Fassetti, Simona Nisticò:
A Semi-automatic Data Generator for Query Answering. ISMIS 2022: 106-114 - [c65]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings. ISMIS 2022: 251-261 - 2021
- [j40]Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu:
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. 36(3): 3-4 (2021) - [j39]Fabrizio Angiulli, Fabio Fassetti:
Uncertain distance-based outlier detection with arbitrarily shaped data objects. J. Intell. Inf. Syst. 57(1): 1-24 (2021) - [c64]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
ODCA: An Outlier Detection Approach to Deal with Correlated Attributes. DaWaK 2021: 180-191 - [c63]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
A Stochastic Block Model Based Approach to Detect Outliers in Networks. DEXA (1) 2021: 149-154 - [c62]Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò:
Local Interpretable Classifier Explanations with Self-generated Semantic Features. DS 2021: 401-410 - [c61]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Prospero Papaleo:
Meta-feature Extraction Strategies for Active Anomaly Detection. IDEAL 2021: 406-414 - [c60]Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò:
Finding Local Explanations Through Masking Models. IDEAL 2021: 467-475 - 2020
- [j38]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
Reducing distance computations for distance-based outliers. Expert Syst. Appl. 147: 113215 (2020) - [j37]Fabrizio Angiulli:
CFOF: A Concentration Free Measure for Anomaly Detection. ACM Trans. Knowl. Discov. Data 14(1): 4:1-4:53 (2020) - [c59]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution. DS 2020: 596-611 - [c58]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao:
Detecting and Explaining Exceptional Values in Categorical Data. SEBD 2020: 40-47
2010 – 2019
- 2019
- [c57]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao:
A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data. DS 2019: 319-334 - [c56]Angelo Furfaro, Luciano Argento, Domenico Saccà, Fabrizio Angiulli, Fabio Fassetti:
An Infrastructure for Service Accountability based on Digital Identity and Blockchain 3.0. INFOCOM Workshops 2019: 632-637 - [r2]Fabrizio Angiulli:
Data Mining: Outlier Detection. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 456-462 - [i9]Fabrizio Angiulli:
CFOF: A Concentration Free Measure for Anomaly Detection. CoRR abs/1901.04992 (2019) - 2018
- [j36]Fabrizio Angiulli, Estela Narvaez:
Pruning strategies for nearest neighbor competence preservation learners. Neurocomputing 308: 8-20 (2018) - [j35]Fabrizio Angiulli, Luciano Argento, Angelo Furfaro, Andrea Parise:
A hierarchical hybrid framework for modelling anomalous behaviours. Simul. Model. Pract. Theory 82: 103-115 (2018) - [j34]Fabrizio Angiulli, Luciano Argento, Angelo Furfaro:
Exploiting Content Spatial Distribution to Improve Detection of Intrusions. ACM Trans. Internet Techn. 18(2): 25:1-25:21 (2018) - [c55]Fabrizio Angiulli, Fabio Fassetti, Angelo Furfaro, Antonio Piccolo, Domenico Saccà:
Achieving Service Accountability Through Blockchain and Digital Identity. CAiSE Forum 2018: 16-23 - [c54]Fabrizio Angiulli, Luciano Argento, Angelo Furfaro:
Effectiveness of Content Spatial Distribution Analysis in Securing IoT Environments. FiCloud 2018: 41-46 - [c53]Luciano Argento, Fabrizio Angiulli, Angelo Furfaro:
Detection, Prevention and Simulation Approaches to Address Anomalies in Cyber Security. SEBD 2018 - [p1]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Domenico Ursino:
A Tour from Regularities to Exceptions. A Comprehensive Guide Through the Italian Database Research 2018: 307-322 - 2017
- [j33]Fabrizio Angiulli, Fabio Fassetti, Giuseppe Manco, Luigi Palopoli:
Outlying property detection with numerical attributes. Data Min. Knowl. Discov. 31(1): 134-163 (2017) - [j32]Fabrizio Angiulli:
On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness. J. Mach. Learn. Res. 18: 170:1-170:60 (2017) - [c52]Rachel Ben-Eliyahu-Zohary, Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Modular Construction of Minimal Models. LPNMR 2017: 43-48 - [c51]Fabrizio Angiulli:
Concentration Free Outlier Detection. ECML/PKDD (1) 2017: 3-19 - 2016
- [j31]Fabrizio Angiulli, Fabio Fassetti:
Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure. ACM Trans. Knowl. Discov. Data 10(3): 27:1-27:26 (2016) - [j30]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
GPU Strategies for Distance-Based Outlier Detection. IEEE Trans. Parallel Distributed Syst. 27(11): 3256-3268 (2016) - [c50]Fabrizio Angiulli, Fabio Fassetti, Estela Narvaez:
Anomaly Detection in Networks with Temporal Information. DS 2016: 359-375 - [c49]Rachel Ben-Eliyahu-Zohary, Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Decomposing Minimal Models. KnowProS@IJCAI 2016 - 2015
- [j29]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Restricted default theories: Expressive power and outlier detection tasks. Theor. Comput. Sci. 564: 107-130 (2015) - [c48]Fabrizio Angiulli, Estela Narvaez:
Pruning Nearest Neighbor Competence Preservation Learners. ICTAI 2015: 943-949 - [c47]Fabrizio Angiulli, Luciano Argento, Angelo Furfaro:
Exploiting N-Gram Location for Intrusion Detection. ICTAI 2015: 1093-1098 - [c46]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli:
Exploiting the HEF property to check model minimality. SEBD 2015: 351-357 - 2014
- [j28]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli:
On the tractability of minimal model computation for some CNF theories. Artif. Intell. 210: 56-77 (2014) - [j27]Fabrizio Angiulli, Fabio Fassetti:
Exploiting domain knowledge to detect outliers. Data Min. Knowl. Discov. 28(2): 519-568 (2014) - [c45]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
Accelerating outlier detection with intra- and inter-node parallelism. HPCS 2014: 476-483 - [i8]Fabrizio Angiulli, Luciano Argento, Angelo Furfaro:
PCkAD: an unsupervised intrusion detection technique exploiting within payload n-gram location distribution. CoRR abs/1412.3664 (2014) - 2013
- [j26]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 7(2): 77-89 (2013) - [j25]Fabrizio Angiulli, Fabio Fassetti:
Nearest Neighbor-Based Classification of Uncertain Data. ACM Trans. Knowl. Discov. Data 7(1): 1:1-1:35 (2013) - [j24]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Discovering Characterizations of the Behavior of Anomalous Subpopulations. IEEE Trans. Knowl. Data Eng. 25(6): 1280-1292 (2013) - [j23]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
Distributed Strategies for Mining Outliers in Large Data Sets. IEEE Trans. Knowl. Data Eng. 25(7): 1520-1532 (2013) - [c44]Fabrizio Angiulli, Fabio Fassetti:
Outlier Detection with Arbitrary Probability Functions. AI*IA 2013: 421-432 - [c43]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
Fast outlier detection using a GPU. HPCS 2013: 143-150 - [c42]Fabrizio Angiulli, Luigi Palopoli:
Outlier detection: tasks and techniques. SEBD 2013: 1-2 - [c41]Fabrizio Angiulli, Fabio Fassetti:
Principal Directions-Based Pivot Placement. SISAP 2013: 85-90 - [i7]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Giuseppe Manco:
Outlying Property Detection with Numerical Attributes. CoRR abs/1306.3558 (2013) - [i6]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli:
On the Tractability of Minimal Model Computation for Some CNF Theories. CoRR abs/1310.8120 (2013) - 2012
- [j22]Fabrizio Angiulli:
Prototype-Based Domain Description for One-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1131-1144 (2012) - [j21]Fabrizio Angiulli, Fabio Fassetti:
Indexing Uncertain Data in General Metric Spaces. IEEE Trans. Knowl. Data Eng. 24(9): 1640-1657 (2012) - 2011
- [i5]Fabrizio Angiulli, Fabio Fassetti:
Uncertain Nearest Neighbor Classification. CoRR abs/1108.2054 (2011) - [i4]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Tractable Strong Outlier Identification. CoRR abs/1109.4623 (2011) - 2010
- [j20]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Outlier detection for simple default theories. Artif. Intell. 174(15): 1247-1253 (2010) - [j19]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Detecting and repairing anomalous evolutions in noisy environments - Logic programming formalization and complexity results. Ann. Math. Artif. Intell. 60(3-4): 179-228 (2010) - [j18]Fabrizio Angiulli, Fabio Fassetti:
Distance-based outlier queries in data streams: the novel task and algorithms. Data Min. Knowl. Discov. 20(2): 290-324 (2010) - [j17]Fabrizio Angiulli, Annabella Astorino:
Scaling up support vector machines using nearest neighbor condensation. IEEE Trans. Neural Networks 21(2): 351-357 (2010) - [c40]Fabrizio Angiulli, Elio Masciari:
Effectively Monitoring RFID Based Systems. ADBIS 2010: 31-45 - [c39]Elio Masciari, Fabrizio Angiulli:
SMART: Simple Monitoring Enterprise Activities by RFID Tags. CAiSE Forum 2010 - [c38]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
A Distributed Approach to Detect Outliers in Very Large Data Sets. Euro-Par (1) 2010: 329-340 - [c37]Fabio Fassetti, Fabrizio Angiulli:
Finding Distance-based Outliers in Subspaces through Both Positive and Negative Examples. ICAART (1) 2010: 5-10 - [c36]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Domenico Trimboli:
Detection of Discriminating Rules. ICAART (1) 2010: 169-177
2000 – 2009
- 2009
- [j16]Fabrizio Angiulli, Fabio Fassetti:
DOLPHIN: An efficient algorithm for mining distance-based outliers in very large datasets. ACM Trans. Knowl. Discov. Data 3(1): 4:1-4:57 (2009) - [j15]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Detecting outlying properties of exceptional objects. ACM Trans. Database Syst. 34(1): 7:1-7:62 (2009) - [c35]Fabrizio Angiulli, Fabio Fassetti:
Outlier Detection Using Inductive Logic Programming. ICDM 2009: 693-698 - [r1]Fabrizio Angiulli:
Outlier Detection Techniques for Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1483-1488 - 2008
- [j14]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Outlier detection using default reasoning. Artif. Intell. 172(16-17): 1837-1872 (2008) - [j13]Fabrizio Angiulli, Eugenio Cesario, Clara Pizzuti:
Random walk biclustering for microarray data. Inf. Sci. 178(6): 1479-1497 (2008) - [c34]Fabrizio Angiulli:
Prototype-based Domain Description. ECAI 2008: 107-111 - [c33]Fabrizio Angiulli, Gianluigi Folino:
A grid-based architecture for nearest neighbor based condensation of huge datasets. UPGRADE-CN 2008: 13-20 - [c32]Fabrizio Angiulli, Stefano Basta:
Optimal Subset Selection for Classification through SAT Encodings. IFIP AI 2008: 309-318 - [c31]Fabrizio Angiulli, Fabio Fassetti:
An Efficient Method for Outlier Detection. SEBD 2008: 326-333 - [c30]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
An Unsupervised Outlier Detection Approach for Cleaning String Data Entries. SEBD 2008: 358-365 - 2007
- [j12]Fabrizio Angiulli:
Condensed Nearest Neighbor Data Domain Description. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1746-1758 (2007) - [j11]Fabrizio Angiulli:
Fast Nearest Neighbor Condensation for Large Data Sets Classification. IEEE Trans. Knowl. Data Eng. 19(11): 1450-1464 (2007) - [j10]Fabrizio Angiulli, Gianluigi Folino:
Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets. IEEE Trans. Knowl. Data Eng. 19(12): 1593-1606 (2007) - [j9]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Outlier detection by logic programming. ACM Trans. Comput. Log. 9(1): 7 (2007) - [c29]Fabrizio Angiulli, Fabio Fassetti:
Very efficient mining of distance-based outliers. CIKM 2007: 791-800 - [c28]Fabrizio Angiulli, Fabio Fassetti:
Detecting distance-based outliers in streams of data. CIKM 2007: 811-820 - [c27]Fabrizio Angiulli, Gianluigi Folino:
Efficient Distributed Data Condensation for Nearest Neighbor Classification. Euro-Par 2007: 338-347 - [c26]Fabrizio Angiulli, Valeria Fionda, Simona E. Rombo:
Protein Data Condensation for Effective Quaternary Structure Classification. IDEAL 2007: 810-820 - [c25]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli, Domenico Trimboli:
The LP-OD System: Logic Programming Meets Outlier Detection. LPNMR 2007: 254-259 - 2006
- [j8]Fabrizio Angiulli, Stefano Basta, Clara Pizzuti:
Distance-Based Detection and Prediction of Outliers. IEEE Trans. Knowl. Data Eng. 18(2): 145-160 (2006) - [c24]Fabrizio Angiulli:
Clustering by Exceptions. AAAI 2006: 312-317 - [c23]Fabrizio Angiulli, Eugenio Cesario, Clara Pizzuti:
A Greedy Search Approach to Co-clustering Sparse Binary Matrices. ICTAI 2006: 363-370 - [c22]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Detecting and Repairing Anomalous Evolutions in Noisy Environments: Logic Programming Formalization and Complexity Results. IFIP AI 2006: 41-50 - [c21]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Un Metodo per la Scoperta di Proprietà Inattese. SEBD 2006: 321-328 - 2005
- [j7]Fabrizio Angiulli:
Enumerating consistent metaquery instantiations. AI Commun. 18(2): 117-141 (2005) - [j6]Fabrizio Angiulli, Clara Pizzuti:
An approximate algorithm for top-k closest pairs join query in large high dimensional data. Data Knowl. Eng. 53(3): 263-281 (2005) - [j5]Fabrizio Angiulli, Clara Pizzuti:
Approximate k-Closest-Pairs in Large High-Dimensional Data Sets. J. Math. Model. Algorithms 4(2): 149-179 (2005) - [j4]Fabrizio Angiulli, Clara Pizzuti:
Outlier Mining in Large High-Dimensional Data Sets. IEEE Trans. Knowl. Data Eng. 17(2): 203-215 (2005) - [c20]Fabrizio Angiulli, Clara Pizzuti:
Gene Expression Biclustering Using Random Walk Strategies. DaWaK 2005: 509-519 - [c19]Fabrizio Angiulli:
Fast condensed nearest neighbor rule. ICML 2005: 25-32 - [c18]Fabrizio Angiulli:
Condensed Nearest Neighbor Data Domain Description. IDA 2005: 12-23 - [c17]Fabrizio Angiulli, Stefano Basta, Clara Pizzuti:
Detection and prediction of distance-based outliers. SAC 2005: 537-542 - 2004
- [j3]Fabrizio Angiulli, Giovambattista Ianni, Luigi Palopoli:
On the complexity of inducing categorical and quantitative association rules. Theor. Comput. Sci. 314(1-2): 217-249 (2004) - [c16]Fabrizio Angiulli, Stefano Basta, Clara Pizzuti:
Improving Prediction of Distance-Based Outliers. Discovery Science 2004: 89-100 - [c15]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Detecting Outliers via Logical Theories and Its Data Complexity. Discovery Science 2004: 101-113 - [c14]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Luigi Palopoli:
Outlier Detection Using Disjunctive Logic Programming. ECAI 2004: 416-419 - [c13]Fabrizio Angiulli, Clara Pizzuti, Massimo Ruffolo:
DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets. IDEAL 2004: 203-210 - [c12]Fabrizio Angiulli, Clara Pizzuti:
Top-k Closest Pairs Join Query: An Approximate Algorithm for Large High Dimensional Data. IDEAS 2004: 103-110 - [c11]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Discovering Anomalies in Evidential Knowledge by Logic Programming. JELIA 2004: 578-590 - [i3]Fabrizio Angiulli, Gianluigi Greco, Luigi Palopoli:
Outlier Detection by Logic Programming. CoRR cs.AI/0409019 (2004) - 2003
- [j2]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Giovambattista Ianni, Luigi Palopoli:
Computational properties of metaquerying problems. ACM Trans. Comput. Log. 4(2): 149-180 (2003) - [c10]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary:
Exploiting Default Logic to Detect Outliers. APPIA-GULP-PRODE 2003: 86-96 - [c9]