Collegamento di Basi di Dati Orientate agli Oggetti a Basi di Dati Relazionali Remote. - Fabrizio Angiulli; Nicola Leone; Fabio Messina; Massimo Romeo (SEBD, 1994)

The GPR System: an Architecture for Integrating Active and Deductive Rules. - Fabrizio Angiulli; F. De Marte; Luigi Palopoli 001; Riccardo Torlone (SEBD, 1995)

THE GPR System: An Architecture for Integrating Active and Deductive Rules on Complex Database Objects. - Fabrizio Angiulli; Luigi Palopoli 001; Riccardo Torlone (Theory Pract. Object Syst., 1997)

Computational Properties of Metaquerying Problems. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Giovambattista Ianni; Luigi Palopoli 001 (PODS, 2000)

Metaquerying: proprietà e tecniche di implementazione. - Fabrizio Angiulli; Giovambattista Ianni; Luigi Palopoli 001 (SEBD, 2000)

On the Complexity of Mining Association Rules. - Fabrizio Angiulli; Giovambattista Ianni; Luigi Palopoli 001 (SEBD, 2001)

Approximate k -Closest-Pairs with Space Filling Curves. - Fabrizio Angiulli; Clara Pizzuti (DaWaK, 2002)

Fast Outlier Detection in High Dimensional Spaces. - Fabrizio Angiulli; Clara Pizzuti (PKDD, 2002)

Exploiting Default Logic to Detect Outliers. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary (APPIA-GULP-PRODE, 2003)

Outlier Detection Using Default Logic. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Luigi Palopoli 001 (Answer Set Programming, 2003)

Improving Prediction of Distance-Based Outliers. - Fabrizio Angiulli; Stefano Basta; Clara Pizzuti (Discovery Science, 2004)

Detecting Outliers via Logical Theories and Its Data Complexity. - Fabrizio Angiulli; Gianluigi Greco; Luigi Palopoli 001 (Discovery Science, 2004)

Outlier Detection Using Disjunctive Logic Programming. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Luigi Palopoli 001 (ECAI, 2004)

DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets. - Fabrizio Angiulli; Clara Pizzuti; Massimo Ruffolo (IDEAL, 2004)

Top-k Closest Pairs Join Query: An Approximate Algorithm for Large High Dimensional Data. - Fabrizio Angiulli; Clara Pizzuti (IDEAS, 2004)

Discovering Anomalies in Evidential Knowledge by Logic Programming. - Fabrizio Angiulli; Gianluigi Greco; Luigi Palopoli 001 (JELIA, 2004)

On the complexity of inducing categorical and quantitative association rules. - Fabrizio Angiulli; Giovambattista Ianni; Luigi Palopoli 001 (Theor. Comput. Sci., 2004)

Gene Expression Biclustering Using Random Walk Strategies. - Fabrizio Angiulli; Clara Pizzuti (DaWaK, 2005)

Fast condensed nearest neighbor rule. - Fabrizio Angiulli (ICML, 2005)

Condensed Nearest Neighbor Data Domain Description. - Fabrizio Angiulli (IDA, 2005)

Detection and prediction of distance-based outliers. - Fabrizio Angiulli; Stefano Basta; Clara Pizzuti (SAC, 2005)

Enumerating consistent metaquery instantiations. - Fabrizio Angiulli (AI Commun., 2005)

An approximate algorithm for top-k closest pairs join query in large high dimensional data. - Fabrizio Angiulli; Clara Pizzuti (Data Knowl. Eng., 2005)

Approximate k-Closest-Pairs in Large High-Dimensional Data Sets. - Fabrizio Angiulli; Clara Pizzuti (J. Math. Model. Algorithms, 2005)

Outlier Mining in Large High-Dimensional Data Sets. - Fabrizio Angiulli; Clara Pizzuti (IEEE Trans. Knowl. Data Eng., 2005)

Clustering by Exceptions. - Fabrizio Angiulli (AAAI, 2006)

A Greedy Search Approach to Co-clustering Sparse Binary Matrices. - Fabrizio Angiulli; Eugenio Cesario; Clara Pizzuti (ICTAI, 2006)

Detecting and Repairing Anomalous Evolutions in Noisy Environments: Logic Programming Formalization and Complexity Results. - Fabrizio Angiulli; Gianluigi Greco; Luigi Palopoli 001 (IFIP AI, 2006)

Un Metodo per la Scoperta di Proprietà Inattese. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001 (SEBD, 2006)

Distance-Based Detection and Prediction of Outliers. - Fabrizio Angiulli; Stefano Basta; Clara Pizzuti (IEEE Trans. Knowl. Data Eng., 2006)

Very efficient mining of distance-based outliers. - Fabrizio Angiulli; Fabio Fassetti (CIKM, 2007)

Detecting distance-based outliers in streams of data. - Fabrizio Angiulli; Fabio Fassetti (CIKM, 2007)

Efficient Distributed Data Condensation for Nearest Neighbor Classification. - Fabrizio Angiulli; Gianluigi Folino (Euro-Par, 2007)

Protein Data Condensation for Effective Quaternary Structure Classification. - Fabrizio Angiulli; Valeria Fionda; Simona E. Rombo (IDEAL, 2007)

The LP-OD System: Logic Programming Meets Outlier Detection. - Fabrizio Angiulli; Gianluigi Greco; Luigi Palopoli 001; Domenico Trimboli (LPNMR, 2007)

Fast Nearest Neighbor Condensation for Large Data Sets Classification. - Fabrizio Angiulli (IEEE Trans. Knowl. Data Eng., 2007)

Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets. - Fabrizio Angiulli; Gianluigi Folino (IEEE Trans. Knowl. Data Eng., 2007)

Outlier detection by logic programming. - Fabrizio Angiulli; Gianluigi Greco; Luigi Palopoli 001 (ACM Trans. Comput. Log., 2007)

Prototype-based Domain Description. - Fabrizio Angiulli (ECAI, 2008)

A grid-based architecture for nearest neighbor based condensation of huge datasets. - Fabrizio Angiulli; Gianluigi Folino (UPGRADE-CN, 2008)

Optimal Subset Selection for Classification through SAT Encodings. - Fabrizio Angiulli; Stefano Basta (IFIP AI, 2008)

An Efficient Method for Outlier Detection. - Fabrizio Angiulli; Fabio Fassetti (SEBD, 2008)

An Unsupervised Outlier Detection Approach for Cleaning String Data Entries. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001 (SEBD, 2008)

Outlier detection using default reasoning. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Luigi Palopoli 001 (Artif. Intell., 2008)

Random walk biclustering for microarray data. - Fabrizio Angiulli; Eugenio Cesario; Clara Pizzuti (Inf. Sci., 2008)

Outlier Detection Using Inductive Logic Programming. - Fabrizio Angiulli; Fabio Fassetti (ICDM, 2009)

DOLPHIN: An efficient algorithm for mining distance-based outliers in very large datasets. - Fabrizio Angiulli; Fabio Fassetti (ACM Trans. Knowl. Discov. Data, 2009)

Detecting outlying properties of exceptional objects. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001 (ACM Trans. Database Syst., 2009)

Outlier Detection Techniques for Data Mining. - Fabrizio Angiulli (Encyclopedia of Data Warehousing and Mining, 2009)

Effectively Monitoring RFID Based Systems. - Fabrizio Angiulli; Elio Masciari (ADBIS, 2010)

SMART: Simple Monitoring Enterprise Activities by RFID Tags. - Elio Masciari; Fabrizio Angiulli (CAiSE Forum, 2010)

A Distributed Approach to Detect Outliers in Very Large Data Sets. - Fabrizio Angiulli; Stefano Basta; Stefano Lodi; Claudio Sartori 001 (Euro-Par (1), 2010)

Detection of Discriminating Rules. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001; Domenico Trimboli (ICAART (1), 2010)

Finding Distance-based Outliers in Subspaces through Both Positive and Negative Examples. - Fabio Fassetti; Fabrizio Angiulli (ICAART (1), 2010)

Outlier detection for simple default theories. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Luigi Palopoli 001 (Artif. Intell., 2010)

Distance-based outlier queries in data streams: the novel task and algorithms. - Fabrizio Angiulli; Fabio Fassetti (Data Min. Knowl. Discov., 2010)

Scaling up support vector machines using nearest neighbor condensation. - Fabrizio Angiulli; Annabella Astorino (IEEE Trans. Neural Networks, 2010)

Uncertain Nearest Neighbor Classification - Fabrizio Angiulli; Fabio Fassetti (CoRR, 2011)

Tractable Strong Outlier Identification - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Luigi Palopoli 001 (CoRR, 2011)

Prototype-Based Domain Description for One-Class Classification. - Fabrizio Angiulli (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Indexing Uncertain Data in General Metric Spaces. - Fabrizio Angiulli; Fabio Fassetti (IEEE Trans. Knowl. Data Eng., 2012)

Outlier Detection with Arbitrary Probability Functions. - Fabrizio Angiulli; Fabio Fassetti (AI*IA, 2013)

Fast outlier detection using a GPU. - Fabrizio Angiulli; Stefano Basta; Stefano Lodi; Claudio Sartori 001 (HPCS, 2013)

Outlier detection: tasks and techniques. - Fabrizio Angiulli; Luigi Palopoli 001 (SEBD, 2013)

Principal Directions-Based Pivot Placement. - Fabrizio Angiulli; Fabio Fassetti (SISAP, 2013)

Italian Machine Learning and Data Mining research: The last years. - 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; et al. (Intelligenza Artificiale, 2013)

Nearest Neighbor-Based Classification of Uncertain Data. - Fabrizio Angiulli; Fabio Fassetti (ACM Trans. Knowl. Discov. Data, 2013)

Distributed Strategies for Mining Outliers in Large Data Sets. - Fabrizio Angiulli; Stefano Basta; Stefano Lodi; Claudio Sartori 001 (IEEE Trans. Knowl. Data Eng., 2013)

Discovering Characterizations of the Behavior of Anomalous Subpopulations. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001 (IEEE Trans. Knowl. Data Eng., 2013)

Accelerating outlier detection with intra- and inter-node parallelism. - Fabrizio Angiulli; Stefano Basta; Stefano Lodi; Claudio Sartori 001 (HPCS, 2014)

On the tractability of minimal model computation for some CNF theories. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Fabio Fassetti; Luigi Palopoli 001 (Artif. Intell., 2014)

PCkAD: an unsupervised intrusion detection technique exploiting within payload n-gram location distribution. - Fabrizio Angiulli; Luciano Argento; Angelo Furfaro (CoRR, 2014)

Exploiting domain knowledge to detect outliers. - Fabrizio Angiulli; Fabio Fassetti (Data Min. Knowl. Discov., 2014)

Exploiting N-Gram Location for Intrusion Detection. - Fabrizio Angiulli; Luciano Argento; Angelo Furfaro (ICTAI, 2015)

Pruning Nearest Neighbor Competence Preservation Learners. - Fabrizio Angiulli; Estela Narvaez (ICTAI, 2015)

Exploiting the HEF property to check model minimality. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Fabio Fassetti; Luigi Palopoli 001 (SEBD, 2015)

Restricted default theories: Expressive power and outlier detection tasks. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Luigi Palopoli 001 (Theor. Comput. Sci., 2015)

Anomaly Detection in Networks with Temporal Information. - Fabrizio Angiulli; Fabio Fassetti; Estela Narvaez (DS, 2016)

Decomposing Minimal Models. - Rachel Ben-Eliyahu-Zohary; Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001 (KnowProS@IJCAI, 2016)

Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure. - Fabrizio Angiulli; Fabio Fassetti (ACM Trans. Knowl. Discov. Data, 2016)

GPU Strategies for Distance-Based Outlier Detection. - Fabrizio Angiulli; Stefano Basta; Stefano Lodi; Claudio Sartori 001 (IEEE Trans. Parallel Distributed Syst., 2016)

Modular Construction of Minimal Models. - Rachel Ben-Eliyahu-Zohary; Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001 (LPNMR, 2017)

Concentration Free Outlier Detection. - Fabrizio Angiulli (ECML/PKDD (1), 2017)

Outlying property detection with numerical attributes. - Fabrizio Angiulli; Fabio Fassetti; Giuseppe Manco 001; Luigi Palopoli 001 (Data Min. Knowl. Discov., 2017)

On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness. - Fabrizio Angiulli (J. Mach. Learn. Res., 2017)

A Tour from Regularities to Exceptions. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001; Domenico Ursino (A Comprehensive Guide Through the Italian Database Research, 2018)

Achieving Service Accountability Through Blockchain and Digital Identity. - Fabrizio Angiulli; Fabio Fassetti; Angelo Furfaro; Antonio Piccolo; Domenico Saccà (CAiSE Forum, 2018)

Effectiveness of Content Spatial Distribution Analysis in Securing IoT Environments. - Fabrizio Angiulli; Luciano Argento; Angelo Furfaro (FiCloud, 2018)

Detection, Prevention and Simulation Approaches to Address Anomalies in Cyber Security. - Luciano Argento; Fabrizio Angiulli; Angelo Furfaro (SEBD, 2018)

Pruning strategies for nearest neighbor competence preservation learners. - Fabrizio Angiulli; Estela Narvaez (Neurocomputing, 2018)

A hierarchical hybrid framework for modelling anomalous behaviours. - Fabrizio Angiulli; Luciano Argento; Angelo Furfaro; Andrea Parise (Simul. Model. Pract. Theory, 2018)

Exploiting Content Spatial Distribution to Improve Detection of Intrusions. - Fabrizio Angiulli; Luciano Argento; Angelo Furfaro (ACM Trans. Internet Techn., 2018)

A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001; Cristina Serrao (DS, 2019)

An Infrastructure for Service Accountability based on Digital Identity and Blockchain 3.0. - Angelo Furfaro; Luciano Argento; Domenico Saccà; Fabrizio Angiulli; Fabio Fassetti (INFOCOM Workshops, 2019)

Data Mining: Outlier Detection. - Fabrizio Angiulli (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution. - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina (DS, 2020)

Detecting and Explaining Exceptional Values in Categorical Data. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001; Cristina Serrao (SEBD, 2020)

Reducing distance computations for distance-based outliers. - Fabrizio Angiulli; Stefano Basta; Stefano Lodi; Claudio Sartori 001 (Expert Syst. Appl., 2020)

CFOF: A Concentration Free Measure for Anomaly Detection. - Fabrizio Angiulli (ACM Trans. Knowl. Discov. Data, 2020)

ODCA: An Outlier Detection Approach to Deal with Correlated Attributes. - Fabrizio Angiulli; Fabio Fassetti; Cristina Serrao (DaWaK, 2021)

A Stochastic Block Model Based Approach to Detect Outliers in Networks. - Fabrizio Angiulli; Fabio Fassetti; Cristina Serrao (DEXA (1), 2021)

Local Interpretable Classifier Explanations with Self-generated Semantic Features. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò (DS, 2021)

Meta-feature Extraction Strategies for Active Anomaly Detection. - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina; Prospero Papaleo (IDEAL, 2021)

Finding Local Explanations Through Masking Models. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò (IDEAL, 2021)

Guest Editorial: Non-IID Outlier Detection in Complex Contexts. - Guansong Pang; Fabrizio Angiulli; Mihai Cucuringu; Huan Liu 001 (IEEE Intell. Syst., 2021)

Uncertain distance-based outlier detection with arbitrarily shaped data objects. - Fabrizio Angiulli; Fabio Fassetti (J. Intell. Inf. Syst., 2021)

Outlier Explanation Through Masking Models. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (ADBIS, 2022)

CiteRank: A Method to Evaluate Researchers Influence Based on Citation and Collaboration Networks. - Fabrizio Angiulli; Fabio Fassetti; Cristina Serrao (ADBIS (Short Papers), 2022)

Cooperative Deep Unsupervised Anomaly Detection. - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina; Rosaria Spada (DS, 2022)

Evaluating Deep Packet Inspection in Large-scale Data Processing. - Fabrizio Angiulli; Angelo Furfaro; Domenico Saccà; Ludovica Sacco (FiCloud, 2022)

Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings. - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina (ISMIS, 2022)

A Semi-automatic Data Generator for Query Answering. - Fabrizio Angiulli; Alessandra Del Prete; Fabio Fassetti; Simona Nisticò (ISMIS, 2022)

Graph-based construction of minimal models. - Fabrizio Angiulli; Rachel Ben-Eliyahu-Zohary; Fabio Fassetti; Luigi Palopoli 001 (Artif. Intell., 2022)

Mining sponge phenomena in RNA expression data. - Fabrizio Angiulli; Teresa Colombo; Fabio Fassetti; Angelo Furfaro; Paola Paci (J. Bioinform. Comput. Biol., 2022)

Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (DS, 2023)

Reconstruction Error-based Anomaly Detection with Few Outlying Examples. - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina (CoRR, 2023)

Anomaly detection with correlation laws. - Fabrizio Angiulli; Fabio Fassetti; Cristina Serrao (Data Knowl. Eng., 2023)

${{ mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution. - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina (Mach. Learn., 2023)

Large Language Models-Based Local Explanations of Text Classifiers. - Fabrizio Angiulli; Francesco De Luca; Fabio Fassetti; Simona Nisticó (DS (1), 2024)

A Lightweight Meta-Feature Extraction Strategy for Deep Reinforcement Anomaly Detection (SHORT PAPER). - Simone Amirato; Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina (GreenAI@AI*IA, 2024)

On the Environmental Impact of the Algorithm LatentOut for Unsupervised Anomaly Detection (SHORT PAPER). - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina (GreenAI@AI*IA, 2024)

Exploiting Outlier Explanation to Unveil Key-aspects of High Green Comparative Advantage Nations. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (GreenAI@AI*IA, 2024)

Indecision-Aware Deep Active Anomaly Detection. - Simone Amirato; Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina (IDEAL (2), 2024)

Enhancing anomaly detectors with LatentOut. - Fabrizio Angiulli; Fabio Fassetti; Luca Ferragina (J. Intell. Inf. Syst., 2024)

Explaining outliers and anomalous groups via subspace density contrastive loss. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (Mach. Learn., 2024)

Explaining Anomalous Data with Reinforcement Learning. - Simone Amirato; Fabrizio Angiulli; Fabio Fassetti (DS, 2025)

CF-OOD: Concentration-Free Density Estimation for Reliable Out-of-Distribution Detection. - Fabrizio Angiulli; Fabio Fassetti; Maria Pia Zupi (SISAP, 2025)

Explaining evolving outliers for uncovering key aspects of the green comparative advantage. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò; Luigi Palopoli 001 (Array, 2025)

Improving local interpretable classifier explanations exploiting self-generated semantic features. - Fabrizio Angiulli; Fabio Fassetti; Simona Nisticò (Neural Comput. Appl., 2025)