Efficient discovery of loosely structured motifs in biological data. - Fabio Fassetti; Gianluigi Greco; Giorgio Terracina (SAC, 2006)

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

Approximate Functional Dependencies for XML Data. - Fabio Fassetti; Bettina Fazzinga (ADBIS Research Communications, 2007)

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)

FOX: Inference of Approximate Functional Dependencies from XML Data. - Fabio Fassetti; Bettina Fazzinga (DEXA Workshops, 2007)

L-SME: A Tool for the Efficient Discovery of Loosely Structured Motifs in Biological Data. - Fabio Fassetti; Gianluigi Greco; Giorgio Terracina (SEBD, 2007)

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)

Mining Loosely Structured Motifs from Biological Data. - Fabio Fassetti; Gianluigi Greco; Giorgio Terracina (IEEE Trans. Knowl. Data Eng., 2008)

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

High Quality True-Positive Prediction for Fiscal Fraud Detection. - Stefano Basta; Fabio Fassetti; Massimo Guarascio 001; Giuseppe Manco 001; Fosca Giannotti; Dino Pedreschi; Laura Spinsanti; Gianfilippo Papi; Stefano Pisani (ICDM Workshops, 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)

IP6K Gene Discovery in Plant mtDNA. - Fabio Fassetti; Ofelia Leone; Luigi Palopoli 001; Simona E. Rombo; Adolfo Saiardi (CIBB, 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)

Mining models of exceptional objects through rule learning. - Gianni Costa; Fabio Fassetti; Massimo Guarascio 001; Giuseppe Manco 001; Riccardo Ortale (SAC, 2010)

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

On the complexity of identifying head-elementary-set-free programs. - Fabio Fassetti; Luigi Palopoli 001 (Theory Pract. Log. Program., 2010)

L-SME: A System for Mining Loosely Structured Motifs. - Fabio Fassetti; Gianluigi Greco; Giorgio Terracina (ECML/PKDD (3), 2011)

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

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)

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

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

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

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)

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

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

Discovering New Proteins in Plant Mitochondria by RNA Editing Simulation. - Fabio Fassetti; Claudia Giallombardo; Ofelia Leone; Luigi Palopoli 001; Simona E. Rombo; Adolfo Saiardi (BIOINFORMATICS, 2016)

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)

Discovering discriminative graph patterns from gene expression data. - Fabio Fassetti; Simona E. Rombo; Cristina Serrao (SAC, 2016)

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

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

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

Automatic simulation of RNA editing in plants for the identification of novel putative Open Reading Frames. - Fabio Fassetti; Claudia Giallombardo; Ofelia Leone; Luigi Palopoli 001; Simona E. Rombo; Pierluigi Ruffolo; Adolfo Saiardi (PeerJ Prepr., 2017)

Discriminative Pattern Discovery on Biological Networks - Fabio Fassetti; Simona E. Rombo; Cristina Serrao (Springer, 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)

Contributions from ADBIS 2018 Workshops. - Udo Bub; Ajantha Dahanayake; Jérôme Darmont; Claudia Diamantini; Fabio Fassetti; Eduardo Fermé; Nadia Kabachi; Ilaria Matteucci; Bálint Molnár; Sham Navathe; Ermelinda Oro; Marinella Petrocchi; et al. (ADBIS (Short Papers and Workshops), 2018)

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

Mining string patterns for individuating reading pathologies. - Fabio Fassetti; Ilaria Fassetti (SAC, 2018)

Learning and Detecting Stuttering Disorders. - Fabio Fassetti; Ilaria Fassetti; Simona Nisticò (AIAI, 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)

FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c →u RNA editing. - Fabio Fassetti; Claudia Giallombardo; Ofelia Leone; Luigi Palopoli 001; Simona E. Rombo; Adolfo Saiardi (BMC Bioinform., 2019)

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

A Machine Learning Model to Detect Speech and Reading Pathologies. - Fabio Fassetti; Ilaria Fassetti (AIAI (2), 2020)

An Automatic Tool For Language Evaluation. - Fabio Fassetti; Ilaria Fassetti (LREC, 2020)

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

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)

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)

A density estimation approach for detecting and explaining exceptional values in categorical data. - Fabrizio Angiulli; Fabio Fassetti; Luigi Palopoli 001; Cristina Serrao (Appl. 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)

Discriminative pattern discovery for the characterization of different network populations. - Fabio Fassetti; Simona E. Rombo; Cristina Serrao (Bioinform., 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)

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