Fabio Fassetti
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
16
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DIS | Explaining Anomalous Data with Reinforcement Learning. | Simone Amirato, Fabrizio Angiulli, Fabio Fassetti |
| 2025 | SISAP | CF-OOD: Concentration-Free Density Estimation for Reliable Out-of-Distribution Detection. | Fabrizio Angiulli, Fabio Fassetti, Maria Pia Zupi |
| 2024 | DIS | Large Language Models-Based Local Explanations of Text Classifiers. | Fabrizio Angiulli, Francesco De Luca, Fabio Fassetti, Simona Nistic |
| 2024 | IDEAL | Indecision-Aware Deep Active Anomaly Detection. | Simone Amirato, Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina |
| 2023 | DIS | Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. | Fabrizio Angiulli, Fabio Fassetti, Simona Nistic, Luigi Palopoli |
| 2022 | ADBIS | Outlier Explanation Through Masking Models. | Fabrizio Angiulli, Fabio Fassetti, Simona Nistic, Luigi Palopoli |
| 2022 | ADBIS | CiteRank: A Method to Evaluate Researchers Influence Based on Citation and Collaboration Networks. | Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao |
| 2022 | DIS | Cooperative Deep Unsupervised Anomaly Detection. | Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Rosaria Spada |
| 2022 | ISMIS | Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings. | Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina |
| 2022 | ISMIS | A Semi-automatic Data Generator for Query Answering. | Fabrizio Angiulli, Alessandra Del Prete, Fabio Fassetti, Simona Nistic |
| 2021 | DaWaK | ODCA: An Outlier Detection Approach to Deal with Correlated Attributes. | Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao |
| 2021 | DEXA | A Stochastic Block Model Based Approach to Detect Outliers in Networks. | Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao |
| 2021 | DIS | Local Interpretable Classifier Explanations with Self-generated Semantic Features. | Fabrizio Angiulli, Fabio Fassetti, Simona Nistic |
| 2021 | IDEAL | Meta-feature Extraction Strategies for Active Anomaly Detection. | Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Prospero Papaleo |
| 2021 | IDEAL | Finding Local Explanations Through Masking Models. | Fabrizio Angiulli, Fabio Fassetti, Simona Nistic |
| 2020 | DIS | Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution. | Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina |
| 2020 | LREC | An Automatic Tool For Language Evaluation. | Fabio Fassetti, Ilaria Fassetti |
| 2019 | DIS | A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data. | Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao |
| 2019 | INFOCOM | An Infrastructure for Service Accountability based on Digital Identity and Blockchain 3.0. | Angelo Furfaro, Luciano Argento, Domenico Sacc, Fabrizio Angiulli, Fabio Fassetti |
| 2018 | ADBIS | Contributions from ADBIS 2018 Workshops. | Udo Bub, Ajantha Dahanayake, Jrme Darmont, Claudia Diamantini, Fabio Fassetti, Eduardo Ferm, Nadia Kabachi, Ilaria Matteucci, Blint Molnr, Sham Navathe, Ermelinda Oro, Marinella Petrocchi, Simona E. Rombo, Massimo Ruffolo, Angelo Spognardi, Bernhard Thalheim, Domenico Ursino |
| 2018 | CaiSE | Achieving Service Accountability Through Blockchain and Digital Identity. | Fabrizio Angiulli, Fabio Fassetti, Angelo Furfaro, Antonio Piccolo, Domenico Sacc |
| 2018 | SAC | Mining string patterns for individuating reading pathologies. | Fabio Fassetti, Ilaria Fassetti |
| 2017 | LPNMR | Modular Construction of Minimal Models. | Rachel Ben-Eliyahu-Zohary, Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli |
| 2016 | DIS | Anomaly Detection in Networks with Temporal Information. | Fabrizio Angiulli, Fabio Fassetti, Estela Narvaez |
| 2016 | IJCAI | Decomposing Minimal Models. | Rachel Ben-Eliyahu-Zohary, Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli |
| 2016 | SAC | Discovering discriminative graph patterns from gene expression data. | Fabio Fassetti, Simona E. Rombo, Cristina Serrao |
| 2013 | SISAP | Principal Directions-Based Pivot Placement. | Fabrizio Angiulli, Fabio Fassetti |
| 2010 | ICAART | Detection of Discriminating Rules. | Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Domenico Trimboli |
| 2010 | ICAART | Finding Distance-based Outliers in Subspaces through Both Positive and Negative Examples. | Fabio Fassetti, Fabrizio Angiulli |
| 2010 | SAC | Mining models of exceptional objects through rule learning. | Gianni Costa, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Riccardo Ortale |
| 2009 | ICDM | Outlier Detection Using Inductive Logic Programming. | Fabrizio Angiulli, Fabio Fassetti |
| 2009 | ICDM | High Quality True-Positive Prediction for Fiscal Fraud Detection. | Stefano Basta, Fabio Fassetti, Massimo Guarascio, Giuseppe Manco, Fosca Giannotti, Dino Pedreschi, Laura Spinsanti, Gianfilippo Papi, Stefano Pisani |
| 2007 | ADBIS | Approximate Functional Dependencies for XML Data. | Fabio Fassetti, Bettina Fazzinga |
| 2007 | CIKM | Very efficient mining of distance-based outliers. | Fabrizio Angiulli, Fabio Fassetti |
| 2007 | CIKM | Detecting distance-based outliers in streams of data. | Fabrizio Angiulli, Fabio Fassetti |
| 2006 | SAC | Efficient discovery of loosely structured motifs in biological data. | Fabio Fassetti, Gianluigi Greco, Giorgio Terracina |