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Fabio Fassetti
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2020 – today
- 2024
- [j22]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Enhancing anomaly detectors with LatentOut. J. Intell. Inf. Syst. 62(4): 905-923 (2024) - [j21]Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò, Luigi Palopoli:
Explaining outliers and anomalous groups via subspace density contrastive loss. Mach. Learn. 113(10): 7565-7589 (2024) - [c46]Simone Amirato, Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Indecision-Aware Deep Active Anomaly Detection. IDEAL (2) 2024: 447-459 - 2023
- [j20]Fabio Fassetti
, Simona E. Rombo, Cristina Serrao:
Discriminative pattern discovery for the characterization of different network populations. Bioinform. 39(4) (2023) - [j19]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
Anomaly detection with correlation laws. Data Knowl. Eng. 145: 102181 (2023) - [j18]Fabrizio Angiulli
${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution. Mach. Learn. 112(11): 4323-4349 (2023) - [c45]Fabrizio Angiulli
Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. DS 2023: 159-173 - [i6]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Reconstruction Error-based Anomaly Detection with Few Outlying Examples. CoRR abs/2305.10464 (2023) - 2022
- [j17]Fabrizio Angiulli
Graph-based construction of minimal models. Artif. Intell. 313: 103754 (2022) - [j16]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) - [j15]Fabrizio Angiulli, Teresa Colombo, Fabio Fassetti
Mining sponge phenomena in RNA expression data. J. Bioinform. Comput. Biol. 20(1): 2150022:1-2150022:27 (2022) - [c44]Fabrizio Angiulli
Outlier Explanation Through Masking Models. ADBIS 2022: 392-406 - [c43]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 - [c42]Fabrizio Angiulli
Cooperative Deep Unsupervised Anomaly Detection. DS 2022: 318-328 - [c41]Fabrizio Angiulli, Alessandra Del Prete, Fabio Fassetti, Simona Nisticò
A Semi-automatic Data Generator for Query Answering. ISMIS 2022: 106-114 - [c40]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings. ISMIS 2022: 251-261 - 2021
- [j14]Fabrizio Angiulli
Uncertain distance-based outlier detection with arbitrarily shaped data objects. J. Intell. Inf. Syst. 57(1): 1-24 (2021) - [c39]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
ODCA: An Outlier Detection Approach to Deal with Correlated Attributes. DaWaK 2021: 180-191 - [c38]Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao:
A Stochastic Block Model Based Approach to Detect Outliers in Networks. DEXA (1) 2021: 149-154 - [c37]Fabrizio Angiulli
Local Interpretable Classifier Explanations with Self-generated Semantic Features. DS 2021: 401-410 - [c36]Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Prospero Papaleo:
Meta-feature Extraction Strategies for Active Anomaly Detection. IDEAL 2021: 406-414 - [c35]Fabrizio Angiulli
Finding Local Explanations Through Masking Models. IDEAL 2021: 467-475 - 2020
- [c34]Fabrizio Angiulli
Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution. DS 2020: 596-611 - [c33]Fabio Fassetti, Ilaria Fassetti:
A Machine Learning Model to Detect Speech and Reading Pathologies. AIAI (2) 2020: 135-142 - [c32]Fabio Fassetti, Ilaria Fassetti:
An Automatic Tool For Language Evaluation. LREC 2020: 1721-1726 - [c31]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao:
Detecting and Explaining Exceptional Values in Categorical Data. SEBD 2020: 40-47
2010 – 2019
- 2019
- [j13]Fabio Fassetti, Claudia Giallombardo, Ofelia Leone, Luigi Palopoli, Simona E. Rombo, Adolfo Saiardi
FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c →u RNA editing. BMC Bioinform. 20-S(4): 124:1-124:7 (2019) - [c30]Fabrizio Angiulli
A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data. DS 2019: 319-334 - [c29]Fabio Fassetti, Ilaria Fassetti, Simona Nisticò
Learning and Detecting Stuttering Disorders. AIAI 2019: 319-330 - [c28]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 - 2018
- [c27]Udo Bub, Ajantha Dahanayake, Jérôme Darmont, Claudia Diamantini, Fabio Fassetti, Eduardo Fermé
Contributions from ADBIS 2018 Workshops. ADBIS (Short Papers and Workshops) 2018: 91-102 - [c26]Fabrizio Angiulli, Fabio Fassetti, Angelo Furfaro
Achieving Service Accountability Through Blockchain and Digital Identity. CAiSE Forum 2018: 16-23 - [c25]Fabio Fassetti, Ilaria Fassetti:
Mining string patterns for individuating reading pathologies. SAC 2018: 1-5 - [p1]Fabrizio Angiulli
A Tour from Regularities to Exceptions. A Comprehensive Guide Through the Italian Database Research 2018: 307-322 - 2017
- [b1]Fabio Fassetti
Discriminative Pattern Discovery on Biological Networks. Springer Briefs in Computer Science, Springer 2017, ISBN 978-3-319-63476-0, pp. 3-45 - [j12]Fabrizio Angiulli
Outlying property detection with numerical attributes. Data Min. Knowl. Discov. 31(1): 134-163 (2017) - [c24]Rachel Ben-Eliyahu-Zohary, Fabrizio Angiulli
Modular Construction of Minimal Models. LPNMR 2017: 43-48 - [i5]Fabio Fassetti
Automatic simulation of RNA editing in plants for the identification of novel putative Open Reading Frames. PeerJ Prepr. 5: e3362 (2017) - 2016
- [j11]Fabrizio Angiulli
Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure. ACM Trans. Knowl. Discov. Data 10(3): 27:1-27:26 (2016) - [c23]Fabio Fassetti, Claudia Giallombardo, Ofelia Leone, Luigi Palopoli, Simona E. Rombo, Adolfo Saiardi
Discovering New Proteins in Plant Mitochondria by RNA Editing Simulation. BIOINFORMATICS 2016: 182-189 - [c22]Fabrizio Angiulli
Anomaly Detection in Networks with Temporal Information. DS 2016: 359-375 - [c21]Rachel Ben-Eliyahu-Zohary, Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Decomposing Minimal Models. KnowProS@IJCAI 2016 - [c20]Fabio Fassetti
Discovering discriminative graph patterns from gene expression data. SAC 2016: 23-30 - 2015
- [c19]Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti, Luigi Palopoli:
Exploiting the HEF property to check model minimality. SEBD 2015: 351-357 - 2014
- [j10]Fabrizio Angiulli
On the tractability of minimal model computation for some CNF theories. Artif. Intell. 210: 56-77 (2014) - [j9]Fabrizio Angiulli
Exploiting domain knowledge to detect outliers. Data Min. Knowl. Discov. 28(2): 519-568 (2014) - 2013
- [j8]Fabrizio Angiulli
Nearest Neighbor-Based Classification of Uncertain Data. ACM Trans. Knowl. Discov. Data 7(1): 1:1-1:35 (2013) - [j7]Fabrizio Angiulli
Discovering Characterizations of the Behavior of Anomalous Subpopulations. IEEE Trans. Knowl. Data Eng. 25(6): 1280-1292 (2013) - [c18]Fabrizio Angiulli
Outlier Detection with Arbitrary Probability Functions. AI*IA 2013: 421-432 - [c17]Fabrizio Angiulli
Principal Directions-Based Pivot Placement. SISAP 2013: 85-90 - [i4]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Giuseppe Manco:
Outlying Property Detection with Numerical Attributes. CoRR abs/1306.3558 (2013) - [i3]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
- [j6]Fabrizio Angiulli
Indexing Uncertain Data in General Metric Spaces. IEEE Trans. Knowl. Data Eng. 24(9): 1640-1657 (2012) - 2011
- [c16]Fabio Fassetti
L-SME: A System for Mining Loosely Structured Motifs. ECML/PKDD (3) 2011: 621-625 - [i2]Fabrizio Angiulli, Fabio Fassetti:
Uncertain Nearest Neighbor Classification. CoRR abs/1108.2054 (2011) - 2010
- [j5]Fabrizio Angiulli
Distance-based outlier queries in data streams: the novel task and algorithms. Data Min. Knowl. Discov. 20(2): 290-324 (2010) - [j4]Fabio Fassetti
On the complexity of identifying head-elementary-set-free programs. Theory Pract. Log. Program. 10(1): 113-123 (2010) - [c15]Fabio Fassetti
IP6K Gene Discovery in Plant mtDNA. CIBB 2010: 59-71 - [c14]Fabio Fassetti, Fabrizio Angiulli:
Finding Distance-based Outliers in Subspaces through Both Positive and Negative Examples. ICAART (1) 2010: 5-10 - [c13]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Domenico Trimboli:
Detection of Discriminating Rules. ICAART (1) 2010: 169-177 - [c12]Gianni Costa
Mining models of exceptional objects through rule learning. SAC 2010: 1078-1082
2000 – 2009
- 2009
- [j3]Fabrizio Angiulli
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) - [j2]Fabrizio Angiulli
Detecting outlying properties of exceptional objects. ACM Trans. Database Syst. 34(1): 7:1-7:62 (2009) - [c11]Stefano Basta
High Quality True-Positive Prediction for Fiscal Fraud Detection. ICDM Workshops 2009: 7-12 - [c10]Fabrizio Angiulli
Outlier Detection Using Inductive Logic Programming. ICDM 2009: 693-698 - [i1]Fabio Fassetti, Luigi Palopoli:
On the complexity of identifying Head Elementary Set Free programs. CoRR abs/0905.3802 (2009) - 2008
- [j1]Fabio Fassetti
Mining Loosely Structured Motifs from Biological Data. IEEE Trans. Knowl. Data Eng. 20(11): 1472-1489 (2008) - [c9]Fabrizio Angiulli, Fabio Fassetti:
An Efficient Method for Outlier Detection. SEBD 2008: 326-333 - [c8]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
An Unsupervised Outlier Detection Approach for Cleaning String Data Entries. SEBD 2008: 358-365 - 2007
- [c7]Fabio Fassetti, Bettina Fazzinga:
Approximate Functional Dependencies for XML Data. ADBIS Research Communications 2007 - [c6]Fabrizio Angiulli
Very efficient mining of distance-based outliers. CIKM 2007: 791-800 - [c5]Fabrizio Angiulli
Detecting distance-based outliers in streams of data. CIKM 2007: 811-820 - [c4]Fabio Fassetti
FOX: Inference of Approximate Functional Dependencies from XML Data. DEXA Workshops 2007: 10-14 - [c3]Fabio Fassetti, Gianluigi Greco, Giorgio Terracina:
L-SME: A Tool for the Efficient Discovery of Loosely Structured Motifs in Biological Data. SEBD 2007: 389-396 - 2006
- [c2]Fabio Fassetti, Gianluigi Greco, Giorgio Terracina:
Efficient discovery of loosely structured motifs in biological data. SAC 2006: 151-155 - [c1]Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli:
Un Metodo per la Scoperta di Proprietà Inattese. SEBD 2006: 321-328
Coauthor Index
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