Fabio Fassetti

Orcid: 0000-0002-8416-906X

According to our database1, Fabio Fassetti authored at least 71 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Explaining outliers and anomalous groups via subspace density contrastive loss.
Mach. Learn., October, 2024

Enhancing anomaly detectors with LatentOut.
J. Intell. Inf. Syst., August, 2024

2023
${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution.
Mach. Learn., November, 2023

Anomaly detection with correlation laws.
Data Knowl. Eng., May, 2023

Discriminative pattern discovery for the characterization of different network populations.
Bioinform., April, 2023

Reconstruction Error-based Anomaly Detection with Few Outlying Examples.
CoRR, 2023

Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss.
Proceedings of the Discovery Science - 26th International Conference, 2023

2022
Mining sponge phenomena in RNA expression data.
J. Bioinform. Comput. Biol., 2022

A density estimation approach for detecting and explaining exceptional values in categorical data.
Appl. Intell., 2022

Graph-based construction of minimal models.
Artif. Intell., 2022

A Semi-automatic Data Generator for Query Answering.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Cooperative Deep Unsupervised Anomaly Detection.
Proceedings of the Discovery Science - 25th International Conference, 2022

CiteRank: A Method to Evaluate Researchers Influence Based on Citation and Collaboration Networks.
Proceedings of the New Trends in Database and Information Systems, 2022

Outlier Explanation Through Masking Models.
Proceedings of the Advances in Databases and Information Systems, 2022

2021
Uncertain distance-based outlier detection with arbitrarily shaped data objects.
J. Intell. Inf. Syst., 2021

Finding Local Explanations Through Masking Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Meta-feature Extraction Strategies for Active Anomaly Detection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Local Interpretable Classifier Explanations with Self-generated Semantic Features.
Proceedings of the Discovery Science - 24th International Conference, 2021

A Stochastic Block Model Based Approach to Detect Outliers in Networks.
Proceedings of the Database and Expert Systems Applications, 2021

ODCA: An Outlier Detection Approach to Deal with Correlated Attributes.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020
Detecting and Explaining Exceptional Values in Categorical Data.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

An Automatic Tool For Language Evaluation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Machine Learning Model to Detect Speech and Reading Pathologies.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c →u RNA editing.
BMC Bioinform., 2019

An Infrastructure for Service Accountability based on Digital Identity and Blockchain 3.0.
Proceedings of the IEEE INFOCOM 2019, 2019

Learning and Detecting Stuttering Disorders.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018
Mining string patterns for individuating reading pathologies.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Achieving Service Accountability Through Blockchain and Digital Identity.
Proceedings of the Information Systems in the Big Data Era, 2018


A Tour from Regularities to Exceptions.
Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017
Discriminative Pattern Discovery on Biological Networks
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-63476-0, 2017

Automatic simulation of RNA editing in plants for the identification of novel putative Open Reading Frames.
PeerJ Prepr., 2017

Outlying property detection with numerical attributes.
Data Min. Knowl. Discov., 2017

Modular Construction of Minimal Models.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2017

2016
Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure.
ACM Trans. Knowl. Discov. Data, 2016

Discovering discriminative graph patterns from gene expression data.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Decomposing Minimal Models.
Proceedings of the Workshop on Knowledge-based Techniques for Problem Solving and Reasoning co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016

Anomaly Detection in Networks with Temporal Information.
Proceedings of the Discovery Science - 19th International Conference, 2016

Discovering New Proteins in Plant Mitochondria by RNA Editing Simulation.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Exploiting the HEF property to check model minimality.
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

2014
Exploiting domain knowledge to detect outliers.
Data Min. Knowl. Discov., 2014

On the tractability of minimal model computation for some CNF theories.
Artif. Intell., 2014

2013
Discovering Characterizations of the Behavior of Anomalous Subpopulations.
IEEE Trans. Knowl. Data Eng., 2013

Nearest Neighbor-Based Classification of Uncertain Data.
ACM Trans. Knowl. Discov. Data, 2013

Principal Directions-Based Pivot Placement.
Proceedings of the Similarity Search and Applications - 6th International Conference, 2013

Outlier Detection with Arbitrary Probability Functions.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

2012
Indexing Uncertain Data in General Metric Spaces.
IEEE Trans. Knowl. Data Eng., 2012

2011
Uncertain Nearest Neighbor Classification
CoRR, 2011

L-SME: A System for Mining Loosely Structured Motifs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010
On the complexity of identifying head-elementary-set-free programs.
Theory Pract. Log. Program., 2010

Distance-based outlier queries in data streams: the novel task and algorithms.
Data Min. Knowl. Discov., 2010

Mining models of exceptional objects through rule learning.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Finding Distance-based Outliers in Subspaces through Both Positive and Negative Examples.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

Detection of Discriminating Rules.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

IP6K Gene Discovery in Plant mtDNA.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

2009
Detecting outlying properties of exceptional objects.
ACM Trans. Database Syst., 2009

DOLPHIN: An efficient algorithm for mining distance-based outliers in very large datasets.
ACM Trans. Knowl. Discov. Data, 2009

High Quality True-Positive Prediction for Fiscal Fraud Detection.
Proceedings of the ICDM Workshops 2009, 2009

Outlier Detection Using Inductive Logic Programming.
Proceedings of the ICDM 2009, 2009

2008
Mining Loosely Structured Motifs from Biological Data.
IEEE Trans. Knowl. Data Eng., 2008

An Unsupervised Outlier Detection Approach for Cleaning String Data Entries.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

An Efficient Method for Outlier Detection.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

2007
L-SME: A Tool for the Efficient Discovery of Loosely Structured Motifs in Biological Data.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

FOX: Inference of Approximate Functional Dependencies from XML Data.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

Detecting distance-based outliers in streams of data.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Very efficient mining of distance-based outliers.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Approximate Functional Dependencies for XML Data.
Proceedings of the Communications of the Eleventh East-European Conference on Advances in Databases and Information Systems, Varna, Bulgaria, September 29, 2007

2006
Un Metodo per la Scoperta di Proprietà Inattese.
Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, 2006

Efficient discovery of loosely structured motifs in biological data.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006


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