Fabrizio Angiulli

Orcid: 0000-0002-9860-7569

Affiliations:
  • National Research Council, Italy


According to our database1, Fabrizio Angiulli authored at least 120 papers between 1994 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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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

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

Evaluating Deep Packet Inspection in Large-scale Data Processing.
Proceedings of the 9th International Conference on Future Internet of Things and Cloud, 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

Guest Editorial: Non-IID Outlier Detection in Complex Contexts.
IEEE Intell. 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
CFOF: A Concentration Free Measure for Anomaly Detection.
ACM Trans. Knowl. Discov. Data, 2020

Reducing distance computations for distance-based outliers.
Expert Syst. Appl., 2020

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

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

2019
Data Mining: Outlier Detection.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

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

2018
Exploiting Content Spatial Distribution to Improve Detection of Intrusions.
ACM Trans. Internet Techn., 2018

A hierarchical hybrid framework for modelling anomalous behaviours.
Simul. Model. Pract. Theory, 2018

Pruning strategies for nearest neighbor competence preservation learners.
Neurocomputing, 2018

Detection, Prevention and Simulation Approaches to Address Anomalies in Cyber Security.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Effectiveness of Content Spatial Distribution Analysis in Securing IoT Environments.
Proceedings of the 6th IEEE International Conference on Future Internet of Things and Cloud, 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
On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness.
J. Mach. Learn. Res., 2017

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

Concentration Free Outlier Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

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

2016
GPU Strategies for Distance-Based Outlier Detection.
IEEE Trans. Parallel Distributed Syst., 2016

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

2015
Restricted default theories: Expressive power and outlier detection tasks.
Theor. Comput. Sci., 2015

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

Pruning Nearest Neighbor Competence Preservation Learners.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Exploiting N-Gram Location for Intrusion Detection.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

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

PCkAD: an unsupervised intrusion detection technique exploiting within payload n-gram location distribution.
CoRR, 2014

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

Accelerating outlier detection with intra- and inter-node parallelism.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

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

Distributed Strategies for Mining Outliers in Large Data Sets.
IEEE Trans. Knowl. Data Eng., 2013

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

Italian Machine Learning and Data Mining research: The last years.
Intelligenza Artificiale, 2013

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

Outlier detection: tasks and techniques.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Fast outlier detection using a GPU.
Proceedings of the International Conference on High Performance Computing & Simulation, 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

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

2011
Tractable Strong Outlier Identification
CoRR, 2011

Uncertain Nearest Neighbor Classification
CoRR, 2011

2010
Scaling up support vector machines using nearest neighbor condensation.
IEEE Trans. Neural Networks, 2010

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

Detecting and repairing anomalous evolutions in noisy environments - Logic programming formalization and complexity results.
Ann. Math. Artif. Intell., 2010

Outlier detection for simple default theories.
Artif. Intell., 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

A Distributed Approach to Detect Outliers in Very Large Data Sets.
Proceedings of the Euro-Par 2010 - Parallel Processing, 16th International Euro-Par Conference, Ischia, Italy, August 31, 2010

SMART: Simple Monitoring Enterprise Activities by RFID Tags.
Proceedings of the CAiSE Forum 2010, Hammamet, Tunisia, June 9-11, 2010, 2010

Effectively Monitoring RFID Based Systems.
Proceedings of the Advances in Databases and Information Systems, 2010

2009
Outlier Detection Techniques for Data Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 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

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

2008
Random walk biclustering for microarray data.
Inf. Sci., 2008

Outlier detection using default reasoning.
Artif. Intell., 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

Optimal Subset Selection for Classification through SAT Encodings.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008

A grid-based architecture for nearest neighbor based condensation of huge datasets.
Proceedings of the 3rd Workshop on the Use of P2P, 2008

Prototype-based Domain Description.
Proceedings of the ECAI 2008, 2008

2007
Outlier detection by logic programming.
ACM Trans. Comput. Log., 2007

Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets.
IEEE Trans. Knowl. Data Eng., 2007

Fast Nearest Neighbor Condensation for Large Data Sets Classification.
IEEE Trans. Knowl. Data Eng., 2007

Condensed Nearest Neighbor Data Domain Description.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

The <i>LP</i>-<i>OD</i> System: Logic Programming Meets Outlier Detection.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2007

Protein Data Condensation for Effective Quaternary Structure Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Efficient Distributed Data Condensation for Nearest Neighbor Classification.
Proceedings of the Euro-Par 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

2006
Distance-Based Detection and Prediction of Outliers.
IEEE Trans. Knowl. Data Eng., 2006

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

A Greedy Search Approach to Co-clustering Sparse Binary Matrices.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Clustering by Exceptions.
Proceedings of the Proceedings, 2006

2005
Outlier Mining in Large High-Dimensional Data Sets.
IEEE Trans. Knowl. Data Eng., 2005

Approximate <i>k</i>-Closest-Pairs in Large High-Dimensional Data Sets.
J. Math. Model. Algorithms, 2005

An approximate algorithm for top-k closest pairs join query in large high dimensional data.
Data Knowl. Eng., 2005

Enumerating consistent metaquery instantiations.
AI Commun., 2005

Detection and prediction of distance-based outliers.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Fast condensed nearest neighbor rule.
Proceedings of the Machine Learning, 2005

Gene Expression Biclustering Using Random Walk Strategies.
Proceedings of the Data Warehousing and Knowledge Discovery, 2005

2004
On the complexity of inducing categorical and quantitative association rules.
Theor. Comput. Sci., 2004

Discovering Anomalies in Evidential Knowledge by Logic Programming.
Proceedings of the Logics in Artificial Intelligence, 9th European Conference, 2004

Top-k Closest Pairs Join Query: An Approximate Algorithm for Large High Dimensional Data.
Proceedings of the 8th International Database Engineering and Applications Symposium (IDEAS 2004), 2004

DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Outlier Detection Using Disjunctive Logic Programming.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Detecting Outliers via Logical Theories and Its Data Complexity.
Proceedings of the Discovery Science, 7th International Conference, 2004

Improving Prediction of Distance-Based Outliers.
Proceedings of the Discovery Science, 7th International Conference, 2004

2003
Computational properties of metaquerying problems.
ACM Trans. Comput. Log., 2003

Outlier Detection Using Default Logic.
Proceedings of the IJCAI-03, 2003

Exploiting Default Logic to Detect Outliers.
Proceedings of the 2003 Joint Conference on Declarative Programming, 2003

2002
Fast Outlier Detection in High Dimensional Spaces.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Approximate k -Closest-Pairs with Space Filling Curves.
Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

2001
On the Complexity of Mining Association Rules.
Proceedings of the Nono Convegno Nazionale Sistemi Evoluti per Basi di Dati, 2001

2000
Metaquerying: proprietà e tecniche di implementazione.
Proceedings of the Ottavo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2000

1997
THE GPR System: An Architecture for Integrating Active and Deductive Rules on Complex Database Objects.
Theory Pract. Object Syst., 1997

1995
The GPR System: an Architecture for Integrating Active and Deductive Rules.
Proceedings of the Atti del Terzo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 1995

1994
Collegamento di Basi di Dati Orientate agli Oggetti a Basi di Dati Relazionali Remote.
Proceedings of the Atti del Secondo Convegno Nazionale "Sistemi Evoluti per Basi di Dati", 1994


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