F. Angiulli

发表

Fabrizio Angiulli, F. Angiulli, 2005, ICML.

First Application of a Distance-Based Outlier Approach to Detect Highly Differentiated Genomic Regions Across Human Populations

L. Pagani, F. Angiulli, D. Luiselli, 2015 .

IJCAI-07 Reviewers

Wolfram Burgard, Olivier Buffet, Christian Balkenius, 2007, IJCAI.

A Distributed Approach to Detect Outliers in Very Large Data Sets

Claudio Sartori, Fabrizio Angiulli, Stefano Basta, 2010, Euro-Par.

Graph-based construction of minimal models

F. Angiulli, L. Palopoli, Fabio Fassetti, 2022, Artif. Intell..

An Integrated Data Mining And Data Presentation Tool

Tiziana Catarci, Giuseppe Santucci, Giovambattista Ianni, 2002 .

Outlier Detection Techniques for Data Mining

Fabrizio Angiulli, F. Angiulli, 2009, Encyclopedia of Data Warehousing and Mining.

Computational properties of metaquerying problems

F. Angiulli, L. Palopoli, G. Ianni, 2003, TOCL.

Italian Machine Learning and Data Mining research: The last years

Fabrizio Riguzzi, Donato Malerba, Davide Bacciu, 2013, Intelligenza Artificiale.

Optimal Subset Selection for Classification through SAT Encodings

Fabrizio Angiulli, Stefano Basta, F. Angiulli, 2008, IFIP AI.

THE GPR System: An Architecture for Integrating Active and Deductive Rules on Complex Database Objects

Luigi Palopoli, Fabrizio Angiulli, Riccardo Torlone, 1997, Theory Pract. Object Syst..

Fast Outlier Detection in High Dimensional Spaces

Clara Pizzuti, Fabrizio Angiulli, C. Pizzuti, 2002, PKDD.

DOLPHIN: An efficient algorithm for mining distance-based outliers in very large datasets

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2009, TKDD.

Clustering by Exceptions

Fabrizio Angiulli, F. Angiulli, 2006, AAAI.

Approximate k-Closest-Pairs in Large High-Dimensional Data Sets

FABRIZIO ANGIULLI, CLARA PIZZUTI, C. Pizzuti, 2005, J. Math. Model. Algorithms.

Approximate k -Closest-Pairs with Space Filling Curves

Clara Pizzuti, Fabrizio Angiulli, C. Pizzuti, 2002, DaWaK.

Decomposing Minimal Models

Luigi Palopoli, Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, 2016, KnowProS@IJCAI.

On the tractability of minimal model computation for some CNF theories

Luigi Palopoli, Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, 2013, Artif. Intell..

Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets

Fabrizio Angiulli, Gianluigi Folino, F. Angiulli, 2007, IEEE Transactions on Knowledge and Data Engineering.

Detecting outlying properties of exceptional objects

Luigi Palopoli, Fabrizio Angiulli, Fabio Fassetti, 2009, TODS.

Nearest Neighbor-Based Classification of Uncertain Data

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2013, TKDD.

Pruning Nearest Neighbor Competence Preservation Learners

Fabrizio Angiulli, Estela Narvaez, F. Angiulli, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Fast Nearest Neighbor Condensation for Large Data Sets Classification

Fabrizio Angiulli, F. Angiulli, 2007, IEEE Transactions on Knowledge and Data Engineering.

Efficient Distributed Data Condensation for Nearest Neighbor Classification

Fabrizio Angiulli, Gianluigi Folino, F. Angiulli, 2007, Euro-Par.

Condensed Nearest Neighbor Data Domain Description

Fabrizio Angiulli, F. Angiulli, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A density estimation approach for detecting and explaining exceptional values in categorical data

Luigi Palopoli, Fabrizio Angiulli, Fabio Fassetti, 2019, Applied Intelligence.

Uncertain distance-based outlier detection with arbitrarily shaped data objects

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2020, Journal of Intelligent Information Systems.

CFOF: A Concentration Free Measure for Anomaly Detection

Fabrizio Angiulli, F. Angiulli, 2019, ACM Trans. Knowl. Discov. Data.

Toward Generalizing the Unification with Statistical Outliers

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2016, ACM Trans. Knowl. Discov. Data.

Outlying property detection with numerical attributes

Luigi Palopoli, Fabrizio Angiulli, Fabio Fassetti, 2013, Data Mining and Knowledge Discovery.

Outlier Detection with Arbitrary Probability Functions

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2013, AI*IA.

Prototype-Based Domain Description for One-Class Classification

Fabrizio Angiulli, F. Angiulli, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Outlier detection for simple default theories

Luigi Palopoli, Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, 2010, Artif. Intell..

SMART: Simple Monitoring Enterprise Activities by RFID Tags

Elio Masciari, Fabrizio Angiulli, F. Angiulli, 2010, CAiSE Forum.

Distance-based outlier queries in data streams: the novel task and algorithms

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2010, Data Mining and Knowledge Discovery.

Outlier detection using default reasoning

Luigi Palopoli, Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, 2008, Artif. Intell..

Very efficient mining of distance-based outliers

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2007, CIKM '07.

Detecting distance-based outliers in streams of data

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2007, CIKM '07.

Outlier detection by logic programming

Luigi Palopoli, Gianluigi Greco, Fabrizio Angiulli, 2004, TOCL.

Distance-based detection and prediction of outliers

Clara Pizzuti, Fabrizio Angiulli, Stefano Basta, 2006, IEEE Transactions on Knowledge and Data Engineering.

Detection and prediction of distance-based outliers

Clara Pizzuti, Fabrizio Angiulli, Stefano Basta, 2005, SAC '05.

Outlier mining in large high-dimensional data sets

Clara Pizzuti, Fabrizio Angiulli, C. Pizzuti, 2005, IEEE Transactions on Knowledge and Data Engineering.

Outlier Detection Using Default Logic

Luigi Palopoli, Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, 2003, IJCAI.

Exploiting domain knowledge to detect outliers

F. Angiulli, Fabio Fassetti, 2014, Data Mining and Knowledge Discovery.

Exploiting domain knowledge to detect outliers

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2013, Data Mining and Knowledge Discovery.

An Infrastructure for Service Accountability based on Digital Identity and Blockchain 3.0

Angelo Furfaro, Fabrizio Angiulli, Fabio Fassetti, 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Achieving Service Accountability Through Blockchain and Digital Identity

Angelo Furfaro, Domenico Saccà, Antonio Piccolo, 2018, CAiSE Forum.

A hierarchical hybrid framework for modelling anomalous behaviours

Angelo Furfaro, Fabrizio Angiulli, Andrea Parise, 2018, Simul. Model. Pract. Theory.

A grid-based architecture for nearest neighbor based condensation of huge datasets

Fabrizio Angiulli, Gianluigi Folino, F. Angiulli, 2008, UPGRADE '08.

Random walk biclustering for microarray data

Eugenio Cesario, Clara Pizzuti, Fabrizio Angiulli, 2008, Inf. Sci..

DESCRY: A Density Based Clustering Algorithm for Very Large Data Sets

Clara Pizzuti, Fabrizio Angiulli, Massimo Ruffolo, 2004, IDEAL.

Pruning strategies for nearest neighbor competence preservation learners

Fabrizio Angiulli, Estela Narvaez, F. Angiulli, 2018, Neurocomputing.

Principal Directions-Based Pivot Placement

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2013, SISAP.

Indexing Uncertain Data in General Metric Spaces

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2012, IEEE Transactions on Knowledge and Data Engineering.

Uncertain Nearest Neighbor Classification pdf

Fabrizio Angiulli, Fabio Fassetti, F. Angiulli, 2011, ArXiv.

Prototype-based Domain Description

Fabrizio Angiulli, F. Angiulli, 2008, ECAI.

Scaling Up Support Vector Machines Using Nearest Neighbor Condensation

Annabella Astorino, Fabrizio Angiulli, F. Angiulli, 2010, IEEE Transactions on Neural Networks.

Anomaly detection with correlation laws

F. Angiulli, Fabio Fassetti, Cristina Serrao, 2023, Data Knowl. Eng..

ODCA: An Outlier Detection Approach to Deal with Correlated Attributes

Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao, 2021, DaWaK.

A Greedy Search Approach to Co-clustering Sparse Binary Matrices

Eugenio Cesario, Clara Pizzuti, Fabrizio Angiulli, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

On the Complexity of Mining Association Rules

Luigi Palopoli, Giovambattista Ianni, Fabrizio Angiulli, 2001, SEBD.

Discovering Characterizations of the Behavior of Anomalous Subpopulations

Luigi Palopoli, Fabrizio Angiulli, Fabio Fassetti, 2013, IEEE Transactions on Knowledge and Data Engineering.

Outlier detection in default logics: the tractability/intractability frontier

F. Angiulli, L. Palopoli, R. Ben-Eliyahu-Zohary, 2011, 1109.4623.

Tractable Strong Outlier Identification pdf

Luigi Palopoli, Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, 2011, ArXiv.

On the complexity of inducing categorical and quantitative association rules

Luigi Palopoli, Giovambattista Ianni, Fabrizio Angiulli, 2001, Theor. Comput. Sci..

Exploiting N-Gram Location for Intrusion Detection

Angelo Furfaro, Fabrizio Angiulli, Luciano Argento, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

An approximate algorithm for top-k closest pairs join query in large high dimensional data

Clara Pizzuti, Fabrizio Angiulli, C. Pizzuti, 2005, Data Knowl. Eng..

On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness

Fabrizio Angiulli, F. Angiulli, 2017, J. Mach. Learn. Res..

Distributed Strategies for Mining Outliers in Large Data Sets

Claudio Sartori, Fabrizio Angiulli, Stefano Basta, 2013, IEEE Transactions on Knowledge and Data Engineering.

Reconstruction Error-based Anomaly Detection with Few Outlying Examples

F. Angiulli, Fabio Fassetti, L. Ferragina, 2023, ArXiv.

$${{\mathrm {Latent}}Out}$$: an unsupervised deep anomaly detection approach exploiting latent space distribution

F. Angiulli, Fabio Fassetti, L. Ferragina, 2022, Machine Learning.

Reducing distance computations for distance-based outliers

Fabrizio Angiulli, Stefano Basta, Stefano Lodi, 2020, Expert Syst. Appl..

Concentration Free Outlier Detection

Fabrizio Angiulli, F. Angiulli, 2017, ECML/PKDD.

GPU Strategies for Distance-Based Outlier Detection

Claudio Sartori, Fabrizio Angiulli, Stefano Basta, 2016, IEEE Transactions on Parallel and Distributed Systems.

Fast outlier detection using a GPU

Claudio Sartori, Fabrizio Angiulli, Stefano Basta, 2013, 2013 International Conference on High Performance Computing & Simulation (HPCS).

Meta-feature Extraction Strategies for Active Anomaly Detection

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, 2021, IDEAL.

Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, 2020, DS.

Exploiting Content Spatial Distribution to Improve Detection of Intrusions

Angelo Furfaro, Fabrizio Angiulli, Luciano Argento, 2018, ACM Trans. Internet Techn..

Exploiting N-Gram Location for Intrusion Detection pdf

Angelo Furfaro, Fabrizio Angiulli, Luciano Argento, 2014, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Computational properties of metaquerying problems

F. Angiulli, L. Palopoli, R. Ben-Eliyahu-Zohary, 2001, TOCL.

Detecting and repairing anomalous evolutions in noisy environments

Luigi Palopoli, Gianluigi Greco, Fabrizio Angiulli, 2006, Annals of Mathematics and Artificial Intelligence.