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Discriminating Pattern Mining for Diagnosing Reading Disorders

Applied sciences, 2022-08, Vol.12 (15), p.7540

2022

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Uncertain distance-based outlier detection with arbitrarily shaped data objects

Journal of intelligent information systems, 2021-08, Vol.57 (1), p.1-24

2021

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

Data mining and knowledge discovery, 2010-03, Vol.20 (2), p.290-324

2010

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

BMC bioinformatics, 2019-04, Vol.20 (Suppl 4), p.124-124, Article 124

2019

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

Machine learning, 2023-11, Vol.112 (11), p.4323-4349

2023

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LatentOut: an unsupervised deep anomaly detection approach exploiting latent space distribution

Machine learning, 2023-11, Vol.112 (11), p.4323-4349

2023

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Anomaly detection with correlation laws

Data & knowledge engineering, 2023-05, Vol.145, p.102181, Article 102181

2023

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Discriminative Pattern Discovery on Biological Networks

1st ed. 2017 edition., 2017

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Enhancing anomaly detectors with LatentOut

Journal of intelligent information systems, 2023-11

2023

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Discriminative pattern discovery for the characterization of different network populations

Bioinformatics (Oxford, England), 2023-04, Vol.39 (4)

2023

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Indexing Uncertain Data in General Metric Spaces

IEEE transactions on knowledge and data engineering, 2012-09, Vol.24 (9), p.1640-1657

2012

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Graph-based construction of minimal models

Artificial intelligence, 2022-12, Vol.313, p.103754, Article 103754

2022

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

ACM transactions on knowledge discovery from data, 2009-03, Vol.3 (1), p.1-57

2009

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Exploiting domain knowledge to detect outliers

Data mining and knowledge discovery, 2014-03, Vol.28 (2), p.519-568

2014

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

Applied intelligence (Dordrecht, Netherlands), 2022-12, Vol.52 (15), p.17534-17556

2022

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Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure

ACM transactions on knowledge discovery from data, 2016-02, Vol.10 (3), p.1-26

2016

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Nearest Neighbor-Based Classification of Uncertain Data

ACM transactions on knowledge discovery from data, 2013-03, Vol.7 (1), p.1-35

2013

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Outlying property detection with numerical attributes

Data mining and knowledge discovery, 2017, Vol.31 (1), p.134-163

2017

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Discovering Characterizations of the Behavior of Anomalous Subpopulations

IEEE transactions on knowledge and data engineering, 2013-06, Vol.25 (6), p.1280-1292

2013

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Mining sponge phenomena in RNA expression data

Journal of bioinformatics and computational biology, 2022-02, Vol.20 (1), p.2150022

2022

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Detecting distance-based outliers in streams of data

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, 2007, p.811-820

2007

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Detecting Outlying Properties of Exceptional Objects

ACM transactions on database systems, 2009-04, Vol.34 (1), p.1-62

2009

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ODCA: An Outlier Detection Approach to Deal with Correlated Attributes

Big Data Analytics and Knowledge Discovery, p.180-191

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A Stochastic Block Model Based Approach to Detect Outliers in Networks

Database and Expert Systems Applications, p.149-154

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On the tractability of minimal model computation for some CNF theories

Artificial intelligence, 2014-05, Vol.210, p.56-77

2014

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Discriminating Pattern Mining for Diagnosing Reading Disorders

Uncertain distance-based outlier detection with arbitrarily shaped data objects

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

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

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

LatentOut: an unsupervised deep anomaly detection approach exploiting latent space distribution

Anomaly detection with correlation laws

Discriminative Pattern Discovery on Biological Networks

Enhancing anomaly detectors with LatentOut

Discriminative pattern discovery for the characterization of different network populations

Indexing Uncertain Data in General Metric Spaces

Graph-based construction of minimal models

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

Exploiting domain knowledge to detect outliers

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

Toward Generalizing the Unification with Statistical Outliers: The Gradient Outlier Factor Measure

Nearest Neighbor-Based Classification of Uncertain Data

Outlying property detection with numerical attributes

Discovering Characterizations of the Behavior of Anomalous Subpopulations

Mining sponge phenomena in RNA expression data

Detecting distance-based outliers in streams of data

Detecting Outlying Properties of Exceptional Objects

ODCA: An Outlier Detection Approach to Deal with Correlated Attributes

A Stochastic Block Model Based Approach to Detect Outliers in Networks

On the tractability of minimal model computation for some CNF theories

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