Discovery Science - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319463063, 9783319463070

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_11 ◽

2016 ◽

pp. 167-182 ◽

Cited By ~ 3

Author(s):

Pasquale Ardimento ◽

Massimo Bilancia ◽

Stefano Monopoli

Keyword(s):

Text Categorization

DeepRED – Rule Extraction from Deep Neural Networks

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_29 ◽

2016 ◽

pp. 457-473 ◽

Cited By ~ 31

Author(s):

Jan Ruben Zilke ◽

Eneldo Loza Mencía ◽

Frederik Janssen

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Rule Extraction

Exceptional Preferences Mining

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_1 ◽

2016 ◽

pp. 3-18 ◽

Cited By ~ 6

Author(s):

Cláudio Rebelo de Sá ◽

Wouter Duivesteijn ◽

Carlos Soares ◽

Arno Knobbe

On Selection Bias with Imbalanced Classes

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_21 ◽

2016 ◽

pp. 325-340 ◽

Cited By ~ 2

Author(s):

Gert Jacobusse ◽

Cor Veenman

Keyword(s):

Selection Bias ◽

Imbalanced Classes

Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_2 ◽

2016 ◽

pp. 19-34 ◽

Cited By ~ 8

Author(s):

Guillaume Bosc ◽

Jérôme Golebiowski ◽

Moustafa Bensafi ◽

Céline Robardet ◽

Marc Plantevit ◽

...

Keyword(s):

Subgroup Discovery ◽

Local Subgroup

Anomaly Detection in Networks with Temporal Information

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_23 ◽

2016 ◽

pp. 359-375 ◽

Cited By ~ 1

Author(s):

Fabrizio Angiulli ◽

Fabio Fassetti ◽

Estela Narvaez

Keyword(s):

Anomaly Detection ◽

Temporal Information

Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_10 ◽

2016 ◽

pp. 151-166 ◽

Cited By ~ 2

Author(s):

Sebastian Kauschke ◽

Johannes Fürnkranz ◽

Frederik Janssen

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Machine Learning Approach

Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_19 ◽

2016 ◽

pp. 295-309 ◽

Cited By ~ 1

Author(s):

Annalisa Appice ◽

Pietro Guccione

Keyword(s):

Image Classification ◽

Spatial Correlation ◽

Hyperspectral Image ◽

Training Data ◽

Data Selection ◽

Spectral Signature ◽

Hyperspectral Image Classification ◽

Training Data Selection

A Framework for Classification in Data Streams Using Multi-strategy Learning

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_22 ◽

2016 ◽

pp. 341-355 ◽

Cited By ~ 3

Author(s):

Ali Pesaranghader ◽

Herna L. Viktor ◽

Eric Paquet

Keyword(s):

Data Streams

Expect the Unexpected – On the Significance of Subgroups

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46307-0_4 ◽

2016 ◽

pp. 51-66 ◽

Cited By ~ 1

Author(s):

Matthijs van Leeuwen ◽

Antti Ukkonen

Discovery Science - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques

DeepRED – Rule Extraction from Deep Neural Networks

Exceptional Preferences Mining

On Selection Bias with Imbalanced Classes

Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships

Anomaly Detection in Networks with Temporal Information

Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype

Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification

A Framework for Classification in Data Streams Using Multi-strategy Learning

Expect the Unexpected – On the Significance of Subgroups

Discovery Science - Lecture Notes in Computer Science
Latest Publications