Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science
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9783030375980, 9783030375997

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Quantitative and Ontology-Based Comparison of Explanations for Image Classification

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_6 ◽

2019 ◽

pp. 58-70

Author(s):

Valentina Ghidini ◽

Alan Perotti ◽

Rossano Schifanella

Keyword(s):

Image Classification

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Modelling Chaotic Time Series Using Recursive Deep Self-organising Neural Networks

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_55 ◽

2019 ◽

pp. 667-675

Author(s):

Erik Berglund

Keyword(s):

Neural Networks ◽

Time Series ◽

Chaotic Time Series

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Multi-task Learning by Pareto Optimality

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_50 ◽

2019 ◽

pp. 605-618

Author(s):

Deyan Dyankov ◽

Salvatore Danilo Riccio ◽

Giuseppe Di Fatta ◽

Giuseppe Nicosia

Keyword(s):

Pareto Optimality ◽

Task Learning

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An Information Analysis Approach into Feature Understanding of Convolutional Deep Neural Networks

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_4 ◽

2019 ◽

pp. 36-44

Author(s):

Zahra Sadeghi

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Analysis Approach ◽

Information Analysis

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Merging Quality Estimation for Binary Decision Diagrams with Binary Classifiers

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_37 ◽

2019 ◽

pp. 445-457

Author(s):

Nikolaus Frohner ◽

Günther R. Raidl

Keyword(s):

Binary Decision Diagrams ◽

Decision Diagrams ◽

Quality Estimation ◽

Binary Decision ◽

Binary Classifiers

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Designing an Optimal and Resilient iBGP Overlay with Extended ORRTD

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_34 ◽

2019 ◽

pp. 409-421

Author(s):

Cristina Mayr ◽

Claudio Risso ◽

Eduardo Grampín

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Combinatorial Learning in Traffic Management

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_32 ◽

2019 ◽

pp. 384-395

Author(s):

Giorgio Sartor ◽

Carlo Mannino ◽

Lukas Bach

Keyword(s):

Traffic Management

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Modification of the k-MXT Algorithm and Its Application to the Geotagged Data Clustering

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_25 ◽

2019 ◽

pp. 296-307

Author(s):

Anastasia Stepanova ◽

Sergei V. Mironov ◽

Sergei Sidorov ◽

Alexey Faizliev

Keyword(s):

Data Clustering

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A Structural Theorem for Center-Based Clustering in High-Dimensional Euclidean Space

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_24 ◽

2019 ◽

pp. 284-295 ◽

Cited By ~ 1

Author(s):

Vladimir Shenmaier

Keyword(s):

Euclidean Space ◽

High Dimensional ◽

Dimensional Euclidean Space ◽

Structural Theorem

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Network Alignment Using Graphlet Signature and High Order Proximity

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37599-7_12 ◽

2019 ◽

pp. 130-142

Author(s):

Aljohara Almulhim ◽

Vachik S. Dave ◽

Mohammad Al Hasan

Keyword(s):

Network Alignment ◽

High Order

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Machine Learning, Optimization, and Data Science - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Quantitative and Ontology-Based Comparison of Explanations for Image Classification

Modelling Chaotic Time Series Using Recursive Deep Self-organising Neural Networks

Multi-task Learning by Pareto Optimality

An Information Analysis Approach into Feature Understanding of Convolutional Deep Neural Networks

Merging Quality Estimation for Binary Decision Diagrams with Binary Classifiers

Designing an Optimal and Resilient iBGP Overlay with Extended ORRTD

Combinatorial Learning in Traffic Management

Modification of the k-MXT Algorithm and Its Application to the Geotagged Data Clustering

A Structural Theorem for Center-Based Clustering in High-Dimensional Euclidean Space

Network Alignment Using Graphlet Signature and High Order Proximity

Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science
Latest Publications