Machine Learning, Optimization, and Data Science - Lecture Notes in Computer Science
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9783030137083, 9783030137090

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REFINE: Representation Learning from Diffusion Events

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

10.1007/978-3-030-13709-0_12 ◽

2019 ◽

pp. 141-153

Author(s):

Zekarias T. Kefato ◽

Nasrullah Sheikh ◽

Alberto Montresor

Keyword(s):

Representation Learning

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Lookahead Policy and Genetic Algorithm for Solving Nurse Rostering Problems

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

10.1007/978-3-030-13709-0_39 ◽

2019 ◽

pp. 460-471

Author(s):

Peng Shi ◽

Dario Landa-Silva

Keyword(s):

Genetic Algorithm ◽

Nurse Rostering

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Optimization of Neural Network Training with ELM Based on the Iterative Hybridization of Differential Evolution with Local Search and Restarts

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

10.1007/978-3-030-13709-0_4 ◽

2019 ◽

pp. 38-50 ◽

Cited By ~ 1

Author(s):

David Sotelo ◽

Daniela Velásquez ◽

Carlos Cobos ◽

Martha Mendoza ◽

Luis Gómez

Keyword(s):

Neural Network ◽

Local Search ◽

Differential Evolution ◽

Neural Network Training ◽

Network Training

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Feature Based Multivariate Data Imputation

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

10.1007/978-3-030-13709-0_3 ◽

2019 ◽

pp. 26-37

Author(s):

Alessio Petrozziello ◽

Ivan Jordanov

Keyword(s):

Multivariate Data ◽

Data Imputation ◽

Feature Based

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Covering Arrays to Support the Process of Feature Selection in the Random Forest Classifier

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

10.1007/978-3-030-13709-0_6 ◽

2019 ◽

pp. 64-76

Author(s):

Sebastián Vivas ◽

Carlos Cobos ◽

Martha Mendoza

Keyword(s):

Feature Selection ◽

Random Forest ◽

Random Forest Classifier ◽

Covering Arrays

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Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

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

10.1007/978-3-030-13709-0_9 ◽

2019 ◽

pp. 104-115

Author(s):

Jussi Hakanen ◽

Jose Malmberg ◽

Vesa Ojalehto ◽

Kyle Eyvindson

Keyword(s):

Multiobjective Optimization ◽

Data Driven ◽

Decision Space

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Generating Term Weighting Schemes Through Genetic Programming

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

10.1007/978-3-030-13709-0_8 ◽

2019 ◽

pp. 92-103

Author(s):

Ahmad Mazyad ◽

Fabien Teytaud ◽

Cyril Fonlupt

Keyword(s):

Genetic Programming ◽

Term Weighting ◽

Weighting Schemes

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A Framework to Automatically Extract Funding Information from Text

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

10.1007/978-3-030-13709-0_27 ◽

2019 ◽

pp. 317-328

Author(s):

Subhradeep Kayal ◽

Zubair Afzal ◽

George Tsatsaronis ◽

Marius Doornenbal ◽

Sophia Katrenko ◽

...

Keyword(s):

Funding Information

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Image-Based Fashion Product Recommendation with Deep Learning

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

10.1007/978-3-030-13709-0_40 ◽

2019 ◽

pp. 472-481 ◽

Cited By ~ 3

Author(s):

Hessel Tuinhof ◽

Clemens Pirker ◽

Markus Haltmeier

Keyword(s):

Deep Learning ◽

Product Recommendation

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Learning Consistent Tree-Augmented Dynamic Bayesian Networks

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

10.1007/978-3-030-13709-0_15 ◽

2019 ◽

pp. 179-190

Author(s):

Margarida Sousa ◽

Alexandra M. Carvalho

Keyword(s):

Bayesian Networks ◽

Dynamic Bayesian Networks

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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

REFINE: Representation Learning from Diffusion Events

Lookahead Policy and Genetic Algorithm for Solving Nurse Rostering Problems

Optimization of Neural Network Training with ELM Based on the Iterative Hybridization of Differential Evolution with Local Search and Restarts

Feature Based Multivariate Data Imputation

Covering Arrays to Support the Process of Feature Selection in the Random Forest Classifier

Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

Generating Term Weighting Schemes Through Genetic Programming

A Framework to Automatically Extract Funding Information from Text

Image-Based Fashion Product Recommendation with Deep Learning

Learning Consistent Tree-Augmented Dynamic Bayesian Networks

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