Lecture Notes in Computer Science - Machine Learning, Optimization, and Big Data
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Published By Springer International Publishing

9783319729251, 9783319729268

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms

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

10.1007/978-3-319-72926-8_7 ◽

2017 ◽

pp. 76-87 ◽

Cited By ~ 2

Author(s):

Tome Eftimov ◽

Peter Korošec ◽

Barbara Koroušić Seljak

Keyword(s):

Stochastic Optimization ◽

Quality Indicators ◽

Optimization Algorithms ◽

Statistical Comparison ◽

Multi Objective ◽

Stochastic Optimization Algorithms

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Mineral: Multi-modal Network Representation Learning

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

10.1007/978-3-319-72926-8_24 ◽

2017 ◽

pp. 286-298 ◽

Cited By ~ 1

Author(s):

Zekarias T. Kefato ◽

Nasrullah Sheikh ◽

Alberto Montresor

Keyword(s):

Representation Learning ◽

Network Representation

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Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch

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

10.1007/978-3-319-72926-8_17 ◽

2017 ◽

pp. 198-209 ◽

Cited By ~ 1

Author(s):

Riccardo Pellegrini ◽

Andrea Serani ◽

Giampaolo Liuzzi ◽

Francesco Rinaldi ◽

Stefano Lucidi ◽

...

Keyword(s):

Particle Swarm ◽

Multi Objective Optimization ◽

Multi Objective ◽

Derivative Free ◽

Local Derivative

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Petersen Graph is Uniformly Most-Reliable

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

10.1007/978-3-319-72926-8_35 ◽

2017 ◽

pp. 426-435 ◽

Cited By ~ 4

Author(s):

Guillermo Rela ◽

Franco Robledo ◽

Pablo Romero

Keyword(s):

Petersen Graph

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Projective Approximation Based Quasi-Newton Methods

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

10.1007/978-3-319-72926-8_3 ◽

2017 ◽

pp. 29-40 ◽

Cited By ~ 1

Author(s):

Alexander Senov

Keyword(s):

Newton Methods ◽

Quasi Newton

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Automatic Creation of a Large and Polished Training Set for Sentiment Analysis on Twitter

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

10.1007/978-3-319-72926-8_13 ◽

2017 ◽

pp. 146-157

Author(s):

Stefano Cagnoni ◽

Paolo Fornacciari ◽

Juxhino Kavaja ◽

Monica Mordonini ◽

Agostino Poggi ◽

...

Keyword(s):

Sentiment Analysis ◽

Training Set

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Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models

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

10.1007/978-3-319-72926-8_1 ◽

2017 ◽

pp. 1-15

Author(s):

Khaled Sayed ◽

Cheryl A. Telmer ◽

Adam A. Butchy ◽

Natasa Miskov-Zivanov

Keyword(s):

Big Data ◽

Cellular Signaling ◽

Machine Reading

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BioHIPI: Biomedical Hadoop Image Processing Interface

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

10.1007/978-3-319-72926-8_45 ◽

2017 ◽

pp. 540-548

Author(s):

Francesco Calimeri ◽

Mirco Caracciolo ◽

Aldo Marzullo ◽

Claudio Stamile

Keyword(s):

Image Processing

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A Comparative Study on Term Weighting Schemes for Text Classification

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

10.1007/978-3-319-72926-8_9 ◽

2017 ◽

pp. 100-108 ◽

Cited By ~ 2

Author(s):

Ahmad Mazyad ◽

Fabien Teytaud ◽

Cyril Fonlupt

Keyword(s):

Comparative Study ◽

Text Classification ◽

Term Weighting ◽

Weighting Schemes

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On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis

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

10.1007/978-3-319-72926-8_8 ◽

2017 ◽

pp. 88-99

Author(s):

Angelo Lucia ◽

Edward Thomas ◽

Peter A. DiMaggio

Keyword(s):

Pathway Analysis ◽

Metabolic Pathway ◽

Metabolic Pathway Analysis ◽

Enzyme Substrate

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Lecture Notes in Computer Science - Machine Learning, Optimization, and Big DataLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms

Mineral: Multi-modal Network Representation Learning

Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch

Petersen Graph is Uniformly Most-Reliable

Projective Approximation Based Quasi-Newton Methods

Automatic Creation of a Large and Polished Training Set for Sentiment Analysis on Twitter

Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models

BioHIPI: Biomedical Hadoop Image Processing Interface

A Comparative Study on Term Weighting Schemes for Text Classification

On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis

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