Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science
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9783319686110, 9783319686127

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A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_73 ◽

2017 ◽

pp. 643-651 ◽

Cited By ~ 1

Author(s):

Adrian Ion-Mărgineanu ◽

Gabriel Kocevar ◽

Claudio Stamile ◽

Diana M. Sima ◽

Françoise Durand-Dubief ◽

...

Keyword(s):

Machine Learning ◽

Multiple Sclerosis ◽

Learning Approaches

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PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_47 ◽

2017 ◽

pp. 411-419 ◽

Cited By ~ 2

Author(s):

Ramalingaswamy Cheruku ◽

Damodar Reddy Edla ◽

Venkatanareshbabu Kuppili ◽

Ramesh Dharavath

Keyword(s):

Clustering Approach

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A Priori Reliability Prediction with Meta-Learning Based on Context Information

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_23 ◽

2017 ◽

pp. 200-207

Author(s):

Jennifer Kreger ◽

Lydia Fischer ◽

Stephan Hasler ◽

Thomas H. Weisswange ◽

Ute Bauer-Wersing

Keyword(s):

A Priori ◽

Reliability Prediction ◽

Context Information ◽

Meta Learning

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On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_46 ◽

2017 ◽

pp. 402-410

Author(s):

Ricardo A. M. da Silva ◽

Francisco de A. T. de Carvalho

Keyword(s):

Linear Regression ◽

Explanatory Variables ◽

Clusterwise Linear Regression

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Generalising the Discriminative Restricted Boltzmann Machines

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_13 ◽

2017 ◽

pp. 111-119 ◽

Cited By ~ 3

Author(s):

Srikanth Cherla ◽

Son N. Tran ◽

Artur d’Avila Garcez ◽

Tillman Weyde

Keyword(s):

Restricted Boltzmann Machines ◽

Boltzmann Machines

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View-Weighted Multi-view K-means Clustering

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_35 ◽

2017 ◽

pp. 305-312 ◽

Cited By ~ 2

Author(s):

Hong Yu ◽

Yahong Lian ◽

Shu Li ◽

JiaXin Chen

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FP-MRBP: Fine-grained Parallel MapReduce Back Propagation Algorithm

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_77 ◽

2017 ◽

pp. 680-687 ◽

Cited By ~ 1

Author(s):

Gang Ren ◽

Qingsong Hua ◽

Pan Deng ◽

Chao Yang

Keyword(s):

Back Propagation ◽

Back Propagation Algorithm ◽

Fine Grained ◽

Propagation Algorithm

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Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_44 ◽

2017 ◽

pp. 385-393 ◽

Cited By ~ 2

Author(s):

Luca Oneto ◽

Andrea Coraddu ◽

Paolo Sanetti ◽

Olena Karpenko ◽

Francesca Cipollini ◽

...

Keyword(s):

Performance Prediction ◽

Data Analytics ◽

Marine Safety

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Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_53 ◽

2017 ◽

pp. 467-474

Author(s):

Carine A. Dantas ◽

Rômulo O. Nunes ◽

Anne M. P. Canuto ◽

João C. Xavier-Júnior

Keyword(s):

Feature Selection ◽

Clustering Algorithm ◽

Dynamic Feature

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Chinese Lexical Normalization Based on Information Extraction: An Experimental Study

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68612-7_25 ◽

2017 ◽

pp. 216-223

Author(s):

Tian Tian ◽

WeiRan Xu

Keyword(s):

Experimental Study ◽

Information Extraction

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Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations

PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease Data

A Priori Reliability Prediction with Meta-Learning Based on Context Information

On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables

Generalising the Discriminative Restricted Boltzmann Machines

View-Weighted Multi-view K-means Clustering

FP-MRBP: Fine-grained Parallel MapReduce Back Propagation Algorithm

Marine Safety and Data Analytics: Vessel Crash Stop Maneuvering Performance Prediction

Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity

Chinese Lexical Normalization Based on Information Extraction: An Experimental Study

Artificial Neural Networks and Machine Learning – ICANN 2017 - Lecture Notes in Computer Science
Latest Publications