Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging
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Published By Springer Berlin Heidelberg

9783642347122, 9783642347139

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_7 ◽

2012 ◽

pp. 51-59 ◽

Cited By ~ 2

Author(s):

Jane M. Rondina ◽

John Shawe-Taylor ◽

Janaina Mourão-Miranda

Keyword(s):

Feature Selection ◽

Stability Theory ◽

Classification Accuracy ◽

Feature Selection Method ◽

Selection Method ◽

Neuroimaging Data ◽

New Feature

Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_29 ◽

2012 ◽

pp. 226-233

Author(s):

Kasper Winther Andersen ◽

Kristoffer Hougaard Madsen ◽

Hartwig Siebner ◽

Lars Kai Hansen ◽

Morten Mørup

MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_16 ◽

2012 ◽

pp. 124-131 ◽

Cited By ~ 2

Author(s):

Chris Hinrichs ◽

N. Maritza Dowling ◽

Sterling C. Johnson ◽

Vikas Singh

Keyword(s):

Clinical Trials ◽

Sample Enrichment

Finding Consistencies in MEG Responses to Repeated Natural Speech

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_13 ◽

2012 ◽

pp. 101-107 ◽

Cited By ~ 1

Author(s):

Miika Koskinen

Keyword(s):

Natural Speech

Modality Neutral Techniques for Brain Image Understanding

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_11 ◽

2012 ◽

pp. 84-92

Author(s):

David B. Keator

Keyword(s):

Image Understanding ◽

Brain Image

Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_10 ◽

2012 ◽

pp. 76-83

Author(s):

Toke Jansen Hansen ◽

Lars Kai Hansen ◽

Kristoffer Hougaard Madsen

Keyword(s):

Real Time ◽

Manifold Regularization ◽

Cognitive States

Pitfalls in EEG-Based Brain Effective Connectivity Analysis

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_26 ◽

2012 ◽

pp. 202-209

Author(s):

Stefan Haufe ◽

Vadim V. Nikulin ◽

Guido Nolte ◽

Klaus-Robert Müller

Keyword(s):

Effective Connectivity ◽

Connectivity Analysis

Statistical Learning for Resting-State fMRI: Successes and Challenges

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_22 ◽

2012 ◽

pp. 172-177 ◽

Cited By ~ 1

Author(s):

Gaël Varoquaux ◽

Bertrand Thirion

Keyword(s):

Statistical Learning ◽

Resting State ◽

Resting State Fmri ◽

Successes And Challenges

Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_32 ◽

2012 ◽

pp. 256-263 ◽

Cited By ~ 1

Author(s):

Trine Julie Abrahamsen ◽

Lars Kai Hansen

Keyword(s):

High Dimensional

Information-Theoretic Connectivity-Based Cortex Parcellation

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging ◽

10.1007/978-3-642-34713-9_24 ◽

2012 ◽

pp. 186-193 ◽

Cited By ~ 2

Author(s):

Nico S. Gorbach ◽

Silvan Siep ◽

Jenia Jitsev ◽

Corina Melzer ◽

Marc Tittgemeyer

Keyword(s):

Information Theoretic

Lecture Notes in Computer Science - Machine Learning and Interpretation in NeuroimagingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data

Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling

MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials

Finding Consistencies in MEG Responses to Repeated Natural Speech

Modality Neutral Techniques for Brain Image Understanding

Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI

Pitfalls in EEG-Based Brain Effective Connectivity Analysis

Statistical Learning for Resting-State fMRI: Successes and Challenges

Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data

Information-Theoretic Connectivity-Based Cortex Parcellation

Lecture Notes in Computer Science - Machine Learning and Interpretation in Neuroimaging
Latest Publications