Fuzzy techniques and hierarchical aggregation functions decision trees for the classification of epilepsy risk levels from EEG signals

TENCON 2008 - 2008 IEEE Region 10 Conference ◽

10.1109/tencon.2008.4766545 ◽

2008 ◽

Cited By ~ 2

Author(s):

R. Sukanesh ◽

R. Harikumar

Keyword(s):

Decision Trees ◽

Eeg Signals ◽

Risk Levels ◽

Hierarchical Aggregation ◽

Aggregation Functions ◽

Fuzzy Techniques

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Performance analysis of fuzzy techniques hierarchical aggregation functions decision trees and Support Vector Machine (SVM)for the classification of epilepsy risk levels from EEG signals

2011 IEEE Recent Advances in Intelligent Computational Systems ◽

10.1109/raics.2011.6069364 ◽

2011 ◽

Author(s):

R. Harikumar ◽

T. Vijaykumar ◽

C. Palanisamy

Keyword(s):

Support Vector Machine ◽

Performance Analysis ◽

Decision Trees ◽

Support Vector ◽

Eeg Signals ◽

Risk Levels ◽

Hierarchical Aggregation ◽

Aggregation Functions ◽

Fuzzy Techniques

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Comparison of hierarchical aggregation functions decision Trees and Rule Based AI optimization in the classification of fuzzy based epilepsy risk levels from EEG signals

2011 11th International Conference on Hybrid Intelligent Systems (HIS) ◽

10.1109/his.2011.6122081 ◽

2011 ◽

Cited By ~ 1

Author(s):

R. Harikumar ◽

T. Vijayakumar

Keyword(s):

Decision Trees ◽

Eeg Signals ◽

Rule Based ◽

Risk Levels ◽

Hierarchical Aggregation ◽

Aggregation Functions

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Analysis of Fuzzy Techniques and Neural Networks (RBF&MLP) in Classification of Epilepsy Risk Levels from EEG Signals

IETE Journal of Research ◽

10.1080/03772063.2007.10876162 ◽

2007 ◽

Vol 53 (5) ◽

pp. 465-474 ◽

Cited By ~ 5

Author(s):

R Sukanesh ◽

R Harikumar

Keyword(s):

Neural Networks ◽

Eeg Signals ◽

Risk Levels ◽

Fuzzy Techniques

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Fuzzy Techniques and Aggregation Operators in Classification of Epilepsy Risk Levels for Diabetic Patients Using EEG Signals and Cerebral Blood Flow

Journal of Biomaterials and Tissue Engineering ◽

10.1166/jbt.2015.1316 ◽

2015 ◽

Vol 5 (4) ◽

pp. 316-322 ◽

Cited By ~ 8

Author(s):

R. Harikumar ◽

P. Sunil Kumar

Keyword(s):

Blood Flow ◽

Cerebral Blood Flow ◽

Aggregation Operators ◽

Diabetic Patients ◽

Eeg Signals ◽

Risk Levels ◽

Fuzzy Techniques

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A Structured Soft (Max-Min) Decision Trees for Patient Specific Fuzzy Classifier in the Classification of Epilepsy Risk Levels from EEG Signals

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) ◽

10.1109/iccima.2007.114 ◽

2007 ◽

Cited By ~ 2

Author(s):

R. Sukanesh ◽

R. Harikumar

Keyword(s):

Decision Trees ◽

Patient Specific ◽

Eeg Signals ◽

Fuzzy Classifier ◽

Risk Levels

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Performance Analysis of ApEn as a Feature Extraction Technique and Time Delay Neural Networks, Multi Layer Perceptron as Post Classifiers for the Classification of Epilepsy Risk Levels from EEG Signals

Advances in Intelligent Systems and Computing - Computational Intelligence, Cyber Security and Computational Models ◽

10.1007/978-981-10-0251-9_10 ◽

2015 ◽

pp. 89-97 ◽

Cited By ~ 3

Author(s):

Sunil Kumar Prabhakar ◽

Harikumar Rajaguru

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Time Delay ◽

Performance Analysis ◽

Extraction Technique ◽

Multi Layer Perceptron ◽

Eeg Signals ◽

Risk Levels ◽

Feature Extraction Technique

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Analytical Decision Making from Clinical Data-Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals-A Case Study

IFMBE Proceedings - 13th International Conference on Biomedical Engineering ◽

10.1007/978-3-540-92841-6_159 ◽

2009 ◽

pp. 647-651

Author(s):

V. K. Sudhaman ◽

R. Sukanesh ◽

R. HariKumar

Keyword(s):

Decision Making ◽

Clinical Data ◽

Eeg Signals ◽

Risk Levels ◽

Diagnosis And Classification

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Genetic algorithm optimization of fuzzy pouputs for classification of epilepsy risk levels from EEG signals

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. ◽

10.1109/acssc.2004.1399423 ◽

2005 ◽

Cited By ~ 1

Author(s):

R. Harikumar ◽

R. Sukanesh ◽

P.A. Bharathi

Keyword(s):

Genetic Algorithm ◽

Algorithm Optimization ◽

Eeg Signals ◽

Genetic Algorithm Optimization ◽

Risk Levels

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Performance comparison of fuzzy mutual information as dimensionality reduction techniques and SRC, SVD and approximate entropy as post classifiers for the classification of epilepsy risk levels from EEG signals

2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES) ◽

10.1109/issbes.2015.7435922 ◽

2015 ◽

Cited By ~ 8

Author(s):

Sunil Kumar Prabhakar ◽

Harikumar Rajaguru

Keyword(s):

Mutual Information ◽

Dimensionality Reduction ◽

Approximate Entropy ◽

Performance Comparison ◽

Eeg Signals ◽

Risk Levels ◽

Reduction Techniques ◽

Dimensionality Reduction Techniques

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Application of linear graph embedding as a dimensionality reduction technique and sparse representation classifier as a post classifier for the classification of epilepsy risk levels from EEG signals

10.1117/12.2227989 ◽

2015 ◽

Cited By ~ 3

Author(s):

Sunil Kumar Prabhakar ◽

Harikumar Rajaguru

Keyword(s):

Dimensionality Reduction ◽

Sparse Representation ◽

Graph Embedding ◽

Reduction Technique ◽

Eeg Signals ◽

Risk Levels ◽

Linear Graph ◽

Dimensionality Reduction Technique ◽

Sparse Representation Classifier

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