Harikumar Rajaguru

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Fuzzy C-Means Clustering and Gaussian Mixture Model for Epilepsy Classification from EEG

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018 .

A Hybrid Classification Model Using Artificial Bee Colony with Particle Swarm Optimization and Minimum Relative Entropy as Post Classifier for Epilepsy Classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2018 .

A Novel Noise Removal in Digital Mammograms based on Statistical Algorithms

Harikumar Rajaguru, S R Sannasi Chakravarthy, 2019, 2019 International Conference on Advances in Computing and Communication Engineering (ICACCE).

An approach to classification of oral cancer using Softmax Discriminant Classifier

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Development of Patient Remote Monitoring System for Epilepsy Classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017 .

Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease

Seong-Whan Lee, Harikumar Rajaguru, Sunil Kumar Prabhakar, 2019, IEEE Access.

Performance Analysis of ICA with GMM and HMM for Epilepsy Classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2019 .

Comparison of Isomap and matrix factorization with mahalanobis based sparse representation classifier for epilepsy classification from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC).

A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers

Harikumar Rajaguru, Sunil Kumar Prabhakar, Seong-Whan Lee, 2019, 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

Comparison Analysis of Linear Discriminant Analysis and Cuckoo-Search Algorithm in the Classification of Breast Cancer from Digital Mammograms

Harikumar Rajaguru, Sannasi Chakravarthy S R, H. Rajaguru, 2019, Asian Pacific journal of cancer prevention : APJCP.

Hilbert transform with Elman backpropagation and multilayer perceptrons for epilepsy classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

Epilepsy Classification Using Discriminant Analysis and Implementation with Space Time Trellis Coded MIMO-OFDM System for Telemedicine Applications

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017 .

Power spectral density and KNN based adaboost classifier for epilepsy classification from EEG

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

Logistic regression Gaussian mixture model and softmax discriminant classifier for epilepsy classification from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 International Conference on Computing Methodologies and Communication (ICCMC).

Analyzing dimensionality reduction with softmax discriminant classifier for epilepsy classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Application of thresholding in correlation dimension for alcoholic risk level detection in EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

E-health Design with Spectral Analysis, Linear Layer Neural Networks and Adaboost Classifier for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018 .

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

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015, 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES).

Wavelet Neural Networks, Elman Backpropagation and Multilayer Perceptrons for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018 .

Dementia MRI image classification using transformation technique based on elephant herding optimization with Randomized Adam method for updating the hyper‐parameters

Harikumar Rajaguru, N Bharanidharan, H. Rajaguru, 2020, Int. J. Imaging Syst. Technol..

A Study on Real World Implementation and Future Trends of Internet of Things

Harikumar Rajaguru, K. Issac, G. Pranay, 2020, 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).

Factorization and Particle Swarm Based Sparse Representation Classifier for Epilepsy Classification Implemented for Wireless Telemedicine Applications

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017 .

Earlier detection of cancer regions from MR image features and SVM classifiers

Harikumar Rajaguru, Karthick Ganesan, Vinoth Kumar Bojan, 2016, Int. J. Imaging Syst. Technol..

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

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2016 .

Multilayer Autoencoders and EM - PCA with Genetic Algorithm for Epilepsy Classification from EEG

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018, 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA).

A Comprehensive Review on Photoplethysmography and Its Application for Heart Rate Turbulence Clinical Diagnosis

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015 .

Spectral Density Analysis with Logarithmic Regression Dependent Gaussian Mixture Model for Epilepsy Classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2019 .

Code converters methodology with kernel maximum uncertainty discriminant analysis for epilepsy classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Comparison of Particle Swarm Optimization and Weighted Artificial Bee Colony Techniques in Classification of Dementia Using MRI Images

Harikumar Rajaguru, N. Bharanidharan, 2018 .

Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, Seong-Whan Lee, 2020, 2020 8th International Winter Conference on Brain-Computer Interface (BCI).

Performance analysis of EM, SVD, and SVM classifiers in classification of carcinogenic regions of medical images

Harikumar Rajaguru, Vinoth Kumar Bojan, 2014, Int. J. Imaging Syst. Technol..

Performance Analysis of Wavelet Function Using Denoising for Clinical Database

Harikumar Rajaguru, Karthick Ganesan, H. Rajaguru, 2018 .

A novel combination of code converters and sparse representation classifiers for an efficient epilepsy risk level classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015, 2015 8th Biomedical Engineering International Conference (BMEiCON).

Fuzzy Genetic Algorithms, Svm Methods for Epilepsy Classification

Harikumar Rajaguru, Vinoth Kumar Bojan, Vijayakumar Thangavel, 2012 .

Wireless Systems with Reduced PAPR Using K-means Modified PTS Implemented for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017 .

Classification of Dementia Using Harmony Search Optimization Technique

Harikumar Rajaguru, Bharanidharan N, 2018, 2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC).

Factor Analysis and Weighted KNN Classifier for Epilepsy Classification from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018, 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA).

A novel improved crow‐search algorithm to classify the severity in digital mammograms

Harikumar Rajaguru, S. R. Sannasi Chakravarthy, H. Rajaguru, 2020, Int. J. Imaging Syst. Technol..

A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms

Harikumar Rajaguru, Sunil Kumar Prabhakar, Seong-Whan Lee, 2020, IEEE Access.

Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data

Harikumar Rajaguru, K. Nirmalakumari, P. Rajkumar, 2020, Int. J. Imaging Syst. Technol..

Application of Morphological Filtering with Modifications in Linear Discriminant Analysis Classifier for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018 .

Correlation Dimension and Bayesian Linear Discriminant Analysis for Alcohol Risk Level Detection

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2019 .

Visualizing local linear embedding and fast ICA with linear neural networks for epilepsy classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, Kowshik Saravanan, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Performance enhancement of swarm intelligence techniques in dementia classification using dragonfly‐based hybrid algorithms

Harikumar Rajaguru, N. Bharanidharan, H. Rajaguru, 2020, Int. J. Imaging Syst. Technol..

Interpretation of Autoencoders and PCA with Adaboost Classifier for Classification of Epilepsy from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018, 2018 International Conference on Inventive Research in Computing Applications (ICIRCA).

A Unique Approach to Epilepsy Classification from EEG Signals Using Dimensionality Reduction and Neural Networks

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2016 .

Efficient Denoising Framework for Mammogram Images with a New Impulse Detector and Non-Local Means

Harikumar Rajaguru, Sannasi Chakravarthy S R, H. Rajaguru, 2020, Asian Pacific journal of cancer prevention : APJCP.

Conceptual analysis of epilepsy classification using probabilistic mixture models

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 5th International Winter Conference on Brain-Computer Interface (BCI).

Fuzzy Mutual Information and Firefly Algorithm for Epilepsy Classification from EEG

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018, 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA).

Code Converters with City Block Distance Measures for Classifying Epilepsy from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2016 .

Alcoholic EEG signal classification with Correlation Dimension based distance metrics approach and Modified Adaboost classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2020, Heliyon.

Analysis of adaboost classifier from compressed EEG features for epilepsy detection

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 International Conference on Computing Methodologies and Communication (ICCMC).

A Comparison of Detrend Fluctuation Analysis, Gaussian Mixture Model and Artificial Neural Network Performance in detection of Microcalcification from Digital Mammograms

Harikumar Rajaguru, R SannasiChakravarthyS, 2018 .

Time frequency analysis (dB2 and dB4) for epilepsy classification with LDA classifier

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer

Harikumar Rajaguru, Sannasi Chakravarthy S R, H. Rajaguru, 2019, Asian Pacific journal of cancer prevention : APJCP.

Hessian LLE and Naïve Bayesian Classifier for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018, 2018 3rd International Conference on Communication and Electronics Systems (ICCES).

Lung Cancer Detection using Probabilistic Neural Network with modified Crow-Search Algorithm

Harikumar Rajaguru, Sannasi Chakravarthy S R, H. Rajaguru, 2019, Asian Pacific journal of cancer prevention : APJCP.

Computerized approach for cardiovascular risk level detection using photoplethysmography signals

Harikumar Rajaguru, Divya Ramachandran, Vanathi Ponnusamy Thangapandian, 2020 .

Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm

Harikumar Rajaguru, N. Bharanidharan, H. Rajaguru, 2020, Int. J. Imaging Syst. Technol..

FPGA Fuzzy (Pd & Pid) Controller Models for Insulin Pumps in Diabetes

Harikumar Rajaguru, Vinoth Kumar Bojan, Ganesh Babu Chidambaram, 2012 .

A Framework for Epilepsy Classification Using Modified Sparse Representation Classifiers and Naïve Bayesian Classifier from Electroencephalogram Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2016 .

An Amalgamated Approach to Bilevel Feature Selection Techniques Utilizing Soft Computing Methods for Classifying Colon Cancer

Harikumar Rajaguru, Sunil Kumar Prabhakar, Sun-Hee Kim, 2020, BioMed research international.

Classification of Leukemia Microscopic Images using Blended Biogeography Optimization

Harikumar Rajaguru, N Bharanidharan, P Yuva shree, 2020, 2020 International Conference on Inventive Computation Technologies (ICICT).

Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2016, SoCPaR.

Modified expectation maximization based sparse representation classifier for classification of epilepsy from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

Performance analysis of wavelet transforms and morphological operator-based classification of epilepsy risk levels

Harikumar Rajaguru, Thangavel Vijayakumar, 2014, EURASIP J. Adv. Signal Process..

Image De-noising Method Using Median Type Filter, Fuzzy Logic and Genetic Algorithm

Harikumar Rajaguru, S. R. Sannasi Chakravarthy, 2019 .

Bayesian linear discriminant analysis with hybrid ABC-PSO classifier for classifying epilepsy from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 International Conference on Computing Methodologies and Communication (ICCMC).

Cascaded feed forward neural networks and generalized regression for epilepsy risk level classification — A study

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2016, 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC).

Metric multidimensional scaling and aggregation operators for classifying epilepsy from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

Performance Analysis of Local Linear Embedding (LLE) and Hessian LLE with Hybrid ABC-PSO for Epilepsy Classification from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2018, 2018 International Conference on Inventive Research in Computing Applications (ICIRCA).

Power spectral density with correlation dimension for epilepsy classification from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

A comprehensive analysis of support vector machine and Gaussian mixture model for classification of epilepsy from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

Bayesian linear discriminant analysis for breast cancer classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non‐linear regression models: A comparison

Harikumar Rajaguru, S. R. Sannasi Chakravarthy, H. Rajaguru, 2020, Int. J. Imaging Syst. Technol..

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

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015, International Conference on Graphic and Image Processing.

Classification of Dementia MRI Images using Blended Biogeography Based Optimization

Harikumar Rajaguru, Bharanidharan N, 2019, 2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).

Analysis of centre tendency mode chaotic modeling for electroencephalography signals obtained from an epileptic patient

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015 .

Efficient Minutiae Matching Algorithm for Fingerprint Recognition

Harikumar Rajaguru, K. Nirmalakumari, P. Rajkumar, 2019, 2019 International Conference on Advances in Computing and Communication Engineering (ICACCE).

Morphological operator based feature extraction technique along with suitable post classifiers for epilepsy risk level classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015, 2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS).

Matrix Factorization with Adaboost Variant Classifier for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018, 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA).

ASSESSMENT OF EPILEPSY CLASSIFICATION USING TECHNIQUES SUCH AS SINGULAR VALUE DECOMPOSITION, APPROXIMATE ENTROPY, AND WEIGHTED K-NEAREST NEIGHBORS MEASURES

Harikumar Rajaguru, P SunilKumar, 2016 .

Oral cancer classification from hybrid ABC-PSO and Bayesian LDA

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing

Harikumar Rajaguru, Sunil Kumar Prabhakar, Sun-Hee Kim, 2020, Comput. Intell. Neurosci..

Performance Analysis of KNN Classifier with Various Distance Metrics Method for MRI Images

Harikumar Rajaguru, Karthick Ganesan, 2019 .

Analysis of Dimensionality Reduction Techniques with ABC-PSO Classifier for Classification of Epilepsy from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018 .

Plant Leaf Disease Detection Using Modified Segmentation Process and Classificatıon

Harikumar Rajaguru, K. Nirmalakumari, P. Rajkumar, 2019 .

PCA and DWT Based Gene Selection Technique for Classification of Microarray Data

Harikumar Rajaguru, K. Nirmalakumari, P. Rajkumar, 2018, 2018 3rd International Conference on Communication and Electronics Systems (ICCES).

GMM better than SRC for classifying epilepsy risk levels from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015, 2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS).

Analysis on Detection of Chronic Alcoholics from EEG Signal Segments—A Comparative Study Between Two Software Tools

Harikumar Rajaguru, Sunil Kumar Prabhakar, Vigneshkumar Arunachalam, 2018 .

Fuzzy Optimization with Modified Adaboost Classifier for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018 .

Thresholding and Clustering with Singular Value Decomposition for Alcoholic EEG Analysis

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2019 .

Isometric Mapping and Probabilistic Classifier for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2018, 2018 3rd International Conference on Communication and Electronics Systems (ICCES).

Epilepsy classification using fuzzy optimization and Kernel Fisher discriminant analysis

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Efficient Wireless System for Telemedicine Application with Reduced PAPR Using QMF Based PTS Technique for Epilepsy Classification from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017 .

Softmax discriminant classifier for detection of risk levels in alcoholic EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 International Conference on Computing Methodologies and Communication (ICCMC).

Fuzzy-Inspired Photoplethysmography Signal Classification with Bio-Inspired Optimization for Analyzing Cardiovascular Disorders

Harikumar Rajaguru, Sunil Kumar Prabhakar, Sun-Hee Kim, 2020, Diagnostics.

Intelligent Approach to Detect Human Liver Cancer in Abdominal CT Scan

Harikumar Rajaguru, Sandhiya Athiraj, 2018, 2018 Second International Conference on Computing Methodologies and Communication (ICCMC).

Performance analysis of particle swarm optimization technique in classification of dementia using MRI images

Harikumar Rajaguru, N Bharanidharan, 2017, 2017 2nd International Conference on Communication and Electronics Systems (ICCES).

Dementia MRI Classification Using Hybrid Dragonfly Based Support Vector Machine

Harikumar Rajaguru, N Bharanidharan, H. Rajaguru, 2019, 2019 IEEE R10 Humanitarian Technology Conference (R10-HTC)(47129).

Ensemble Flower-Pollination Algorithm for Automatic Breast Cancer Classification using Haar Features

Harikumar Rajaguru, S R Sannasi Chakravarthy, 2021 .

Classification of Dementia MRI Images Using Hybrid Meta-Heuristic Optimization Techniques Based on Harmony Search Algorithm

Harikumar Rajaguru, N. Bharanidharan, H. Rajaguru, 2021, 17th International Conference on Biomedical Engineering.

Analysis of Epilepsy Risk Levels from EEG Features through Support Vector Machine and Minimum Relative Entropy Model

Harikumar Rajaguru, Monish Ramesh, K Manoranjith, 2021 .

Domain Translation of Images Using Auto Encoders and Coupled GANs with Unsupervised Learning

Harikumar Rajaguru, Vigneshkumar Arunachalam, Vinubama Krishnamoorthy, 2021 .

Enhancing the performance of hybrid evolutionary algorithms in microarray colon data classification

Harikumar Rajaguru, K. Nirmalakumari, H. Rajaguru, 2021, Int. J. Imaging Syst. Technol..

Analysis on Wavelet Feature and Softmax Discriminant Classifier for the detection of epilepsy

Harikumar Rajaguru, R Deepa, C Ganesh Babu, 2021 .

Classification of B-Cell Acute Lymphoblastic Leukemia Microscopic Images Using Crow Search Algorithm

Harikumar Rajaguru, N. Bharanidharan, H. Rajaguru, 2021 .

Investigation on enhancing the binary classification accuracy of supervised classifiers using various transforms

Harikumar Rajaguru, N Bharanidharan, K. Issac, 2021, IOP Conference Series: Materials Science and Engineering.

Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels

Harikumar Rajaguru, Vijayakumar Thangavel, H. Rajaguru, 2014 .

An efficient classification of epilepsy risk levels from EEG signals using hard thresholding computation applied to code converters

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015, 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES).

PCA and K-means clustering for classification of epilepsy risk levels from EEG signals — A comparitive study between them

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015, 2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS).

Non linear ICA and logistic regression for classification of epilepsy from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

A Versatile Approach to Epilepsy Classification Using Approximate Entropy as Post Classifier

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2016 .

Factor analysis, Hessian Local Linear Embedding and Isomap for epilepsy classification from EEG

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2016, 2016 Electrical Engineering Conference (EECon).

Performance analysis of linear layer neural networks for oral cancer classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 6th ICT International Student Project Conference (ICT-ISPC).

SOFT THRESHOLDING TECHNIQUES WITH PCA AS POST CLASSIFIER FOR EPILEPSY RISK LEVEL CLASSIFICATION

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2016 .

Expectation maximization based logistic regression for breast cancer classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

Performance Comparison of Oral Cancer Classification with Gaussian Mixture Measures and Multi Layer Perceptron

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017 .

A different approach to epilepsy risk level classification utilizing various distance measures as post classifiers

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2015, 2015 8th Biomedical Engineering International Conference (BMEiCON).

Weighted KNN Measures for Epilepsy Classification from EEG signals utilized in Telemedicine Applications with a PSO Based Reduced PAPR and BER Analysis

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2016 .

Comparison of Fuzzy Output Optimization with Expectation Maximization Algorithm and Its Modification for Epilepsy Classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2018 .

An Exhaustive Analysis of Code Converters as Pre-Classifiers and K means, SVD, PCA, EM, MEM, PSO, HPSO and MRE as Post Classifiers for Classification of Epilepsy from EEG Signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2016 .

Sparse PCA and soft decision tree classifiers for epilepsy classification from EEG signals

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017, 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).

EM based non-linear regression and singular value decomposition for epilepsy classification

Harikumar Rajaguru, Sunil Kumar Prabhakar, 2017, 2017 6th ICT International Student Project Conference (ICT-ISPC).

A Comprehensive Analysis on Breast Cancer Classification with Radial Basis Function and Gaussian Mixture Model

Harikumar Rajaguru, Sunil Kumar Prabhakar, H. Rajaguru, 2017 .