R. K. Agrawal
Orcid: 0000-0003-3122-5096Affiliations:
- Jawaharlal Nehru University, New Delhi, India
According to our database1,
R. K. Agrawal
authored at least 103 papers
between 2008 and 2023.
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Bibliography
2023
Multim. Tools Appl., November, 2023
Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation.
Appl. Soft Comput., January, 2023
2022
Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation.
IEEE Trans. Fuzzy Syst., 2022
Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image.
Neural Comput. Appl., 2022
Selection of Relevant Visual Feature Sets for Enhanced Depression Detection using Incremental Linear Discriminant Analysis.
Multim. Tools Appl., 2022
Enhanced depression detection from speech using Quantum Whale Optimization Algorithm for feature selection.
Comput. Biol. Medicine, 2022
Multi-objective particle swarm optimization with guided exploration for multimodal problems.
Appl. Soft Comput., 2022
Kullback-Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation.
Proceedings of the Computer Vision and Machine Intelligence, 2022
2021
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Quantum inspired Particle Swarm Optimization with guided exploration for function optimization.
Appl. Soft Comput., 2021
Study of 2D Feature Extraction Techniques for Classification of Spinocerebellar Ataxia Type 12 (SCA12).
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021
Multiple-Activation Parallel Convolution Network in Combination with t-SNE for the Classification of Mild Cognitive Impairment.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
Applicability of Manually Crafted Convolutional Neural Network for Classification of Mild Cognitive Impairment.
Proceedings of the 2nd Asia Conference on Computers and Communications, 2021
2020
Soft Comput., 2020
A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment.
BMC Medical Informatics Decis. Mak., 2020
A hierarchical meta-model for multi-class mental task based brain-computer interfaces.
Neurocomputing, 2020
A combination of spectral graph theory and quantum genetic algorithm to find relevant set of electrodes for motor imagery classification.
Appl. Soft Comput., 2020
Appl. Soft Comput., 2020
2019
A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image.
Multim. Tools Appl., 2019
Multidimens. Syst. Signal Process., 2019
A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation.
Knowl. Inf. Syst., 2019
J. Complex Networks, 2019
Enhanced Depression Detection from Facial Cues Using Univariate Feature Selection Techniques.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019
Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the Big Data Analytics - 7th International Conference, 2019
2018
fMRI based computer aided diagnosis of schizophrenia using fuzzy kernel feature extraction and hybrid feature selection.
Multim. Tools Appl., 2018
Performance enhancement of salient object detection using superpixel based Gaussian mixture model.
Multim. Tools Appl., 2018
Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG.
J. Medical Syst., 2018
Int. J. Comput. Math. Comput. Syst. Theory, 2018
A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI.
Comput. Methods Programs Biomed., 2018
Relevant Frequency Band Selection using Sequential Forward Feature Selection for Motor Imagery Brain Computer Interfaces.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
2017
A novel position prior using fusion of rule of thirds and image center for salient object detection.
Multim. Tools Appl., 2017
An enhanced texture-based image retrieval approach with features selected from integration of feature extraction techniques.
Int. J. Comput. Vis. Robotics, 2017
Relevant 3D local binary pattern based features from fused feature descriptor for differential diagnosis of Parkinson's disease using structural MRI.
Biomed. Signal Process. Control., 2017
Composite kernel support vector machine based performance enhancement of brain computer interface in conjunction with spatial filter.
Biomed. Signal Process. Control., 2017
A novel combination of second-order statistical features and segmentation using multi-layer superpixels for salient object detection.
Appl. Intell., 2017
Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017
2016
A novel hybrid approach for salient object detection using local and global saliency in frequency domain.
Multim. Tools Appl., 2016
A hybrid of clustering and quantum genetic algorithm for relevant genes selection for cancer microarray data.
Int. J. Knowl. Based Intell. Eng. Syst., 2016
Two-dimensional exponential discriminant analysis for small sample size in face recognition.
Int. J. Artif. Intell. Soft Comput., 2016
A convex hull approach in conjunction with Gaussian mixture model for salient object detection.
Digit. Signal Process., 2016
Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition.
Comput. Informatics, 2016
A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI.
Biomed. Signal Process. Control., 2016
An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation.
Appl. Soft Comput., 2016
Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016
Voxel-based morphometry and minimum redundancy maximum relevance method for classification of Parkinson's disease and controls from T1-weighted MRI.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016
2015
Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods.
Soft Comput., 2015
Combination of Kullback-Leibler divergence and Manhattan distance measures to detect salient objects.
Signal Image Video Process., 2015
Int. J. Knowl. Based Intell. Eng. Syst., 2015
Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI.
Int. J. Imaging Syst. Technol., 2015
3d discrete wavelet transform for computer aided diagnosis of Alzheimer's disease using t1-weighted brain MRI.
Int. J. Imaging Syst. Technol., 2015
Relevant Feature Subset Selection from Ensemble of Multiple Feature Extraction Methods for Texture Classification.
Int. J. Comput. Vis. Image Process., 2015
An incremental feature selection approach based on scatter matrices for classification of cancer microarray data.
Int. J. Comput. Math., 2015
A combination of dual-tree discrete wavelet transform and minimum redundancy maximum relevance method for diagnosis of Alzheimer's disease.
Int. J. Bioinform. Res. Appl., 2015
Int. J. Appl. Pattern Recognit., 2015
Possibilistic Intuitionistic Fuzzy c-Means Clustering Algorithm for MRI Brain Image Segmentation.
Int. J. Artif. Intell. Tools, 2015
Regions-of-interest based automated diagnosis of Parkinson's disease using T1-weighted MRI.
Expert Syst. Appl., 2015
Optimal Spatio-spectral Variable Size Subbands Filter for Motor Imagery Brain Computer Interface.
Proceedings of the Proceeding of the Seventh International Conference on Intelligent Human Computer Interaction, 2015
2014
A novel approach to combine features for salient object detection using constrained particle swarm optimization.
Pattern Recognit., 2014
Neural Comput. Appl., 2014
A combination of artificial neural network and random walk models for financial time series forecasting.
Neural Comput. Appl., 2014
Int. J. Imaging Syst. Technol., 2014
Int. J. Comput. Vis. Image Process., 2014
Performance evaluation of weights selection schemes for linear combination of multiple forecasts.
Artif. Intell. Rev., 2014
A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014
A Novel Approach for Classification of Schizophrenia Patients and Healthy Subjects Using Auditory Oddball Functional MRI.
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014
A Novel Approach for Computer Aided Diagnosis of Schizophrenia using Auditory Oddball Functional MRI.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
2013
Hybridization of Artificial Neural Network and Particle Swarm Optimization Methods for Time Series Forecasting.
Int. J. Appl. Evol. Comput., 2013
PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting
CoRR, 2013
CoRR, 2013
Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
2012
Int. J. Comput. Vis. Image Process., 2012
Classification of Alzheimer's from T2 Trans-Axial Brain MR Images: A Comparative Study of Feature Extraction Techniques.
Int. J. Comput. Vis. Image Process., 2012
Clustering in Conjunction with Wrapper Approach to Select Discriminatory Genes for Microarray Dataset Classification.
Comput. Informatics, 2012
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Performance Evaluation of Ranking Methods for Relevant Gene Selection in Cancer Microarray Datasets.
Proceedings of the Advances in Artificial Intelligence, 2012
Proceedings of the Advances in Artificial Intelligence, 2012
Proceedings of the Advances in Artificial Intelligence, 2012
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012
Performance evaluation of subspace methods to tackle small sample size problem in face recognition.
Proceedings of the 2012 International Conference on Advances in Computing, 2012
Proceedings of the 2012 International Conference on Advances in Computing, 2012
A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
2011
Mutual Information and Cross Entropy Framework to Determine Relevant Gene Subset for Cancer Classification.
Informatica (Slovenia), 2011
Informatica (Slovenia), 2011
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011
Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011
Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011
Performance evaluation of linear subspace methods for face recognition under illumination variation.
Proceedings of the Fourth International C* Conference on Computer Science & Software Engineering, 2011
2010
Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the Contemporary Computing - Third International Conference, 2010
Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVM.
Proceedings of The 2010 International Conference on Data Mining, 2010
2009
Proceedings of the Pattern Recognition and Machine Intelligence, 2009
Decision Tree SVM Framework Using Ratio of Interclass and Intraclass Scatters.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009
Perturbation Scheme for Online Incremental Learning of Features for Face Recognition.
Proceedings of The 2009 International Conference on Data Mining, 2009
Proceedings of the ARTCom 2009, 2009
2008
Pattern Recognit. Lett., 2008
Perturbation scheme for online learning of features: Incremental principal component analysis.
Pattern Recognit., 2008
Proceedings of the Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008