R. K. Agrawal

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 36

Top Topics

Feature Selection

Intuitionistic Fuzzy

Top Venues

Multim. Tools Appl.

Appl. Soft Comput.

Biomed. Signal Process. Control.

Publications

Ashish Kumar, R. K. Agrawal, Leve Joseph
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation. Multim. Tools Appl. 82 (28) (2023)
Puneet Kumar, R. K. Agrawal, Dhirendra Kumar
Kullback-Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation. CVMI (2022)
Baljeet Kaur, Swati Rathi, R. K. Agrawal
Enhanced depression detection from speech using Quantum Whale Optimization Algorithm for feature selection. Comput. Biol. Medicine 150 (2022)
Dhirendra Kumar, R. K. Agrawal, Puneet Kumar
Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation. IEEE Trans. Fuzzy Syst. 30 (3) (2022)
Parul Agarwal, R. K. Agrawal, Baljeet Kaur
Multi-objective particle swarm optimization with guided exploration for multimodal problems. Appl. Soft Comput. 120 (2022)
Swati Rathi, Baljeet Kaur, R. K. Agrawal
Selection of Relevant Visual Feature Sets for Enhanced Depression Detection using Incremental Linear Discriminant Analysis. Multim. Tools Appl. 81 (13) (2022)
Harsh Bhasin, R. K. Agrawal
Multiple-Activation Parallel Convolution Network in Combination with t-SNE for the Classification of Mild Cognitive Impairment. BIBE (2021)
Harsh Bhasin, R. K. Agrawal
Applicability of Manually Crafted Convolutional Neural Network for Classification of Mild Cognitive Impairment. ACCC (2021)
R. K. Agrawal, Baljeet Kaur, Parul Agarwal
Quantum inspired Particle Swarm Optimization with guided exploration for function optimization. Appl. Soft Comput. 102 (2021)
R. K. Agrawal, Baljeet Kaur, Surbhi Sharma
Quantum based Whale Optimization Algorithm for wrapper feature selection. Appl. Soft Comput. 89 (2020)
Dhirendra Kumar, R. K. Agrawal, Hanuman Verma
Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation. Soft Comput. 24 (6) (2020)
Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad
A hierarchical meta-model for multi-class mental task based brain-computer interfaces. Neurocomputing 389 (2020)
Jyoti Singh Kirar, R. K. Agrawal
A combination of spectral graph theory and quantum genetic algorithm to find relevant set of electrodes for motor imagery classification. Appl. Soft Comput. 97 (Part B) (2020)
Rinki Arya, R. K. Agrawal, Navjot Singh
A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation. Knowl. Inf. Syst. 60 (1) (2019)
Dhirendra Kumar, Hanuman Verma, Aparna Mehra, R. K. Agrawal
A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image. Multim. Tools Appl. 78 (10) (2019)
R. K. Agrawal, Akanksha Juneja
Deep Learning Models for Medical Image Analysis: Challenges and Future Directions. BDA (2019)
Namita Aggarwal, Bharti Rana, R. K. Agrawal
Role of surfacelet transform in diagnosing Alzheimer's disease. Multidimens. Syst. Signal Process. 30 (4) (2019)
Swati Rathi, Baljeet Kaur, R. K. Agrawal
Enhanced Depression Detection from Facial Cues Using Univariate Feature Selection Techniques. PReMI (1) (2019)
Jyoti Singh Kirar, R. K. Agrawal
Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG. J. Medical Syst. 42 (5) (2018)
Jyoti Singh Kirar, R. K. Agrawal
Relevant Frequency Band Selection using Sequential Forward Feature Selection for Motor Imagery Brain Computer Interfaces. SSCI (2018)
Akanksha Juneja, Bharti Rana, R. K. Agrawal
A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI. Comput. Methods Programs Biomed. 155 (2018)
Navjot Singh, Rinki Arya, R. K. Agrawal
Performance enhancement of salient object detection using superpixel based Gaussian mixture model. Multim. Tools Appl. 77 (7) (2018)
Akanksha Juneja, Bharti Rana, R. K. Agrawal
fMRI based computer aided diagnosis of schizophrenia using fuzzy kernel feature extraction and hybrid feature selection. Multim. Tools Appl. 77 (3) (2018)
Akanksha Juneja, Bharti Rana, R. K. Agrawal
An enhanced texture-based image retrieval approach with features selected from integration of feature extraction techniques. Int. J. Comput. Vis. Robotics 7 (4) (2017)
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, Madhuri Behari, R. K. Agrawal
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. 34 (2017)
Rinki Arya, Navjot Singh, R. K. Agrawal
A novel combination of second-order statistical features and segmentation using multi-layer superpixels for salient object detection. Appl. Intell. 46 (2) (2017)
Jyoti Singh Kirar, Ayesha Choudhary, R. K. Agrawal
Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks. PReMI (2017)
Navjot Singh, Rinki Arya, R. K. Agrawal
A novel position prior using fusion of rule of thirds and image center for salient object detection. Multim. Tools Appl. 76 (8) (2017)
Jyoti Singh Kirar, R. K. Agrawal
Composite kernel support vector machine based performance enhancement of brain computer interface in conjunction with spatial filter. Biomed. Signal Process. Control. 33 (2017)
Manju Sardana, R. K. Agrawal, Baljeet Kaur
A hybrid of clustering and quantum genetic algorithm for relevant genes selection for cancer microarray data. Int. J. Knowl. Based Intell. Eng. Syst. 20 (3) (2016)
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, R. K. Agrawal, Madhuri Behari
Voxel-based morphometry and minimum redundancy maximum relevance method for classification of Parkinson's disease and controls from T1-weighted MRI. ICVGIP (2016)
Nitin Kumar, R. K. Agrawal
Two-dimensional exponential discriminant analysis for small sample size in face recognition. Int. J. Artif. Intell. Soft Comput. 5 (3) (2016)
Rinki Arya, Navjot Singh, R. K. Agrawal
A novel hybrid approach for salient object detection using local and global saliency in frequency domain. Multim. Tools Appl. 75 (14) (2016)
Navjot Singh, Rinki Arya, R. K. Agrawal
A convex hull approach in conjunction with Gaussian mixture model for salient object detection. Digit. Signal Process. 55 (2016)
Hanuman Verma, R. K. Agrawal, Aditi Sharan
An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation. Appl. Soft Comput. 46 (2016)
Akanksha Juneja, Bharti Rana, R. K. Agrawal
A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI. Biomed. Signal Process. Control. 27 (2016)
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, R. K. Agrawal, Madhuri Behari
Regions-of-interest based automated diagnosis of Parkinson's disease using T1-weighted MRI. Expert Syst. Appl. 42 (9) (2015)
Namita Aggarwal, Bharti Rana, R. K. Agrawal
3d discrete wavelet transform for computer aided diagnosis of Alzheimer's disease using t1-weighted brain MRI. Int. J. Imaging Syst. Technol. 25 (2) (2015)
Nitin Kumar, R. K. Agrawal
Block LDA via QR-decomposition for face recognition with single image per person. Int. J. Knowl. Based Intell. Eng. Syst. 19 (3) (2015)
Jyoti Singh Kirar, R. K. Agrawal
Optimal Spatio-spectral Variable Size Subbands Filter for Motor Imagery Brain Computer Interface. IHCI (2015)
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, Madhuri Behari, R. K. Agrawal
Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI. Int. J. Imaging Syst. Technol. 25 (3) (2015)
Navjot Singh, R. K. Agrawal
Combination of Kullback-Leibler divergence and Manhattan distance measures to detect salient objects. Signal Image Video Process. 9 (2) (2015)
Hanuman Verma, R. K. Agrawal
Possibilistic Intuitionistic Fuzzy c-Means Clustering Algorithm for MRI Brain Image Segmentation. Int. J. Artif. Intell. Tools 24 (5) (2015)
Manju Sardana, R. K. Agrawal, Baljeet Kaur
An incremental feature selection approach based on scatter matrices for classification of cancer microarray data. Int. J. Comput. Math. 92 (2) (2015)
Akshansh Gupta, R. K. Agrawal, Baljeet Kaur
Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods. Soft Comput. 19 (10) (2015)
Namita Aggarwal, Bharti Rana, R. K. Agrawal, S. Senthil Kumaran
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. 11 (5) (2015)
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
Analysis and evaluation of regression-based methods for facial pose classification. Int. J. Appl. Pattern Recognit. 2 (1) (2015)
Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition. SIRS (2014)
Ratnadip Adhikari, R. K. Agrawal
A linear hybrid methodology for improving accuracy of time series forecasting. Neural Comput. Appl. 25 (2) (2014)
Navjot Singh, Rinki Arya, R. K. Agrawal
A novel approach to combine features for salient object detection using constrained particle swarm optimization. Pattern Recognit. 47 (4) (2014)
Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
Incremental and Decremental Exponential Discriminant Analysis for Face Recognition. Int. J. Comput. Vis. Image Process. 4 (1) (2014)
Akanksha Juneja, Bharti Rana, R. K. Agrawal
A Novel Approach for Classification of Schizophrenia Patients and Healthy Subjects Using Auditory Oddball Functional MRI. MICAI (Special Sessions) (2014)
Ratnadip Adhikari, R. K. Agrawal
A combination of artificial neural network and random walk models for financial time series forecasting. Neural Comput. Appl. 24 (6) (2014)
Ratnadip Adhikari, R. K. Agrawal
Performance evaluation of weights selection schemes for linear combination of multiple forecasts. Artif. Intell. Rev. 42 (4) (2014)
Akanksha Juneja, Bharti Rana, R. K. Agrawal
A Novel Approach for Computer Aided Diagnosis of Schizophrenia using Auditory Oddball Functional MRI. ICVGIP (2014)
Manju Sardana, R. K. Agrawal, Baljeet Kaur
Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data. PAKDD Workshops (2013)
Ratnadip Adhikari, R. K. Agrawal
Combining Multiple Time Series Models Through A Robust Weighted Mechanism CoRR (2013)
Namita Aggarwal, Bharti Rana, R. K. Agrawal
Detection of Alzheimer's Disease via Statistical Features from Brain Slices. FLAIRS Conference (2013)
Ratnadip Adhikari, R. K. Agrawal
A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting CoRR (2013)
Ratnadip Adhikari, R. K. Agrawal, Laxmi Kant
PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting CoRR (2013)
Ratnadip Adhikari, R. K. Agrawal
An Introductory Study on Time Series Modeling and Forecasting CoRR (2013)
Ratnadip Adhikari, R. K. Agrawal
Hybridization of Artificial Neural Network and Particle Swarm Optimization Methods for Time Series Forecasting. Int. J. Appl. Evol. Comput. 4 (3) (2013)
Namita Aggarwal, Bharti Rana, R. K. Agrawal
Classification of Alzheimer's from T2 Trans-Axial Brain MR Images: A Comparative Study of Feature Extraction Techniques. Int. J. Comput. Vis. Image Process. 2 (3) (2012)
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition. Int. J. Comput. Vis. Image Process. 2 (2) (2012)
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
Statistical Framework for Facial Pose Classification. MICAI (1) (2012)
Manju Sardana, Baljeet Kaur, R. K. Agrawal
Performance Evaluation of Ranking Methods for Relevant Gene Selection in Cancer Microarray Datasets. MICAI (1) (2012)
Bharti Rana, R. K. Agrawal
Salient Features Selection for Multiclass Texture Classification. MICAI (1) (2012)
Ratnadip Adhikari, R. K. Agrawal
A Novel Weighted Ensemble Technique for Time Series Forecasting. PAKDD (1) (2012)
Namita Aggarwal, Bharti, R. K. Agrawal
Computer Aided Diagnosis of Alzheimer's Disease from MRI Brain Images. ICIAR (2) (2012)
Akshansh Gupta, R. K. Agrawal, Baljeet Kaur
A three phase approach for mental task classification using EEG. ICACCI (2012)
Akshansh Gupta, R. K. Agrawal
Relevant Feature Selection from EEG Signal for Mental Task Classification. PAKDD (2) (2012)
Ratnadip Adhikari, R. K. Agrawal
Combining multiple time series models through a robust weighted mechanism. RAIT (2012)
Ratnadip Adhikari, R. K. Agrawal
Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting. IICAI (2011)
Hanuman Verma, R. K. Agrawal
Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brian Image. SocProS (2) (2011)
Rajni Bala, R. K. Agrawal
Mutual Information and Cross Entropy Framework to Determine Relevant Gene Subset for Cancer Classification. Informatica (Slovenia) 35 (3) (2011)
Manju Bala, R. K. Agrawal
Optimal Decision Tree Based Multi-class Support Vector Machine. Informatica (Slovenia) 35 (2) (2011)
Hanuman Verma, R. K. Agrawal
Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm. IICAI (2011)
Rajni Bala, R. K. Agrawal, Manju Sardana
Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure. PAKDD (2) (2010)
Rajni Bala, R. K. Agrawal
Entropy Based Clustering to Determine Discriminatory Genes for Microarray Dataset. IC3 (1) (2010)
Manju Bala, Namita Aggarwal, R. K. Agrawal
Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVM. DMIN (2010)
G. K. Rajput, R. K. Agrawal
Evaluation of Feature Selection Measures for Steganalysis. PReMI (2009)
Manju Bala, R. K. Agrawal
Evaluation of Decision Tree SVM Framework Using Different Statistical Measures. ARTCom (2009)
Manju Bala, R. K. Agrawal
Decision Tree SVM Framework Using Ratio of Interclass and Intraclass Scatters. IICAI (2009)
R. K. Agrawal, Ashish Chaudhary
Perturbation Scheme for Online Incremental Learning of Features for Face Recognition. DMIN (2009)
R. K. Agrawal, Karmeshu
Perturbation scheme for online learning of features: Incremental principal component analysis. Pattern Recognit. 41 (5) (2008)
R. K. Agrawal, Rajni Bala
Incremental Bayesian classification for multivariate normal distribution data. Pattern Recognit. Lett. 29 (13) (2008)
R. K. Agrawal, Rajni Bala, Manju Bala
Discriminant Function Revisited for Incremental Learning. ICVGIP (2008)