Discriminant Function Revisited for Incremental Learning. - R. K. Agrawal 001; Rajni Bala; Manju Bala (ICVGIP, 2008)

Perturbation scheme for online learning of features: Incremental principal component analysis. - R. K. Agrawal 001; Karmeshu (Pattern Recognit., 2008)

Incremental Bayesian classification for multivariate normal distribution data. - R. K. Agrawal 001; Rajni Bala (Pattern Recognit. Lett., 2008)

Evaluation of Decision Tree SVM Framework Using Different Statistical Measures. - Manju Bala; R. K. Agrawal 001 (ARTCom, 2009)

Perturbation Scheme for Online Incremental Learning of Features for Face Recognition. - R. K. Agrawal 001; Ashish Chaudhary (DMIN, 2009)

Decision Tree SVM Framework Using Ratio of Interclass and Intraclass Scatters. - Manju Bala; R. K. Agrawal 001 (IICAI, 2009)

Evaluation of Feature Selection Measures for Steganalysis. - G. K. Rajput; R. K. Agrawal 001 (PReMI, 2009)

Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVM. - Manju Bala; Namita Aggarwal; R. K. Agrawal 001 (DMIN, 2010)

Entropy Based Clustering to Determine Discriminatory Genes for Microarray Dataset. - Rajni Bala; R. K. Agrawal 001 (IC3 (1), 2010)

Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure. - Rajni Bala; R. K. Agrawal 001; Manju Sardana (PAKDD (2), 2010)

Performance evaluation of linear subspace methods for face recognition under illumination variation. - Ajay Jaiswal; Ramesh K. Agrawal; Nitin Kumar 001 (C3S2E, 2011)

Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting. - Ratnadip Adhikari; R. K. Agrawal 001 (IICAI, 2011)

Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm. - Hanuman Verma; R. K. Agrawal 001 (IICAI, 2011)

Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brian Image. - Hanuman Verma; R. K. Agrawal 001 (SocProS (2), 2011)

Optimal Decision Tree Based Multi-class Support Vector Machine. - Manju Bala; R. K. Agrawal 001 (Informatica (Slovenia), 2011)

Mutual Information and Cross Entropy Framework to Determine Relevant Gene Subset for Cancer Classification. - Rajni Bala; R. K. Agrawal 001 (Informatica (Slovenia), 2011)

A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose. - Ajay Jaiswal; Nitin Kumar 001; Ramesh K. Agrawal (CIARP, 2012)

A three phase approach for mental task classification using EEG. - Akshansh Gupta; R. K. Agrawal 001; Baljeet Kaur (ICACCI, 2012)

Performance evaluation of subspace methods to tackle small sample size problem in face recognition. - Nitin Kumar 001; Ajay Jaiswal; Ramesh K. Agrawal (ICACCI, 2012)

Computer Aided Diagnosis of Alzheimer's Disease from MRI Brain Images. - Namita Aggarwal; Bharti 001; R. K. Agrawal 001 (ICIAR (2), 2012)

Statistical Framework for Facial Pose Classification. - Ajay Jaiswal; Nitin Kumar 001; R. K. Agrawal 001 (MICAI (1), 2012)

Salient Features Selection for Multiclass Texture Classification. - Bharti Rana 001; R. K. Agrawal 001 (MICAI (1), 2012)

Performance Evaluation of Ranking Methods for Relevant Gene Selection in Cancer Microarray Datasets. - Manju Sardana; Baljeet Kaur; R. K. Agrawal 001 (MICAI (1), 2012)

A Novel Weighted Ensemble Technique for Time Series Forecasting. - Ratnadip Adhikari; R. K. Agrawal 001 (PAKDD (1), 2012)

Relevant Feature Selection from EEG Signal for Mental Task Classification. - Akshansh Gupta; R. K. Agrawal 001 (PAKDD (2), 2012)

Combining multiple time series models through a robust weighted mechanism. - Ratnadip Adhikari; R. K. Agrawal 001 (RAIT, 2012)

Clustering in Conjunction with Wrapper Approach to Select Discriminatory Genes for Microarray Dataset Classification. - Rajni Bala; Ramesh K. Agrawal (Comput. Informatics, 2012)

Classification of Alzheimer's from T2 Trans-Axial Brain MR Images: A Comparative Study of Feature Extraction Techniques. - Namita Aggarwal; Bharti Rana 001; R. K. Agrawal 001 (Int. J. Comput. Vis. Image Process., 2012)

Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition. - Ajay Jaiswal; Nitin Kumar 001; R. K. Agrawal 001 (Int. J. Comput. Vis. Image Process., 2012)

Detection of Alzheimer's Disease via Statistical Features from Brain Slices. - Namita Aggarwal; Bharti Rana 001; R. K. Agrawal 001 (FLAIRS, 2013)

Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data. - Manju Sardana; R. K. Agrawal 001; Baljeet Kaur (PAKDD Workshops, 2013)

A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting - Ratnadip Adhikari; R. K. Agrawal 001 (CoRR, 2013)

An Introductory Study on Time Series Modeling and Forecasting - Ratnadip Adhikari; R. K. Agrawal 001 (CoRR, 2013)

PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting - Ratnadip Adhikari; R. K. Agrawal 001; Laxmi Kant (CoRR, 2013)

Hybridization of Artificial Neural Network and Particle Swarm Optimization Methods for Time Series Forecasting. - Ratnadip Adhikari; R. K. Agrawal 001 (Int. J. Appl. Evol. Comput., 2013)

A Novel Approach for Computer Aided Diagnosis of Schizophrenia using Auditory Oddball Functional MRI. - Akanksha Juneja; Bharti Rana 001; R. K. Agrawal 001 (ICVGIP, 2014)

A Novel Approach for Classification of Schizophrenia Patients and Healthy Subjects Using Auditory Oddball Functional MRI. - Akanksha Juneja; Bharti Rana 001; R. K. Agrawal 001 (MICAI (Special Sessions), 2014)

A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition. - Nitin Kumar 001; R. K. Agrawal 001; Ajay Jaiswal (SIRS, 2014)

Performance evaluation of weights selection schemes for linear combination of multiple forecasts. - Ratnadip Adhikari; R. K. Agrawal 001 (Artif. Intell. Rev., 2014)

Incremental and Decremental Exponential Discriminant Analysis for Face Recognition. - Nitin Kumar 001; R. K. Agrawal 001; Ajay Jaiswal (Int. J. Comput. Vis. Image Process., 2014)

Improved fuzzy entropy clustering algorithm for MRI brain image segmentation. - Hanuman Verma; Ramesh K. Agrawal; Naveen Kumar (Int. J. Imaging Syst. Technol., 2014)

A combination of artificial neural network and random walk models for financial time series forecasting. - Ratnadip Adhikari; R. K. Agrawal 001 (Neural Comput. Appl., 2014)

A linear hybrid methodology for improving accuracy of time series forecasting. - Ratnadip Adhikari; R. K. Agrawal 001 (Neural Comput. Appl., 2014)

A novel approach to combine features for salient object detection using constrained particle swarm optimization. - Navjot Singh 002; Rinki Arya; R. K. Agrawal 001 (Pattern Recognit., 2014)

Optimal Spatio-spectral Variable Size Subbands Filter for Motor Imagery Brain Computer Interface. - Jyoti Singh Kirar; R. K. Agrawal 001 (IHCI, 2015)

Regions-of-interest based automated diagnosis of Parkinson's disease using T1-weighted MRI. - Bharti Rana 001; Akanksha Juneja; Mohit Saxena; Sunita Gudwani; S. Senthil Kumaran; R. K. Agrawal 001; Madhuri Behari (Expert Syst. Appl., 2015)

Possibilistic Intuitionistic Fuzzy c-Means Clustering Algorithm for MRI Brain Image Segmentation. - Hanuman Verma; R. K. Agrawal 001 (Int. J. Artif. Intell. Tools, 2015)

Analysis and evaluation of regression-based methods for facial pose classification. - Ajay Jaiswal; Nitin Kumar 001; R. K. Agrawal 001 (Int. J. Appl. Pattern Recognit., 2015)

A combination of dual-tree discrete wavelet transform and minimum redundancy maximum relevance method for diagnosis of Alzheimer's disease. - Namita Aggarwal; Bharti Rana 001; R. K. Agrawal 001; S. Senthil Kumaran (Int. J. Bioinform. Res. Appl., 2015)

An incremental feature selection approach based on scatter matrices for classification of cancer microarray data. - Manju Sardana; R. K. Agrawal 001; Baljeet Kaur (Int. J. Comput. Math., 2015)

Relevant Feature Subset Selection from Ensemble of Multiple Feature Extraction Methods for Texture Classification. - Bharti Rana 001; Akanksha Juneja; Ramesh K. Agrawal (Int. J. Comput. Vis. Image Process., 2015)

3d discrete wavelet transform for computer aided diagnosis of Alzheimer's disease using t1-weighted brain MRI. - Namita Aggarwal; Bharti Rana 001; R. K. Agrawal 001 (Int. J. Imaging Syst. Technol., 2015)

Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI. - Bharti Rana 001; Akanksha Juneja; Mohit Saxena; Sunita Gudwani; S. Senthil Kumaran; Madhuri Behari; R. K. Agrawal 001 (Int. J. Imaging Syst. Technol., 2015)

Block LDA via QR-decomposition for face recognition with single image per person. - Nitin Kumar 001; R. K. Agrawal 001 (Int. J. Knowl. Based Intell. Eng. Syst., 2015)

Combination of Kullback-Leibler divergence and Manhattan distance measures to detect salient objects. - Navjot Singh 002; R. K. Agrawal 001 (Signal Image Video Process., 2015)

Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods. - Akshansh Gupta; R. K. Agrawal 001; Baljeet Kaur (Soft Comput., 2015)

Voxel-based morphometry and minimum redundancy maximum relevance method for classification of Parkinson's disease and controls from T1-weighted MRI. - Bharti Rana 001; Akanksha Juneja; Mohit Saxena; Sunita Gudwani; S. Senthil Kumaran; R. K. Agrawal 001; Madhuri Behari (ICVGIP, 2016)

Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification. - Dhirendra Kumar; Ramesh Kumar Agrawal (SoCPaR, 2016)

An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation. - Hanuman Verma; R. K. Agrawal 001; Aditi Sharan (Appl. Soft Comput., 2016)

A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI. - Akanksha Juneja; Bharti Rana 001; R. K. Agrawal 001 (Biomed. Signal Process. Control., 2016)

Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition. - Nitin Kumar 001; Ramesh K. Agrawal; Ajay Jaiswal (Comput. Informatics, 2016)

A convex hull approach in conjunction with Gaussian mixture model for salient object detection. - Navjot Singh 002; Rinki Arya; R. K. Agrawal 001 (Digit. Signal Process., 2016)

Two-dimensional exponential discriminant analysis for small sample size in face recognition. - Nitin Kumar 001; R. K. Agrawal 001 (Int. J. Artif. Intell. Soft Comput., 2016)

A hybrid of clustering and quantum genetic algorithm for relevant genes selection for cancer microarray data. - Manju Sardana; R. K. Agrawal 001; Baljeet Kaur (Int. J. Knowl. Based Intell. Eng. Syst., 2016)

A novel hybrid approach for salient object detection using local and global saliency in frequency domain. - Rinki Arya; Navjot Singh 002; R. K. Agrawal 001 (Multim. Tools Appl., 2016)

Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks. - Jyoti Singh Kirar; Ayesha Choudhary; R. K. Agrawal 001 (PReMI, 2017)

A novel combination of second-order statistical features and segmentation using multi-layer superpixels for salient object detection. - Rinki Arya; Navjot Singh 002; R. K. Agrawal 001 (Appl. Intell., 2017)

Composite kernel support vector machine based performance enhancement of brain computer interface in conjunction with spatial filter. - Jyoti Singh Kirar; R. K. Agrawal 001 (Biomed. Signal Process. Control., 2017)

Relevant 3D local binary pattern based features from fused feature descriptor for differential diagnosis of Parkinson's disease using structural MRI. - Bharti Rana 001; Akanksha Juneja; Mohit Saxena; Sunita Gudwani; S. Senthil Kumaran; Madhuri Behari; R. K. Agrawal 001 (Biomed. Signal Process. Control., 2017)

An enhanced texture-based image retrieval approach with features selected from integration of feature extraction techniques. - Akanksha Juneja; Bharti Rana 001; R. K. Agrawal 001 (Int. J. Comput. Vis. Robotics, 2017)

A novel position prior using fusion of rule of thirds and image center for salient object detection. - Navjot Singh 002; Rinki Arya; R. K. Agrawal 001 (Multim. Tools Appl., 2017)

Relevant Frequency Band Selection using Sequential Forward Feature Selection for Motor Imagery Brain Computer Interfaces. - Jyoti Singh Kirar; R. K. Agrawal 001 (SSCI, 2018)

A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI. - Akanksha Juneja; Bharti Rana 001; R. K. Agrawal 001 (Comput. Methods Programs Biomed., 2018)

Analysis of the SIRP epidemic model with anti-worm patching. - Utkarsh Niranjan; Ramesh Kumar Agrawal; Brejesh Lall (Int. J. Comput. Math. Comput. Syst. Theory, 2018)

Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG. - Jyoti Singh Kirar; R. K. Agrawal 001 (J. Medical Syst., 2018)

Performance enhancement of salient object detection using superpixel based Gaussian mixture model. - Navjot Singh 002; Rinki Arya; R. K. Agrawal 001 (Multim. Tools Appl., 2018)

fMRI based computer aided diagnosis of schizophrenia using fuzzy kernel feature extraction and hybrid feature selection. - Akanksha Juneja; Bharti Rana 001; R. K. Agrawal 001 (Multim. Tools Appl., 2018)

Deep Learning Models for Medical Image Analysis: Challenges and Future Directions. - R. K. Agrawal 001; Akanksha Juneja (BDA, 2019)

Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation. - Dhirendra Kumar; Ramesh Kumar Agrawal; Jyoti Singh Kirar (FUZZ-IEEE, 2019)

Enhanced Depression Detection from Facial Cues Using Univariate Feature Selection Techniques. - Swati Rathi; Baljeet Kaur; R. K. Agrawal 001 (PReMI (1), 2019)

A mean-field-theoretic model for dual information propagation in networks. - Utkarsh Niranjan; Anurag Singh 001; Ramesh Kumar Agrawal (J. Complex Networks, 2019)

A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation. - Rinki Arya; R. K. Agrawal 001; Navjot Singh 002 (Knowl. Inf. Syst., 2019)

Role of surfacelet transform in diagnosing Alzheimer's disease. - Namita Aggarwal; Bharti Rana 001; R. K. Agrawal 001 (Multidimens. Syst. Signal Process., 2019)

A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image. - Dhirendra Kumar; Hanuman Verma; Aparna Mehra; R. K. Agrawal 001 (Multim. Tools Appl., 2019)

Quantum based Whale Optimization Algorithm for wrapper feature selection. - R. K. Agrawal 001; Baljeet Kaur; Surbhi Sharma (Appl. Soft Comput., 2020)

A combination of spectral graph theory and quantum genetic algorithm to find relevant set of electrodes for motor imagery classification. - Jyoti Singh Kirar; R. K. Agrawal 001 (Appl. Soft Comput., 2020)

A hierarchical meta-model for multi-class mental task based brain-computer interfaces. - Akshansh Gupta; R. K. Agrawal 001; Jyoti Singh Kirar; Baljeet Kaur; Weiping Ding 001; Chin-Teng Lin; Javier Andreu-Perez; Mukesh Prasad (Neurocomputing, 2020)

A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment. - Harsh Bhasin; Ramesh Kumar Agrawal (BMC Medical Informatics Decis. Mak., 2020)

Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation. - Dhirendra Kumar; R. K. Agrawal 001; Hanuman Verma (Soft Comput., 2020)

Applicability of Manually Crafted Convolutional Neural Network for Classification of Mild Cognitive Impairment. - Harsh Bhasin; R. K. Agrawal 001 (ACCC, 2021)

Multiple-Activation Parallel Convolution Network in Combination with t-SNE for the Classification of Mild Cognitive Impairment. - Harsh Bhasin; R. K. Agrawal 001 (BIBE, 2021)

Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation. - Puneet Kumar; Dhirendra Kumar; Ramesh Kumar Agrawal (CVIP (2), 2021)

Study of 2D Feature Extraction Techniques for Classification of Spinocerebellar Ataxia Type 12 (SCA12). - Snigdha Agrawal; S. Senthil Kumaran; Achal Kumar Srivastava; Ramesh Kumar Agrawal; Manpreet Kaur Narang (MedInfo, 2021)

Quantum inspired Particle Swarm Optimization with guided exploration for function optimization. - R. K. Agrawal 001; Baljeet Kaur; Parul Agarwal (Appl. Soft Comput., 2021)

On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. - Akshansh Gupta; Ramesh Kumar Agrawal; Jyoti Singh Kirar; Javier Andreu-Perez; Weiping Ding 001; Chin-Teng Lin; Mukesh Prasad (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Kullback-Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation. - Puneet Kumar; R. K. Agrawal 001; Dhirendra Kumar (CVMI, 2022)

Multi-objective particle swarm optimization with guided exploration for multimodal problems. - Parul Agarwal; R. K. Agrawal 001; Baljeet Kaur (Appl. Soft Comput., 2022)

Enhanced depression detection from speech using Quantum Whale Optimization Algorithm for feature selection. - Baljeet Kaur; Swati Rathi; R. K. Agrawal 001 (Comput. Biol. Medicine, 2022)

Selection of Relevant Visual Feature Sets for Enhanced Depression Detection using Incremental Linear Discriminant Analysis. - Swati Rathi; Baljeet Kaur; R. K. Agrawal 001 (Multim. Tools Appl., 2022)

Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image. - Puneet Kumar; Dhirendra Kumar; Ramesh Kumar Agrawal (Neural Comput. Appl., 2022)

Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation. - Dhirendra Kumar; R. K. Agrawal 001; Puneet Kumar (IEEE Trans. Fuzzy Syst., 2022)

Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation. - Puneet Kumar; R. K. Agrawal 001; Dhirendra Kumar (Appl. Soft Comput., 2023)

IterMiUnet: A lightweight architecture for automatic blood vessel segmentation. - Ashish Kumar 008; R. K. Agrawal 001; Leve Joseph (Multim. Tools Appl., 2023)

Neutrosophic Clustering Method with Local Spatial Information for Dermoscopic Image Segmentation. - Avni Mishra; R. K. Agrawal 001; Pinki Kumari (BDA, 2024)

Performance Evaluation of Thermography-Based Computer-Aided Diagnostic Systems for Detecting Breast Cancer: An Empirical Study. - Trasha Gupta; R. K. Agrawal 001; Rishu Sangal; S. Avinash Rao (ACM Trans. Comput. Heal., 2024)

Noise and cluster size insensitive robust weighted fuzzy clustering for medical image segmentation. - Aditi Priya; R. K. Agrawal 001; Bharti Rana 001 (Soft Comput., 2024)

Weighted fuzzy clustering approach with adaptive spatial information and Kullback-Leibler divergence for skin lesion segmentation. - Pinki Kumari; R. K. Agrawal 001; Aditi Priya (Int. J. Mach. Learn. Cybern., 2025)