R. K. Agrawal

96 papers C 1Misc 1Journal 59Unranked 32
YearRankTypeTitle / Venue / Authors
2025 J jnl
Weighted fuzzy clustering approach with adaptive spatial information and Kullback-Leibler divergence for skin lesion segmentation.
Int. J. Mach. Learn. Cybern.
Pinki Kumari, R. K. Agrawal, Aditi Priya
2024 — conf
Neutrosophic Clustering Method with Local Spatial Information for Dermoscopic Image Segmentation.
BDA
Avni Mishra, R. K. Agrawal, Pinki Kumari
2024 J jnl
Noise and cluster size insensitive robust weighted fuzzy clustering for medical image segmentation.
Soft Comput.
Aditi Priya, R. K. Agrawal, Bharti Rana
2024 J jnl
Performance Evaluation of Thermography-Based Computer-Aided Diagnostic Systems for Detecting Breast Cancer: An Empirical Study.
ACM Trans. Comput. Heal.
Trasha Gupta, R. K. Agrawal, Rishu Sangal, S. Avinash Rao
2023 J jnl
Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation.
Appl. Soft Comput.
Puneet Kumar, R. K. Agrawal, Dhirendra Kumar
2023 J jnl
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation.
Multim. Tools Appl.
Ashish Kumar, R. K. Agrawal, Leve Joseph
2022 J jnl
Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation.
IEEE Trans. Fuzzy Syst.
Dhirendra Kumar, R. K. Agrawal, Puneet Kumar
2022 J jnl
Enhanced depression detection from speech using Quantum Whale Optimization Algorithm for feature selection.
Comput. Biol. Medicine
Baljeet Kaur, Swati Rathi, R. K. Agrawal
2022 J jnl
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation.
CoRR
Ashish Kumar, R. K. Agrawal, Leve Joseph
2022 — conf
Kullback-Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation.
CVMI
Puneet Kumar, R. K. Agrawal, Dhirendra Kumar
2022 J jnl
Multi-objective particle swarm optimization with guided exploration for multimodal problems.
Appl. Soft Comput.
Parul Agarwal, R. K. Agrawal, Baljeet Kaur
2022 J jnl
Selection of Relevant Visual Feature Sets for Enhanced Depression Detection using Incremental Linear Discriminant Analysis.
Multim. Tools Appl.
Swati Rathi, Baljeet Kaur, R. K. Agrawal
2021 — ed.
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I
PAKDD (1)
Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021 — ed.
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II
PAKDD (2)
Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021 — ed.
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III
PAKDD (3)
Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021 — conf
Applicability of Manually Crafted Convolutional Neural Network for Classification of Mild Cognitive Impairment.
ACCC
Harsh Bhasin, R. K. Agrawal
2021 C conf
Multiple-Activation Parallel Convolution Network in Combination with t-SNE for the Classification of Mild Cognitive Impairment.
BIBE
Harsh Bhasin, R. K. Agrawal
2021 J jnl
Quantum inspired Particle Swarm Optimization with guided exploration for function optimization.
Appl. Soft Comput.
R. K. Agrawal, Baljeet Kaur, Parul Agarwal
2020 J jnl
A combination of spectral graph theory and quantum genetic algorithm to find relevant set of electrodes for motor imagery classification.
Appl. Soft Comput.
Jyoti Singh Kirar, R. K. Agrawal
2020 J jnl
A hierarchical meta-model for multi-class mental task based brain-computer interfaces.
Neurocomputing
Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad
2020 J jnl
Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation.
Soft Comput.
Dhirendra Kumar, R. K. Agrawal, Hanuman Verma
2020 J jnl
Quantum based Whale Optimization Algorithm for wrapper feature selection.
Appl. Soft Comput.
R. K. Agrawal, Baljeet Kaur, Surbhi Sharma
2019 J jnl
A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image.
Multim. Tools Appl.
Dhirendra Kumar, Hanuman Verma, Aparna Mehra, R. K. Agrawal
2019 J jnl
A novel approach for salient object detection using double-density dual-tree complex wavelet transform in conjunction with superpixel segmentation.
Knowl. Inf. Syst.
Rinki Arya, R. K. Agrawal, Navjot Singh
2019 — conf
Deep Learning Models for Medical Image Analysis: Challenges and Future Directions.
BDA
R. K. Agrawal, Akanksha Juneja
2019 — conf
Enhanced Depression Detection from Facial Cues Using Univariate Feature Selection Techniques.
PReMI (1)
Swati Rathi, Baljeet Kaur, R. K. Agrawal
2019 J jnl
Role of surfacelet transform in diagnosing Alzheimer's disease.
Multidimens. Syst. Signal Process.
Namita Aggarwal, Bharti Rana, R. K. Agrawal
2018 J jnl
A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI.
Comput. Methods Programs Biomed.
Akanksha Juneja, Bharti Rana, R. K. Agrawal
2018 J jnl
Performance enhancement of salient object detection using superpixel based Gaussian mixture model.
Multim. Tools Appl.
Navjot Singh, Rinki Arya, R. K. Agrawal
2018 J jnl
Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG.
J. Medical Syst.
Jyoti Singh Kirar, R. K. Agrawal
2018 — conf
Relevant Frequency Band Selection using Sequential Forward Feature Selection for Motor Imagery Brain Computer Interfaces.
SSCI
Jyoti Singh Kirar, R. K. Agrawal
2018 J jnl
fMRI based computer aided diagnosis of schizophrenia using fuzzy kernel feature extraction and hybrid feature selection.
Multim. Tools Appl.
Akanksha Juneja, Bharti Rana, R. K. Agrawal
2017 J jnl
A novel combination of second-order statistical features and segmentation using multi-layer superpixels for salient object detection.
Appl. Intell.
Rinki Arya, Navjot Singh, R. K. Agrawal
2017 J jnl
A novel position prior using fusion of rule of thirds and image center for salient object detection.
Multim. Tools Appl.
Navjot Singh, Rinki Arya, R. K. Agrawal
2017 J jnl
An enhanced texture-based image retrieval approach with features selected from integration of feature extraction techniques.
Int. J. Comput. Vis. Robotics
Akanksha Juneja, Bharti Rana, R. K. Agrawal
2017 J jnl
Composite kernel support vector machine based performance enhancement of brain computer interface in conjunction with spatial filter.
Biomed. Signal Process. Control.
Jyoti Singh Kirar, R. K. Agrawal
2017 J jnl
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.
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, Madhuri Behari, R. K. Agrawal
2017 — conf
Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks.
PReMI
Jyoti Singh Kirar, Ayesha Choudhary, R. K. Agrawal
2016 J jnl
A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI.
Biomed. Signal Process. Control.
Akanksha Juneja, Bharti Rana, R. K. Agrawal
2016 J jnl
A convex hull approach in conjunction with Gaussian mixture model for salient object detection.
Digit. Signal Process.
Navjot Singh, Rinki Arya, R. K. Agrawal
2016 J jnl
A hybrid of clustering and quantum genetic algorithm for relevant genes selection for cancer microarray data.
Int. J. Knowl. Based Intell. Eng. Syst.
Manju Sardana, R. K. Agrawal, Baljeet Kaur
2016 J jnl
A novel hybrid approach for salient object detection using local and global saliency in frequency domain.
Multim. Tools Appl.
Rinki Arya, Navjot Singh, R. K. Agrawal
2016 J jnl
An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation.
Appl. Soft Comput.
Hanuman Verma, R. K. Agrawal, Aditi Sharan
2016 J jnl
Two-dimensional exponential discriminant analysis for small sample size in face recognition.
Int. J. Artif. Intell. Soft Comput.
Nitin Kumar, R. K. Agrawal
2016 — conf
Voxel-based morphometry and minimum redundancy maximum relevance method for classification of Parkinson's disease and controls from T1-weighted MRI.
ICVGIP
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, R. K. Agrawal, Madhuri Behari
2015 J jnl
3d discrete wavelet transform for computer aided diagnosis of Alzheimer's disease using t1-weighted brain MRI.
Int. J. Imaging Syst. Technol.
Namita Aggarwal, Bharti Rana, R. K. Agrawal
2015 J jnl
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.
Namita Aggarwal, Bharti Rana, R. K. Agrawal, S. Senthil Kumaran
2015 J jnl
An incremental feature selection approach based on scatter matrices for classification of cancer microarray data.
Int. J. Comput. Math.
Manju Sardana, R. K. Agrawal, Baljeet Kaur
2015 J jnl
Analysis and evaluation of regression-based methods for facial pose classification.
Int. J. Appl. Pattern Recognit.
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2015 J jnl
Block LDA via QR-decomposition for face recognition with single image per person.
Int. J. Knowl. Based Intell. Eng. Syst.
Nitin Kumar, R. K. Agrawal
2015 J jnl
Combination of Kullback-Leibler divergence and Manhattan distance measures to detect salient objects.
Signal Image Video Process.
Navjot Singh, R. K. Agrawal
2015 J jnl
Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI.
Int. J. Imaging Syst. Technol.
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, Madhuri Behari, R. K. Agrawal
2015 — conf
Optimal Spatio-spectral Variable Size Subbands Filter for Motor Imagery Brain Computer Interface.
IHCI
Jyoti Singh Kirar, R. K. Agrawal
2015 J jnl
Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods.
Soft Comput.
Akshansh Gupta, R. K. Agrawal, Baljeet Kaur
2015 J jnl
Possibilistic Intuitionistic Fuzzy c-Means Clustering Algorithm for MRI Brain Image Segmentation.
Int. J. Artif. Intell. Tools
Hanuman Verma, R. K. Agrawal
2015 J jnl
Regions-of-interest based automated diagnosis of Parkinson's disease using T1-weighted MRI.
Expert Syst. Appl.
Bharti Rana, Akanksha Juneja, Mohit Saxena, Sunita Gudwani, S. Senthil Kumaran, R. K. Agrawal, Madhuri Behari
2014 — conf
A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition.
SIRS
Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
2014 — conf
A Novel Approach for Classification of Schizophrenia Patients and Healthy Subjects Using Auditory Oddball Functional MRI.
MICAI (Special Sessions)
Akanksha Juneja, Bharti Rana, R. K. Agrawal
2014 — conf
A Novel Approach for Computer Aided Diagnosis of Schizophrenia using Auditory Oddball Functional MRI.
ICVGIP
Akanksha Juneja, Bharti Rana, R. K. Agrawal
2014 J jnl
A combination of artificial neural network and random walk models for financial time series forecasting.
Neural Comput. Appl.
Ratnadip Adhikari, R. K. Agrawal
2014 J jnl
A linear hybrid methodology for improving accuracy of time series forecasting.
Neural Comput. Appl.
Ratnadip Adhikari, R. K. Agrawal
2014 J jnl
A novel approach to combine features for salient object detection using constrained particle swarm optimization.
Pattern Recognit.
Navjot Singh, Rinki Arya, R. K. Agrawal
2014 J jnl
Incremental and Decremental Exponential Discriminant Analysis for Face Recognition.
Int. J. Comput. Vis. Image Process.
Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
2014 J jnl
Performance evaluation of weights selection schemes for linear combination of multiple forecasts.
Artif. Intell. Rev.
Ratnadip Adhikari, R. K. Agrawal
2013 J jnl
A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting
CoRR
Ratnadip Adhikari, R. K. Agrawal
2013 J jnl
An Introductory Study on Time Series Modeling and Forecasting
CoRR
Ratnadip Adhikari, R. K. Agrawal
2013 — conf
Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data.
PAKDD Workshops
Manju Sardana, R. K. Agrawal, Baljeet Kaur
2013 J jnl
Combining Multiple Time Series Models Through A Robust Weighted Mechanism
CoRR
Ratnadip Adhikari, R. K. Agrawal
2013 Misc conf
Detection of Alzheimer's Disease via Statistical Features from Brain Slices.
FLAIRS
Namita Aggarwal, Bharti Rana, R. K. Agrawal
2013 J jnl
Hybridization of Artificial Neural Network and Particle Swarm Optimization Methods for Time Series Forecasting.
Int. J. Appl. Evol. Comput.
Ratnadip Adhikari, R. K. Agrawal
2013 J jnl
PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting
CoRR
Ratnadip Adhikari, R. K. Agrawal, Laxmi Kant
2012 — conf
A Novel Weighted Ensemble Technique for Time Series Forecasting.
PAKDD (1)
Ratnadip Adhikari, R. K. Agrawal
2012 — conf
A three phase approach for mental task classification using EEG.
ICACCI
Akshansh Gupta, R. K. Agrawal, Baljeet Kaur
2012 J jnl
Classification of Alzheimer's from T2 Trans-Axial Brain MR Images: A Comparative Study of Feature Extraction Techniques.
Int. J. Comput. Vis. Image Process.
Namita Aggarwal, Bharti Rana, R. K. Agrawal
2012 — conf
Combining multiple time series models through a robust weighted mechanism.
RAIT
Ratnadip Adhikari, R. K. Agrawal
2012 — conf
Computer Aided Diagnosis of Alzheimer's Disease from MRI Brain Images.
ICIAR (2)
Namita Aggarwal, Bharti, R. K. Agrawal
2012 J jnl
Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition.
Int. J. Comput. Vis. Image Process.
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2012 — conf
Performance Evaluation of Ranking Methods for Relevant Gene Selection in Cancer Microarray Datasets.
MICAI (1)
Manju Sardana, Baljeet Kaur, R. K. Agrawal
2012 — conf
Relevant Feature Selection from EEG Signal for Mental Task Classification.
PAKDD (2)
Akshansh Gupta, R. K. Agrawal
2012 — conf
Salient Features Selection for Multiclass Texture Classification.
MICAI (1)
Bharti Rana, R. K. Agrawal
2012 — conf
Statistical Framework for Facial Pose Classification.
MICAI (1)
Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2011 — conf
Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm.
IICAI
Hanuman Verma, R. K. Agrawal
2011 — conf
Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting.
IICAI
Ratnadip Adhikari, R. K. Agrawal
2011 — conf
Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brian Image.
SocProS (2)
Hanuman Verma, R. K. Agrawal
2011 J jnl
Mutual Information and Cross Entropy Framework to Determine Relevant Gene Subset for Cancer Classification.
Informatica (Slovenia)
Rajni Bala, R. K. Agrawal
2011 J jnl
Optimal Decision Tree Based Multi-class Support Vector Machine.
Informatica (Slovenia)
Manju Bala, R. K. Agrawal
2010 — conf
Entropy Based Clustering to Determine Discriminatory Genes for Microarray Dataset.
IC3 (1)
Rajni Bala, R. K. Agrawal
2010 — conf
Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVM.
DMIN
Manju Bala, Namita Aggarwal, R. K. Agrawal
2010 — conf
Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure.
PAKDD (2)
Rajni Bala, R. K. Agrawal, Manju Sardana
2009 — conf
Decision Tree SVM Framework Using Ratio of Interclass and Intraclass Scatters.
IICAI
Manju Bala, R. K. Agrawal
2009 — conf
Evaluation of Decision Tree SVM Framework Using Different Statistical Measures.
ARTCom
Manju Bala, R. K. Agrawal
2009 — conf
Evaluation of Feature Selection Measures for Steganalysis.
PReMI
G. K. Rajput, R. K. Agrawal
2009 — conf
Perturbation Scheme for Online Incremental Learning of Features for Face Recognition.
DMIN
R. K. Agrawal, Ashish Chaudhary
2008 — conf
Discriminant Function Revisited for Incremental Learning.
ICVGIP
R. K. Agrawal, Rajni Bala, Manju Bala
2008 J jnl
Incremental Bayesian classification for multivariate normal distribution data.
Pattern Recognit. Lett.
R. K. Agrawal, Rajni Bala
2008 J jnl
Perturbation scheme for online learning of features: Incremental principal component analysis.
Pattern Recognit.
R. K. Agrawal, Karmeshu