R. K. Agrawal

According to our database1, R. K. Agrawal authored at least 83 papers between 2008 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image.
Multimedia Tools Appl., 2019

Role of surfacelet transform in diagnosing Alzheimer's disease.
Multidim. Syst. Sign. 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

A mean-field-theoretic model for dual information propagation in networks.
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

Deep Learning Models for Medical Image Analysis: Challenges and Future Directions.
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.
Multimedia Tools Appl., 2018

Performance enhancement of salient object detection using superpixel based Gaussian mixture model.
Multimedia Tools Appl., 2018

Relevant Feature Selection from a Combination of Spectral-Temporal and Spatial Features for Classification of Motor Imagery EEG.
J. Medical Systems, 2018

A novel fuzzy rough selection of non-linearly extracted features for schizophrenia diagnosis using fMRI.
Computer Methods and Programs in Biomedicine, 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.
Multimedia Tools Appl., 2017

An enhanced texture-based image retrieval approach with features selected from integration of feature extraction techniques.
IJCVR, 2017

Relevant 3D local binary pattern based features from fused feature descriptor for differential diagnosis of Parkinson's disease using structural MRI.
Biomed. Signal Proc. and Control, 2017

Composite kernel support vector machine based performance enhancement of brain computer interface in conjunction with spatial filter.
Biomed. Signal Proc. and 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.
Multimedia Tools Appl., 2016

A hybrid of clustering and quantum genetic algorithm for relevant genes selection for cancer microarray data.
KES Journal, 2016

Two-dimensional exponential discriminant analysis for small sample size in face recognition.
IJAISC, 2016

A convex hull approach in conjunction with Gaussian mixture model for salient object detection.
Digital Signal Processing, 2016

Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition.
Computing and Informatics, 2016

A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI.
Biomed. Signal Proc. and 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 and Video Processing, 2015

Block LDA via QR-decomposition for face recognition with single image per person.
KES Journal, 2015

Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI.
Int. J. Imaging Systems and Technology, 2015

3d discrete wavelet transform for computer aided diagnosis of Alzheimer's disease using t1-weighted brain MRI.
Int. J. Imaging Systems and Technology, 2015

Relevant Feature Subset Selection from Ensemble of Multiple Feature Extraction Methods for Texture Classification.
IJCVIP, 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.
IJBRA, 2015

Analysis and evaluation of regression-based methods for facial pose classification.
IJAPR, 2015

Possibilistic Intuitionistic Fuzzy c-Means Clustering Algorithm for MRI Brain Image Segmentation.
International Journal on Artificial Intelligence 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 Recognition, 2014

A linear hybrid methodology for improving accuracy of time series forecasting.
Neural Computing and Applications, 2014

A combination of artificial neural network and random walk models for financial time series forecasting.
Neural Computing and Applications, 2014

Improved fuzzy entropy clustering algorithm for MRI brain image segmentation.
Int. J. Imaging Systems and Technology, 2014

Incremental and Decremental Exponential Discriminant Analysis for Face Recognition.
IJCVIP, 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.
IJAEC, 2013

PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting
CoRR, 2013

An Introductory Study on Time Series Modeling and Forecasting
CoRR, 2013

A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting
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

Detection of Alzheimer's Disease via Statistical Features from Brain Slices.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012
Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition.
IJCVIP, 2012

Classification of Alzheimer's from T2 Trans-Axial Brain MR Images: A Comparative Study of Feature Extraction Techniques.
IJCVIP, 2012

Clustering in Conjunction with Wrapper Approach to Select Discriminatory Genes for Microarray Dataset Classification.
Computing and Informatics, 2012

Combining multiple time series models through a robust weighted mechanism.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

Relevant Feature Selection from EEG Signal for Mental Task Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

A Novel Weighted Ensemble Technique for Time Series Forecasting.
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

Salient Features Selection for Multiclass Texture Classification.
Proceedings of the Advances in Artificial Intelligence, 2012

Statistical Framework for Facial Pose Classification.
Proceedings of the Advances in Artificial Intelligence, 2012

Computer Aided Diagnosis of Alzheimer's Disease from MRI Brain Images.
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

A three phase approach for mental task classification using EEG.
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

Optimal Decision Tree Based Multi-class Support Vector Machine.
Informatica (Slovenia), 2011

Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brian Image.
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

Entropy Based Clustering to Determine Discriminatory Genes for Microarray Dataset.
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
Evaluation of Feature Selection Measures for Steganalysis.
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

Evaluation of Decision Tree SVM Framework Using Different Statistical Measures.
Proceedings of the ARTCom 2009, 2009

2008
Incremental Bayesian classification for multivariate normal distribution data.
Pattern Recognition Letters, 2008

Perturbation scheme for online learning of features: Incremental principal component analysis.
Pattern Recognition, 2008

Discriminant Function Revisited for Incremental Learning.
Proceedings of the Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008


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