![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
R. K. Agrawal 0001
Person information
- affiliation: Jawaharlal Nehru University, New Delhi, India
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [j60]Puneet Kumar
, R. K. Agrawal
, Dhirendra Kumar
:
Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation. Appl. Soft Comput. 133: 109939 (2023) - [j59]Ashish Kumar
, R. K. Agrawal
, Leve Joseph:
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation. Multim. Tools Appl. 82(28): 43207-43231 (2023) - 2022
- [j58]Parul Agarwal
, R. K. Agrawal
, Baljeet Kaur:
Multi-objective particle swarm optimization with guided exploration for multimodal problems. Appl. Soft Comput. 120: 108684 (2022) - [j57]Baljeet Kaur
, Swati Rathi
, R. K. Agrawal
:
Enhanced depression detection from speech using Quantum Whale Optimization Algorithm for feature selection. Comput. Biol. Medicine 150: 106122 (2022) - [j56]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): 17703-17727 (2022) - [j55]Puneet Kumar
, Dhirendra Kumar
, Ramesh Kumar Agrawal
:
Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image. Neural Comput. Appl. 34(6): 4855-4874 (2022) - [j54]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): 687-700 (2022) - [c40]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: 615-630 - [i6]Ashish Kumar
, R. K. Agrawal, Leve Joseph:
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation. CoRR abs/2208.01485 (2022) - 2021
- [j53]R. K. Agrawal
, Baljeet Kaur, Parul Agarwal
:
Quantum inspired Particle Swarm Optimization with guided exploration for function optimization. Appl. Soft Comput. 102: 107122 (2021) - [j52]Akshansh Gupta, Ramesh Kumar Agrawal
, Jyoti Singh Kirar, Javier Andreu-Perez
, Weiping Ding
, Chin-Teng Lin
, Mukesh Prasad
:
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. 51(5): 3080-3092 (2021) - [c39]Harsh Bhasin, R. K. Agrawal
:
Applicability of Manually Crafted Convolutional Neural Network for Classification of Mild Cognitive Impairment. ACCC 2021: 127-131 - [c38]Harsh Bhasin, R. K. Agrawal
:
Multiple-Activation Parallel Convolution Network in Combination with t-SNE for the Classification of Mild Cognitive Impairment. BIBE 2021: 1-7 - [c37]Puneet Kumar
, Dhirendra Kumar
, Ramesh Kumar Agrawal
:
Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation. CVIP (2) 2021: 350-361 - [c36]Snigdha Agrawal, S. Senthil Kumaran
, Achal Kumar Srivastava, Ramesh Kumar Agrawal
, Manpreet Kaur Narang:
Study of 2D Feature Extraction Techniques for Classification of Spinocerebellar Ataxia Type 12 (SCA12). MedInfo 2021: 670-674 - [e3]Kamal Karlapalem
, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy
, Jaideep Srivastava, Tanmoy Chakraborty
:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e2]Kamal Karlapalem
, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy
, Jaideep Srivastava, Tanmoy Chakraborty
:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e1]Kamal Karlapalem
, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy
, Jaideep Srivastava, Tanmoy Chakraborty
:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - [i5]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin
, Mukesh Prasad:
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. CoRR abs/2111.08154 (2021) - 2020
- [j51]R. K. Agrawal
, Baljeet Kaur
, Surbhi Sharma:
Quantum based Whale Optimization Algorithm for wrapper feature selection. Appl. Soft Comput. 89: 106092 (2020) - [j50]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): 105519 (2020) - [j49]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: 207-217 (2020) - [j48]Harsh Bhasin
, Ramesh Kumar Agrawal
:
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. 20(1): 37 (2020) - [j47]Dhirendra Kumar
, R. K. Agrawal
, Hanuman Verma
:
Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation. Soft Comput. 24(6): 4003-4026 (2020)
2010 – 2019
- 2019
- [j46]Utkarsh Niranjan, Anurag Singh
, Ramesh Kumar Agrawal
:
A mean-field-theoretic model for dual information propagation in networks. J. Complex Networks 7(4): 585-602 (2019) - [j45]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): 327-361 (2019) - [j44]Namita Aggarwal, Bharti Rana, R. K. Agrawal
:
Role of surfacelet transform in diagnosing Alzheimer's disease. Multidimens. Syst. Signal Process. 30(4): 1839-1858 (2019) - [j43]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): 12663-12687 (2019) - [c35]R. K. Agrawal
, Akanksha Juneja
:
Deep Learning Models for Medical Image Analysis: Challenges and Future Directions. BDA 2019: 20-32 - [c34]Dhirendra Kumar, Ramesh Kumar Agrawal
, Jyoti Singh Kirar:
Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation. FUZZ-IEEE 2019: 1-7 - [c33]Swati Rathi
, Baljeet Kaur
, R. K. Agrawal
:
Enhanced Depression Detection from Facial Cues Using Univariate Feature Selection Techniques. PReMI (1) 2019: 22-29 - 2018
- [j42]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: 139-152 (2018) - [j41]Utkarsh Niranjan
, Ramesh Kumar Agrawal
, Brejesh Lall:
Analysis of the SIRP epidemic model with anti-worm patching. Int. J. Comput. Math. Comput. Syst. Theory 3(2): 122-143 (2018) - [j40]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): 78 (2018) - [j39]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): 3963-3989 (2018) - [j38]Navjot Singh
, Rinki Arya, R. K. Agrawal
:
Performance enhancement of salient object detection using superpixel based Gaussian mixture model. Multim. Tools Appl. 77(7): 8511-8529 (2018) - [c32]Jyoti Singh Kirar, R. K. Agrawal
:
Relevant Frequency Band Selection using Sequential Forward Feature Selection for Motor Imagery Brain Computer Interfaces. SSCI 2018: 52-59 - 2017
- [j37]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): 254-271 (2017) - [j36]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: 151-160 (2017) - [j35]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: 134-143 (2017) - [j34]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): 357-380 (2017) - [j33]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): 10521-10538 (2017) - [c31]Jyoti Singh Kirar
, Ayesha Choudhary
, R. K. Agrawal
:
Selection of Relevant Electrodes Based on Temporal Similarity for Classification of Motor Imagery Tasks. PReMI 2017: 96-102 - 2016
- [j32]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: 543-557 (2016) - [j31]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: 122-133 (2016) - [j30]Nitin Kumar, Ramesh K. Agrawal, Ajay Jaiswal:
Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition. Comput. Informatics 35(5): 1231-1248 (2016) - [j29]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: 22-31 (2016) - [j28]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): 194-208 (2016) - [j27]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): 161-173 (2016) - [j26]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): 8267-8287 (2016) - [c30]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: 22:1-22:6 - [c29]Dhirendra Kumar
, Ramesh Kumar Agrawal
:
Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification. SoCPaR 2016: 94-104 - 2015
- [j25]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): 4506-4516 (2015) - [j24]Hanuman Verma
, R. K. Agrawal
:
Possibilistic Intuitionistic Fuzzy c-Means Clustering Algorithm for MRI Brain Image Segmentation. Int. J. Artif. Intell. Tools 24(5): 1550016:1-1550016:24 (2015) - [j23]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): 24-45 (2015) - [j22]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): 433-461 (2015) - [j21]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): 277-295 (2015) - [j20]Bharti Rana, Akanksha Juneja, Ramesh K. Agrawal
:
Relevant Feature Subset Selection from Ensemble of Multiple Feature Extraction Methods for Texture Classification. Int. J. Comput. Vis. Image Process. 5(1): 48-65 (2015) - [j19]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): 179-190 (2015) - [j18]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): 245-255 (2015) - [j17]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): 173-181 (2015) - [j16]Navjot Singh
, R. K. Agrawal
:
Combination of Kullback-Leibler divergence and Manhattan distance measures to detect salient objects. Signal Image Video Process. 9(2): 427-435 (2015) - [j15]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): 2799-2812 (2015) - [c28]Jyoti Singh Kirar, R. K. Agrawal
:
Optimal Spatio-spectral Variable Size Subbands Filter for Motor Imagery Brain Computer Interface. IHCI 2015: 14-21 - 2014
- [j14]Ratnadip Adhikari, R. K. Agrawal
:
Performance evaluation of weights selection schemes for linear combination of multiple forecasts. Artif. Intell. Rev. 42(4): 529-548 (2014) - [j13]Nitin Kumar, R. K. Agrawal
, Ajay Jaiswal
:
Incremental and Decremental Exponential Discriminant Analysis for Face Recognition. Int. J. Comput. Vis. Image Process. 4(1): 40-55 (2014) - [j12]Hanuman Verma
, Ramesh K. Agrawal
, Naveen Kumar:
Improved fuzzy entropy clustering algorithm for MRI brain image segmentation. Int. J. Imaging Syst. Technol. 24(4): 277-283 (2014) - [j11]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): 1441-1449 (2014) - [j10]Ratnadip Adhikari, R. K. Agrawal
:
A linear hybrid methodology for improving accuracy of time series forecasting. Neural Comput. Appl. 25(2): 269-281 (2014) - [j9]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): 1731-1739 (2014) - [c27]Akanksha Juneja, Bharti Rana, R. K. Agrawal
:
A Novel Approach for Computer Aided Diagnosis of Schizophrenia using Auditory Oddball Functional MRI. ICVGIP 2014: 37:1-37:6 - [c26]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: 75-81 - [c25]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: 23-32 - 2013
- [j8]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): 75-90 (2013) - [c24]Namita Aggarwal, Bharti Rana, R. K. Agrawal:
Detection of Alzheimer's Disease via Statistical Features from Brain Slices. FLAIRS 2013 - [c23]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: 428-439 - [i4]Ratnadip Adhikari, R. K. Agrawal
:
A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting. CoRR abs/1302.6210 (2013) - [i3]Ratnadip Adhikari, R. K. Agrawal
:
Combining Multiple Time Series Models Through A Robust Weighted Mechanism. CoRR abs/1302.6595 (2013) - [i2]Ratnadip Adhikari, R. K. Agrawal
:
An Introductory Study on Time Series Modeling and Forecasting. CoRR abs/1302.6613 (2013) - [i1]Ratnadip Adhikari, R. K. Agrawal
, Laxmi Kant:
PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting. CoRR abs/1302.6615 (2013) - 2012
- [j7]Rajni Bala, Ramesh K. Agrawal:
Clustering in Conjunction with Wrapper Approach to Select Discriminatory Genes for Microarray Dataset Classification. Comput. Informatics 31(5): 921-938 (2012) - [j6]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): 48-58 (2012) - [j5]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): 50-63 (2012) - [c22]Ajay Jaiswal
, Nitin Kumar, Ramesh K. Agrawal
:
A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose. CIARP 2012: 67-73 - [c21]Akshansh Gupta, R. K. Agrawal
, Baljeet Kaur:
A three phase approach for mental task classification using EEG. ICACCI 2012: 898-904 - [c20]Nitin Kumar, Ajay Jaiswal
, Ramesh K. Agrawal
:
Performance evaluation of subspace methods to tackle small sample size problem in face recognition. ICACCI 2012: 938-944 - [c19]Namita Aggarwal, Bharti, R. K. Agrawal
:
Computer Aided Diagnosis of Alzheimer's Disease from MRI Brain Images. ICIAR (2) 2012: 259-267 - [c18]Ajay Jaiswal
, Nitin Kumar, R. K. Agrawal
:
Statistical Framework for Facial Pose Classification. MICAI (1) 2012: 87-96 - [c17]Bharti Rana, R. K. Agrawal
:
Salient Features Selection for Multiclass Texture Classification. MICAI (1) 2012: 205-215 - [c16]Manju Sardana, Baljeet Kaur, R. K. Agrawal
:
Performance Evaluation of Ranking Methods for Relevant Gene Selection in Cancer Microarray Datasets. MICAI (1) 2012: 407-418 - [c15]Ratnadip Adhikari, R. K. Agrawal
:
A Novel Weighted Ensemble Technique for Time Series Forecasting. PAKDD (1) 2012: 38-49 - [c14]Akshansh Gupta, R. K. Agrawal
:
Relevant Feature Selection from EEG Signal for Mental Task Classification. PAKDD (2) 2012: 431-442 - [c13]Ratnadip Adhikari, R. K. Agrawal
:
Combining multiple time series models through a robust weighted mechanism. RAIT 2012: 455-460 - 2011
- [j4]Manju Bala, R. K. Agrawal:
Optimal Decision Tree Based Multi-class Support Vector Machine. Informatica (Slovenia) 35(2): 197-209 (2011) - [j3]Rajni Bala, R. K. Agrawal:
Mutual Information and Cross Entropy Framework to Determine Relevant Gene Subset for Cancer Classification. Informatica (Slovenia) 35(3): 375-382 (2011) - [c12]Ajay Jaiswal
, Ramesh K. Agrawal
, Nitin Kumar:
Performance evaluation of linear subspace methods for face recognition under illumination variation. C3S2E 2011: 103-110 - [c11]Ratnadip Adhikari, R. K. Agrawal:
Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting. IICAI 2011: 231-244 - [c10]Hanuman Verma, R. K. Agrawal:
Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm. IICAI 2011: 1060-1069 - [c9]Hanuman Verma
, R. K. Agrawal
:
Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brian Image. SocProS (2) 2011: 133-144 - 2010
- [c8]Manju Bala, Namita Aggarwal, R. K. Agrawal:
Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVM. DMIN 2010: 98-105 - [c7]Rajni Bala, R. K. Agrawal
:
Entropy Based Clustering to Determine Discriminatory Genes for Microarray Dataset. IC3 (1) 2010: 403-411 - [c6]Rajni Bala, R. K. Agrawal
, Manju Sardana:
Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure. PAKDD (2) 2010: 81-88
2000 – 2009
- 2009
- [c5]Manju Bala
, R. K. Agrawal
:
Evaluation of Decision Tree SVM Framework Using Different Statistical Measures. ARTCom 2009: 341-345 - [c4]R. K. Agrawal, Ashish Chaudhary:
Perturbation Scheme for Online Incremental Learning of Features for Face Recognition. DMIN 2009: 110-116 - [c3]Manju Bala, R. K. Agrawal:
Decision Tree SVM Framework Using Ratio of Interclass and Intraclass Scatters. IICAI 2009: 2198-2206 - [c2]G. K. Rajput, R. K. Agrawal
:
Evaluation of Feature Selection Measures for Steganalysis. PReMI 2009: 432-439 - 2008
- [j2]R. K. Agrawal
, Karmeshu:
Perturbation scheme for online learning of features: Incremental principal component analysis. Pattern Recognit. 41(5): 1452-1460 (2008) - [j1]R. K. Agrawal
, Rajni Bala:
Incremental Bayesian classification for multivariate normal distribution data. Pattern Recognit. Lett. 29(13): 1873-1876 (2008) - [c1]R. K. Agrawal
, Rajni Bala, Manju Bala
:
Discriminant Function Revisited for Incremental Learning. ICVGIP 2008: 435-441
Coauthor Index
aka: Bharti Rana
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint