Ramesh K. Agrawal
List of publications from the DBLP Bibliography Server - FAQ
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 | 2013 | |
|---|---|---|
| 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 | ||
| j5 | | Rajni Bala, Ramesh K. Agrawal: Clustering in Conjunction with Wrapper Approach to Select Discriminatory Genes for Microarray Dataset Classification. Computing and Informatics 31(5): 921-938 (2012) |
| j4 | | Ajay Jaiswal, Nitin Kumar, R. K. Agrawal: Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition. IJCVIP 2(2): 48-58 (2012) |
| j3 | | 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. IJCVIP 2(3): 50-63 (2012) |
| c21 | | 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 |
| c20 | | Akshansh Gupta, R. K. Agrawal, Baljeet Kaur: A three phase approach for mental task classification using EEG. ICACCI 2012: 898-904 |
| c19 | | 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 |
| c18 | | Namita Aggarwal, Bharti, R. K. Agrawal: Computer Aided Diagnosis of Alzheimer's Disease from MRI Brain Images. ICIAR (2) 2012: 259-267 |
| c17 | | Ajay Jaiswal, Nitin Kumar, R. K. Agrawal: Statistical Framework for Facial Pose Classification. MICAI (1) 2012: 87-96 |
| c16 | | Bharti Rana, R. K. Agrawal: Salient Features Selection for Multiclass Texture Classification. MICAI (1) 2012: 205-215 |
| c15 | | 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 |
| c14 | | Ratnadip Adhikari, R. K. Agrawal: A Novel Weighted Ensemble Technique for Time Series Forecasting. PAKDD (1) 2012: 38-49 |
| c13 | | Akshansh Gupta, R. K. Agrawal: Relevant Feature Selection from EEG Signal for Mental Task Classification. PAKDD (2) 2012: 431-442 |
| 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 | | H. Verma, R. K. Agrawal: Automatic Segmentation of MRI Brain Image using Type-3 Fuzzy C-Means Clustering Algorithm. IICAI 2011: 1060-1069 |
| c9 | | H. 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 |
| 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 Recognition 41(5): 1452-1460 (2008) |
| j1 | | R. K. Agrawal, Rajni Bala: Incremental Bayesian classification for multivariate normal distribution data. Pattern Recognition Letters 29(13): 1873-1876 (2008) |
| c1 | | R. K. Agrawal, Rajni Bala, Manju Bala: Discriminant Function Revisited for Incremental Learning. ICVGIP 2008: 435-441 |
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