| Year |
Citation |
Score |
| 2016 |
Seetha H, Murty MN, Saravanan R. Classification by majority voting in feature partitions International Journal of Information and Decision Sciences. 8: 109-124. DOI: 10.1504/Ijids.2016.076509 |
0.38 |
|
| 2015 |
Thomas S, Deodhare D, Murty MN. Extended Conflict-Based Search for the Convoy Movement Problem Ieee Intelligent Systems. 30: 60-70. DOI: 10.1109/Mis.2015.96 |
0.402 |
|
| 2015 |
Suri NNRR, Murty MN, Athithan G. Detecting outliers in categorical data through rough clustering Natural Computing. DOI: 10.1007/S11047-015-9489-2 |
0.48 |
|
| 2014 |
Chaudhari S, Murty MN. Average overlap for clustering incomplete data using symmetric non-negative matrix factorization Proceedings - International Conference On Pattern Recognition. 1431-1436. DOI: 10.1109/ICPR.2014.255 |
0.318 |
|
| 2013 |
Chinta PM, Balamurugan P, Shevade S, Murty MN. Optimizing F-measure with non-convex loss and sparse linear classifiers Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6707105 |
0.303 |
|
| 2013 |
Manjunath G, Murty MN, Sitaram D. Combining heterogeneous classifiers for relational databases Pattern Recognition. 46: 317-324. DOI: 10.1016/J.Patcog.2012.06.015 |
0.426 |
|
| 2013 |
Suri NNRR, Murty MN, Athithan G. A rough clustering algorithm for mining outliers in categorical data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8251: 170-175. DOI: 10.1007/978-3-642-45062-4_23 |
0.42 |
|
| 2012 |
Seetha H, Saravanan R, Murty MN. Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification Cybernetics and Information Technologies. 12: 77-94. DOI: 10.2478/Cait-2012-0032 |
0.372 |
|
| 2012 |
Suri NNRR, Murty MN, Athithan G. Unsupervised feature selection for outlier detection in categorical data using mutual information Proceedings of the 2012 12th International Conference On Hybrid Intelligent Systems, His 2012. 253-258. DOI: 10.1109/HIS.2012.6421343 |
0.315 |
|
| 2012 |
Suri NNRR, Murty MN, Athithan G. An algorithm for mining outliers in categorical data through ranking Proceedings of the 2012 12th International Conference On Hybrid Intelligent Systems, His 2012. 247-252. DOI: 10.1109/HIS.2012.6421342 |
0.41 |
|
| 2011 |
Reddy IS, Shevade S, Murty MN. A fast quasi-Newton method for semi-supervised SVM Pattern Recognition. 44: 2305-2313. DOI: 10.1016/j.patcog.2010.09.002 |
0.352 |
|
| 2010 |
Dukkipati A, Yadav AK, Murty MN. Maximum entropy model based classification with feature selection Proceedings - International Conference On Pattern Recognition. 565-568. DOI: 10.1109/ICPR.2010.143 |
0.373 |
|
| 2010 |
Chitta R, Murty MN. Two-level k-means clustering algorithm for k-τ relationship establishment and linear-time classification Pattern Recognition. 43: 796-804. DOI: 10.1016/J.Patcog.2009.09.019 |
0.491 |
|
| 2010 |
Garg VK, Murty MN. EPIC: Efficient integration of partitional clustering algorithms for classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6457: 706-710. DOI: 10.1007/978-3-642-17298-4_79 |
0.412 |
|
| 2009 |
Garg VK, Murty MN. RACK: RApid clustering using K-means algorithm 2009 Ieee International Conference On Automation Science and Engineering, Case 2009. 621-626. DOI: 10.1109/COASE.2009.5234127 |
0.352 |
|
| 2008 |
Murty MN, Rashmin B, Bhattacharyya C. Clustering based on genetic algorithms Studies in Computational Intelligence. 98: 137-159. DOI: 10.1007/978-3-540-77467-9_7 |
0.421 |
|
| 2007 |
Asharaf S, Murty MN, Shevade SK. Cluster based training for scaling non-linear Support Vector Machines Proceedings - International Conference On Computing: Theory and Applications, Iccta 2007. 304-308. DOI: 10.1109/ICCTA.2007.39 |
0.351 |
|
| 2007 |
Babu TR, Murty MN, Agrawal VK. Rapid and brief communication: Classification of run-length encoded binary data Pattern Recognition. 40: 321-323. DOI: 10.1016/J.Patcog.2006.05.002 |
0.429 |
|
| 2007 |
Varma CMBS, Asharaf S, Murty MN. Rough core vector clustering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4815: 304-310. |
0.374 |
|
| 2007 |
Kankanala L, Murty MN. Hybrid approaches for clustering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4815: 25-32. |
0.396 |
|
| 2006 |
Asharaf S, Murty MN, Shevade SK. Cluster based core vector machine Proceedings - Ieee International Conference On Data Mining, Icdm. 1038-1042. DOI: 10.1109/ICDM.2006.34 |
0.425 |
|
| 2006 |
Viswanath P, Murty MN, Bhatnagar S. Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification Pattern Recognition Letters. 27: 1714-1724. DOI: 10.1016/J.Patrec.2006.04.015 |
0.423 |
|
| 2006 |
Asharaf S, Murty MN, Shevade SK. Rough set based incremental clustering of interval data Pattern Recognition Letters. 27: 515-519. DOI: 10.1016/J.Patrec.2005.09.018 |
0.424 |
|
| 2006 |
Vijaya PA, Murty MN, Subramanian DK. Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification Pattern Recognition. 39: 2344-2355. DOI: 10.1016/J.Patcog.2005.12.001 |
0.475 |
|
| 2006 |
Vijaya PA, Murty MN, Subramanian DK. Efficient median based clustering and classification techniques for protein sequences Pattern Analysis and Applications. 9: 243-255. DOI: 10.1007/S10044-006-0040-Z |
0.393 |
|
| 2006 |
Nath JS, Bhattacharyya C, Murty MN. Clustering based large margin classification: A scalable approach using SOCP formulation Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2006: 674-679. |
0.404 |
|
| 2005 |
Agrawal M, Gupta N, Shreelekshmi R, Murty MN. Efficient pattern synthesis for nearest neighbour classifier Pattern Recognition. 38: 2200-2203. DOI: 10.1016/J.Patcog.2005.03.029 |
0.346 |
|
| 2005 |
Asharaf S, Shevade SK, Murty MN. Rough support vector clustering Pattern Recognition. 38: 1779-1783. DOI: 10.1016/J.Patcog.2004.12.016 |
0.415 |
|
| 2004 |
Vijaya PA, Murty MN, Subramanian DK. Leaders-subleaders: an efficient hierarchical clustering algorithm for large data sets Pattern Recognition Letters. 25: 505-513. DOI: 10.1016/J.Patrec.2003.12.013 |
0.519 |
|
| 2004 |
Viswanath P, Murty MN, Bhatnagar S. Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification Information Fusion. 5: 239-250. DOI: 10.1016/J.Inffus.2004.02.003 |
0.397 |
|
| 2004 |
Asharaf S, Murty MN. A rough fuzzy approach to web usage categorization Fuzzy Sets and Systems. 148: 119-129. DOI: 10.1016/J.Fss.2004.03.009 |
0.362 |
|
| 2003 |
Subramanian DK, Ananthanarayana VS, Murty MN. Knowledge-based association rule mining using AND–OR taxonomies Knowledge Based Systems. 16: 37-45. DOI: 10.1016/S0950-7051(02)00050-3 |
0.337 |
|
| 2003 |
Ananthanarayana VS, Murty MN, Subramanian DK. Tree structure for efficient data mining using rough sets Pattern Recognition Letters. 24: 851-862. DOI: 10.1016/S0167-8655(02)00197-6 |
0.408 |
|
| 2003 |
Asharaf S, Murty MN. An adaptive rough fuzzy single pass algorithm for clustering large data sets Pattern Recognition. 36: 3015-3018. DOI: 10.1016/S0031-3203(03)00081-5 |
0.447 |
|
| 2003 |
Vijaya PA, Murty MN, Subramanian DK. An efficient incremental protein sequence clustering algorithm Ieee Region 10 Annual International Conference, Proceedings/Tencon. 1: 409-413. |
0.434 |
|
| 2003 |
Vishwanathan SVN, Smola AJ, Murty MN. SimpleSVM Proceedings, Twentieth International Conference On Machine Learning. 2: 760-767. |
0.605 |
|
| 2002 |
Devi VS, Murty MN. An incremental prototype set building technique Pattern Recognition. 35: 505-513. DOI: 10.1016/S0031-3203(00)00184-9 |
0.405 |
|
| 2002 |
Vishwanathan SVN, Murty MN. SSVM: A simple SVM algorithm Proceedings of the International Joint Conference On Neural Networks. 3: 2393-2398. |
0.606 |
|
| 2001 |
Ananthanarayana VS, Murty MN, Subramanian DK. Efficient clustering of large data sets Pattern Recognition. 34: 2561-2563. DOI: 10.1016/S0031-3203(01)00097-8 |
0.501 |
|
| 2001 |
Ananthanarayana VS, Murty MN, Subramanian DK. An incremental data mining algorithm for compact realization of prototypes Pattern Recognition. 34: 2249-2251. DOI: 10.1016/S0031-3203(01)00028-0 |
0.328 |
|
| 2001 |
Ananthanarayana VS, Murty MN, Subramanian DK. Multi-dimensional semantic clustering of large databases for association rule mining Pattern Recognition. 34: 939-941. DOI: 10.1016/S0031-3203(00)00128-X |
0.397 |
|
| 2001 |
Babu TR, Murty MN. Comparison of genetic algorithm based prototype selection schemes Pattern Recognition. 34: 523-525. DOI: 10.1016/S0031-3203(00)00094-7 |
0.388 |
|
| 2001 |
Saradhi VV, Murty MN. Bootstrapping for efficient handwritten digit recognition Pattern Recognition. 34: 1047-1056. DOI: 10.1016/S0031-3203(00)00043-1 |
0.484 |
|
| 2000 |
Babu GP, Murty MN, Keerthi SS. A stochastic connectionist approach for global optimization with application to pattern clustering Ieee Transactions On Systems, Man, and Cybernetics, Part B: Cybernetics. 30: 10-24. DOI: 10.1109/3477.826943 |
0.319 |
|
| 2000 |
Vishwanathan SVN, Murty MN. Kohonen's SOM with cache Pattern Recognition. 33: 1927-1929. DOI: 10.1016/S0031-3203(00)00038-8 |
0.6 |
|
| 2000 |
Ananthanarayana VS, Subramanian DK, Murty MN. Scalable, distributed and dynamic mining of association rules Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1970: 559-566. |
0.316 |
|
| 1999 |
Jain AK, Murty MN, Flynn PJ. Data clustering: A review Acm Computing Surveys. 31: 264-323. DOI: 10.1145/331499.331504 |
0.333 |
|
| 1999 |
Krishna K, Murty MN. Genetic K-means algorithm Ieee Transactions On Systems, Man, and Cybernetics, Part B: Cybernetics. 29: 433-439. DOI: 10.1109/3477.764879 |
0.356 |
|
| 1999 |
Ramesh VE, Murty MN. Off-line signature verification using genetically optimized weighted features Pattern Recognition. 32: 217-233. DOI: 10.1016/S0031-3203(98)00141-1 |
0.385 |
|
| 1996 |
Prakash M, Murty MN. Extended subspace methods of pattern recognition Pattern Recognition Letters. 17: 1131-1139. DOI: 10.1016/0167-8655(96)00074-8 |
0.441 |
|
| 1995 |
Prakash M, Murty MN. A genetic approach for selection of (near-) optimal subsets of principal components for discrimination Pattern Recognition Letters. 16: 781-787. DOI: 10.1016/0167-8655(95)00041-E |
0.422 |
|
| 1995 |
Phanendra Babu G, Murty MN. Optimal thresholding using multi-state stochastic connectionist approach Pattern Recognition Letters. 16: 11-18. DOI: 10.1016/0167-8655(94)00062-8 |
0.425 |
|
| 1995 |
Murty MN, Jain AK. Knowledge-based clustering scheme for collection management and retrieval of library books Pattern Recognition. 28: 949-963. DOI: 10.1016/0031-3203(94)00173-J |
0.389 |
|
| 1994 |
Sridhar V, Murty MN. A deductive clustering approach Journal of Experimental and Theoretical Artificial Intelligence. 6: 195-237. DOI: 10.1080/09528139408953788 |
0.372 |
|
| 1994 |
Sridhar V, Murty MN. Knowledge-based clustering approach for data abstraction Knowledge Based Systems. 7: 103-113. DOI: 10.1016/0950-7051(94)90023-X |
0.465 |
|
| 1994 |
Babu GP, Murty MN. Clustering with evolution strategies Pattern Recognition. 27: 321-329. DOI: 10.1016/0031-3203(94)90063-9 |
0.376 |
|
| 1993 |
Babu GP, Murty MN. A near-optimal initial seed value selection in K -means algorithm using a genetic algorithm Pattern Recognition Letters. 14: 763-769. DOI: 10.1016/0167-8655(93)90058-L |
0.477 |
|
| 1993 |
Sridhar V, Murty MN. Belief revision - an axiomatic approach Journal of Intelligent &Amp; Robotic Systems. 8: 127-153. DOI: 10.1007/Bf01257992 |
0.346 |
|
| 1991 |
Sridhar V, Murty MN. Learning Defaults: Recognizing Patterns in Beliefs Iete Journal of Research. 37: 512-520. DOI: 10.1080/03772063.1991.11437005 |
0.316 |
|
| 1991 |
Sridhar V, Murty MN. Model-theoretic approach to clustering Knowledge Based Systems. 4: 87-94. DOI: 10.1016/0950-7051(91)90012-Q |
0.436 |
|
| 1991 |
Sridhar V, Murty MN. A knowledge-based clustering algorithm Pattern Recognition Letters. 12: 511-517. DOI: 10.1016/0167-8655(91)90080-6 |
0.473 |
|
| 1991 |
Bhandaru MK, Murty MN. Incremental learning from examples using HC-expressions Pattern Recognition. 24: 273-282. DOI: 10.1016/0031-3203(91)90070-L |
0.316 |
|
| 1991 |
Sridhar V, Murty MN. Clustering algorithms for library comparison Pattern Recognition. 24: 815-823. DOI: 10.1016/0031-3203(91)90001-L |
0.461 |
|
| 1990 |
Choudhury S, Murty MN. A divisive scheme for constructing minimal spanning trees in coordinate space Pattern Recognition Letters. 11: 385-389. DOI: 10.1016/0167-8655(90)90108-E |
0.415 |
|
| 1990 |
Chitoor SS, Murty MN, Bhandaru MK. A new data structure HC-expression for learning from examples Pattern Recognition. 24: 19-29. DOI: 10.1016/0031-3203(91)90113-J |
0.331 |
|
| 1990 |
Srivastava A, Murty MN. A comparison between conceptual clustering and conventional clustering Pattern Recognition. 23: 975-981. DOI: 10.1016/0031-3203(90)90106-U |
0.347 |
|
| 1989 |
Shekar B, Murty MN, Krishna G. Structural aspects of semantic-directed clusters Pattern Recognition. 22: 65-74. DOI: 10.1016/0031-3203(89)90039-3 |
0.381 |
|
| 1989 |
Shekar B, Murty MN, Krishna G. Knowledge-based learning using Conceptual Transformers Journal of Intelligent and Robotic Systems. 2: 361-379. DOI: 10.1007/Bf00247914 |
0.367 |
|
| 1987 |
Shekar B, Murty MN, Krishna G. A knowledge-based clustering scheme Pattern Recognition Letters. 5: 253-259. DOI: 10.1016/0167-8655(87)90054-7 |
0.312 |
|
| 1981 |
Murty MN, Krishna G. A hybrid clustering procedure for concentric and chain-like clusters International Journal of Computer &Amp; Information Sciences. 10: 397-412. DOI: 10.1007/Bf00996137 |
0.471 |
|
| 1980 |
Murty MN, Krishna G. A computationally efficient technique for data-clustering Pattern Recognition. 12: 153-158. DOI: 10.1016/0031-3203(80)90039-4 |
0.49 |
|
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