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Vishwanathan, SVN and Murty, Narasimha M (2002) Use of Multi Category Proximal SVM for Dataset Reduction. [Book Chapter]
Bandyopadhyay, Sambaran and Narayanam, Ramasuri and Murty, Narasimha M (2018) A Generic Axiomatic Characterization for Measuring Influence in Social Networks. In: 24th International Conference on Pattern Recognition (ICPR), AUG 20-24, 2018, Chinese Acad Sci, Inst Automat, Beijing, PEOPLES R CHINA, pp. 2606-2611.
Rangnani, Soniya and Devi, Susheela V and Murty, Narasimha M (2015) Autoregressive Model for Users' Retweeting Profiles. In: 7th International Conference on Social Informatics (SocInfo), DEC 09-12, 2015, Beijing, PEOPLES R CHINA, pp. 178-193.
Chinta, Punya Murthy and Balamurugan, P and Shevade, Shirish and Murty, Narasimha M (2013) Optimizing F-Measure with Non-Convex Loss and Sparse Linear Classifiers. In: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), AUG 04-09, 2013, Dallas, TX.
Chinta, Punya Murthy and Murty, Narasimha M (2012) Discriminative feature analysis and selection for document classification. In: 19th International Conference, ICONIP 2012, November 12-15, 2012, Doha, Qatar.
Nagesh, Karthik and Murty, Narasimha M (2012) Obtaining single document summaries using latent dirichlet allocation. In: 19th International Conference, ICONIP 2012, November 12-15, 2012, Doha, Qatar.
Nandanwar, Sharad and Murty, Narasimha M (2012) A regularized linear classifier for effective text classification. In: 19th International Conference, ICONIP 2012, November 12-15, 2012, Doha, Qatar.
Sharma, Govind and Murty, Narasimha M (2011) Mining sentiments from songs using latent dirichlet allocation. In: IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X, 2011, Berlin, Heidelberg.
Seetha, H and Murty, Narasimha M and Saravanan, R (2011) On improving the generalization of SVM classifier. In: 5th International Conference on Information Processing, ICIP 2011, August 5-7, 2011, Bangalore, India.
Ranga Suri, NNR and Murty, Narasimha M and Athithan, G (2012) Algorithm for mining outliers in categorical data through ranking. In: 2012 12th International Conference on Hybrid Intelligent Systems (HIS), 4-7 Dec. 2012, Pune, India.
Adhikary, Jyoti Ranjan and Murty, Narasimha M (2012) Feature selection for unsupervised learning. In: ICONIP 2012 19th International Conference, November 12-15, 2012, Doha, Qatar.
Jadhao, Vinod and Murty, Narasimha M (2012) Hybrid online non-negative matrix factorization for clustering of documents. In: ICONIP 2012 19th International Conference, November 12-15, 2012, Doha, Qatar.
Chaudhuri, Arghya Roy and Murty, Narasimha M (2012) On the relation between K-means and PLSA. In: 2012 21st International Conference on Pattern Recognition (ICPR), 11-15 Nov. 2012, Tsukuba, Japan.
Ranga Suri, NNR and Murty, Narasimha M and Athithan, G (2012) Unsupervised feature selection for outlier detection in categorical data using mutual information. In: 2012 12th International Conference on Hybrid Intelligent Systems (HIS), 4-7 Dec. 2012, Pune, India.
Arun, R and Suresh, Vommina and Madhavan, Veni CE and Murty, Narasimha M (2010) On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. In: 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, JUN 21-24, 2010, Hyderabad, pp. 391-402.
Ranganath, BN and Murty, Narasimha M (2008) Stream-Close: Fast mining of Closed Frequent Itemsets in high speed data streams. In: International Conference on Data Mining Workshops, 2008. ICDMW '08. IEEE , 15-19 Dec. 2008, Pisa .
Asharaf, S and Murty, Narasimha M and Shevade, SK (2006) Cluster based core vector machine. In: 6th IEEE International Conference on Data Mining,, Dec 18-22, 2006, Hong Kong, pp. 1038-1042.
Asharaf, S and Shevade, SK and Murty, Narasimha M (2006) Scalable non-linear Support Vector Machine using hierarchical clustering. In: 18th International Conference on Pattern Recognition (ICPR 2006), AUG 20-24, 2006, Hong Kong, pp. 908-911.
Dukkipati, Ambedkar and Murty, Narasimha M and Bhatnagar, Shalabh (2005) Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. In: IEEE Congress on Evolutionary Computation, 2-5 Sept, 2005, Monterey, CA, United States, pp. 1667-1674.
Babu, Ravindra T and Murty, Narasimha M and Agrawal, VK (2004) Adaptive Boosting with Leader Based Learners for Classification of Large Handwritten Data. In: Fourth International Conference on Hybrid Intelligent Systems, 2004, 5-8 December, Kitakyushu,Japan, 326 -331.
Dukkipati, Ambedkar and Murty, Narasimha M and Bhatnagar, Shalabh (2004) Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms. In: 2004 Congress on Evolutionary Computation. CEC2004, 19-23 June, Portland,Origon, Vol.1, 55-62.
Vijaya, PA and Murty, Narasimha M and Subramanian, DK (2004) An Efficient Technique for Protein Sequence Clustering and Classification. In: 17th International Conference on Pattern Recognition, 2004. ICPR 2004, 23-26 August, Cambridge,UK, Vol.2, 447-450.
Babu, Ravindra T and Murty, Narasimha M and Agrawal, VK (2004) Hybrid Learning Scheme for Data Mining Applications. In: Fourth International Conference on Hybrid Intelligent Systems, 2004, 5-8 December, Kitakyushu,Japan, 266 -271.
Viswanath, P and Murty, Narasimha M and Bhatnagar, Shalabh (2004) A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition. In: 17th International Conference on Pattern Recognition, 2004. ICPR 2004, 23-26 August, Cambridge,UK, Vol.4, 416 -419.
Dukkipati, Ambedkar and Murty, Narasimha M and Bhatnagar, Shalabh (2003) Quotient Evolutionary Space: Abstraction of Evolutionary process w.r.t macroscopic properties. In: The 2003 Congress on Evolutionary Computation – CEC 2003, 8-12 December 2003, Canberra, Australia, pp. 846-853.
Vijaya, PA and Murty, Narasimha M and Subramanian, DK (2003) An efficient incremental protein sequence clustering algorithm. In: Conference on Convergent Technologies for Asia-Pacific Region TENCON 2003, 15-17 October, Bangalore,India, Vol.1, 409 -413.
Parikh, Jignashu and Murty, Narasimha M (2002) Adapting Question Answering Techniques to the Web. In: Language Engineering Conference, 2002. LEC 2002, 13-15 December, Hyderabad,India, pp. 163-171.
Vishwanathan, SVN and Murty, Narasimha M (2002) Geometric SVM: A Fast and Intuitive SVM Algorithm. In: 16th International Conference on Pattern Recognition, 2002, 11-15 August, Canada, Vol.2, 56-59.
Vishwanathan, SVM and Murty, Narasimha M (2002) SSVM: A Simple SVM Algorithm. In: 2002 International Joint Conference on Neural Networks. IJCNN '02, 12-17 May, Honolulu,Hawaii, Vol.3, 2393-2398.
Dukkipati, Ambedkar and Murty, Narasimha M (2002) Selection by Parts: 'Selection in Two Episodes' in Evolutionary Algorithms. In: 2002 Congress on Evolutionary Computation. CEC '02, 12-17 May, Honolulu,Hawaii, Vol.1, 657 -662.
Moser, Andreas and Murty, Narasimha M (2000) On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection. In: Lecture Notes in Computer Science, April 2000, Edinburgh, Scotland, UK, pp. 77-86.
Ananthanarayana, VS and Subramanian, DK and Murty, Narasimha M (2000) Scalable, Distributed and Dynamic Mining of Association Rules. In: 7th International Conference of High Performance Computing - HiPC 2000, December 2000, Bangalore, India, pp. 559-566.
Babu, Phanendra G and Murty, Narasimha M (1993) A Probabilistic Neural Network for Designing Good Codes. In: 1993 International Joint Conference on Neural Networks (IJCNN '93-Nagoya), 25-29 October, Japan, Vol.2, 1590 -1593.
Srinivasan, SH and Murty, Narasimha M (1991) Validation in Distributed Representations. In: 1991 IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems. TENCON '91, 28-30 August, New Delhi,India, Vol.2, 162-164.
Srinivasan, SH and Murty, Narasimha M (1991) Validation in Distributed Representations. In: 1991 IEEE International Joint Conference on Neural Networks, 18 - 21 November, Singapore, Vol.1, 36-41.
Shekar, B and Murty, Narasimha M and Krishna, G (1991) A plausible acquisition-model for semantic synthesis of patterns. In: Artificial Intelligence in the Pacific Rim. Proceedings of the Pacific Rim International Conference on Artificial Intelligence, 14-16 Nov. 1990, Nagoya, Japan, pp. 631-636.
Sridhar, V and Murty, Narasimha M and Krishna, G (1990) Minimal models and real-world models. In: Applications of Artificial Intelligence VIII, 17-19 April 1990, Orlando, FL, USA, pp. 1032-1038.
Shekar, B and Murty, Narasimha M and Krishna, G (1990) The function-acquisition paradigm in a knowledge-based concept-synthesis environment. In: Algorithmic Learning Theory, 8-10 Oct. 1990, Tokyo, Japan, pp. 97-108.
Sridhar, V and Murty, Narasimha M and Krishna, G (1989) A Logical Model for Decision-Making. In: IEEE International Conference on Systems, Man and Cybernetics, 1989, 14-17 November, Cambridge,MA, Vol.3, 1142-1147.
Chaudhari, Sneha and Murty, Narasimha M (2014) Average Overlap for Clustering Incomplete Data using Symmetric Non-Negative Matrix Factorization. In: 22nd International Conference on Pattern Recognition (ICPR), AUG 24-28, 2014, Swedish Soc Automated Image Anal, Stockholm, SWEDEN, pp. 1431-1436.
Asharaf, S and Shevade, SK and Murty, Narasimha M (2006) Scalable Rough Support Vector Clustering. CSA/ISL/ASH 0001.
Vishwanathan, SVN and Murty, Narasimha M (2002) Kernel Enabled K-Means Algorithm. UNSPECIFIED.
Viswanath, P and Murty, Narasimha M (2002) An efficient incremental mining algorithm for compact realization of prototypes. UNSPECIFIED.
Suri, Ranga NNR and Murty, Narasimha M and Athithan, G (2016) Detecting outliers in categorical data through rough clustering. In: NATURAL COMPUTING, 15 (3, SI). pp. 385-394.
Thomas, Shyni and Deodhare, Dipti and Murty, Narasimha M (2015) Extended Conflict-Based Search for the Convoy Movement Problem. In: IEEE INTELLIGENT SYSTEMS, 30 (6). pp. 60-70.
Manjunath, Geetha and Murty, Narasimha M and Sitaram, Dinkar (2013) Combining heterogeneous classifiers for relational databases. In: Pattern Recognition, 46 (1). pp. 317-324.
Garg, Vikas K and Narahari, Y and Murty, Narasimha M (2013) Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory. In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 25 (5). pp. 1070-1082.
Babua, Ravindra T and Murty, Narasimha M and Agrawal, VK (2007) Classification of run-length encoded binary data. In: Pattern Recognition, 40 (1). 321 -323.
Vijaya, PA and Murty, Narasimha M and Subramanian, DK (2006) Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification. In: Pattern Recognition, 39 (12). pp. 2344-2355.
Vijaya, PA and Murty, Narasimha M and Subramanian, DK (2006) Efficient median based clustering and classification techniques for protein sequences. In: Pattern Analysis & Applications, 9 (2-3). pp. 243-255.
Viswanath, P and Murty, Narasimha M and Bhatnagar, Shalabh (2006) Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification. In: Pattern recognition Letters, 27 (14). pp. 1714-1724.
Asharaf, S and Murty, Narasimha M and Shevade, SK (2006) Rough set based incremental clustering of interval data. In: Pattern Recognition Letters, 27 (6). pp. 515-519.
Dukkipati, Ambedkar and Murty, Narasimha M and Bhatnagar, Shalabh (2006) Nonextensive triangle equality and other properties of Tsallis relative-entropy minimization. In: Physica A-Statistical Mechanics And Its Applications, 361 (1). pp. 124-138.
Agrawal, Monu and Gupta, Neha and Shreelekshmi, R and Murty, Narasimha M (2005) Efficient pattern synthesis for nearest neighbour classifier. In: Pattern Recognition, 38 (11). pp. 2200-2203.
Asharaf, S and Shevade, SK and Murty, Narasimha M (2005) Rough support vector clustering. In: Pattern Recognition, 38 (10). pp. 1779-1783.
Viswanath, P and Murty, Narasimha M and Bhatnagar, Shalabh (2005) Overlap pattern synthesis with an efficient nearest neighbor classifier. In: Pattern Recognition, 38 (8). pp. 1187-1195.
Asharaf, S and Murty, Narasimha M (2004) A rough fuzzy approach to web usage categorization. In: Fuzzy Sets and Systems, 148 (1). pp. 119-129.
Vijaya, PA and Murty, Narasimha M and Subramanian, DK (2004) Leaders-Subleaders: An efficient hierarchical clustering algorithm for large data sets. In: Pattern Recognition Letters, 25 (4). pp. 505-513.
Ananthanarayana, VS and Murty, Narasimha M and Subramanian, DK (2003) Tree structure for efficient data mining using rough sets. In: Pattern Recognition Letters, 24 (6). pp. 851-862.
Subramanian, DK and Ananthanarayana, VS and Murty, Narasimha M (2003) Knowledge-based association rule mining using AND–OR taxonomies. In: Knowledge-Based Systems, 16 (1). pp. 37-45.
Sushella, Devi V and Murty, Narasimha M (2002) An Incremental Prototype Set Building Technique. In: Pattern Recognition, 35 (2). pp. 505-513.
Ananthanarayana, VS and Murty, Narasimha M and Subramanian, DK (2001) Efficient clustering of large data sets. In: Pattern Recognition, 34 (12). pp. 2561-2563.
Saradhi, Vijaya V and Murty, Narasimha M (2001) Bootstrapping for efficient handwritten digit recognition. In: Pattern Recognition, 34 (5). pp. 1047-1056.
Ananthanarayanan, VS and Murty, Narasimha M and Subramanian, DK (2001) Multi-dimensional semantic clustering of large databases for association rule mining. In: Pattern Recognition, 34 (4). pp. 939-941.
Babu, Ravindra T and Murty, Narasimha M (2001) Comparison of genetic algorithm based prototype selection schemes. In: Pattern Recognition, 34 (2). pp. 523-525.
Vishwanathan, SVN and Murty, Narasimha M (2000) Kohonen's SOM with cache. In: Pattern Recognition, 33 (11). pp. 1927-1929.
Babu, Phanendra G and Murty, Narasimha M and Keerthi, Sathiya S (2000) A Stochastic Connectionist Approach for Global Optimization with Application to Pattern Clustering. In: IEEE Transactions on Systems Man and Cybernetics Part B Cybernetics, 30 (1). pp. 10-24.
Devi, Susheela V and Murty, Narasimha M (2000) Stochastic search techniques for post-fault restoration of electrical distribution systems. In: Sadhana, 25 (1). pp. 45-56.
Krishna, K and Murty, Narasimha M (1999) Genetic K-Means Algorithm. In: IEEE Transactions on Systems Man And Cybernetics-Part B: Cybernetics, 29 (3). pp. 433-439.
Ramesh, VE and Murty, Narasimha M (1999) Off-line signature verification using genetically optimized weighted features. In: Pattern Recognition, 32 (2). pp. 217-233.
Prakash, M and Murty, Narasimha M (1997) Growing Subspace Pattern Recognition Methods and Their Neural-Network Models. In: IEEE Transactions on Neural Networks, 8 (1). 161 -168.
Prakash, M and Murty, Narasimha M (1997) Hebbian learning subspace method: A new approach. In: Pattern Recognition, 30 (1). pp. 141-149.
Prakash, M and Murty, Narasimha M (1996) Extended subspace methods of pattern recognition. In: Pattern Recognition Letters, 17 (11). pp. 1131-1139.
Prakash, M and Murty, Narasimha M (1995) A genetic approach for selection of (near-) optimal subsets of principal components for discrimination. In: Pattern Recognition Letters, 16 (8). pp. 781-787.
Babu, Phanendra G and Murty, Narasimha M (1995) Optimal thresholding using multi-state stochastic connectionist approach. In: Pattern Recognition Letters, 16 (1). pp. 11-18.
Sridhar, V and Murty, Narasimha M (1994) Knowledge-based clustering approach for data abstraction. In: Knowledge-Based Systems, 7 (2). pp. 103-113.
Babu, Phanendra G and Murty, Narasimha M (1994) Clustering with evolution strategies. In: Pattern Recognition, 27 (2). pp. 321-329.
Sridhar, V and Murty, Narasimha M (1993) Belief revision - an axiomatic approach. In: Journal of Intelligent and Robotic Systems, 8 (2). pp. 127-153.
Babu, Phanendra G and Murty, Narasimha M (1993) A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm. In: Pattern Recognition Letters, 14 (10). pp. 763-769.
Sridhar, V and Murty, Narasimha M (1991) A knowledge-based clustering algorithm. In: Pattern Recognition Letters, 12 (9). pp. 511-517.
Sridhar, V and Murty, Narasimha M (1991) Model-theoretic approach to clustering. In: Knowledge-Based Systems, 4 (2). pp. 87-94.
Sridhar, V and Murty, Narasimha M (1991) Clustering Algorithms for Library Comparison. In: Pattern Recognition, 24 (9). pp. 815-823.
Bhandaru, Malini K and Murty, Narasimha M (1991) Incremental Learning from Examples Using HC-Expressions. In: Pattern Recognition, 24 (4). pp. 273-282.
Chitoor, Suresh S and Murty, Narasimha M and Bhandaru, Malini K (1991) A New Data Structure HC-Expression for Learning from Examples. In: Pattern Recognition, 24 (1). pp. 19-29.
Choudhury, Sabyasachy and Murty, Narasimha M (1990) A division scheme for constructing minimal spanning trees in coordinate space. In: Pattern Recognition Letters, 11 (6). pp. 385-389.
Choudhury, Sabyasachy and Murty, Narasimha M (1990) A divisive scheme for constructing minimal spanning trees in coordinate space. In: Pattern Recognition Letters, 11 (6). pp. 385-389.
Murty, Narasimha M and Krishna, G (1980) A computationally efficient technique for data-clustering. In: Pattern Recognition, 12 (3). pp. 153-158.
