| 2024 | ICPR | Learning Dynamic Representations in Large Language Models for Evolving Data Streams. | Ashish Srivastava, Shalabh Bhatnagar, M. Narasimha Murty, Jagannathan Ramanujam |
| 2021 | PAKDD | A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. | Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty |
| 2020 | ECAI | Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. | Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty |
| 2020 | IJCAI | C3MM: Clique-Closure based Hyperlink Prediction. | Govind Sharma, Prasanna Patil, M. Narasimha Murty |
| 2020 | PAKDD | GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. | Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty |
| 2020 | PAKDD | Negative Sampling for Hyperlink Prediction in Networks. | Prasanna Patil, Govind Sharma, M. Narasimha Murty |
| 2020 | WSDM | Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding. | Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty |
| 2019 | AAAI | Outlier Aware Network Embedding for Attributed Networks. | Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty |
| 2018 | AAAI | Overlap-Robust Decision Boundary Learning for Within-Network Classification. | Sharad Nandanwar, M. Narasimha Murty |
| 2018 | ICPR | A Generic Axiomatic Characterization for Measuring Influence in Social Networks. | Sambaran Bandyopadhyay, Ramasuri Narayanam, M. Narasimha Murty |
| 2018 | WSDM | Fusing Diversity in Recommendations in Heterogeneous Information Networks. | Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty |
| 2016 | ICPR | Axioms to characterize efficient incremental clustering. | Sambaran Bandyopadhyay, M. Narasimha Murty |
| 2016 | KDD | Structural Neighborhood Based Classification of Nodes in a Network. | Sharad Nandanwar, M. Narasimha Murty |
| 2014 | ICPR | Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization. | Sneha Chaudhari, M. Narasimha Murty |
| 2014 | PAKDD | Characterizing Temporal Anomalies in Evolving Networks. | N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan |
| 2013 | ICONIP | Using Discriminative Phrases for Text Categorization. | Sreya Dey, M. Narasimha Murty |
| 2013 | IJCNN | Optimizing F-measure with non-convex loss and sparse linear classifiers. | Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty |
| 2012 | HIS | An algorithm for mining outliers in categorical data through ranking. | N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan |
| 2012 | HIS | Unsupervised feature selection for outlier detection in categorical data using mutual information. | N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan |
| 2012 | ICONIP | Feature Selection for Unsupervised Learning. | Jyoti Ranjan Adhikary, M. Narasimha Murty |
| 2012 | ICONIP | Discriminative Feature Analysis and Selection for Document Classification. | Punya Murthy Chinta, M. Narasimha Murty |
| 2012 | ICONIP | Hybrid Online Non-negative Matrix Factorization for Clustering of Documents. | Vinod Jadhao, M. Narasimha Murty |
| 2012 | ICONIP | Obtaining Single Document Summaries Using Latent Dirichlet Allocation. | Karthik Nagesh, M. Narasimha Murty |
| 2012 | ICONIP | A Regularized Linear Classifier for Effective Text Classification. | Sharad Nandanwar, M. Narasimha Murty |
| 2012 | ICPR | On the relation between K-means and PLSA. | Arghya Roy Chaudhuri, M. Narasimha Murty |
| 2012 | ICPR | Efficient classification using phrases generated by topic models. | Deepak Gujraniya, M. Narasimha Murty |
| 2011 | IDA | Mining Sentiments from Songs Using Latent Dirichlet Allocation. | Govind Sharma, M. Narasimha Murty |
| 2010 | ICPR | Maximum Entropy Model Based Classification with Feature Selection. | Ambedkar Dukkipati, Abhay Kumar Yadav, M. Narasimha Murty |
| 2010 | ICPR | A Practical Heterogeneous Classifier for Relational Databases. | Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram |
| 2010 | PAKDD | On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. | R. Arun, V. Suresh, C. E. Veni Madhavan, M. Narasimha Murty |
| 2008 | ICDM | Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams. | B. N. Ranganath, M. Narasimha Murty |
| 2007 | ICML | Multiclass core vector machine. | S. Asharaf, M. Narasimha Murty, Shirish K. Shevade |
| 2007 | ICML | Focused crawling with scalable ordinal regression solvers. | Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty |
| 2007 | ICML | A fast linear separability test by projection of positive points on subspaces. | A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal |
| 2006 | ICDM | Cluster Based Core Vector Machine. | Asharaf S., M. Narasimha Murty, Shirish K. Shevade |
| 2006 | ICPR | Scalable non-linear Support Vector Machine using hierarchical clustering. | S. Asharaf, M. Narasimha Murty |
| 2006 | IJCNN | Bimodal Projection-based Features for Pattern Classification. | Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty |
| 2006 | KDD | Clustering based large margin classification: a scalable approach using SOCP formulation. | J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty |
| 2005 | CEC | Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. | Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar |
| 2004 | CEC | Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms. | Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar |
| 2004 | HIS | Hybrid Learning Scheme for Data Mining Applications. | T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal |
| 2004 | HIS | Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data. | T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal |
| 2004 | ICPR | An Efficient Technique for Protein Sequence Clustering and Classification. | P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian |
| 2004 | ICPR | A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition. | P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar |
| 2003 | CEC | Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties. | Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar |
| 2003 | ICML | SimpleSVM. | S. V. N. Vishwanathan, Alexander J. Smola, M. Narasimha Murty |
| 2002 | CEC | Selection by parts: 'selection in two episodes' in evolutionary algorithms. | Ambedkar Dukkipati, M. Narasimha Murty |
| 2002 | HIS | Jigsawing : A Method to Create Virtual Examples in OCR data. | S. V. N. Vishwanathan, M. Narasimha Murty |
| 2002 | ICPR | Geometric SVM: A Fast and Intuitive SVM Algorithm. | S. V. N. Vishwanathan, M. Narasimha Murty |
| 2001 | HIS | Use of Multi-category Proximal SVM for Data Set Reduction. | S. V. N. Vishwanathan, M. Narasimha Murty |
| 2000 | HiPC | Scalable, Distributed and Dynamic Mining of Association Rules. | V. S. Ananthanarayana, D. K. Subramanian, M. Narasimha Murty |
| 1990 | ALT | The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment. | B. Shekar, M. Narasimha Murty, G. Krishna |
| 1989 | SMC | A logical model for decision-making. | V. Sridhar, M. Narasimha Murty, G. Krishna |
| 1987 | IJCAI | Pattern Clustering: An Artificial Intelligence Approach. | B. Shekar, M. Narasimha Murty, G. Krishna |