| 2021 | AAAI | Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract). | Shikha Singh, Deepak Khemani |
| 2018 | AAAI | Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction. | Stanley Simoes, Deepak P, Munu Sairamesh, Deepak Khemani, Sameep Mehta |
| 2018 | FlAIRS | Content Selection for Time Series Summarization Using Case-Based Reasoning. | Neha Dubey, Sutanu Chakraborti, Deepak Khemani |
| 2016 | AAAI | Ontology Re-Engineering: A Case Study from the Automotive Industry. | Nestor Rychtyckyj, Venkatesh Raman, Baskaran Sankaranarayanan, P. Sreenivasa Kumar, Deepak Khemani |
| 2016 | FlAIRS | Hybrid of Qualitative and Quantitative Knowledge Models for Solving Physics Word Problems. | Savitha Sam Abraham, Deepak Khemani |
| 2015 | KI | Improving Heuristics On-the-fly for Effective Search in Plan Space. | Shashank Shekhar, Deepak Khemani |
| 2014 | ICCBR | Linking Cases Up: An Extension to the Case Retrieval Network. | Shubhranshu Shekhar, Sutanu Chakraborti, Deepak Khemani |
| 2013 | ECIR | Query Suggestions for Textual Problem Solution Repositories. | Deepak P, Sutanu Chakraborti, Deepak Khemani |
| 2012 | ICAART | Planning for the Convoy Movement Problem. | Anand Kumar, I. Murugeswari, Deepak Khemani, N. S. Narayanaswamy |
| 2011 | CIKM | More or better: on trade-offs in compacting textual problem solution repositories. | Deepak P, Sutanu Chakraborti, Deepak Khemani |
| 2011 | FlAIRS | Optimizing Hidden Markov Models for Ocean Feature Detection. | Sandeep Kumar, Sergio Jimnez Celorrio, Frederic Py, Deepak Khemani, Kanna Rajan |
| 2009 | CIKM | Interpretable and reconfigurable clustering of document datasets by deriving word-based rules. | Vipin Balachandran, Deepak P, Deepak Khemani |
| 2009 | ICCBR | Robust Measures of Complexity in TCBR. | M. A. Raghunandan, Sutanu Chakraborti, Deepak Khemani |
| 2006 | COMAD | Unsupervised Learning from URL Corpora. | Deepak P, Deepak Khemani |
| 2006 | COMAD | UnURL: Unsupervised Learning from URLs. | Deepak P, Deepak Khemani |
| 2006 | FlAIRS | Improving Case-Based Recommendations Using Implicit Feedback. | Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangani, Delip Rao |
| 2006 | FlAIRS | Corpus Based Unsupervised Labeling of Documents. | Delip Rao, Deepak P, Deepak Khemani |
| 2006 | PRICAI | Building Clusters of Related Words: An Unsupervised Approach. | Deepak P, Delip Rao, Deepak Khemani |
| 2005 | FlAIRS | A Case for Usage of Case Usage in Case-Based Reasoning. | Mohamed A. K. Sadiq, Deepak Khemani |
| 2005 | FlAIRS | An Oracle based Meta-Learner for ID3. | R. Syama Sundar Yadav, Deepak Khemani |
| 2004 | AIMSA | An Oracle Based Meta-learner for Function Decomposition. | R. Syama Sundar Yadav, Deepak Khemani |
| 2003 | ICCBR | Managing Experience for Process Improvement in Manufacturing. | Radhika B. Selvamani, Deepak Khemani |
| 2002 | FlAIRS | An Industrial Application of CBR in Manufacturing to Reduce Rejections. | M. Michael, Deepak Khemani |
| 1997 | EPIA | Cooperative Memory Structures and Commonsense Knowledge for Planning. | P. V. S. R. Bhanu Prasad, Deepak Khemani |
| 1995 | ICCBR | A Memory-Based Hierarchical Planner. | Deepak Khemani, P. V. S. R. Bhanu Prasad |