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| 2012 | ||
|---|---|---|
| 34 | Anand Kumar, I. Murugeswari, Deepak Khemani, N. S. Narayanaswamy: Planning for the Convoy Movement Problem. ICAART (1) 2012: 495-498 | |
| 33 | Deepak Khemani: A Perspective on AI Research in India. AI Magazine 33(1): (2012) | |
| 2011 | ||
| 32 | Deepak P, Sutanu Chakraborti, Deepak Khemani: More or better: on trade-offs in compacting textual problem solution repositories. CIKM 2011: 2321-2324 | |
| 31 | Sandeep Kumar, Sergio Jiménez Celorrio, Frederic Py, Deepak Khemani, Kanna Rajan: Optimizing Hidden Markov Models for Ocean Feature Detection. FLAIRS Conference 2011 | |
| 2009 | ||
| 30 | Vipin Balachandran, Deepak P, Deepak Khemani: Interpretable and reconfigurable clustering of document datasets by deriving word-based rules. CIKM 2009: 1773-1776 | |
| 29 | M. A. Raghunandan, Sutanu Chakraborti, Deepak Khemani: Robust Measures of Complexity in TCBR. ICCBR 2009: 270-284 | |
| 2008 | ||
| 28 | Sutanu Chakraborti, Ulises Cerviño Beresi, Nirmalie Wiratunga, Stewart Massie, Robert Lothian, Deepak Khemani: Visualizing and Evaluating Complexity of Textual Case Bases. ECCBR 2008: 104-119 | |
| 27 | M. A. Raghunandan, Nirmalie Wiratunga, Sutanu Chakraborti, Stewart Massie, Deepak Khemani: Evaluation Measures for TCBR Systems. ECCBR 2008: 444-458 | |
| 26 | Deepak Khemani, Mary Joseph Minu, Variganti Saritha: Case Based Interpretation of Soil Chromatograms. ECCBR 2008: 587-599 | |
| 2007 | ||
| 25 | Variganti Saritha, Mary Joseph Minu, Sukhendu Das, Deepak Khemani: Chromatogram Image Pre-Processing and Feature Extraction for Automatic Soil Analysis. ICCTA 2007: 726-730 | |
| 2006 | ||
| 24 | Deepak P, Deepak Khemani: Unsupervised Learning from URL Corpora. COMAD 2006: 128-139 | |
| 23 | Deepak P, Deepak Khemani: UnURL: Unsupervised Learning from URLs. COMAD 2006: 198-201 | |
| 22 | Delip Rao, Deepak P, Deepak Khemani: Corpus Based Unsupervised Labeling of Documents. FLAIRS Conference 2006: 321-326 | |
| 21 | Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangani, Delip Rao: Improving Case-Based Recommendations Using Implicit Feedback. FLAIRS Conference 2006: 364-369 | |
| 20 | Bharat Ranjan Kavuluri, Naresh Babu Saladi, Deepak Khemani: Planning for PDDL3 - An OCSP Based Approach. ICAPS 2006: 398-401 | |
| 19 | Deepak P, Delip Rao, Deepak Khemani: Differential Voting in Case Based Spam Filtering. Industrial Conference on Data Mining - Posters 2006: 230-243 | |
| 18 | Deepak P, Delip Rao, Deepak Khemani: Building Clusters of Related Words: An Unsupervised Approach. PRICAI 2006: 474-483 | |
| 2005 | ||
| 17 | Mohamed A. K. Sadiq, Deepak Khemani: A Case for Usage of Case Usage in Case-Based Reasoning. FLAIRS Conference 2005: 135-141 | |
| 16 | R. Syama Sundar Yadav, Deepak Khemani: An Oracle based Meta-Learner for ID3. FLAIRS Conference 2005: 424-430 | |
| 15 | Radhika B. Selvamani, Deepak Khemani: Decision Tree Induction with CBR. PReMI 2005: 786-791 | |
| 2004 | ||
| 14 | R. Syama Sundar Yadav, Deepak Khemani: An Oracle Based Meta-learner for Function Decomposition. AIMSA 2004: 158-167 | |
| 13 | Kiran Kumar Penta, Deepak Khemani: Satellite Health Monitoring Using CBR Framework. ECCBR 2004: 732-747 | |
| 12 | U. Senthil, Deepak Khemani: A Domain Independent Algorithm for Adapting Temporal Plans. IC-AI 2004: 678-686 | |
| 2003 | ||
| 11 | Radhika B. Selvamani, Deepak Khemani: Managing Experience for Process Improvement in Manufacturing. ICCBR 2003: 522-536 | |
| 10 | P. Kiran, K. Prasanna, Deepak Khemani, P. Sreenivasa Kumar: Design of CBR System for Multi Variate Time Series Analysis. IICAI 2003: 819-832 | |
| 2002 | ||
| 9 | Deepak Khemani, Radhika B. Selvamani, Ananda Rabi Dhar, S. M. Michael: InfoFrax : CBR in Fused Cast Refractory Manufacture. ECCBR 2002: 560-574 | |
| 8 | M. Michael, Deepak Khemani: An Industrial Application of CBR in Manufacturing to Reduce Rejections. FLAIRS Conference 2002: 116-120 | |
| 7 | S. M. Michael, Deepak Khemani: Knowledge Management in Manufacturing Technology: An A.I. Application in the Industry. ICEIS 2002: 506-511 | |
| 1999 | ||
| 6 | Girish Keshav Palshikar, Deepak Khemani: Diagnosing dynamic systems using trace patterns. Pattern Recognition Letters 20(7): 741-753 (1999) | |
| 1998 | ||
| 5 | Manish Sarkar, B. Yegnanarayana, Deepak Khemani: Backpropagation learning algorithms for classification with fuzzy mean square error. Pattern Recognition Letters 19(1): 43-51 (1998) | |
| 1997 | ||
| 4 | P. V. S. R. Bhanu Prasad, Deepak Khemani: Cooperative Memory Structures and Commonsense Knowledge for Planning. EPIA 1997: 319-324 | |
| 3 | Manish Sarkar, B. Yegnanarayana, Deepak Khemani: A clustering algorithm using an evolutionary programming-based approach. Pattern Recognition Letters 18(10): 975-986 (1997) | |
| 1995 | ||
| 2 | Deepak Khemani, P. V. S. R. Bhanu Prasad: A Memory-Based Hierarchical Planner. ICCBR 1995: 501-509 | |
| 1994 | ||
| 1 | Deepak Khemani: Planning with Thematic Actions. AIPS 1994: 287-292 | |
Colors in the list of coauthors
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