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Deepak Khemani
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2020 – today
- 2023
- [c45]Shikha Singh, Kamal Lodaya, Deepak Khemani:
Two Ways to Scare a Gruffalo. ICLA 2023: 48-67 - 2022
- [i3]Shikha Singh, Kamal Lodaya, Deepak Khemani:
Agent-update Models. CoRR abs/2211.02452 (2022) - 2021
- [c44]Shikha Singh, Deepak Khemani:
Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract). AAAI 2021: 15893-15894 - 2020
- [c43]Shikha Singh, Deepak Khemani:
Planning with Subjective Knowledge in a Multi-Agent Scenario. SETN 2020: 1-9 - [i2]Shikha Singh, Deepak Khemani:
Subjective Knowledge and Reasoning about Agents in Multi-Agent Systems. CoRR abs/2001.08016 (2020)
2010 – 2019
- 2018
- [c42]Stanley Simoes, Deepak P, Munu Sairamesh, Deepak Khemani, Sameep Mehta:
Content and Context: Two-Pronged Bootstrapped Learning for Regex-Formatted Entity Extraction. AAAI 2018: 5924-5931 - [c41]Neha Dubey, Sutanu Chakraborti, Deepak Khemani:
Content Selection for Time Series Summarization Using Case-Based Reasoning. FLAIRS 2018: 395-398 - 2017
- [j6]Nestor Rychtyckyj, Venkatesh Raman, Baskaran Sankaranarayanan, P. Sreenivasa Kumar, Deepak Khemani:
Ontology Re-Engineering: A Case Study from the Automotive Industry. AI Mag. 38(1): 49-60 (2017) - [c40]Sowmya S. Sundaram, Deepak Khemani:
Reasoning with Sets to Solve Simple Word Problems Automatically. ICON 2017: 188-196 - 2016
- [c39]Nestor Rychtyckyj, Venkatesh Raman, Baskaran Sankaranarayanan, P. Sreenivasa Kumar, Deepak Khemani:
Ontology Re-Engineering: A Case Study from the Automotive Industry. AAAI 2016: 3974-3981 - [c38]Savitha Sam Abraham, Deepak Khemani:
Hybrid of Qualitative and Quantitative Knowledge Models for Solving Physics Word Problems. FLAIRS 2016: 510-515 - [i1]Shashank Shekhar, Deepak Khemani:
Learning and Tuning Meta-heuristics in Plan Space Planning. CoRR abs/1601.07483 (2016) - 2015
- [c37]Sowmya S. Sundaram, Deepak Khemani:
Natural Language Processing for Solving Simple Word Problems. ICON 2015: 394-402 - [c36]Shashank Shekhar, Deepak Khemani:
Improving Heuristics On-the-fly for Effective Search in Plan Space. KI 2015: 302-308 - [c35]Shubhranshu Shekhar, Sutanu Chakraborti, Deepak Khemani:
Spreading Activation Way of Knowledge Integration. MIKE 2015: 1-11 - [c34]Shashank Shekhar, Deepak Khemani:
Extending and Tuning Heuristics for a Partial Order Causal Link Planner. MIKE 2015: 81-92 - 2014
- [c33]Shubhranshu Shekhar, Sutanu Chakraborti, Deepak Khemani:
Linking Cases Up: An Extension to the Case Retrieval Network. ICCBR 2014: 450-464 - 2013
- [c32]Deepak P, Sutanu Chakraborti, Deepak Khemani:
Query Suggestions for Textual Problem Solution Repositories. ECIR 2013: 569-581 - 2012
- [j5]Deepak Khemani:
A Perspective on AI Research in India. AI Mag. 33(1): 96-98 (2012) - [j4]Vipin Balachandran, Deepak P
, Deepak Khemani:
Interpretable and reconfigurable clustering of document datasets by deriving word-based rules. Knowl. Inf. Syst. 32(3): 475-503 (2012) - [c31]Nitin Kumar Dhiman, Dipti Deodhare, Deepak Khemani:
A review of path planning and mapping technologies for autonomous mobile robot systems. COMPUTE 2012: 3 - [c30]Anand Kumar, I. Murugeswari, Deepak Khemani, N. S. Narayanaswamy:
Planning for the Convoy Movement Problem. ICAART (1) 2012: 495-498 - 2011
- [c29]Deepak P, Sutanu Chakraborti, Deepak Khemani:
More or better: on trade-offs in compacting textual problem solution repositories. CIKM 2011: 2321-2324 - [c28]Sandeep Kumar, Sergio Jiménez Celorrio, Frederic Py, Deepak Khemani, Kanna Rajan:
Optimizing Hidden Markov Models for Ocean Feature Detection. FLAIRS 2011
2000 – 2009
- 2009
- [c27]Vipin Balachandran, Deepak P, Deepak Khemani:
Interpretable and reconfigurable clustering of document datasets by deriving word-based rules. CIKM 2009: 1773-1776 - [c26]M. A. Raghunandan, Sutanu Chakraborti, Deepak Khemani:
Robust Measures of Complexity in TCBR. ICCBR 2009: 270-284 - 2008
- [c25]Sutanu Chakraborti, Ulises Cerviño Beresi, Nirmalie Wiratunga
Visualizing and Evaluating Complexity of Textual Case Bases. ECCBR 2008: 104-119 - [c24]M. A. Raghunandan, Nirmalie Wiratunga
Evaluation Measures for TCBR Systems. ECCBR 2008: 444-458 - [c23]Deepak Khemani, Mary Joseph Minu, Variganti Saritha:
Case Based Interpretation of Soil Chromatograms. ECCBR 2008: 587-599 - 2007
- [c22]Variganti Saritha, Mary Joseph Minu, Sukhendu Das
Chromatogram Image Pre-Processing and Feature Extraction for Automatic Soil Analysis. ICCTA 2007: 726-730 - 2006
- [c21]Bharat Ranjan Kavuluri, Naresh Babu Saladi, Deepak Khemani:
Planning for PDDL3 - An OCSP Based Approach. ICAPS 2006: 398-401 - [c20]Deepak P, Deepak Khemani:
Unsupervised Learning from URL Corpora. COMAD 2006: 128-139 - [c19]Deepak P, Deepak Khemani:
UnURL: Unsupervised Learning from URLs. COMAD 2006: 198-201 - [c18]Delip Rao, Deepak P, Deepak Khemani:
Corpus Based Unsupervised Labeling of Documents. FLAIRS 2006: 321-326 - [c17]Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangani, Delip Rao:
Improving Case-Based Recommendations Using Implicit Feedback. FLAIRS 2006: 364-369 - [c16]Deepak P, Delip Rao, Deepak Khemani:
Differential Voting in Case Based Spam Filtering. ICDM (Posters) 2006: 230-243 - [c15]Deepak P
Building Clusters of Related Words: An Unsupervised Approach. PRICAI 2006: 474-483 - 2005
- [c14]Mohamed A. K. Sadiq, Deepak Khemani:
A Case for Usage of Case Usage in Case-Based Reasoning. FLAIRS 2005: 135-141 - [c13]R. Syama Sundar Yadav, Deepak Khemani:
An Oracle based Meta-Learner for ID3. FLAIRS 2005: 424-430 - [c12]Radhika B. Selvamani
Decision Tree Induction with CBR. PReMI 2005: 786-791 - 2004
- [c11]R. Syama Sundar Yadav, Deepak Khemani:
An Oracle Based Meta-learner for Function Decomposition. AIMSA 2004: 158-167 - [c10]Kiran Kumar Penta, Deepak Khemani:
Satellite Health Monitoring Using CBR Framework. ECCBR 2004: 732-747 - [c9]U. Senthil, Deepak Khemani:
A Domain Independent Algorithm for Adapting Temporal Plans. IC-AI 2004: 678-686 - 2003
- [c8]Radhika B. Selvamani
Managing Experience for Process Improvement in Manufacturing. ICCBR 2003: 522-536 - [c7]P. Kiran, K. Prasanna, Deepak Khemani, P. Sreenivasa Kumar:
Design of CBR System for Multi Variate Time Series Analysis. IICAI 2003: 819-832 - 2002
- [c6]Deepak Khemani, Radhika B. Selvamani
InfoFrax : CBR in Fused Cast Refractory Manufacture. ECCBR 2002: 560-574 - [c5]M. Michael, Deepak Khemani:
An Industrial Application of CBR in Manufacturing to Reduce Rejections. FLAIRS 2002: 116-120 - [c4]S. M. Michael, Deepak Khemani:
Knowledge Management in Manufacturing Technology: An A.I. Application in the Industry. ICEIS 2002: 506-511
1990 – 1999
- 1999
- [j3]Girish Keshav Palshikar, Deepak Khemani:
Diagnosing dynamic systems using trace patterns. Pattern Recognit. Lett. 20(7): 741-753 (1999) - 1998
- [j2]Manish Sarkar, B. Yegnanarayana, Deepak Khemani:
Backpropagation learning algorithms for classification with fuzzy mean square error. Pattern Recognit. Lett. 19(1): 43-51 (1998) - 1997
- [j1]Manish Sarkar, B. Yegnanarayana, Deepak Khemani:
A clustering algorithm using an evolutionary programming-based approach. Pattern Recognit. Lett. 18(10): 975-986 (1997) - [c3]P. V. S. R. Bhanu Prasad, Deepak Khemani:
Cooperative Memory Structures and Commonsense Knowledge for Planning. EPIA 1997: 319-324 - 1995
- [c2]Deepak Khemani, P. V. S. R. Bhanu Prasad:
A Memory-Based Hierarchical Planner. ICCBR 1995: 501-509 - 1994
- [c1]Deepak Khemani:
Planning with Thematic Actions. AIPS 1994: 287-292
Coauthor Index
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