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2020 – today
- 2024
[c70]Adwait P. Parsodkar, Deepak P, Sutanu Chakraborti:
Navigating the Landscape of Case Fidelity and Competence in Case-Based Reasoning. SGAI Conf. (1) 2024: 235-249- 2023
- [j3]Anbarasu Sekar
, Sutanu Chakraborti:
Modeling Tradeoffs Using Preference-Based Feedback in Session-Based Recommender Systems. IEEE Trans. Artif. Intell. 4(3): 511-521 (2023) - [c69]Adwait P. Parsodkar, Deepak P, Sutanu Chakraborti:
The Case for Circularities in Case-Based Reasoning. ICCBR 2023: 85-101 - [c68]Shania Mitra, Ditty Mathew, Deepak P, Sutanu Chakraborti:
Group Fairness in Case-Based Reasoning. ICCBR 2023: 217-232 - [e1]Stewart Massie, Sutanu Chakraborti:
Case-Based Reasoning Research and Development - 31st International Conference, ICCBR 2023, Aberdeen, UK, July 17-20, 2023, Proceedings. Lecture Notes in Computer Science 14141, Springer 2023, ISBN 978-3-031-40176-3 [contents] - 2022
- [c67]Arup Das, Bibekananda Kundu, Lokasis Ghorai, Arjun Kumar Gupta, Sutanu Chakraborti:
Anwesha: A Tool for Semantic Search in Bangla. ALTNLP 2022: 20-29 - [c66]Sarathi K., Shania Mitra, Deepak P, Sutanu Chakraborti:
Counterfactuals as Explanations for Monotonic Classifiers. ICCBR Workshops 2022: 177-188 - [c65]Adwait P. Parsodkar, Deepak P, Sutanu Chakraborti:
Never Judge a Case by Its (Unreliable) Neighbors: Estimating Case Reliability for CBR. ICCBR 2022: 256-270 - [c64]Arup Das, Joyojyoti Acharya, Bibekananda Kundu, Sutanu Chakraborti:
Revisiting Anwesha: Enhancing Personalised and Natural Search in Bangla. ICON 2022: 183-193 - 2021
- [c63]Ashika Sharma, Jaikishan Jayakumar, Namrata Sankaran, Partha P. Mitra, Sutanu Chakraborti, P. Sreenivasa Kumar:
ConnExt-BioBERT: Leveraging Transfer Learning for Brain-Connectivity Extraction from Neuroscience Articles. BI 2021: 235-244 - [c62]Srashti Kaurav, Devi Ganesan, Deepak P, Sutanu Chakraborti:
Thinking Fast and Slow: A CBR Perspective. FLAIRS 2021 - [c61]Srashti Kaurav, Devi Ganesan, Deepak P, Sutanu Chakraborti:
Revisiting Fast and Slow Thinking in Case-Based Reasoning. ICCBR 2021: 110-124 - [c60]Renganathan Subramanian, Devi Ganesan, Deepak P, Sutanu Chakraborti:
Towards Richer Realizations of Holographic CBR. ICCBR 2021: 201-215 - 2020
- [c59]Devi Ganesan, Sutanu Chakraborti:
Holographic Case-Based Reasoning. ICCBR 2020: 144-159
2010 – 2019
- 2019
- [c58]Devi Ganesan, Sutanu Chakraborti:
A Reachability-Based Complexity Measure for Case-Based Reasoners. FLAIRS 2019: 341-346 - [c57]Ditty Mathew, Sutanu Chakraborti:
An Optimal Case-Base Maintenance Method for Compositional Adaptation Applications. ICCBR 2019: 297-313 - [c56]Anbarasu Sekar, Sutanu Chakraborti:
Show Me Your Friends, I'll Tell You Who You Are: Recommending Products Based on Hidden Evidence. ICCBR 2019: 329-342 - [i1]Aakash Srinivasan, Harshavardhan Kamarthi, Devi Ganesan, Sutanu Chakraborti:
Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting. CoRR abs/1912.06889 (2019) - 2018
- [c55]Ditty Mathew, Sutanu Chakraborti:
Towards Compiling Textbooks from Wikipedia. Australasian Conference on Artificial Intelligence 2018: 828-842 - [c54]Ditty Mathew, Sutanu Chakraborti:
An Optimal Footprint Method for Case-Base Maintenance. FLAIRS 2018: 383-388 - [c53]Neha Dubey, Sutanu Chakraborti, Deepak Khemani:
Content Selection for Time Series Summarization Using Case-Based Reasoning. FLAIRS 2018: 395-398 - [c52]Anbarasu Sekar, Sutanu Chakraborti:
Towards Bridging the Gap between Manufacturer and Users to Facilitate Better Recommendation. FLAIRS 2018: 468-473 - [c51]Anbarasu Sekar, Devi Ganesan, Sutanu Chakraborti:
Why Did Naethan Pick Android over Apple? Exploiting Trade-offs in Learning User Preferences. ICCBR 2018: 354-368 - [c50]Ditty Mathew, Girish Raguvir Jeyakumar, Rahul Kejriwal, Sutanu Chakraborti:
Towards Predicting Age of Acquisition of Words Using a Dictionary Network. ICON 2018: 193-201 - [c49]Devi Ganesan, Sutanu Chakraborti:
An Empirical Study of Knowledge Tradeoffs in Case-Based Reasoning. IJCAI 2018: 1817-1823 - 2017
- [j2]Ditty Mathew, Sutanu Chakraborti:
A generalized case competence model for casebase maintenance. AI Commun. 30(3-4): 295-309 (2017) - [c48]Devi Ganesan, Ashish V. Tendulkar, Sutanu Chakraborti:
Protein Word Detection using Text Segmentation Techniques. BioNLP 2017: 238-246 - [c47]K. V. S. Dileep, Swapnil Hingmire, Sutanu Chakraborti:
Complexity Guided Noise Filtering in QA Repositories. FLAIRS 2017: 186-189 - [c46]Ditty Mathew, Sutanu Chakraborti:
Competence Guided Model for Casebase Maintenance. IJCAI 2017: 4904-4908 - [c45]Swapnil Hingmire, Sutanu Chakraborti, Girish Keshav Palshikar, Abhay Sodani:
WikiLDA: Towards More Effective Knowledge Acquisition in Topic Models using Wikipedia. K-CAP 2017: 37:1-37:4 - [c44]Shashank Shrivastava, Mitesh M. Khapra, Sutanu Chakraborti:
A Concept Driven Graph Based Approach for Estimating the Focus Time of a Document. MIKE 2017: 250-260 - [c43]Sahiti Labhishetty, Ayesha Siddiqa, Rajivteja Nagipogu, Sutanu Chakraborti:
WikiSeeAlso: Suggesting Tangentially Related Concepts (See also links) for Wikipedia Articles. MIKE 2017: 274-286 - 2016
- [c42]G. Devi, Charu Chauhan, Sutanu Chakraborti:
Conceptualizing Curse of Dimensionality with Parallel Coordinates. AAAI 2016: 4075- - [c41]K. V. S. Dileep, Sutanu Chakraborti:
Eager to be Lazy: Towards a Complexity-guided Textual Case-Based Reasoning System. ICCBR 2016: 77-92 - [c40]Anbarasu Sekar, Sutanu Chakraborti:
Learning a Region of User's Preference for Product Recommendation. ICCBR Workshops 2016: 212-221 - [c39]Ditty Mathew, Sutanu Chakraborti:
Competence Guided Casebase Maintenance for Compositional Adaptation Applications. ICCBR 2016: 265-280 - [c38]Ashika Sharma, Ankit Sharma, Dipti Deodhare, Sutanu Chakraborti, P. Sreenivasa Kumar, Partha P. Mitra:
Case Representation and Retrieval Techniques for Neuroanatomical Connectivity Extraction from PubMed. ICCBR 2016: 370-386 - 2015
- [j1]Eshwar Chandrasekharan, Sutanu Chakraborti:
Footprints on Silicon: Explorations in Gathering Autobiographical Content. Int. J. Comput. Linguistics Appl. 6(2): 29-42 (2015) - [c37]Ditty Mathew, Dhivya Eswaran, Sutanu Chakraborti:
Towards Creating Pedagogic Views from Encyclopedic Resources. BEA@NAACL-HLT 2015: 190-195 - [c36]Nitin Gupta, Sukhendu Das, Sutanu Chakraborti:
Extracting information from a query image, for content based image retrieval. ICAPR 2015: 1-6 - [c35]Shubhranshu Shekhar, Sutanu Chakraborti, Deepak Khemani:
Spreading Activation Way of Knowledge Integration. MIKE 2015: 1-11 - [c34]Abhijit Sahoo, Swapnil Hingmire, Sutanu Chakraborti:
Adapting PageRank to Position Events in Time. MIKE 2015: 536-542 - [c33]S. Chandra Mouli, Sutanu Chakraborti:
Making the Most of Preference Feedback by Modeling Feature Dependencies. RecSys 2015: 285-288 - 2014
- [c32]Swapnil Hingmire, Sutanu Chakraborti:
Sprinkling Topics for Weakly Supervised Text Classification. ACL (2) 2014: 55-60 - [c31]Pranay Kumar Venkata Sowdaboina, Sutanu Chakraborti, Somayajulu Sripada:
Learning to Summarize Time Series Data. CICLing (1) 2014: 515-528 - [c30]K. V. S. Dileep, Sutanu Chakraborti:
Estimating Case Base Complexity Using Fractal Dimension. ICCBR 2014: 230-244 - [c29]Shubhranshu Shekhar, Sutanu Chakraborti, Deepak Khemani:
Linking Cases Up: An Extension to the Case Retrieval Network. ICCBR 2014: 450-464 - [c28]Skanda Raj Vasudevan, Sutanu Chakraborti:
Enriching Case Descriptions Using Trails in Conversational Recommenders. ICCBR 2014: 480-494 - [c27]Nitin Gupta, Sukhendu Das, Sutanu Chakraborti:
Hierarchy of visual features for object recognition. ICIP 2014: 5901-5905 - [c26]Nitin Gupta, Sukhendu Das, Sutanu Chakraborti:
Revealing What to Extract from Where, for Object-Centric Content Based Image Retrieval (CBIR). ICVGIP 2014: 57:1-57:8 - [c25]Swapnil Hingmire, Sutanu Chakraborti:
Topic labeled text classification: a weakly supervised approach. SIGIR 2014: 385-394 - [c24]Skanda Raj Vasudevan, Sutanu Chakraborti:
Mining user trails in critiquing based recommenders. WWW (Companion Volume) 2014: 777-780 - 2013
- [c23]Sutanu Chakraborti, Ashish V. Tendulkar:
Parallels between Linguistics and Biology. BioNLP@ACL 2013: 120-123 - [c22]Bhautik Patel, Ashish V. Tendulkar, Sutanu Chakraborti:
Towards selective user specific query expansion. UEO@CIKM 2013: 21-24 - [c21]Saurabh Gupta, Sutanu Chakraborti:
Flexible and dynamic compromises for effective recommendations. CIKM 2013: 1909-1912 - [c20]Deepak P, Sutanu Chakraborti, Deepak Khemani:
Query Suggestions for Textual Problem Solution Repositories. ECIR 2013: 569-581 - [c19]Saurabh Gupta, Sutanu Chakraborti:
UtilSim: Iteratively Helping Users Discover Their Preferences. EC-Web 2013: 113-124 - [c18]Debarun Kar, Anand Kumar, Sutanu Chakraborti, Balaraman Ravindran:
iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer. ICCBR 2013: 203-217 - [c17]Swapnil Hingmire, Sandeep Chougule, Girish K. Palshikar, Sutanu Chakraborti:
Document classification by topic labeling. SIGIR 2013: 877-880 - 2012
- [c16]Bibekananda Kundu, Sutanu Chakraborti, Sanjay Kumar Choudhury:
Combining Confidence Score and Mal-rule Filters for Automatic Creation of Bangla Error Corpus: Grammar Checker Perspective. CICLing (2) 2012: 462-477 - [c15]Debarun Kar, Sutanu Chakraborti, Balaraman Ravindran:
Feature Weighting and Confidence Based Prediction for Case Based Reasoning Systems. ICCBR 2012: 211-225 - [c14]Deepak P, Sutanu Chakraborti:
Finding Relevant Tweets. WAIM 2012: 228-240 - 2011
- [c13]Deepak P, Sutanu Chakraborti, Deepak Khemani:
More or better: on trade-offs in compacting textual problem solution repositories. CIKM 2011: 2321-2324 - [c12]Anil Patelia, Sutanu Chakraborti, Nirmalie Wiratunga:
Selective Integration of Background Knowledge in TCBR Systems. ICCBR 2011: 196-210 - 2010
- [c11]Karthik Jayanthi, Sutanu Chakraborti, Stewart Massie:
Introspective Knowledge Revision in Textual Case-Based Reasoning. ICCBR 2010: 171-185
2000 – 2009
- 2009
- [c10]M. A. Raghunandan, Sutanu Chakraborti, Deepak Khemani:
Robust Measures of Complexity in TCBR. ICCBR 2009: 270-284 - 2008
- [c9]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 - [c8]M. A. Raghunandan, Nirmalie Wiratunga, Sutanu Chakraborti, Stewart Massie, Deepak Khemani:
Evaluation Measures for TCBR Systems. ECCBR 2008: 444-458 - 2007
- [b1]Sutanu Chakraborti:
Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. Robert Gordon University, Aberdeen, UK, 2007 - [c7]Sutanu Chakraborti, Nirmalie Wiratunga, Robert Lothian, Stuart N. K. Watt:
Acquiring Word Similarities with Higher Order Association Mining. ICCBR 2007: 61-76 - [c6]Sutanu Chakraborti, Rahman Mukras, Robert Lothian, Nirmalie Wiratunga, Stuart N. K. Watt, David J. Harper:
Supervised Latent Semantic Indexing Using Adaptive Sprinkling. IJCAI 2007: 1582-1587 - 2006
- [c5]Sutanu Chakraborti, Robert Lothian, Nirmalie Wiratunga, Stuart N. K. Watt:
Sprinkling: Supervised Latent Semantic Indexing. ECIR 2006: 510-514 - [c4]Sutanu Chakraborti, Robert Lothian, Nirmalie Wiratunga, Amandine Orecchioni, Stuart N. K. Watt:
Fast Case Retrieval Nets for Textual Data. ECCBR 2006: 400-414 - 2005
- [c3]Nirmalie Wiratunga, Robert Lothian, Sutanu Chakraborti, Ivan Koychev:
Textual Feature Construction from Keywords. ICCBR Workshops 2005: 110-119 - [c2]Nirmalie Wiratunga, Robert Lothian, Sutanu Chakraborti, Ivan Koychev:
A Propositional Approach to Textual Case Indexing. PKDD 2005: 380-391 - 2004
- [c1]Vivek Balaraman, Sutanu Chakraborti:
Satisfying Varying Retrieval Requirements in Case Based Intelligent Directory Assistance. FLAIRS 2004: 160-165
Coauthor Index
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