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List of Publications A. Publications as part of my PhD work (2004 – 2007) International Conferences/Workshops 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. Chakraborti, S., Mukras, R., Lothian, R., Wiratunga, N., Watt, S., & Harper, D. (2007). Supervised Latent Semantic Indexing using Adaptive Sprinkling. Proc. of the Twentieth IJCAI Conference , (pp. 1582-7), AAAI Press Chakraborti, S., Wiratunga, N., Lothian, R., & Watt, S. (2007). Acquiring Word Similarities with Higher Order Association Mining. Proc. of the 7th International CBR Conference (ICCBR'07). (pp. 61-76), Springer. Chakraborti, S., Lothian, R., Wiratunga, N., Orecchioni, A., & Watt, S. (2006). Fast Case Retrieval Nets for Textual Data. Proc. of the 8th European Conference on Case-Based Reasoning (ECCBR-06) (pp. 400-414), Springer. Chakraborti, S., Lothian, R., Wiratunga, N., & Watt, S. (2006). Sprinkling: Supervised Latent Semantic Indexing. Procs. of 28th European Conf. on Information Retrieval , (pp. 510-515), Springer. Chakraborti, S., Beresi, U., Wiratunga, N., Massie, S., Lothian, R., & Watt, S. (2007). A Simple Approach towards Visualizing and Evaluating Complexity of Textual Case Bases. In Proc. of the fourth workshop on Textual Case Based Reasoning (ICCBR 07). Wiratunga, N., Lothian, R., Chakraborti, S., & Koychev, I. (2005). A Propositional Approach to Textual Case Indexing. Proc. of The PKDD Conference, (pp. 380-391), Springer. Chakraborti, S., Wiratunga, N., Lothian, R., & Watt, S. (2005). Fast Case Retrieval Nets for Textual CBR. Procs. of the 10th UK CBR Workshop. Cambridge. Chakraborti, S., Watt, S., & Wiratunga, N. (2004). Introspective Knowledge Acquisition in Case Retrieval Networks for Textual CBR. Proc. of the 9th UK CBR Workshop, (pp. 5161). Cambridge. Wiratunga, N., Lothian, R., Chakraborti, S., & Koychev, I. (2005). Textual feature construction from keywords. Weber, R and Branting, LK (eds) Proceedings of the Textual Case-Based Reasoning Workshop (ICCBR), (pp. 110-119). Chicago. Mukras, R., Wiratunga, N., Lothian, R., Chakraborti, S., & Harper, D. (2007). Information Gain Feature Selection for Ordinal Text Classification using Probability Re-distribution. Proc. of IJCAI Textlink Workshop. Orecchioni, A., Wiratunga, N., Massie, S., Chakraborti, S., & Mukras, R. (2007). Learning Incident Causes. Proc. of the TCBR Workshop 2007 (ICCBR) (pp. 247--251), Belfast. International Journals An updated version of publication 8 has appeared in the journal Expert Update (British Computer Society). An updated version of publication 7 is also slated to appear in a forthcoming issue of the same journal. B. Publications after completion of PhD 1. Chakraborti, S., Beresi, U.C., Wiratunga, N., Massie, S., Lothian, R. & Khemani, D. (2008) Visualizing and Evaluating Complexity of Textual Case Bases, Accepted for publication at the Proc. of the 9th European Conference on Case Based Reasoning 2008, Lecture Notes in Artificial Intelligence, Springer. 2. Raghunandan, M.A., Wiratunga, N., Chakraborti, S., Massie, S., Khemani, D. (2008) Local and Global Alignment Measures for TCBR System Evaluation, Accepted for publication at 3. 4. 5. 6. the Proc. of the 9th European Conference on Case Based Reasoning 2008, Lecture Notes in Artificial Intelligence, Springer. Chakraborti, S., Memory Based Reasoning: A Dynamical Systems Perspective (2009) Proceedings of the Workshop on Uncertainty, Knowledge Discovery and Similarity in CBR, Seattle M.A. Raghunandan, S. Chakraborti, and D. Khemani, Robust Measures of Complexity in TCBR, Proceedings of the 8th International Conference on Case-based Reasoning, 2009 Vasanth K., R., Chakraborti, S., and Massie, S., Modelling Documents as Cases: A CBR Perspective to IR (2009), accepted for the 14th UKCBR Workshop Cambridge Karthik Jayanthi, Sutanu Chakraborti and Stewart Massie ”Introspective Knowledge Revision in Case-Based Reasoning”, Accepted in International Conference on Case-Based Reasoning, ICCBR-2010, Italy. C. Earlier Publications International Conferences/Workshops 1. Balaraman, V., Chakraborti, S. (2004). Satisfying varying Retrieval Requirements in Case-based Intelligent Directory Assistance, Proc. of FLAIRS, 2004, AAAI Press. 2. Chakraborti, S., Ambati, S., Balaraman, V. & Khemani, D. (2003) Integrating Knowledge Sources and Acquiring Vocabulary for Textual CBR. Proc. of the 8th UK Workshop on CBR, (pp. 74-84) Cambridge. 3. Balaraman, V. and Chakraborti, S. (2000) Using CBR Inexact Search for Intelligent Retrieval of Data, Knowledge-Based Computer Systems, Allied Publishers 4. Sadiq Md. A. K., Chakraborti, S. & Khemani, D. (2001) CBR in the Medical Domain: Homoeopathy, Proc of International Conference on Artificial Intelligence (pp. 12471253), Las Vegas, USA,. 5. Sadiq Md. A. K., Chakraborti, S., & Khemani, D., (2001) Homoeopathic Remedy Selection using CBR, In Artificial Intelligence: Future Trends (Proceedings of ISAI 2001), (pp. 99-107). International Journals Updated version of papers 1 and 2 have been accepted for journal publication in the International Journal of Artificial Intelligence Tools and Expert Update (British Computer Society) respectively. D. Theses Chakraborti, S. (2007). Introspective Knowledge Acquisition in Case Retrieval Networks for Textual Case-Based Reasoning , PhD Thesis, The Robert Gordon University Chakraborti, S. (2004). Integration of Knowledge Sources in Textual Case-Based Reasoning, M.S. (Research) Thesis, Indian Institute of Technology, Madras.