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Research and Publications


Research Interest
  • Information Retrieval and Extraction
  • Web Mining
  • Complex network analysis, Social Computing
  • Machine Learning(Deep Learning) and Data Mining on Social Media Data
  • (Multi-Lingual) Natural Language Processing

Associated Lab
Open Source Intelligence Lab, Department of Computer Science and Engineering, founded in the year 2014 with the objective of conducting research on deriving actionable intelligence from freely available social media data, and developing various tools. Since the inception of the Lab, it has successfully executed several sponsored projects. The lab aims at becoming a leading research and development Lab in the area of social media data mining globally and become a nodal center for social media related research in north east India. The Lab is equipped with several high end CPU and GPU servers, including of Intel Xeon E5-2670 v3 @2.3 GHz x 2 24 Cores, 48 Threads, Intel Xeon E5530 @2.4 GHz x 2, 8 Cores, 16 Threads, Intel Xeon E5-2620 v4 @ 2.10GHz x 2, 16 Cores, 32 Threads, Intel Xeon E5-2620 v4 @ 2.10GHz x 2, 16 Cores, 32 Threads high end servers, 150 TB NAS storage, 16 GB GPU servers, Spark Clustering, Cassandra cluster etc.



Digital Library Indexes
  1. Google Scholar
  2. DBLP


Publications

  • Monika Singh, Sujit Kumar, Tanveen and Sanasam Ranbir Singh, (2024), Few Shot Prompting with Large Language Models for Numeral-Aware Headline Generation, The 18th International Workshop on Semantic Evaluation, (SemEval 2024), Mexico City, Mexico, June 16-21, 2024 (Accepted).
  • Sujit Kumar, Saurabh Kumar and Sanasam Ranbir Singh (2024), A Headline-Centric Graph-Based Dual Context Matching Approach for Incongruent News Detection, in IEEE Transactions on Computational Social Systems, (Accepted)
  • Saurabh Kumar, Ranbir Sanasam, and Sukumar Nandi. (2024). IndiSentiment140: Sentiment Analysis Dataset for Indian Languages with Emphasis on Low-Resource Languages using Machine Translation, The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Mexico City, Mexico, June 16-21, 2024 (Accepted)
  • Hemanta Barua, Sanasam Ranbir Singh, Priyankoo Sarmah (2024). AssameseBackTranslit: Dataset for Back Transliteration in Romanized Assamese Language Social Media Text, The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino (Italy) on 20-25 May, 2024 (Accepted)
  • Deepen Naorem, Sanasam Ranbir Singh, Priyankoo Sarmah, (2024), Improving Linear Orthogonal Mapping Based Cross-Lingual Representation Using Ridge Regression and Graph Centrality. Journal of Computer, Speech and Language. March 2024. https://doi.org/10.1016/j.csl.2024.101640
  • Loitongbam Gyanendro Singh, Sanasam Ranbir Singh, (2024). Sentiment Analysis of Tweets using Text and Graph Multi-views learning. Journal of Knowledge and Intelligence System, Jan 2024, https://doi.org/10.1007/s10115-023-02053-8
  • Hemanta Barua, Sanasam Ranbir Singh, Priyankoo Sarmah (2023). Transliteration Characteristics in Romanized Assamese Language Social Media Text and Machine Transliteration, ACM Transactions on Asian and Low-Resource Language Information Processing. https://doi.org/10.1145/3639565
  • Jennil Thiyam, Sanasam Ranbir Singh, Prabin Kumar Bora, Effect of attention and triplet loss on chart classification: a study on noisy charts and confusing chart pairs. J. Intell. Inf. Syst. 60(3): 731-758 (2023), https://doi.org/10.1007/s10844-022-00741-5
  • Jennil Thiyam, Sanasam Ranbir Singh, and Prabin Kumar Bora (2023). Chart Classification - A Survey and Benchmarking of Different State-of-the-Arts Methods, in International Journal on Document Analysis and Recognition (IJDAR). https://doi.org/10.1007/s10032-023-00443-w
  • Sujit Kumar, Durgesh Kumar and Sanasam Ranbir Singh (2023), Gated Recursive and Sequential Deep Hierarchical Encoding for Detecting Incongruent News Articles, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2023.3247445.
  • Saurabh Kumar, Ranbir Sanasam, and Sukumar Nandi. 2023. IndiSocialFT: Multilingual Word Representation for Indian languages in code-mixed environment. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 3866–3871, Singapore. Association for Computational Linguistics. https://aclanthology.org/2023.findings-emnlp.252/
  • Sujit Kumar, Rohan Jaiswal, Mohit Ram Sharma, SanasamRanbir Singh, 2023. Multiset Dual Summarization for Incongruent News Article Detection, International Conference on Natural Language Processing (ICON), Goa, India, 2023.
  • Telem Joyson Singh, Sanasam Ranbir Singh and Priyankoo Sarmah, 2023. "Can Big Models Help Diverse Languages? Investigating Large Pretrained Multilingual Models for Machine Translation of Indian Languages", International Conference on Natural Language Processing (ICON), Goa, India, 2023
  • Hemanta Baruah, Sanasam Ranbir Singh, and Priyankoo Sarmah, 2023. "Assamese Back Transliteration - An Emperical Study Over Canonical and Non-canonical Datasets", Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, Hong Kong, 2023. Hong Kong Polytechnic University
  • Telem Joyson Singh, Sanasam Ranbir Singh and Priyankoo Sarmah, 2023. "Subwords to Word Back Composition for Morphologically Rich Languages in Neural Machine Translation," 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37), Hong Kong, 2023. Hong Kong Polytechnic University
  • Ritesh Ratti, Sanasam Ranbir Singh and Sukumar Nandi, "Protocol Aware Unsupervised Network Intrusion Detection System", in ITCCN symposium of the 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2023), November 1-3, 2023.
  • Ritesh Ratti, Sanasam Ranbir Singh and Sukumar Nandi, "Network based Intrusion Detection using Time aware LSTM Autoencoder", in the 21st IEEE International Conference on Embedded and Ubiquitous Computing (IEEE EUC 2023), November 1-3, 2023.
  • Deepen Naorem, Okram Jimmy Singh, Sanasam Ranbir Singh, Priyankoo Sarmah, 2023. English-Manipuri Cross-lingual Embedding: A Preliminary Study, In Proceedings of the 2023 International Conference on Asian Language Processing, November 18-20, 2023.
  • Sujit Kumar, Aditya Sinha, Soumyadeep Jana, Rahul Mishra and Sanasam Ranbir Singh. Jackflood at SemEval-2023 Task 5: Hierarchical Encoding and Reciprocal Rank Fusion Based System for Spoiler Classification and Generation. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), (Co-located with ACL 2023) July 13-14 2023, Toronto, Canada.
  • Sujit Kumar, Mohan Kumar, Sanasam Ranbir Singh (ICMC 2023), Language Independent Fake News Detection Over Social Media Networks Using Centrality Aware Graph Convolution Network, In the Proceedings of the 9th International Conference on Mathematics and Computing, Jan 6-8 2023.
  • Jennil Thiyam, Sanasam Ranbir Singh, Prabin Kumar Bora (2022), Effect of Attention and Triplet loss on Chart Classification: A study on Noisy Charts and Confusing Chart Pairs, Journal of Intelligent Information Systems. Springer. Online available on 06-09-2022. ohttps://doi.org/10.1007/s10844-022-00741-5
  • Anindita Baruah, Sanasam Ranbir Singh (2022), Investigating Political Polarization in India through the Lens of Twitter. Social Network Analysis and Mining. Springer. 12(97) 2022. https://doi.org/10.1007/s13278-022-00939-z
  • Laitonjam, Lenin, Sanasam Ranbir Singh (2022). Cross-lingual Embeddings Using a Temporally Aligned Comparable Corpus: A Case Study for Manipuri-English. International Journal of Asian Language Processing. WorldScientific. 31(3-4) 2022. https://doi.org/10.1142/S2717554522500084
  • Durgesh Kumar, Loitongbam Gyanendro Singh, Sanasam Ranbir Singh (2022). Hashtag based semantic expansion of Tweets for improved Topic modeling. In IEEE Transaction on Computational Social System. doi: 10.1109/TCSS.2022.3171206.
  • Laitonjam, Lenin, Sanasam Ranbir Singh (2022). A Hybrid Machine Transliteration Model Based on Multi-source Encoder–Decoder Framework: English to Manipuri. Springer Nature Computer Science, 3, 125. doi:10.1007/s42979-021-01005-9
  • Laitonjam, Lenin, Sanasam Ranbir Singh. (2022) "Manipuri-English Comparable Corpus for Cross-lingual studies", Springer Language Resources and Evaluation, February 2022 (available online). doi:10.1007/s10579-021-09576-y
  • Bornali Phukon, Akash Anil, Sanasam Ranbir Singh, Priyankoo Sarmah (2022). Synonymy Expansion using Link Prediction Methods: A case study of Assamese WordNet, ACM Transactions on Asian and Low-Resource Language Information Processing. 21(1), 15:1-21. doi:10.1145/3467966
  • Sujit Kumar, Gaurav Kumar, Sanasam Ranbir Singh (AACL-IJCNLP 2022). Detecting Incongruent News Articles Using Multi-head Attention Dual Summarization. In the Proceedings of the The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing. No. 20-23, 2023. https://aclanthology.org/2022.aacl-main.70.pdf
  • Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, and Balaraman Ravindran (ICDM 2022), Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective, The 22nd IEEE International Conference on Data Mining. Nov. 28-Dec.1, 2022.
  • Sujit Kumar, Gaurav Kumar, Sanasam Ranbir Singh (CheckThat! 2022). Text_Minor at CheckThat! 2022: Fake News Article Detection Using RoBERT. In the Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum. Bologna, Italy, September 5th to 8th, 2022.
  • Bornali Phukon, Anasua Mitra, Sanasam Ranbir Singh, Priyankoo Sarmah, (NAACL 2022) TEAM: A multitask learning based Taxonomy Expansion approach for Attach and Merge, In the Proceeding of the North American Chapter of the Association for Computational Linguistics, July 10-15 2022.
  • Neelakshi Sarma, Sanasam Ranbir Singh, Diganta Goswami, (2021). SwitchNet: Learning to switch for word-level language identification in code-mixed social media text. Natural Language Engineering, 28(3) 337-359. doi:10.1017/S1351324921000115
  • Loitongbam Gyanendro Singh, Sanasam Ranbir Singh, (2021). Empirical Study of Sentiment Analysis Tolls and Technoques on Societal Topics, Springer Journal of Intelligent Information Syatem. 56(2): 379-407. doi:10.1007/s10844-020-00616-7
  • Jennil Thiyam, Ranbir Singh Sanasam, Prabin Bora, (ICVGIP 2021 ). Chart Classification: An Empirical Comparative Study of Different Learning Models, In the Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing, December 2021, Article No.: 32 Pages 1–9. doi: 10.1145/3490035.3490291
  • Jennil Thiyam, Ranbir Singh Sanasam, Prabin Bora, (DocEng 2021). Challenges in chart image classification: a comparative study of different deep learning methods. In the Proceedings of the 21st ACM Symposium on Document Engineering, August 2021 Article No.: 29 Pages 1-4. doi:10.1145/3469096.3474931
  • Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran,(KDD 2021), Semi-Supervised Deep Learning for Multiplex Networks, In the Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2021, Pages 1234–1244. doi: 10.1145/3447548.3467443
  • Laitonjam, Lenin, Sanasam Ranbir Singh, (LoResMT2021). Manipuri-English Machine Trans-lation using Comparable Corpus. In the Proceedings of 18th Biennial Machine Translation Summit (4th Workshop on Technologies for MT of Low Resource Languages), pp. 78-88. https://aclanthology.org/2021.mtsummit-loresmt.8.pdf
  • Lenin Laitonjam, Sanasam Ranbir Singh, (iALP 2021). Manipuri-English Cross-lingual Word Embeddings using a Temporally Aligned Comparable Corpus. In Proceedings of the 2021 2021 International Conference on Asian Language Processing, 2021, pp. 195-199, doi: 10.1109/IALP54817.2021.9675204.
  • Telem Joyson, Sanasam Ranbir Singh, (iALP 2021). English-Manipuri Machine Translation: An empirical study of different Supervised and Unsupervised Methods. In Proceedings of the 2021 International Conference on Asian Language Processing, 2021, pp. 142-147, doi: 10.1109/IALP54817.2021.9675167.
  • Ritesh Ratti, Sukumar Nandi, Sanasam Ranbir Singh, (ANTS 2021) Online Network Attack Detection using Statistical Features, 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems, Hyderabad, India, 2021, pp. 125-130, doi: 10.1109/ANTS52808.2021.9937015.
  • Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran: Semi-Supervised Deep Learning for Multiplex Networks. CoRR abs/2110.02038 (2021)
  • Akash Anil, Sanasam Ranbir Singh, (2020). Effect of class imbalance in heterogeneous network embedding: An empirical study, Journal of Informetrics, 14(2):101009. doi: 10.1016/j.joi.2020.101009.
  • Loitongbam Gyanendro Singh, Akash Anil, Sanasam Ranbir Singh, (2020). "SHE: Sentiment Hashtag Embedding Through Multitask learning", IEEE Transactions on Computational Social Systems, 7(2):417-424. doi:10.1109/TCSS.2019.2962718.
  • Debashis Naskar, Sanasam Ranbir Singh, Durgesh Kumar, Sukumar Nandi, Eva Onaindia De La Rivaherrera, (2020). "Emotion Dynamics of Public Opinions on Twitter", ACM Transaction on Information System, 38(2), 18:1-24. doi:10.1145/3379340
  • Loitongbam Gyanendro Singh, Anasua Mitra, Sanasam Ranbir Singh, (EMNLP 2020). Sentiment Analysis of Tweets using Heterogeneous Multi-layer Network Representation and Embedding, In the Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, pages 8932-8946. https://aclanthology.org/2020.emnlp-main.718.pdf
  • Debashis Naskar, Eva Onaindia, Miguel Rebollo, Sanasam Ranbir Singh, (MoMM 2020). Predicting emotion dynamics sequence on Twitter via deep learning approach. In the Proceedings of the 18th International Conference on Advances in Mobile Computing & Multimedia. November 2020. Pages 20-24. Doi:10.1145/3428690.3429156
  • Ritesh Ratti, Sanasam Ranbir Singh, Sukumar Nandi, (ICCCNT 2020). Towards implementing fast and scalable network intrusion detection system using entropy based discretization technique, In the proceeding of the 11th International Conference on Computing, Communication and Networking Technologies, pp. 1-7, doi: 10.1109/ICCCNT49239.2020.9225476
  • Neelakshi Sarma, Sanasam Ranbir Singh, Diganta Goswami, (2019). Influence of social conversational features on language identification in highly multilingual online conversations. Elsevier Information Processing & Management. 56(1):151-166. doi:10.1016/j.ipm.2018.09.009
  • Neelakshi Sarma, Sanasam Ranbir Singh, Diganta Goswami,(2019). Identifying Languages in Assamese-Bengali-Hindi-English codemixed Social Media Text, COLIPS International Journal of Asian Language Processing, 29(1):35-48.
  • Akash Anil, Uppindar Chugh, Sanasam Ranbir Singh, (PReMI 2019). On Applying Meta-path for Network Embedding in Mining Heterogeneous DBLP Network, 8th International Conference on Pattern Recognition and Machine Intelligence. Pages 249–257. doi: 10.1007/978-3-030-34872-4_28
  • Akash Anil, Shubham Singhal, Piyush Jain, Sanasam Ranbir Singh, Ajay Ladhar, Sandeep Singh, Uppinder Chugh, (CoDS-COMAD 2019). Network sampling using k-hop random walks for heterogeneous network embedding Proceedings of the ACM India Joint International Conference on Data Science and Management of Data. January 2019 Pages 354–357. Doi: 10.1145/3297001.3297060
  • Durgesh Kumar, Sanasam Ranbir Singh, (PReMI 2019). Prioritized Named Entity driven LDA for document clustering, 8th International Conference on Pattern Recognition and Machine Intelligence, Pages 294–301. Doi:10.1007/978-3-030-34872-4_33
  • Rajlakshmi Saikia, Sanasam Ranbir Singh, Priyankoo Sarmah (2018) Effectiveness of Using Language Independent Transcribers for Spoken Language Identification for Different Indian Languages, COLIPS International Journal of Asian Language Processing 28(2): 95-106, 2018.
  • Akash Anil, Sanasam Ranbir Singh, Ranjan Sarmah, (2018). Mining heterogeneous terrorist attack network using personalized PageRank. Web Intelligence 16(1): 37-52 (2018). doi: 10.3233/WEB-180372
  • Niladri Sett, Saptarshi Basu, Sukumar Nandi, Sanasam Ranbir Singh, (2018). Temporal link prediction in multi-relational network. World Wide Web 21(2): 395-419. Doi: 10.1007/s11280-017-0463-z
  • Niladri Sett, Devesh, Sanasam Ranbir Singh, Sukumar Nandi, Exploiting reciprocity toward link prediction, (2018). Springer Knowledge and Information System, Vol. 55(1):.1-13, 2018. Doi: 10.1007/s10115-017-1066-9
  • Lenin Laitonjam, Loitongbam Gyanendro Singh, Sanasam Ranbir Singh, (IALP 2018). Transliteration of English Loanwords and Named-Entities to Manipuri: Phoneme vs Grapheme Representation. In Proceedings of the 2018 International Conference on Asian Language Processing, pp. 255-260, doi: 10.1109/IALP.2018.8629141.
  • Neelakshi Sarma, Sanasam Ranbir Singh, Diganta Goswami, (IALP 2018). Word Level Language Identification in Assamese-Bengali-Hindi-English Code-Mixed Social Media Text. In Proceedings of the 2018 International Conference on Asian Language Processing, pp. 261-266, doi: 10.1109/IALP.2018.8629104.
  • Loitongbam Gyanendro Singh, Nagaraj Adiga, Bidisha Sharma, Sanasam Ranbir Singh, S R M Prasanna, (TENCON 2017). Automatic Pause Marking for Speech Synthesis. In Proceedings of the 2017 IEEE Region 10 Conference, 2017, pp. 1790-1794, doi: 10.1109/TENCON.2017.8228148.
  • Loitongbam Gyanendro Singh, Sanasam Ranbir Singh, (IALP 2017). Word Polarity Detection using Syllable Features for Manipuri Language. In the proceeding of the 2017 International Conference on Asian Language Processing (IALP), 2017, pp. 206-209, doi: 10.1109/IALP.2017.8300580.
  • Rajlakshmi Saikia, Sanasam Ranbir Singh, Priyankoo Sarmah, (IALP 2017). Effect of Language Independent Transcribers on Spoken Language Identification for Different Indian Languages. In the proceeding of the 2017 International Conference on Asian Language Processing, pp. 214-217, doi: 10.1109/IALP.2017.8300582.
  • Niladri Sett, Sanasam Ranbir Singh, Sukumar Nandi, (2016). Influence of edge weight on node proximity based link prediction methods: An empirical analysis. Elsevier Neurocomputing 172(C):71-83 (2016). doi:10.1016/j.neucom.2014.11.089
  • Akash Anil, S. Ranbir Singh, Ranjan Sarmah, (WI 2016). Personalised PageRank as a Method of Exploiting Heterogeneous Network for Counter Terrorism and Homeland Security. In the proceeding of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2016, pp. 327-334, doi: 10.1109/WI.2016.0053.
  • Rajlakshmi Saikia, Sanasam Ranbir Singh, (IALP 2016). Generating Manipuri English Pronunciation Dictionary Using Sequence Labelling Problem. In the proceeding of the 2016 International Conference on Asian Language Processing (IALP), 2016, pp. 67-70, doi: 10.1109/IALP.2016.7875936.
  • Loitongbam Gyanendro Singh, Lenin Laitonjam, Sanasam Ranbir Singh, (COLING 2016). Automatic Syllabification for Manipuri language. In the proceeding of the 26th International Conference on Computational Linguistics: Technical Papers , pages 349–357. https://aclanthology.org/C16-1034.pdf
  • Niladri Sett, Subhrendu Chattopadhyay, Sanasam Ranbir Singh, Sukumar Nandi, (WI 2016). A time agnostic method for predicting dull nodes and links in evolving networks for data cleaning. In the proceeding of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016, Pages: 394-310. 10.1109/WI.2016.005
  • Akash Anil, Uppinder Chugh, Sanasam Ranbir Singh: On Applying Meta-path for Network embedding in Mining Heterogeneous DBLP Network. CoRR abs/1808.04799 (2018)
  • Akash Anil, Ajay Ladhar, Sandeep Singh, Uppinder Chugh, Sanasam Ranbir Singh: Network Sampling Using K-hop Random Walks for Heterogeneous Network embedding. CoRR abs/1808.04657
  • Akash Anil, Durgesh Kumar, Shubhanshu Sharma, Rakesh Singha, Ranjan Sarmah, Nitesh Bhattacharya, Sanasam Ranbir Singh, Link Prediction using Social Network Analysis over Heterogeneous Terrorist Network. 8th Proceeding of IEEE SocialCom-2015.
  • Akash Anil, Niladri Sett, Sanasam Ranbir Singh, Modeling evolution of a social network using temporalgraph kernels. SIGIR 2014. 1051-1054.
  • Deepak Mangal, Niladri Sett, Sanasam Ranbir Singh, Sukumar Nandi, Link prediction on evolving social network using spectral analysis. IEEE ANTS 2013. 1-6.
  • Pranaw Kumar, Gandhi Annamalai, T. Sajini, Anand Konjengbam, M. Praveen, G. R. Kasthuri, Anil Prabhakar, Shuo Qiao, Sushanta K. Pani, Vishal Maral, S. L. Binil Kumar, Arun Gopi, E. A. Neethu, Bira Chandra Singh, Sanasam Ranbir Singh, Hema A. Murthy:Seamless integration of common framework Indian language TTSes in various applications. O-COCOSDA/CASLRE 2013: 1-6
  • Hemant A. Patil, Tanvina B. Patel, Nirmesh J. Shah, Hardik B. Sailor, Raghava Krishnan, G. R. Kasthuri, T. Nagarajan, S. Lilly Christina, Naresh Kumar, Veera Raghavendra, S. P. Kishore, S. R. Mahadeva Prasanna, Nagaraj Adiga, Sanasam Ranbir Singh, Anand Konjengbam, Pranaw Kumar, Bira Chandra Singh, S. L. Binil Kumar, T. G. Bhadran, T. Sajini, Arup Saha, Tulika Basu, K. Sreenivasa Rao, N. P. Narendra, Anil Kumar Sao, Rakesh Kumar, Pranhari Talukdar, Purnendu Acharyaa, Somnath Chandra, Swaran Lata, Hema A. Murthy:A syllable-based framework for unit selection synthesis in 13 Indian languages. O-COCOSDA/CASLRE 2013: 1-8
  • Ranbir Sanasam, Hema Murthy and Timothy Gonsalves, Inference Based Query Expansion Using Real Time Implicit Feedback. Chapter in Communications in Computer and Information Science. 272:158-172 · January 2013.
  • Sankara Rao and Ranbir Sanasam, Proxy: Integrating Client-Side Information and Query, Proc. of the Eighth International Workshop on Information Integration on the Web. IIWeb2011, Hyderabad, India. 28th March, 2011.
  • Ranbir Sanasam, Hema Murthy and Timothy Gonsalves, Dynamic Query Expansion Based on User's Real Time Implicit Feedback. Proc. of the International Conference on Knowledge Discovery and Information Retrieval, KDIR2010, Valencia, Spain. 26-29 October, 2010.
  • Ranbir Sanasam, Hema Murthy and Timothy Gonsalves, Feature Selection for Text Classification Based on Gini Coefficient of Inequality. Proc. of JMLR Fourth International Workshop on Feature Selection in Data Mining, FSDM2010, Hyderabad, India. 21-24 June, 2010.
  • Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. Gonsalves, Determining User's Interest in Real Time. Proc WWW2008. April 21-25, Beijing, China.
  • Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. Gonsalves, Effect of Word Density on Measuring Words Association. Proc ACM Compute 2008. Jan 18-20, Bangalore, India.
  • Sanasam Ranbir Singh, Estimating the Rate of Web Page Updates. Proceeding of IJCAI-2007. Hyderabad, Jan. 6-12, 2007.
  • Gourakishwar Ningthoujam, Ranbir Sanasam, Anjana Mahanta and Bhanu Prasad, An Algorithm for Discovering Frequent Closed Itemsets in a Large Dataset. Journal of Experimental and Theoretical Artificial Intelligence. Volume 18, Issue 4, 2006, Pages 481 – 499.
  • Gourakishwar Ningthoujam, Ranbir Sanasam and Anjana Mahanta, CloseMiner: A new algorithm for discovering frequent close itemsets. IICAI 2005. Pune, December 20-22 2005.
  • Gourakishwar Ningthoujam, Ranbir Sanasam and Anjana Mahanta, CloseMiner: Discovering frequent closed itemsets using frequent closed Tidsets. IEEE ICDM 2005. Houston, Texas, USA 27 - 30 November 2005 (Short Paper).
  • Debajyoti Mukhopadhyay and Sanasam Ranbir Singh, An algorithm for automatic web page clustering. IEEE INDICON 2004. Indian Institute of Technology Kharagpur, Dec. 20-22, 2004.
  • Ranbir Sanasam, Bidyut Kr. Patra and Debasis Giri, Mining frequent closed itemsets using conditional frequent pattern tree. IEEE INDICON 2004. Indian Institute of Technology Kharagpur, Dec. 20-22, 2004.
  • Debajyoti Mukhopadhyay, Debasis Giri and Sanasam Ranbir Singh, An approach to confidence based page ranking for user oriented Web search. ACM SIGMOD. Vol. 32 (2) June 2003.
  • Debajyoti Mukhopadhyay, Debasis Giri and Sanasam Ranbir Singh, User oriented Web page ranking mechanism. ITPC. Katmandu May 23-26 2003.
  • Anitha Nalluri, Bala Saraswathi A, Bharathi S, Hema A Murthy, Patricia J., Ranbir Singh S., Timothy A Gonsalves, Vidhya M.S., and Vivekanathan K., Indian Language Support for X-Window System. Proc. ICON-02. pp. 263-272, Mumbai, India.