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Office:
A03207 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
09:00-16:00

Rupsa is currently a Ph.D. scholar in the field of Chatbots. She continues from Tata Consulting Services Research and Innovation Labs. She has a Masters in Machine Intelligence from Dhirubhai Ambani Institute of Information and Communication Technology.  She hails from Kolkata, India and loves travelling, books and reddit.

Research interests

Natural Language Processing

Applied Artificial Intelligence

Knowledge-based Systems

Work experience

~3 years as a Researcher (NLP) at Tata Innovation Labs, TCS, India

Scientific publications

  • Glimsdal, Sondre; Saha, Rupsa; Bhattarai, Bimal; Giri, Charul; Sharma, Jivitesh; Tunheim, Svein Anders; Yadav, Rohan Kumar (2022). Focused Negative Sampling for Increased Discriminative Power in Tsetlin Machines. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 73 - 80.
  • Saha, Rupsa; Jyhne, Sander (2022). Interpretable Text Classification in Legal Contract Documents using Tsetlin Machines. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 7 - 12.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Zadorozhny, Vladimir; Goodwin, Morten (2021). A relational Tsetlin Machine with applications to natural language understanding. Journal of Intelligent Information Systems. ISSN: 0925-9902. doi:10.1007/s10844-021-00682-5.
  • Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (2021). Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. Proceedings of Machine Learning Research (PMLR). ISSN: 2640-3498.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert systems. ISSN: 0266-4720. doi:10.1111/exsy.12873.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI 2020: Artificial Intelligence XXXVII. ISBN: 9783030637989. Springer.
  • Holen, Martin; Saha, Rupsa; Goodwin, Morten; Omlin, Christian Walter Peter; Sandsmark, Knut Eivind (2020). Road Detection for Reinforcement Learning Based Autonomous Car. ICISS 2020: Proceedings of the 2020 The 3rd International Conference on Information Science and System. ISBN: 978-1-4503-7725-6. ACM Publications. Chapter. s 67 - 71.

Last changed: 16.08.2019 15:08