Rupsa Saha

According to our database, Rupsa Saha authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Using Tsetlin Machine to discover interpretable rules in natural language processing applications.

Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin

Expert Syst. J. Knowl. Eng., May, 2023

Efficient Data Fusion using the Tsetlin Machine.

Rupsa Saha, Vladimir I. Zadorozhny, Ole-Christoffer Granmo

CoRR, 2023

A Logic-Based Explainable Framework for Relation Classification of Human Rights Violations.

Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Vladimir Zadorozhny, Jiawei Xu

Proceedings of the 21st International Workshop on Non-Monotonic Reasoning co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023) and co-located with the 36th International Workshop on Description Logics (DL 2023), 2023

Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size.

Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

A relational tsetlin machine with applications to natural language understanding.

Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin

J. Intell. Inf. Syst., 2022

2021

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling.

Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines.

Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin

Proceedings of the Artificial Intelligence XXXVII, 2020

Road Detection for Reinforcement Learning Based Autonomous Car.

Martin Holen, Rupsa Saha, Morten Goodwin, Christian W. Omlin, Knut Eivind Sandsmark

Proceedings of the ICISS 2020: The 3rd International Conference on Information Science and System, 2020

A System for Analysis, Visualization and Retrieval of Crime Documents.

Rupsa Saha, Abir Naskar, Tirthankar Dasgupta, Lipika Dey

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019

Ontology Guided Purposive News Retrieval and Presentation.

Lipika Dey, Rupsa Saha, Tirthankar Dasgupta, Abir Naskar

Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, 2019

2018

Extraction and Visualization of Occupational Health and Safety Related Information from Open Web.

Tirthankar Dasgupta, Abir Naskar, Rupsa Saha, Lipika Dey

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Leveraging Web Based Evidence Gathering for Drug Information Identification from Tweets.

Rupsa Saha, Abir Naskar, Tirthankar Dasgupta, Lipika Dey

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

Automatic Extraction of Causal Relations from Text using Linguistically Informed Deep Neural Networks.

Tirthankar Dasgupta, Rupsa Saha, Lipika Dey, Abir Naskar

Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018

Automatic Curation and Visualization of Crime Related Information from Incrementally Crawled Multi-source News Reports.

Tirthankar Dasgupta, Lipika Dey, Rupsa Saha, Abir Naskar

Proceedings of the COLING 2018, 2018

Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring.

Tirthankar Dasgupta, Abir Naskar, Lipika Dey, Rupsa Saha

Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, 2018

2017

CrimeProfiler: crime information extraction and visualization from news media.

Tirthankar Dasgupta, Abir Naskar, Rupsa Saha, Lipika Dey

Proceedings of the International Conference on Web Intelligence, 2017

Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets.

Hardik Meisheri, Rupsa Saha, Priyanka Sinha, Lipika Dey

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

DemandMiner: Extraction and Visualization of Product Demands from Open Web.

Tirthankar Dasgupta, Lipika Dey, Abir Naskar, Rupsa Saha, Ishan Verma, Ramakrishnan S. Srinivasan

Proceedings of the 13th International Conference on Semantic Systems, 2017

2016

Brain Tumor Segmentation from Multimodal MR Images Using Rough Sets.

Rupsa Saha, Ashish Phophalia, Suman K. Mitra

Proceedings of the Computer Vision, Graphics, and Image Processing, 2016

A Framework for Mining Enterprise Risk and Risk Factors from News Documents.

Tirthankar Dasgupta, Lipika Dey, Prasenjit Dey, Rupsa Saha

Proceedings of the COLING 2016, 2016