Rupsa Saha

Orcid: 0000-0002-3006-5249

According to our database1, Rupsa Saha authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines.
CoRR, 2024

2023
Using Tsetlin Machine to discover interpretable rules in natural language processing applications.
Expert Syst. J. Knowl. Eng., May, 2023

Efficient Data Fusion using the Tsetlin Machine.
CoRR, 2023

A Logic-Based Explainable Framework for Relation Classification of Human Rights Violations.
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.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
A relational tsetlin machine with applications to natural language understanding.
J. Intell. Inf. Syst., 2022

2021
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines.
Proceedings of the Artificial Intelligence XXXVII, 2020

Road Detection for Reinforcement Learning Based Autonomous Car.
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.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Ontology Guided Purposive News Retrieval and Presentation.
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.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Leveraging Web Based Evidence Gathering for Drug Information Identification from Tweets.
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.
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.
Proceedings of the COLING 2018, 2018

Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring.
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, 2018

2017
CrimeProfiler: crime information extraction and visualization from news media.
Proceedings of the International Conference on Web Intelligence, 2017

Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

DemandMiner: Extraction and Visualization of Product Demands from Open Web.
Proceedings of the 13th International Conference on Semantic Systems, 2017

2016
Brain Tumor Segmentation from Multimodal MR Images Using Rough Sets.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016

A Framework for Mining Enterprise Risk and Risk Factors from News Documents.
Proceedings of the COLING 2016, 2016


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