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2020 – today
- 2024
[i5]Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke, Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen:
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines. CoRR abs/2406.02648 (2024)- 2023
- [j2]Rupsa Saha
, Ole-Christoffer Granmo, Morten Goodwin:
Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [c17]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:
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. IJCAI 2023: 3395-3403 - [c16]Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Vladimir Zadorozhny, Jiawei Xu:
A Logic-Based Explainable Framework for Relation Classification of Human Rights Violations. NMR 2023: 14-21 - [i4]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:
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. CoRR abs/2301.08190 (2023) - [i3]Rupsa Saha, Vladimir I. Zadorozhny, Ole-Christoffer Granmo:
Efficient Data Fusion using the Tsetlin Machine. CoRR abs/2310.17207 (2023) - 2022
- [j1]Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin:
A relational tsetlin machine with applications to natural language understanding. J. Intell. Inf. Syst. 59(1): 121-148 (2022) - 2021
- [c15]Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav:
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. ICML 2021: 10-20 - [i2]Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin:
A Relational Tsetlin Machine with Applications to Natural Language Understanding. CoRR abs/2102.10952 (2021) - 2020
- [c14]Rupsa Saha, Abir Naskar, Tirthankar Dasgupta, Lipika Dey:
A System for Analysis, Visualization and Retrieval of Crime Documents. COMAD/CODS 2020: 317-321 - [c13]Martin Holen, Rupsa Saha, Morten Goodwin, Christian W. Omlin, Knut Eivind Sandsmark:
Road Detection for Reinforcement Learning Based Autonomous Car. ICISS 2020: 67-71 - [c12]Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin:
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI Conf. 2020: 67-78 - [i1]Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav:
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. CoRR abs/2009.04861 (2020)
2010 – 2019
- 2019
- [c11]Lipika Dey, Rupsa Saha, Tirthankar Dasgupta, Abir Naskar:
Ontology Guided Purposive News Retrieval and Presentation. NewsIR@SIGIR 2019: 45-50 - 2018
- [c10]Tirthankar Dasgupta, Abir Naskar, Lipika Dey, Rupsa Saha:
Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring. NLP-TEA@ACL 2018: 93-102 - [c9]Tirthankar Dasgupta, Lipika Dey, Rupsa Saha, Abir Naskar:
Automatic Curation and Visualization of Crime Related Information from Incrementally Crawled Multi-source News Reports. COLING (Demos) 2018: 103-107 - [c8]Tirthankar Dasgupta, Rupsa Saha, Lipika Dey, Abir Naskar:
Automatic Extraction of Causal Relations from Text using Linguistically Informed Deep Neural Networks. SIGDIAL Conference 2018: 306-316 - [c7]Rupsa Saha, Abir Naskar, Tirthankar Dasgupta, Lipika Dey:
Leveraging Web Based Evidence Gathering for Drug Information Identification from Tweets. SMM4H@EMNLP 2018: 67-69 - [c6]Tirthankar Dasgupta, Abir Naskar, Rupsa Saha, Lipika Dey:
Extraction and Visualization of Occupational Health and Safety Related Information from Open Web. WI 2018: 434-439 - 2017
- [c5]Tirthankar Dasgupta, Lipika Dey, Abir Naskar, Rupsa Saha, Ishan Verma, Ramakrishnan S. Srinivasan:
DemandMiner: Extraction and Visualization of Product Demands from Open Web. SEMANTiCS 2017: 136-143 - [c4]Hardik Meisheri, Rupsa Saha, Priyanka Sinha, Lipika Dey:
Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets. WASSA@EMNLP 2017: 193-199 - [c3]Tirthankar Dasgupta, Abir Naskar, Rupsa Saha, Lipika Dey:
CrimeProfiler: crime information extraction and visualization from news media. WI 2017: 541-549 - 2016
- [c2]Tirthankar Dasgupta, Lipika Dey, Prasenjit Dey, Rupsa Saha:
A Framework for Mining Enterprise Risk and Risk Factors from News Documents. COLING (Demos) 2016: 180-184 - [c1]Rupsa Saha, Ashish Phophalia, Suman K. Mitra:
Brain Tumor Segmentation from Multimodal MR Images Using Rough Sets. ICVGIP Workshops 2016: 133-144
Coauthor Index
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