Bimal Bhattarai

Orcid: 0000-0002-7339-3621

According to our database1, Bimal Bhattarai authored at least 15 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Tsetlin Machine Embedding: Representing Words Using Logical Expressions.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Contracting Tsetlin Machine with Absorbing Automata.
CoRR, 2023

Verifying Properties of Tsetlin Machines.
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

An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application.
Proceedings of the Advances in Information Retrieval, 2023

2022
Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning.
Dataset, May, 2022

Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines.
Appl. Intell., 2022

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

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

Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

A Tsetlin Machine Framework for Universal Outlier and Novelty Detection.
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021

2019
Trusted K Nearest Bayesian Estimation for Indoor Positioning System.
IEEE Access, 2019

Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning.
IEEE Access, 2019


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