Kuruge Darshana Abeyrathna

Orcid: 0000-0003-4816-2597

Affiliations:
  • University of Agder, Grimstad, Norway


According to our database1, Kuruge Darshana Abeyrathna authored at least 19 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
On the Convergence of Tsetlin Machines for the XOR Operator.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning.
Expert Syst. J. Knowl. Eng., May, 2023

Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment.
Proceedings of the Rules and Reasoning - 7th International Joint Conference, 2023

Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability.
IEEE Access, 2021

Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression.
Proceedings of the ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23, 2021

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

2020
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation.
CoRR, 2020

Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning.
Proceedings of the Artificial Intelligence XXXVII, 2020

Integer Weighted Regression Tsetlin Machines.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019
Hybrid Particle Swarm Optimization With Genetic Algorithm to Train Artificial Neural Networks for Short-Term Load Forecasting.
Int. J. Swarm Intell. Res., 2019

Escape Local Minima with Improved Particle Swarm Optimization Algorithm.
Proceedings of the 32nd Norsk Informatikkonferanse, 2019

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks.
Proceedings of the 31st Norsk Informatikkonferanse, 2018

A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018


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