K. Darshana Abeyrathna

Computer Science · Physical Sciences

8h-index220citations35works0.72yr avg
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Research Topics

Optimization and Search Problems(16), Machine Learning and Algorithms(15), Metaheuristic Optimization Algorithms Research(6), Neural Networks and Applications(6), Energy Load and Power Forecasting(5)

Publications35 total

Increasing Confidence in AI Models by Explaining Uncertainty in Predictions
2025· 1 citedOpen Access
The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
arXiv (Cornell University)·2024Open Access
The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
2024· 1 cited
Modeling Prediction Uncertainty in Regression using the Regression Tsetlin Machine
2023· 3 cited
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
2023· 10 citedOpen Access
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
arXiv (Cornell University)·2023· 1 citedOpen Access
Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment
Lecture notes in computer science·2023· 2 cited
On the Convergence of Tsetlin Machines for the XOR Operator
IEEE Transactions on Pattern Analysis and Machine Intelligence·2022· 34 citedOpen Access
A <scp>multi‐step finite‐state</scp> automaton for arbitrarily deterministic Tsetlin Machine learning
Expert Systems·2021· 3 citedOpen Access
Hybrid Particle Swarm Optimization With Genetic Algorithm to Train Artificial Neural Networks for Short-Term Load Forecasting
IGI Global eBooks·2021
Adaptive Sparse Representation of Continuous Input for Tsetlin Machines Based on Stochastic Searching on the Line
Electronics·2021· 6 citedOpen Access
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Duo Research Archive (University of Oslo)·2021· 4 citedOpen Access
On the Convergence of Tsetlin Machines for the XOR Operator
arXiv (Cornell University)·2021Open Access
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability
IEEE Access·2021· 5 citedOpen Access
Public Transport Passenger Count Forecasting in Pandemic Scenarios Using Regression Tsetlin Machine. Case Study of Agder, Norway
Smart innovation, systems and technologies·2021· 2 cited
Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine
2020· 10 cited
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines
2020· 9 cited
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines
2020· 8 cited
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
arXiv (Cornell University)·2020· 21 citedOpen Access
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic\n Tsetlin Machine Learning
arXiv (Cornell University)·2020· 1 citedOpen Access
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Frequent Co-authors

Ole‐Christoffer Granmo(25), Morten Goodwin(18), Lei Jiao(7), Chawalit Jeenanunta(6), Andreas Hafver(5), Xuan Zhang(4), Bimal Bhattarai(4), Rupsa Saha(4), Rishad Shafik(3), Adrian Wheeldon(3), Alex Yakovlev(3), Jie Lei(3), Sara El Mekkaoui(3), Lei Jiao(3), Xuan Zhang(2), Saeed Rahimi Gorji(2), Rohan Kumar Yadav(2), Charul Giri(2), Sondre Glimsdal(2), Jivitesh Sharma(2)