A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (ICTAI, 2018)

Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (NIK, 2018)

The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Lei Jiao 001; Morten Goodwin (EPIA (2), 2019)

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Xuan Zhang 007; Morten Goodwin (IEA/AIE, 2019)

Escape Local Minima with Improved Particle Swarm Optimization Algorithm. - Kuruge Darshana Abeyrathna; Chawalit Jeenanunta (NIK, 2019)

Hybrid Particle Swarm Optimization With Genetic Algorithm to Train Artificial Neural Networks for Short-Term Load Forecasting. - Kuruge Darshana Abeyrathna; Chawalit Jeenanunta (Int. J. Swarm Intell. Res., 2019)

Integer Weighted Regression Tsetlin Machines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (IEA/AIE, 2020)

A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Rishad A. Shafik; Alex Yakovlev; Adrian Wheeldon; Jie Lei; Morten Goodwin (SGAI Conf., 2020)

On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (SSCI, 2020)

Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Xuan Zhang 007; Morten Goodwin (SSCI, 2020)

Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine. - Kuruge Darshana Abeyrathna; Harsha S. Gardiyawasam Pussewalage; Sasanka N. Ranasinghe; Vladimir A. Oleshchuk; Ole-Christoffer Granmo (SSCI, 2020)

A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (CoRR, 2020)

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. - Kuruge Darshana Abeyrathna; Bimal Bhattarai; Morten Goodwin; Saeed Rahimi Gorji; Ole-Christoffer Granmo; Lei Jiao 001; Rupsa Saha; Rohan Kumar Yadav (ICML, 2021)

Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (ICMLT, 2021)

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (IEEE Access, 2021)

Novel Tsetlin Machine Mechanisms for Logic-based Regression and Classification with Support for Continuous Input, Clause Weighting, Confidence Assessment, Deterministic Learning, and Convolution. - Kuruge Darshana Abeyrathna (2022)

Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. - Kuruge Darshana Abeyrathna; Ahmed Abdulrahem Othman Abouzeid; Bimal Bhattarai; Charul Giri; Sondre Glimsdal; Ole-Christoffer Granmo; Lei Jiao 001; Rupsa Saha; Jivitesh Sharma; Svein Anders Tunheim; Xuan Zhang 007 (IJCAI, 2023)

Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment. - Kuruge Darshana Abeyrathna; Sara El Mekkaoui; L. Yi Edward; Andreas Hafver; Ole-Christoffer Granmo (RuleML+RR, 2023)

A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Rishad A. Shafik; Lei Jiao 001; Adrian Wheeldon; Alex Yakovlev; Jie Lei; Morten Goodwin (Expert Syst. J. Knowl. Eng., 2023)

On the Convergence of Tsetlin Machines for the XOR Operator. - Lei Jiao 001; Xuan Zhang 007; Ole-Christoffer Granmo; Kuruge Darshana Abeyrathna (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification. - Kuruge Darshana Abeyrathna; Sara El Mekkaoui; Andreas Hafver; Christian Agrell (ICAAI, 2024)