1. Abeyrathna, K.D., et al..: Massively parallel and asynchronous Tsetlin Machine architecture supporting almost constant-time scaling. arXiv preprint arXiv:2009.04861 (2020)
2. Abeyrathna, K.D., Granmo, O.C., Zhang, X., Jiao, L., Goodwin, M.: The regression Tsetlin Machine - a novel approach to interpretable non-linear regression. Philos. Trans. R. Soc. A 378, 20190165 (2019)
3. Abeyrathna, K.D., Granmo, O.-C., Goodwin, M.: A regression Tsetlin Machine with integer weighted clauses for compact pattern representation. In: 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2020). Springer (2020)
4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);KD Abeyrathna,2019
5. Berge, G.T., Granmo, O.C., Tveit, T.O., Goodwin, M., Jiao, L., Matheussen, B.V.: Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications. IEEE Access 7, 115134–115146 (2019). https://doi.org/10.1109/ACCESS.2019.2935416