On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators von Zhang, Xuan, Jiao, Lei, Granmo, Ole-Christoffer, Goodwin, Morten

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Using Tsetlin Machine to discover interpretable rules in natural language processing applications von Saha, Rupsa, Granmo, Ole‐Christoffer, Goodwin, Morten

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On the Convergence of Tsetlin Machines for the XOR Operator von Jiao, Lei, Zhang, Xuan, Granmo, Ole-Christoffer, Abeyrathna, Kuruge Darshana

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REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines von Maheshwari, Sidharth, Rahman, Tousif, Shafik, Rishad, Yakovlev, Alex, Rafiev, Ashur, Jiao, Lei, Granmo, Ole-Christoffer

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Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment von Sharma, Jivitesh, Andersen, Per-Arne, Granmo, Ole-Christoffer, Goodwin, Morten

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A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton von Zhang, Xuan, Jiao, Lei, Oommen, B. John, Granmo, Ole-Christoffer

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Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation von Sharma, Jivitesh, Giri, Charul, Granmo, Ole-Christoffer, Goodwin, Morten

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Learning Automata-based Misinformation Mitigation via Hawkes Processes von Abouzeid, Ahmed, Granmo, Ole-Christoffer, Webersik, Christian, Goodwin, Morten

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Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability von Darshana Abeyrathna, K., Granmo, Ole-Christoffer, Goodwin, Morten

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Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records von Berge, Geir Thore, Granmo, Ole-Christoffer, Tveit, Tor Oddbjarn, Ruthjersen, Anna Linda, Sharma, Jivitesh

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Increasing sample efficiency in deep reinforcement learning using generative environment modelling von Andersen, Per‐Arne, Goodwin, Morten, Granmo, Ole‐Christoffer

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Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications von Berge, Geir Thore, Granmo, Ole-Christoffer, Tveit, Tor Oddbjorn, Goodwin, Morten, Jiao, Lei, Matheussen, Bernt Viggo

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A multi‐step finite‐state automaton for arbitrarily deterministic Tsetlin Machine learning von Abeyrathna, Kuruge Darshana, Granmo, Ole‐Christoffer, Shafik, Rishad, Jiao, Lei, Wheeldon, Adrian, Yakovlev, Alex, Lei, Jie, Goodwin, Morten

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Low-Power Audio Keyword Spotting Using Tsetlin Machines von Lei, Jie, Rahman, Tousif, Shafik, Rishad, Wheeldon, Adrian, Yakovlev, Alex, Granmo, Ole-Christoffer, Kawsar, Fahim, Mathur, Akhil

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Adaptive Sparse Representation of Continuous Input for Tsetlin Machines Based on Stochastic Searching on the Line von Abeyrathna, Kuruge Darshana, Granmo, Ole-Christoffer, Goodwin, Morten

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A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem von Glimsdal, Sondre, Granmo, Ole-Christoffer

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Solving two-armed Bernoulli bandit problems using a Bayesian learning automaton von Granmo, Ole-Christoffer

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Positionless aspect based sentiment analysis using attention mechanism von Yadav, Rohan Kumar, Jiao, Lei, Goodwin, Morten, Granmo, Ole-Christoffer

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Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines von Bhattarai, Bimal, Granmo, Ole-Christoffer, Jiao, Lei

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The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality von Zhang, Xuan, Oommen, B. John, Granmo, Ole-Christoffer

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