| 2026 | COMSNETS | Human Activity Recognition Using 5G RF Sensing and Interpretable Tsetlin Machines. | Charitha Gadari, Sreenivasa Reddy Yeduri, Ole-Christoffer Granmo, Linga Reddy Cenkeramaddi |
| 2026 | COMSNETS | Tsetlin Machine-based Network Anomaly Detection System. | Bhumika Salvi, Sreenivasa Reddy Yeduri, Ole-Christoffer Granmo, Linga Reddy Cenkeramaddi |
| 2025 | AAAI | Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning. | Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi |
| 2025 | SGAI | A Comparative Study of Feature Selection in Tsetlin Machines. | Vojtech Halenka, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen |
| 2024 | EACL | Tsetlin Machine Embedding: Representing Words Using Logical Expressions. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma |
| 2024 | SGAI | Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention. | Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo |
| 2023 | AAAI | Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. | Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao |
| 2023 | ECIR | An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2023 | IJCAI | 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, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang |
| 2022 | AAAI | Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. | Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin |
| 2022 | IJCAI | Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2022 | IJCNN | Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. | Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely |
| 2022 | LREC | ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2022 | LREC | Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2021 | AAAI | Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | ICAART | A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2021 | ICAART | Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao |
| 2021 | ICAART | An Interpretable Word Sense Classifier for Human Explainable Chatbot. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | ICAART | Interpretability in Word Sense Disambiguation using Tsetlin Machine. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | ICML | 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, Rupsa Saha, Rohan Kumar Yadav |
| 2021 | SGAI | Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. | Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | SGAI | ORACLE: End-to-End Model Based Reinforcement Learning. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2020 | Interspeech | Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. | Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin |
| 2020 | SGAI | 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 |
| 2020 | SGAI | CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2020 | SGAI | Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. | Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin |
| 2019 | EPIA | The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. | Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin |
| 2019 | FRUCT | Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis. | Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin |
| 2019 | ICMLA | Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. | Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo |
| 2019 | SGAI | Towards Model-Based Reinforcement Learning for Industry-Near Environments. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2019 | SGAI | A Tsetlin Machine with Multigranular Clauses. | Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin |
| 2018 | ACIIDS | Solution of Dual Fuzzy Equations Using a New Iterative Method. | Sina Razvarz, Raheleh Jafari, Ole-Christoffer Granmo, Alexander E. Gegov |
| 2018 | ICANN | Deep CNN-ELM Hybrid Models for Fire Detection in Images. | Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin |
| 2018 | ICTAI | A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. | Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin |
| 2018 | SGAI | The Dreaming Variational Autoencoder for Reinforcement Learning Environments. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2017 | CEC | Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder. | Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo |
| 2017 | EANN | Deep Convolutional Neural Networks for Fire Detection in Images. | Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje |
| 2017 | SGAI | Towards a Deep Reinforcement Learning Approach for Tower Line Wars. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2017 | SGAI | A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. | Jahn Thomas Fidje, Christian Krkevik Haraldseid, Ole-Christoffer Granmo, Morten Goodwin, Bernt Viggo Matheussen |
| 2016 | ICMLA | Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation. | Ole-Christoffer Granmo |
| 2015 | ICMLA | Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning. | Sondre Glimsdal, Ole-Christoffer Granmo |
| 2014 | ICMLA | A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems. | Sondre Glimsdal, Ole-Christoffer Granmo |
| 2014 | PERCOM | Publish-subscribe smartphone sensing platform for the acute phase of a disaster: A framework for emergency management support. | Jaziar Radianti, Jose J. Gonzalez, Ole-Christoffer Granmo |
| 2013 | ICMLA | Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-armed Bandit Problems. | Neha Gupta, Ole-Christoffer Granmo, Ashok K. Agrawala |
| 2013 | PIMRC | Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach. | Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, B. John Oommen |
| 2011 | HAIS | A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes. | Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen |
| 2011 | ICCCI | A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection. | Vegard Haugland, Marius Kjlleberg, Svein-Erik Larsen, Ole-Christoffer Granmo |
| 2011 | ICMLA | Thompson Sampling for Dynamic Multi-armed Bandits. | Neha Gupta, Ole-Christoffer Granmo, Ashok K. Agrawala |
| 2011 | SGAI | Successive Reduction of Arms in Multi-Armed Bandits. | Neha Gupta, Ole-Christoffer Granmo, Ashok K. Agrawala |
| 2010 | ICAART | Enhancing Local-search based SAT Solvers with Learning Capability. | Ole-Christoffer Granmo, Noureddine Bouhmala |
| 2010 | ICAART | A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors. | Thomas Norheim, Terje Brdland, Ole-Christoffer Granmo, B. John Oommen |
| 2010 | PRICAI | Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns. | Anis Yazidi, Ole-Christoffer Granmo, Min Lin, Xifeng Wen, B. John Oommen, Martin Gerdes, Frank Reichert |
| 2010 | SSPR | Language Detection and Tracking in Multilingual Documents Using Weak Estimators. | Aleksander Stensby, B. John Oommen, Ole-Christoffer Granmo |
| 2008 | ICMLA | A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems. | Ole-Christoffer Granmo |
| 2008 | SGAI | The Bayesian Learning Automaton - Empirical Evaluation with Two-Armed Bernoulli Bandit Problems. | Ole-Christoffer Granmo |
| 2006 | INFOCOM | A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering. | B. John Oommen, Sudip Misra, Ole-Christoffer Granmo |
| 2004 | SAC | Parallel hypothesis driven video content analysis. | Ole-Christoffer Granmo |
| 2003 | HCI | Towards a Probabilistic Framework for Analogous Multi-Modal Human-Computer Interaction. | Ole-Christoffer Granmo, Vladimir A. Oleshchuk, Mikael Snaprud |
| 2002 | PDPTA | Real-time Hypothesis Driven Feature Extraction on Parallel Processing Architectures. | Ole-Christoffer Granmo, Finn Verner Jensen |