| 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 | EANN | Implementing Hybrid Tsetlin Machine and Q-Learning for Solving the Job Shop Scheduling. | Reshma Maharjan, Per-Arne Andersen, Lei Jiao |
| 2025 | SIGIR | A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking. | Henrik Brdland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum, Aditya Gupta |
| 2025 | SGAI | A Comparative Study of Feature Selection in Tsetlin Machines. | Vojtech Halenka, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen |
| 2025 | SGAI | A Reinforcement Learning Environment for Job Shop Scheduling with Tool Management. | Reshma Maharjan, Per-Arne Andersen, Lei Jiao |
| 2025 | SGAI | DESS: Dimensional-PDFs for Embedding Space Sampling. | Jakob Voigt, Morten Grundetjern, Per-Arne Andersen, Morten Goodwin |
| 2024 | SGAI | PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings. | Henrik Brdland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum |
| 2024 | SGAI | NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition. | Morten Grundetjern, Per-Arne Andersen, Morten Goodwin, Karl Audun Borgersen |
| 2024 | SGAI | TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution. | Sander Riisen Jyhne, Per-Arne Andersen, Ivar Oveland, Morten Goodwin |
| 2024 | SGAI | Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning. | Reshma Maharjan, Per-Arne Andersen, Lei Jiao |
| 2023 | SGAI | ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. | Vetle Nesland Evensen, Gabriel Bergman Henriksen, Sondre Melhus, Ole Steine Olsen, Kristina Haugen, Dag Dolmen, Arne Wiklund, Per-Arne Andersen, Morten Goodwin, Lars Mrch Korslund, Nadia Saad Noori |
| 2023 | SGAI | A Contrastive Learning Scheme with Transformer Innate Patches. | Sander Riisen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland |
| 2023 | SGAI | Distinct Sequential Models for Inference Boosting. | Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen |
| 2022 | SGAI | The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications. | Abraham Anderson, Einar Julius Olafarson, Per-Arne Andersen, Nadia Saad Noori |
| 2021 | SGAI | ORACLE: End-to-End Model Based Reinforcement Learning. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2020 | SGAI | CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2019 | SGAI | Towards Model-Based Reinforcement Learning for Industry-Near Environments. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2018 | SGAI | The Dreaming Variational Autoencoder for Reinforcement Learning Environments. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |
| 2017 | SGAI | Towards a Deep Reinforcement Learning Approach for Tower Line Wars. | Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo |