| 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 | English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance. | Karl Audun Kagnes Borgersen, Morten Goodwin |
| 2025 | SGAI | Streamlining Municipal Governance: Detecting Redundancy in Regulation Plans Using Text Embeddings in Local Government. | Karl Audun Kagnes Borgersen, Morten Goodwin, Alexander Salveson Nossum |
| 2025 | SGAI | DESS: Dimensional-PDFs for Embedding Space Sampling. | Jakob Voigt, Morten Grundetjern, Per-Arne Andersen, Morten Goodwin |
| 2024 | CGI | A Manifold Representation of the Key in Vision Transformers. | Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad |
| 2024 | ICLR | State Representation Learning Using an Unbalanced Atlas. | Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad |
| 2024 | ICMLA | Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators. | Martin Holen, Svitlana P. Rogovchenko, Gulshan Noorsumar, Morten Goodwin |
| 2024 | RecSys | A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. | Karl Audun Kagnes Borgersen, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma |
| 2024 | SGAI | Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention. | Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo |
| 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 | Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction. | Martin Holen, Jayant Singh, Christian W. Omlin, Jing Zhou, Kristian Muri Knausgrd, Morten Goodwin |
| 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 |
| 2023 | CAIP | Unsupervised State Representation Learning in Partially Observable Atari Games. | Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad |
| 2023 | SGAI | CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. | Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rrvik |
| 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 | AAAI | Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. | Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin |
| 2022 | EANN | Brain Tumour Segmentation on 3D MRI Using Attention V-Net. | Charul Giri, Jivitesh Sharma, Morten Goodwin |
| 2022 | EANN | An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. | Aditya Gupta, Even Bringsdal, Nicole Salbuvik, Kristian Muri Knausgrd, Morten Goodwin |
| 2022 | EANN | Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. | Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgrd |
| 2022 | EANN | An Exploration of Semi-supervised Text Classification. | Henrik Lien, Daniel Biermann, Fabrizio Palumbo, Morten Goodwin |
| 2022 | EANN | ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs. | Vera Szabo, Saeed Hasan Ebrahimi, Martin Choux, Morten Goodwin |
| 2022 | HealthCom | Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. | Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin |
| 2022 | IJCAI | Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | AAAI | Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 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 | IJCNN | Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. | Micheal Dutt, Morten Goodwin, Christian W. Omlin |
| 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 | EANN | Modelling of Compressors in an Industrial CO _2 -Based Operational Cooling System Using ANN for Energy Management Purposes. | Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, Mohan Lal Kolhe |
| 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 | 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 | DeSE | A Multi-layer Feed Forward Neural Network Approach for Diagnosing Diabetes. | Micheal Dutt, Vimala Nunavath, Morten Goodwin |
| 2018 | EANN | Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. | Svein Inge Albrigtsen, Alexander Imenes, Morten Goodwin, Lei Jiao, Vimala Nunavath |
| 2018 | EANN | Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. | Vimala Nunavath, Morten Goodwin, Jahn Thomas Fidje, Carl Erik Moe |
| 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 | ADMA | Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. | Anis Yazidi, B. John Oommen, Morten Goodwin |
| 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 | CEC | Distributed learning automata for solving a classification task. | Morten Goodwin, Anis Yazidi, Tore Mller Jonassen |
| 2016 | CSEDU | Teaching Programming to Large Student Groups through Test Driven Development - Comparing Established Methods with Teaching based on Test Driven Development. | Morten Goodwin, Tom Drange |