A Proposed Architecture for Large Scale Web Accessibility Assessment. - Mikael Holmesland Snaprud; Nils Ulltveit-Moe; Anand Balachandran Pillai; Morten Goodwin Olsen (ICCHP, 2006)

Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation. - Ole-Christoffer Granmo; B. John Oommen; Svein Arild Myrer; Morten Goodwin Olsen (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Monitoring Accessibility of Governmental Web Sites in Europe. - Christian Bühler; Helmut Heck; Annika Nietzio; Morten Goodwin Olsen; Mikael Snaprud (ICCHP, 2008)

Is It Possible to Predict the Manual Web Accessibility Result Using the Automatic Result? - Carlos Casado Martínez; Loïc Martínez Normand; Morten Goodwin Olsen (HCI (7), 2009)

Benchmarking e-Government - A Comparative Review of Three International Benchmarking Studies. - Lasse Berntzen; Morten Goodwin Olsen (ICDS, 2009)

Accessibility of eGovernment Web Sites: Towards a Collaborative Retrofitting Approach. - Annika Nietzio; Morten Goodwin Olsen; Mandana Eibegger; Mikael Snaprud (ICCHP (1), 2010)

Automatic Checking of Alternative Texts on Web Pages. - Morten Goodwin Olsen; Mikael Snaprud; Annika Nietzio (ICCHP (1), 2010)

A solution to the exact match on rare item searches: introducing the lost sheep algorithm. - Morten Goodwin (WIMS, 2011)

Following the WCAG 2.0 Techniques: Experiences from Designing a WCAG 2.0 Checking Tool. - Annika Nietzio; Mandana Eibegger; Morten Goodwin Olsen; Mikael Snaprud (ICCHP (1), 2012)

A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen; Morten Goodwin Olsen (IEA/AIE, 2012)

A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning. - Ole-Christoffer Granmo; Jaziar Radianti; Morten Goodwin Olsen; Julie Dugdale; Parvaneh Sarshar; Sondre Glimsdal; Jose J. Gonzalez (IEA/AIE, 2013)

Ant Colony Optimisation for Planning Safe Escape Routes. - Morten Goodwin Olsen; Ole-Christoffer Granmo; Jaziar Radianti; Parvaneh Sarshar; Sondre Glimsdal (IEA/AIE, 2013)

Towards automatic assessment of government web sites. - Morten Goodwin (WIMS, 2013)

On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. - Anis Yazidi; B. John Oommen; Ole-Christoffer Granmo; Morten Goodwin (CSE, 2014)

Predicting Source Code Quality with Static Analysis and Machine Learning. - Vera Barstad; Morten Goodwin; Terje Gjøsæter (NIK, 2014)

Evaluating prediction models for electricity consumption. - Lasse A. Karlsen; Morten Goodwin (NIK, 2014)

A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen; Morten Goodwin Olsen (IEEE Trans. Cybern., 2014)

Towards Multilevel Ant Colony Optimisation for the Euclidean Symmetric Traveling Salesman Problem. - Thomas Andre Lian; Marilex Rea Llave; Morten Goodwin; Noureddine Bouhmala (IEA/AIE, 2015)

AIs for Dominion Using Monte-Carlo Tree Search. - Robin Tollisen; Jon Vegard Jansen; Morten Goodwin; Sondre Glimsdal (IEA/AIE, 2015)

On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth. - Anis Yazidi; B. John Oommen; Morten Goodwin Olsen (WI-IAT (2), 2015)

Escape planning in realistic fire scenarios with Ant Colony Optimisation. - Morten Goodwin Olsen; Ole-Christoffer Granmo; Jaziar Radianti (Appl. Intell., 2015)

A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters. - Jaziar Radianti; Ole-Christoffer Granmo; Parvaneh Sarshar; Morten Goodwin Olsen; Julie Dugdale; Jose J. Gonzalez (Appl. Intell., 2015)

Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons. - Morten Goodwin; Anis Yazidi (ANTS Conference, 2016)

Optimizing PolyACO Training with GPU-Based Parallelization. - Torry Tufteland; Guro Ødesneltvedt; Morten Goodwin (ANTS Conference, 2016)

Distributed learning automata for solving a classification task. - Morten Goodwin; Anis Yazidi; Tore Møller Jonassen (CEC, 2016)

Teaching Programming to Large Student Groups through Test Driven Development - Comparing Established Methods with Teaching based on Test Driven Development. - Morten Goodwin; Tom Drange (CSEDU (1), 2016)

Information Abstraction from Crises Related Tweets Using Recurrent Neural Network. - Mehdi Ben Lazreg; Morten Goodwin; Ole-Christoffer Granmo (AIAI, 2016)

Towards Evacuation Planning of Groups with Genetic Algorithms. - Bjørnar Hansen; Leonard Loland; Morten Goodwin; Ole-Christoffer Granmo (SAIS, 2016)

Deep Learning for Social Media Analysis in Crises Situations (Position paper). - Mehdi Ben Lazreg; Morten Goodwin; Ole-Christoffer Granmo (SAIS, 2016)

Adaptive Task Assignment in Online Learning Environments. - Per-Arne Andersen; Christian Kråkevik; Morten Goodwin; Anis Yazidi (WIMS, 2016)

A pattern recognition approach for peak prediction of electrical consumption. - Morten Goodwin; Anis Yazidi (Integr. Comput. Aided Eng., 2016)

Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. - Anis Yazidi; B. John Oommen; Morten Goodwin (ADMA, 2017)

Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder. - Mehdi Ben Lazreg; Morten Goodwin; Ole-Christoffer Granmo (CEC, 2017)

Deep Convolutional Neural Networks for Fire Detection in Images. - Jivitesh Sharma; Ole-Christoffer Granmo; Morten Goodwin; Jahn Thomas Fidje (EANN, 2017)

Towards Open Domain Chatbots - A GRU Architecture for Data Driven Conversations. - Åsmund Kamphaug; Ole-Christoffer Granmo; Morten Goodwin; Vladimir Zadorozhny (INSCI Workshops, 2017)

FlashRL: A Reinforcement Learning Platform for Flash Games. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (NIK, 2017)

Towards a Deep Reinforcement Learning Approach for Tower Line Wars. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (SGAI Conf., 2017)

A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. - Jahn Thomas Fidje; Christian Kråkevik Haraldseid; Ole-Christoffer Granmo; Morten Goodwin; Bernt Viggo Matheussen (SGAI Conf., 2017)

PolyACO+: a multi-level polygon-based ant colony optimisation classifier. - Morten Goodwin; Torry Tufteland; Guro Ødesneltvedt; Anis Yazidi (Swarm Intell., 2017)

On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments. - Anis Yazidi; B. John Oommen; Morten Goodwin (IEEE Trans. Cybern., 2017)

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (CIG, 2018)

A Multi-layer Feed Forward Neural Network Approach for Diagnosing Diabetes. - Micheal Dutt; Vimala Nunavath; Morten Goodwin (DeSE, 2018)

Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. - Svein Inge Albrigtsen; Alexander Imenes; Morten Goodwin; Lei Jiao 001; Vimala Nunavath (EANN, 2018)

Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. - Vimala Nunavath; Morten Goodwin; Jahn Thomas Fidje; Carl Erik Moe (EANN, 2018)

Deep CNN-ELM Hybrid Models for Fire Detection in Images. - Jivitesh Sharma; Ole-Christoffer Granmo; Morten Goodwin (ICANN (3), 2018)

The Role of Artificial Intelligence in Social Media Big data Analytics for Disaster Management -Initial Results of a Systematic Literature Review. - Vimala Nunavath; Morten Goodwin (ICT-DM, 2018)

A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (ICTAI, 2018)

Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (NIK, 2018)

The Dreaming Variational Autoencoder for Reinforcement Learning Environments. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (SGAI Conf., 2018)

Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities. - Mehdi Ben Lazreg; Morten Goodwin (CoRR, 2018)

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 001; Henrik Kofoed Nielsen; Mohan Lal Kolhe (EANN, 2019)

The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Lei Jiao 001; Morten Goodwin (EPIA (2), 2019)

Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis. - Ahmed Abouzeid; Ole-Christoffer Granmo; Christian Webersik; Morten Goodwin (FRUCT, 2019)

An Iterative Information Retrieval Approach from Social Media in Crisis Situations. - Mehdi Ben Lazreg; Morten Goodwin; Ole-Christoffer Granmo (ICT-DM, 2019)

The Use of Artificial Intelligence in Disaster Management - A Systematic Literature Review. - Vimala Nunavath; Morten Goodwin (ICT-DM, 2019)

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Xuan Zhang 007; Morten Goodwin (IEA/AIE, 2019)

Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation. - Erlend Olsvik; Christian M. D. Trinh; Kristian Muri Knausgård; Arne Wiklund; Tonje Knutsen Sørdalen; Alf Ring Kleiven; Lei Jiao 001; Morten Goodwin (IEA/AIE, 2019)

Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. - Raheleh Jafari; Sina Razvarz; Wen Yu 001; Alexander E. Gegov; Morten Goodwin; Mo Adda (IntelliSys (1), 2019)

Towards Model-Based Reinforcement Learning for Industry-Near Environments. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (SGAI Conf., 2019)

A Tsetlin Machine with Multigranular Clauses. - Saeed Rahimi Gorji; Ole-Christoffer Granmo; Adrian Phoulady; Morten Goodwin (SGAI Conf., 2019)

Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers. - Mehdi Ben Lazreg; Nadia Saad Noori; Tina Comes; Morten Goodwin (WI, 2019)

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. - Geir Thore Berge; Ole-Christoffer Granmo; Tor Oddbjørn Tveit; Morten Goodwin; Lei Jiao 001; Bernt Viggo Matheussen (IEEE Access, 2019)

The Convolutional Tsetlin Machine. - Ole-Christoffer Granmo; Sondre Glimsdal; Lei Jiao 001; Morten Goodwin; Christian W. Omlin; Geir Thore Berge (CoRR, 2019)

A Neural Turing Machine for Conditional Transition Graph Modeling. - Mehdi Ben Lazreg; Morten Goodwin; Ole-Christoffer Granmo (CoRR, 2019)

Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. - Jivitesh Sharma; Charul Giri; Ole-Christoffer Granmo; Morten Goodwin (EURASIP J. Inf. Secur., 2019)

Road Detection for Reinforcement Learning Based Autonomous Car. - Martin Holen; Rupsa Saha; Morten Goodwin; Christian W. Omlin; Knut Eivind Sandsmark (ICISS, 2020)

Integer Weighted Regression Tsetlin Machines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (IEA/AIE, 2020)

Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. - Saeed Rahimi Gorji; Ole-Christoffer Granmo; Sondre Glimsdal; Jonathan Edwards; Morten Goodwin (IEA/AIE, 2020)

Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (INTAP, 2020)

Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. - Jivitesh Sharma; Ole-Christoffer Granmo; Morten Goodwin (INTERSPEECH, 2020)

Semantic Decay Filter for Event Detection. - Mehdi Ben Lazreg; Usman Anjum; Vladimir Zadorozhny; Morten Goodwin (ISCRAM, 2020)

Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (LOD (2), 2020)

Deep 3D Convolution Neural Network for Alzheimer's Detection. - Charul Giri; Morten Goodwin; Ketil Oppedal (LOD (1), 2020)

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 (SGAI Conf., 2020)

CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (SGAI Conf., 2020)

Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. - Rupsa Saha; Ole-Christoffer Granmo; Morten Goodwin (SGAI Conf., 2020)

On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (SSCI, 2020)

Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Xuan Zhang 007; Morten Goodwin (SSCI, 2020)

Distributed learning automata-based scheme for classification using novel pursuit scheme. - Morten Goodwin; Anis Yazidi (Appl. Intell., 2020)

A team of pursuit learning automata for solving deterministic optimization problems. - Anis Yazidi; Nourredine Bouhmala; Morten Goodwin (Appl. Intell., 2020)

A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (CoRR, 2020)

Combining a context aware neural network with a denoising autoencoder for measuring string similarities. - Mehdi Ben Lazreg; Morten Goodwin; Ole-Christoffer Granmo (Comput. Speech Lang., 2020)

Towards safe reinforcement-learning in industrial grid-warehousing. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (Inf. Sci., 2020)

Distributed Learning Automata-based S-learning scheme for classification. - Morten Goodwin; Anis Yazidi; Tore Møller Jonassen (Pattern Anal. Appl., 2020)

Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. - Rohan Kumar Yadav; Lei Jiao 001; Ole-Christoffer Granmo; Morten Goodwin (AAAI, 2021)

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. - Rohan Kumar Yadav; Lei Jiao 001; Ole-Christoffer Granmo; Morten Goodwin (BlackboxNLP@EMNLP, 2021)

An Interpretable Word Sense Classifier for Human Explainable Chatbot. - Rohan Kumar Yadav; Lei Jiao 001; Ole-Christoffer Granmo; Morten Goodwin (ICAART (Revised Selected Papers), 2021)

Interpretability in Word Sense Disambiguation using Tsetlin Machine. - Rohan Kumar Yadav; Lei Jiao 001; Ole-Christoffer Granmo; Morten Goodwin (ICAART (2), 2021)

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 001; Rupsa Saha; Rohan Kumar Yadav (ICML, 2021)

Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (ICMLT, 2021)

Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. - Jivitesh Sharma; Ole-Christoffer Granmo; Morten Goodwin (IEA/AIE (1), 2021)

Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. - Micheal Dutt; Morten Goodwin; Christian W. Omlin (IJCNN, 2021)

An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning. - Martin Holen; Kristian Muri Knausgård; Morten Goodwin (INTAP, 2021)

Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data. - Alvaro Fernandez-Quilez; Steinar Valle Larsen; Morten Goodwin; Thor Ole Gulsrud; Svein Reidar Kjosavik; Ketil Oppedal (ISBI, 2021)

Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. - Ahmed Abouzeid; Ole-Christoffer Granmo; Morten Goodwin (SGAI Conf., 2021)

ORACLE: End-to-End Model Based Reinforcement Learning. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (SGAI Conf., 2021)

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Morten Goodwin (IEEE Access, 2021)

Distributed Word Representation in Tsetlin Machine. - Rohan Kumar Yadav; Lei Jiao 001; Ole-Christoffer Granmo; Morten Goodwin (CoRR, 2021)

Expert Q-learning: Deep Q-learning With State Values From Expert Examples. - Li Meng 002; Anis Yazidi; Morten Goodwin; Paal Engelstad (CoRR, 2021)

Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. - Alvaro Fernandez-Quilez; Trygve Eftestøl; Morten Goodwin; Svein Reidar Kjosavik; Ketil Oppedal (CoRR, 2021)

Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. - Morten Goodwin; Kim Tallaksen Halvorsen; Lei Jiao 001; Kristian Muri Knausgård; Angela Helen Martin; Marta Moyano; Rebekah A. Oomen; Jeppe Have Rasmussen; Tonje Knutsen Sørdalen; Susanna Huneide Thorbjørnsen (CoRR, 2021)

Increasing sample efficiency in deep reinforcement learning using generative environment modelling. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (Expert Syst. J. Knowl. Eng., 2021)

Learning Automata-based Misinformation Mitigation via Hawkes Processes. - Ahmed Abouzeid; Ole-Christoffer Granmo; Christian Webersik; Morten Goodwin (Inf. Syst. Frontiers, 2021)

Positionless aspect based sentiment analysis using attention mechanism. - Rohan Kumar Yadav; Lei Jiao 001; Morten Goodwin; Ole-Christoffer Granmo (Knowl. Based Syst., 2021)

Deep Learning for Classifying Physical Activities from Accelerometer Data. - Vimala Nunavath; Sahand Johansen; Tommy Sandtorv Johannessen; Lei Jiao 001; Bjørge Herman Hansen; Sveinung Berntsen; Morten Goodwin (Sensors, 2021)

Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. - Jivitesh Sharma; Per-Arne Andersen; Ole-Christoffer Granmo; Morten Goodwin (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. - Ahmed Abouzeid; Ole-Christoffer Granmo; Christian Webersik; Morten Goodwin (AAAI, 2022)

CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (CoG, 2022)

Brain Tumour Segmentation on 3D MRI Using Attention V-Net. - Charul Giri; Jivitesh Sharma; Morten Goodwin (EANN, 2022)

An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. - Aditya Gupta; Even Bringsdal; Nicole Salbuvik; Kristian Muri Knausgård; Morten Goodwin (EANN, 2022)

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 Knausgård (EANN, 2022)

An Exploration of Semi-supervised Text Classification. - Henrik Lien; Daniel Biermann; Fabrizio Palumbo; Morten Goodwin (EANN, 2022)

ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs. - Vera Szabo; Saeed Hasan Ebrahimi; Martin Choux; Morten Goodwin (EANN, 2022)

Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. - Micheal Dutt; Surender Redhu; Morten Goodwin; Christian W. Omlin (HealthCom, 2022)

Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. - Rohan Kumar Yadav; Lei Jiao 001; Ole-Christoffer Granmo; Morten Goodwin (IJCAI, 2022)

Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. - Alvaro Fernandez-Quilez; Trygve Eftestøl; Svein Reidar Kjosavik; Morten Goodwin; Ketil Oppedal (ISBI, 2022)

Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. - Alvaro Fernandez-Quilez; Trygve Eftestøl; Svein Reidar Kjosavik; Morten Goodwin; Ketil Oppedal (ISBI, 2022)

Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. - Daniel Biermann; Morten Goodwin; Ole-Christoffer Granmo (NAIS, 2022)

Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. - Li Meng 002; Anis Yazidi; Morten Goodwin; Paal Engelstad (NLDL, 2022)

Temperate fish detection and classification: a deep learning based approach. - Kristian Muri Knausgård; Arne Wiklund; Tonje Knutsen Sørdalen; Kim Tallaksen Halvorsen; Alf Ring Kleiven; Lei Jiao 001; Morten Goodwin (Appl. Intell., 2022)

Improving the Diversity of Bootstrapped DQN via Noisy Priors. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CoRR, 2022)

Deep Reinforcement Learning with Swin Transformer. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CoRR, 2022)

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars. - Martin Holen; Kristian Muri Knausgård; Morten Goodwin (Informatics, 2022)

A relational tsetlin machine with applications to natural language understanding. - Rupsa Saha; Ole-Christoffer Granmo; Vladimir I. Zadorozhny; Morten Goodwin (J. Intell. Inf. Syst., 2022)

On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. - Xuan Zhang 007; Lei Jiao 001; Ole-Christoffer Granmo; Morten Goodwin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Unsupervised State Representation Learning in Partially Observable Atari Games. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CAIP (2), 2023)

Natural Language Modeling with the Tsetlin Machine. - Saeed Rahimi Gorji; Ole-Christoffer Granmo; Morten Goodwin (IEA/AIE (2), 2023)

Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. - Daniel Biermann; Morten Goodwin; Ole-Christoffer Granmo (AIAI (2), 2023)

DeNISE: Deep Networks for Improved Segmentation Edges. - Sander Riisøen Jyhne; Jørgen Åsbu Jacobsen; Morten Goodwin; Per-Arne Andersen (AIAI (1), 2023)

A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. - Karl Audun Borgersen; Morten Goodwin; Jivitesh Sharma (NLDL, 2023)

A contrastive learning approach for individual re-identification in a wild fish population. - Ørjan Langøy Olsen; Tonje Knutsen Sørdalen; Morten Goodwin; Ketil Malde; Kristian Muri Knausgård; Kim Tallaksen Halvorsen (NLDL, 2023)

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 Rørvik (SGAI Conf., 2023)

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 Mørch Korslund; Nadia Saad Noori (SGAI Conf., 2023)

A Contrastive Learning Scheme with Transformer Innate Patches. - Sander Riisøen Jyhne; Per-Arne Andersen; Morten Goodwin; Ivar Oveland (SGAI Conf., 2023)

Distinct Sequential Models for Inference Boosting. - Rune Alexander Laursen; Peshang Alo; Morten Goodwin; Per-Arne Andersen (SGAI Conf., 2023)

Unsupervised Representation Learning in Partially Observable Atari Games. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CoRR, 2023)

Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches. - Sander Riisøen Jyhne; Per-Arne Andersen; Morten Goodwin (CoRR, 2023)

Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning. - Martin Holen; Per-Arne Andersen; Kristian Muri Knausgård; Morten Goodwin (CoRR, 2023)

DeNISE: Deep Networks for Improved Segmentation Edges. - Sander Riisøen Jyhne; Per-Arne Andersen; Morten Goodwin (CoRR, 2023)

Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders. - Daniel Biermann; Fabrizio Palumbo; Morten Goodwin; Ole-Christoffer Granmo (CoRR, 2023)

A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. - Kuruge Darshana Abeyrathna; Ole-Christoffer Granmo; Rishad A. Shafik; Lei Jiao 001; Adrian Wheeldon; Alex Yakovlev; Jie Lei; Morten Goodwin (Expert Syst. J. Knowl. Eng., 2023)

Using Tsetlin Machine to discover interpretable rules in natural language processing applications. - Rupsa Saha; Ole-Christoffer Granmo; Morten Goodwin (Expert Syst. J. Knowl. Eng., 2023)

SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. - Micheal Dutt; Surender Redhu; Morten Goodwin; Christian W. Omlin (Appl. Intell., 2023)

Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal E. Engelstad (IEEE Trans. Games, 2023)

A Manifold Representation of the Key in Vision Transformers. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CGI (2), 2024)

Deep Reinforcement Learning with Swin Transformers. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (ICDSP, 2024)

State Representation Learning Using an Unbalanced Atlas. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal E. Engelstad (ICLR, 2024)

Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators. - Martin Holen; Svitlana P. Rogovchenko; Gulshan Noorsumar; Morten Goodwin (ICMLA, 2024)

Towards Robust Road Quality Detection Using Different Detection Models. - Aayushi Vinod Thantharate; Morten Goodwin; Per-Arne Andersen; Aditya Gupta (AIAI (3), 2024)

A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. - Karl Audun Kagnes Borgersen; Morten Goodwin; Morten Grundetjern; Jivitesh Sharma (RecSys, 2024)

Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention. - Daniel Biermann; Fabrizio Palumbo; Morten Goodwin; Ole-Christoffer Granmo (SGAI Conf. (1), 2024)

PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings. - Henrik Brådland; Morten Goodwin; Per-Arne Andersen; Alexander Salveson Nossum (SGAI Conf. (1), 2024)

NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition. - Morten Grundetjern; Per-Arne Andersen; Morten Goodwin; Karl Audun Borgersen (SGAI Conf. (1), 2024)

Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction. - Martin Holen; Jayant Singh; Christian W. Omlin; Jing Zhou 002; Kristian Muri Knausgård; Morten Goodwin (SGAI Conf. (2), 2024)

TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution. - Sander Riisøen Jyhne; Per-Arne Andersen; Ivar Oveland; Morten Goodwin (SGAI Conf. (1), 2024)

An Interpretable Deep Learning-Based Feature Reduction in Video-Based Human Activity Recognition. - Micheal Dutt; Morten Goodwin; Christian W. Omlin (IEEE Access, 2024)

MapAI: Precision in Building Segmentation. - Sander Riisøen Jyhne; Morten Goodwin; Per-Arne Andersen; Ivar Oveland; Alexander Salveson Nossum; Karianne Ormseth; Mathilde Ørstavik; Andrew C. Flatman (CoRR, 2024)

Maximum Manifold Capacity Representations in State Representation Learning. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CoRR, 2024)

Towards safe and sustainable reinforcement learning for real-time strategy games. - Per-Arne Andersen; Morten Goodwin; Ole-Christoffer Granmo (Inf. Sci., 2024)

Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance. - Ahmed Abouzeid; Ole-Christoffer Granmo; Morten Goodwin; Christian Webersik (J. Comput. Soc. Sci., 2024)

A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking. - Henrik Brådland; Morten Goodwin; Per-Arne Andersen; Alexander Salveson Nossum; Aditya Gupta (SIGIR, 2025)