Morten Goodwin

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 153

Top Venues

Publications

Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
A Manifold Representation of the Key in Vision Transformers. CoRR (2024)
Sander Riisøen Jyhne, Morten Goodwin, Per-Arne Andersen, Ivar Oveland, Alexander Salveson Nossum, Karianne Ormseth, Mathilde Ørstavik, Andrew C. Flatman
MapAI: Precision in Building Segmentation. CoRR (2024)
Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
State Representation Learning Using an Unbalanced Atlas. CoRR (2023)
Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård, Morten Goodwin
Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning. CoRR (2023)
Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. SGAI Conf. (2023)
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
ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. SGAI Conf. (2023)
Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo
Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. AIAI (2) (2023)
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
DeNISE: Deep Networks for Improved Segmentation Edges. CoRR (2023)
Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. NLDL (2023)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Morten Goodwin
Natural Language Modeling with the Tsetlin Machine. IEA/AIE (2) (2023)
Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen
Distinct Sequential Models for Inference Boosting. SGAI Conf. (2023)
Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen
A contrastive learning approach for individual re-identification in a wild fish population. CoRR (2023)
Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
Unsupervised State Representation Learning in Partially Observable Atari Games. CAIP (2) (2023)
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches. CoRR (2023)
Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. CoRR (2023)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Lei Jiao, Adrian Wheeldon, Alex Yakovlev, Jie Lei, Morten Goodwin
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. Expert Syst. J. Knowl. Eng. 40 (4) (2023)
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland
A Contrastive Learning Scheme with Transformer Innate Patches. SGAI Conf. (2023)
Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo
Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders. CoRR (2023)
Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen
DeNISE: Deep Networks for Improved Segmentation Edges. AIAI (1) (2023)
Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen
A contrastive learning approach for individual re-identification in a wild fish population. NLDL (2023)
Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. Appl. Intell. 53 (13) (2023)
Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. IEEE Trans. Games 15 (4) (2023)
Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
Unsupervised Representation Learning in Partially Observable Atari Games. CoRR (2023)
Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin
Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert Syst. J. Knowl. Eng. 40 (4) (2023)
Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. AAAI (2022)
Vera Szabo, Saeed Hasan Ebrahimi, Martin Choux, Morten Goodwin
ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs. EANN (2022)
Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. CoRR (2022)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoRR (2022)
Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. EANN (2022)
Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin
Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. HealthCom (2022)
Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
A relational tsetlin machine with applications to natural language understanding. J. Intell. Inf. Syst. 59 (1) (2022)
Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. CoRR (2022)
Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
Deep Reinforcement Learning with Swin Transformer. CoRR (2022)
Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
Improving the Diversity of Bootstrapped DQN via Noisy Priors. CoRR (2022)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. CoRR (2022)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. IJCAI (2022)
Charul Giri, Jivitesh Sharma, Morten Goodwin
Brain Tumour Segmentation on 3D MRI Using Attention V-Net. EANN (2022)
Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo
Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. NAIS (2022)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG (2022)
Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Tallaksen Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
Temperate fish detection and classification: a deep learning based approach. Appl. Intell. 52 (6) (2022)
Aditya Gupta, Even Bringsdal, Nicole Salbuvik, Kristian Muri Knausgård, Morten Goodwin
An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. EANN (2022)
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma
A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems. CoRR (2022)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. ISBI (2022)
Henrik Lien, Daniel Biermann, Fabrizio Palumbo, Morten Goodwin
An Exploration of Semi-supervised Text Classification. EANN (2022)
Martin Holen, Kristian Muri Knausgård, Morten Goodwin
Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars. Informatics 9 (2) (2022)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. ISBI (2022)
Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. NLDL (2022)
Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal
Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data. ISBI (2021)
Micheal Dutt, Morten Goodwin, Christian W. Omlin
Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. IJCNN (2021)
Vimala Nunavath, Sahand Johansen, Tommy Sandtorv Johannessen, Lei Jiao, Bjørge Herman Hansen, Sveinung Berntsen, Morten Goodwin
Deep Learning for Classifying Physical Activities from Accelerometer Data. Sensors 21 (16) (2021)
Rohan Kumar Yadav, Lei Jiao, Morten Goodwin, Ole-Christoffer Granmo
Positionless aspect based sentiment analysis using attention mechanism. Knowl. Based Syst. 226 (2021)
Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
A Relational Tsetlin Machine with Applications to Natural Language Understanding. CoRR (2021)
Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao, Kristian Muri Knausgård, Angela Helen Martin, Marta Moyano, Rebekah A. Oomen, Jeppe Have Rasmussen, Tonje Knutsen Sørdalen, Susanna Huneide Thorbjørnsen
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. CoRR (2021)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. (2021)
Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin
Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. SGAI Conf. (2021)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. CoRR (2021)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Syst. J. Knowl. Eng. 38 (7) (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. BlackboxNLP@EMNLP (2021)
Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. IEA/AIE (1) (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. AAAI (2021)
Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. ICML (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Interpretability in Word Sense Disambiguation using Tsetlin Machine. ICAART (2) (2021)
Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Trans. Syst. Man Cybern. Syst. 51 (12) (2021)
Martin Holen, Kristian Muri Knausgård, Morten Goodwin
An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning. INTAP (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
An Interpretable Word Sense Classifier for Human Explainable Chatbot. ICAART (Revised Selected Papers) (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Distributed Word Representation in Tsetlin Machine. CoRR (2021)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. ICMLT (2021)
Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data. CoRR (2021)
Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad
Expert Q-learning: Deep Q-learning With State Values From Expert Examples. CoRR (2021)
Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
Learning Automata-based Misinformation Mitigation via Hawkes Processes. Inf. Syst. Frontiers 23 (5) (2021)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access 9 (2021)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. CoRR (2020)
Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
Temperate Fish Detection and Classification: a Deep Learning based Approach. CoRR (2020)
Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI Conf. (2020)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. IEA/AIE (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) (2020)
Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. CoRR (2020)
Morten Goodwin, Anis Yazidi
Distributed learning automata-based scheme for classification using novel pursuit scheme. Appl. Intell. 50 (7) (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Towards safe reinforcement-learning in industrial grid-warehousing. Inf. Sci. 537 (2020)
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. CoRR (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. SSCI (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. SSCI (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. CoRR (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI Conf. (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. (2020)
Martin Holen, Rupsa Saha, Morten Goodwin, Christian W. Omlin, Knut Eivind Sandsmark
Road Detection for Reinforcement Learning Based Autonomous Car. ICISS (2020)
Charul Giri, Morten Goodwin, Ketil Oppedal
Deep 3D Convolution Neural Network for Alzheimer's Detection. LOD (1) (2020)
Anis Yazidi, Nourredine Bouhmala, Morten Goodwin
A team of pursuit learning automata for solving deterministic optimization problems. Appl. Intell. 50 (9) (2020)
Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
Combining a context aware neural network with a denoising autoencoder for measuring string similarities. Comput. Speech Lang. 60 (2020)
Morten Goodwin, Anis Yazidi, Tore Møller Jonassen
Distributed Learning Automata-based S-learning scheme for classification. Pattern Anal. Appl. 23 (3) (2020)
Mehdi Ben Lazreg, Usman Anjum, Vladimir Zadorozhny, Morten Goodwin
Semantic Decay Filter for Event Detection. ISCRAM (2020)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. CoRR (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
Integer Weighted Regression Tsetlin Machines. IEA/AIE (2020)
Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. INTERSPEECH (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. CoRR (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP (2020)
Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation. CoRR (2019)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin
A Tsetlin Machine with Multigranular Clauses. CoRR (2019)
Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge
The Convolutional Tsetlin Machine. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Morten Goodwin