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Morten Goodwin

Morten Goodwin

Professor

Department of Information and Communication Technology >

 

+47 37 23 31 05

+47 952 48 679

Office:
A3061 ( Jon Lilletuns vei 9, Grimstad )

Biography:

  • See: http://mortengoodwin.no

 

 

Scientific publications

  • Dutt, Micheal; Goodwin, Morten; Omlin, Christian Walter Peter (2024). An Interpretable Deep Learning-based Feature Reduction in Video-Based Human Activity Recognition. IEEE Access. ISSN: 2169-3536. doi:10.1109/ACCESS.2024.3432776.
  • Dutt, Micheal; Gupta, Aditya; Goodwin, Morten; Omlin, Christian Walter Peter (2024). An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection. Applied Sciences. ISSN: 2076-3417. 14 (11). s 1 - 27. doi:10.3390/app14114722.
  • Thantharate, Aayushi Vinod; Goodwin, Morten; Andersen, Per-Arne; Gupta, Aditya (2024). Towards Robust Road Quality Detection Using Different Detection Models. Artificial Intelligence Applications and Innovations. AIAI 2024. ISBN: 978-3-031-63218-1. Springer. Chapter. s 125 - 138.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Goodwin, Morten; Webersik, Christian (2024). Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance. Journal of Computational Social Science (JCSS). ISSN: 2432-2717. doi:10.1007/s42001-024-00256-9.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2024). Towards safe and sustainable reinforcement learning for real-time strategy games. Information Sciences. ISSN: 0020-0255. 679doi:10.1016/j.ins.2024.120980.
  • Kvande, Mikkel Andreas; Jacobsen, Sigurd Løite; Goodwin, Morten; Gupta, Rashmi (2024). Using AI to Empower Norwegian Agriculture: Attention-Based Multiple-Instance Learning Implementation. Agronomy. ISSN: 2073-4395. 14 (6). doi:10.3390/agronomy14061089.
  • Jyhne, Sander; Andersen, Per-Arne; Goodwin, Morten; Oveland, Ivar (2023). A Contrastive Learning Scheme with Transformer Innate Patches. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14381s 103 - 114. doi:10.1007/978-3-031-47994-6_8.
  • Borgersen, Karl Audun Kagnes; Goodwin, Morten; Sharma, Jivitesh (2023). A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. Proceedings of the Northern Lights Deep Learning Workshop. doi:10.7557/18.6807.
  • Olsen, Ørjan Langøy; Sørdalen, Tonje Knutsen; Goodwin, Morten; Malde, Ketil; Knausgård, Kristian Muri; Halvorsen, Kim Aleksander Tallaksen (2023). A contrastive learning approach for individual re-identification in a wild fish population. Proceedings of the Northern Lights Deep Learning Workshop. 4doi:10.7557/18.6824.
  • Opalic, Sven Myrdahl; Palumbo, Fabrizio; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (2023). COST-WINNERS: COST reduction WIth Neural NEtworks-based augmented Random Search for simultaneous thermal and electrical energy storage control. Journal of Energy Storage. ISSN: 2352-152X. 72 (B). doi:10.1016/j.est.2023.108202.
  • Borgersen, Karl Audun Kagnes; Goodwin, Morten; Sharma, Jivitesh; Aasmoe, Tobias; Leonhardsen, Mari; Rørvik, Gro Herredsvela (2023). CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. Artificial Intelligence XL: 43rd SGAI International Conference on Artificial Intelligence, AI 2023. ISBN: 978-3-031-47993-9. Springer. Conference paper. s 89 - 102.
  • Jyhne, Sander; Jacobsen, Jørgen Åsbu; Goodwin, Morten; Andersen, Per-Arne (2023). DeNISE: Deep Networks for Improved Segmentation Edges. IFIP Advances in Information and Communication Technology. ISSN: 1868-4238. 675s 81 - 89. doi:10.1007/978-3-031-34111-3_8.
  • Laursen, Rune Alexander; Alo, Peshang; Goodwin, Morten; Andersen, Per-Arne (2023). Distinct Sequential Models for Inference Boosting. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14381s 198 - 203. doi:10.1007/978-3-031-47994-6_15.
  • Drøsdal, Didrik Kallhovd; Grimsmo, Andreas; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2023). Exploring the Potential of Model-Free Reinforcement Learning using Tsetlin Machines. 2023 International Symposium on the Tsetlin Machine (ISTM). ISBN: 979-8-3503-4477-6. IEEE conference proceedings. Chapter.
  • Biermann, Daniel; Goodwin, Morten; Granmo, Ole-Christoffer (2023). Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. ISBN: 9783031170294. Springer Nature. Konferanseartikkel. s 3 - 15.
  • Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Goodwin, Morten (2023). Natural Language Modeling with the Tsetlin Machine. Advances and Trends in Artificial Intelligence. Theory and Applications. IEA/AIE 2023.. ISBN: 978-3-031-36821-9. Springer. Chapter. s 141 - 150.
  • Evensen, Vetle Nesland; Henriksen, Gabriel Bergman; Melhus, Sondre; Olsen, Ole Steine; Haugen, Kristina; Dolmen, Dag; Wiklund, Arne; Andersen, Per-Arne; Goodwin, Morten; Korslund, Lars; Noori, Nadia Saad (2023). ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14381s 365 - 376. doi:10.1007/978-3-031-47994-6_33.
  • Gunvaldsen, Ole; Thorsen, Henning Blomfeld; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2023). Towards IoT Anomaly Detection with Tsetlin Machines. 2023 International Symposium on the Tsetlin Machine (ISTM). ISBN: 979-8-3503-4477-6. IEEE conference proceedings. Chapter.
  • Biermann, Daniel; Goodwin, Morten; Granmo, Ole-Christoffer (2023). Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. Artificial Intelligence Applications and Innovations. ISBN: 978-3-031-34106-9. Springer. Chapter.
  • Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal E. (2023). Unsupervised State Representation Learning in Partially Observable Atari Games. Computer Analysis of Images and Patterns. CAIP 2023. ISBN: 978-3-031-44239-1. Springer. Chapter. s 212 - 222.
  • Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2023). Vertical Approach Anomaly Detection Using Local Outlier Factor. Power Systems Cybersecurity Methods, Concepts, and Best Practices. ISBN: 978-3-031-20360-2. Springer. Chapter 12. s 297 - 310.
  • Gupta, Aditya; Bringsdal, Even; Knausgård, Kristian Muri; Goodwin, Morten (2022). Accurate Wound and Lice Detection in Atlantic Salmon Fish Using a Convolutional Neural Network. Fishes. ISSN: 2410-3888. 7 (6). doi:10.3390/fishes7060345.
  • Gupta, Aditya; Bringsdal, Even; Salbuvik, Nicole; Knausgård, Kristian Muri; Goodwin, Morten (2022). An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022. ISBN: 978-3-031-08222-1. Springer Nature. Chapter. s 139 - 149.
  • Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten (2022). An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning. Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers. ISBN: 978-3-031-10524-1. Springer. chapter. s 367 - 379.
  • Lien, Henrik; Biermann, Daniel; Palumbo, Fabrizio; Goodwin, Morten (2022). An Exploration of Semi-supervised Text Classification. Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022. ISBN: 978-3-031-08222-1. Springer Nature. Konferanseartikkel. s 477 - 488.
  • Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (2022). Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control. Journal of Cleaner Production. ISSN: 0959-6526. 380 (2). doi:10.1016/j.jclepro.2022.134676.
  • Giri, Charul; Sharma, Jivitesh; Goodwin, Morten (2022). Brain Tumour Segmentation on 3D MRI Using Attention V-Net. Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. ISBN: 978-3-031-08223-8. Springer Nature. Chapter. s 336 - 348.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2022). CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. 2022 IEEE Conference on Games (CoG). ISBN: 978-1-6654-5989-1. IEEE conference proceedings. Chapter. s 361 - 368.
  • Fernandez Quilez, Alvaro; Eftestøl, Trygve Christian; Kjosavik, Svein Reidar; Goodwin, Morten; Oppedal, Ketil (2022). Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. IEEE International Symposium on Biomedical Imaging. ISSN: 1945-7928. doi:10.1109/ISBI52829.2022.9761573.
  • Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten (2022). Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars. Informatics. ISSN: 2227-9709. 9 (2). doi:10.3390/informatics9020033.
  • Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2022). Evaluating Anomaly Detection Algorithms through different Grid scenarios using k-Nearest Neighbor, iforest and Local Outlier Factor. 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech). ISBN: 978-1-6654-8828-0. IEEE conference proceedings. chapter.
  • Meng, Li; Yazidi, Anis; Goodwin, Morten; Engelstad, Paal (2022). Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. Proceedings of the Northern Lights Deep Learning Workshop. doi:10.7557/18.6237.
  • Kalhagen, Espen Stausland; Olsen, Ørjan Langøy; Goodwin, Morten; Gupta, Aditya (2022). Hierarchical Object Detection applied to Fish Species. Nordic Machine Intelligence (NMI). ISSN: 2703-9196. 2 (1). s 1 - 15. doi:10.5617/nmi.9452.
  • Szabo, Vera; Ebrahimi, Saeed Hasan; Choux, Martin Marie Hubert; Goodwin, Morten (2022). ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs. Engineering Applications of Neural Networks - 18th International Conference, EANN 2017. ISBN: 978-3-319-65171-2. Springer. Chapter. s 177 - 189.
  • Gupta, Rashmi; engen, martin; Sandø, Erik; Sjølander, Benjamin Lucas Oscar; Arenberg, Simon; Goodwin, Morten (2022). Implementation of Neural Networks to Predict Crop Yield Production in Norwegian Agriculture. 18th International Conference on Machine Learning and Data Mining, MLDM 2022. ISBN: 978-3-942952-93-4. IBAI Publishing. Chapter. s 17 - 31.
  • Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal (2022). Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. IEEE Transactions on Games (TG). ISSN: 2475-1502. 15 (4). s 580 - 589. doi:10.1109/TG.2022.3185330.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Goodwin, Morten; Webersik, Christian (2022). Label-Critic Tsetlin Machine: A Novel Self-supervised Learning Scheme for Interpretable Clustering. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 41 - 48.
  • Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2022). Load prediction of rural area Nordic holiday resorts for microgrid development. Residential Microgrids and Rural Electrifications. ISBN: 978-0-323-90177-2. Academic Press. Chapter 8. s 163 - 181.
  • Jyhne, Sander; Goodwin, Morten; Andersen, Per-Arne; Oveland, Ivar; Nossum, Alexander Salveson; Ormseth, Karianne Øydegard; Ørstavik, Mathilde; Flatman, Andrew C. (2022). MapAI: Precision in BuildingSegmentation. Nordic Machine Intelligence (NMI). ISSN: 2703-9196. 2s 1 - 3. doi:10.5617/nmi.9849.
  • Fernandez Quilez, Alvaro; Eftestøl, Trygve Christian; Kjosavik, Svein Reidar; Goodwin, Morten; Oppedal, Ketil (2022). Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. IEEE International Symposium on Biomedical Imaging. ISSN: 1945-7928. doi:10.1109/ISBI52829.2022.9761514.
  • Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2022). Recurrent neural networks for electrical load forecasting to use in demand response. Industrial Demand Response: Methods, best practices, case studies, and applications. ISBN: 9781839535628. IET Digital Library. Chapter 3. s 41 - 58.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2022). Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. ISBN: 978-1-956792-00-3. AAAI Press. Chapter. s 4439 - 4446.
  • Dutt, Micheal; Redhu, Surender; Goodwin, Morten; Omlin, Christian Walter Peter (2022). Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom). ISBN: 978-1-6654-8016-1. IEEE conference proceedings. Konferanseartikkel. s 94 - 99.
  • Dutt, Micheal; Redhu, Surender; Goodwin, Morten; Omlin, Christian Walter Peter (2022). SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. Applied intelligence (Boston). ISSN: 0924-669X. doi:10.1007/s10489-022-04357-8.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (2022). Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. ISSN: 2159-5399. s 11801 - 11809. doi:10.1609/aaai.v36i11.21436.
  • Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (2022). Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. ICES Journal of Marine Science. ISSN: 1054-3139. 79 (2). s 319 - 336. doi:10.1093/icesjms/fsab255.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Lei, Jiao; Wheeldon, Adrian; Yakovlev, Alex; Lei, Jie; Goodwin, Morten (2021). A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12836.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Zadorozhny, Vladimir; Goodwin, Morten (2021). A relational Tsetlin Machine with applications to natural language understanding. Journal of Intelligent Information Systems. ISSN: 0925-9902. doi:10.1007/s10844-021-00682-5.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line. Electronics (Basel). ISSN: 2079-9292. 10 (17). doi:10.3390/electronics10172107.
  • Dutt, Micheal; Goodwin, Morten; Omlin, Christian Walter Peter (2021). Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. Proceedings of the International Joint Conference on Neural Networks. ISSN: 2161-4393. doi:10.1109/IJCNN52387.2021.9533542.
  • Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2021). Comparing recurrent neural networks using principal component analysis for electrical load predictions. 2021 6th International Conference on Smart and Sustainable Technologies - SpliTech. ISBN: 978-953-290-112-2. IEEE (Institute of Electrical and Electronics Engineers). chapter.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. 2021 6th International Conference on Machine Learning Technologies. ISBN: 978-1-4503-8940-2. Association for Computing Machinery (ACM). chapter. s 65 - 70.
  • Nunavath, Vimala; Johansen, Sahand; Johannessen, Tommy Sandtorv; Jiao, Lei; Hansen, Bjørge Hermann; Berntsen, Sveinung; Goodwin, Morten (2021). Deep Learning for Classifying Physical Activities from Accelerometer Data. Sensors. ISSN: 1424-8220. 21 (16). doi:10.3390/s21165564.
  • Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Transactions on Systems, Man & Cybernetics. Systems. ISSN: 2168-2216. 51 (12). s 7363 - 7381. doi:10.1109/TSMC.2020.2967936.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. ISBN: 978-1-955917-06-3. Association for Computational Linguistics. chapter. s 265 - 274.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access. ISSN: 2169-3536. 9s 8233 - 8248. doi:10.1109/ACCESS.2021.3049569.
  • engen, martin; Sandø, Erik; Sjølander, Benjamin Lucas Oscar; Arenberg, Simon; Gupta, Rashmi; Goodwin, Morten (2021). Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks. Agronomy. ISSN: 2073-4395. 11 (12). doi:10.3390/agronomy11122576.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. ISSN: 2159-5399. s 14203 - 14212.
  • Fernandez Quilez, Alvaro; Larsen, Steinar Valle; Goodwin, Morten; Gulsrud, Thor Ole; Kjosavik, Svein Reidar; Oppedal, Ketil (2021). Improving prostate whole gland segmentation in T2-weighted MRI with synthetically generated data. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). ISBN: 9781665412469. IEEE conference proceedings. Artikkel. s 1915 - 1919.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Interpretability in Word Sense Disambiguation using Tsetlin Machine. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021). ISBN: 978-989-758-484-8. SciTePress. chapter. s 402 - 409.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (2021). Learning Automata-based Misinformation Mitigation via Hawkes Processes. Information Systems Frontiers. ISSN: 1387-3326. 23s 1169 - 1188. doi:10.1007/s10796-020-10102-8.
  • Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (2021). Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. Proceedings of Machine Learning Research (PMLR). ISSN: 2640-3498.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. doi:10.1007/978-3-030-91100-3_12.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2021). ORACLE: End-to-End Model Based Reinforcement Learning. Artificial Intelligence XXXVIII, 41st SGAI International Conference on Artificial Intelligence. ISBN: 978-3-030-91099-0. Springer. chapter.
  • Zhang, Xuan; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). On the convergence of Tsetlin machines for the IDENTITY- and NOT operators. IEEE Transactions on Pattern Analysis and Machine Intelligence. ISSN: 0162-8828. 44 (10). s 6345 - 6359. doi:10.1109/TPAMI.2021.3085591.
  • Yadav, Rohan Kumar; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (2021). Positionless aspect based sentiment analysis using attention mechanism.. Knowledge-Based Systems. ISSN: 0950-7051. 226doi:10.1016/j.knosys.2021.107136.
  • Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Halvorsen, Kim Tallaksen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (2021). Temperate fish detection and classification: a deep learning based approach. Applied intelligence (Boston). ISSN: 0924-669X. doi:10.1007/s10489-020-02154-9.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12873.
  • Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (2020). A Deep Reinforcement Learning scheme for Battery Energy Management. 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech). ISBN: 978-953290105-4. IEEE Press. 9243797. s 1 - 6.
  • Abeyrathna, Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Yakovlev, Alex; Wheeldon, Adrian; Lei, Jie; Goodwin, Morten (2020). A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI 2020: Artificial Intelligence XXXVII. ISBN: 9783030637989. Springer. Konferanseartikkel. s 108 - 122.
  • Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Pardiñas, Ángel Á.; Hafner, Armin; Kolhe, Mohan Lal (2020). ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse. Journal of Cleaner Production. ISSN: 0959-6526. 260s 1 - 10. doi:10.1016/j.jclepro.2020.120887.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Goodwin, Morten (2020). Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-7281-2547-3. IEEE. chapter. s 2084 - 2092.
  • Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (2020). Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow. Cognitive Neurodynamics. ISSN: 1871-4080. 14s 675 - 687. doi:10.1007/s11571-020-09624-3.
  • Giri, Charul; Goodwin, Morten; Oppedal, Ketil (2020). Deep 3D Convolution Neural Network for Alzheimer’s Detection. Machine Learning, Optimization, and Data Science. ISBN: 978-3-030-64582-3. Springer. chapter. s 347 - 358.
  • Goodwin, Morten; Yazidi, Anis (2020). Distributed learning automata-based scheme for classification using novel pursuit scheme. Applied intelligence (Boston). ISSN: 0924-669X. 50 (7). s 2222 - 2238. doi:10.1007/s10489-019-01627-w.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Emergency Detection with Environment Sound Using Deep Convolutional Neural Networks. Proceedings of Fifth International Congress on Information and Communication Technology. ISBN: 978-981-15-5858-0. Springer Nature. 14. s 144 - 154.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network. Interspeech (USB). ISSN: 2308-457X. s 1186 - 1190. doi:10.21437/Interspeech.2020-1303.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12537.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Increasing sample efficiency in deep reinforcement learningusing generative environment modelling. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12537.
  • Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Glimsdal, Sondre; Edwards, Jonathan; Goodwin, Morten (2020). Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices.. ISBN: 978-3-030-55789-8. Springer Nature. paper. s 695 - 708.
  • Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Indoor Space Classification Using Cascaded LSTM. IEEE Conference on Industrial Electronics and Applications. ISSN: 2158-2297. s 1110 - 1114. doi:10.1109/ICIEA48937.2020.9248347.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Integer Weighted Regression Tsetlin Machines. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices.. ISBN: 978-3-030-55789-8. Springer Nature. chapter. s 686 - 694.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI 2020: Artificial Intelligence XXXVII. ISBN: 9783030637989. Springer.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2020). On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-7281-2547-3. IEEE. chapter. s 662 - 669.
  • Holen, Martin; Saha, Rupsa; Goodwin, Morten; Omlin, Christian Walter Peter; Sandsmark, Knut Eivind (2020). Road Detection for Reinforcement Learning Based Autonomous Car. ICISS 2020: Proceedings of the 2020 The 3rd International Conference on Information Science and System. ISBN: 978-1-4503-7725-6. ACM Publications. Chapter. s 67 - 71.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. Machine Learning, Optimization, and Data Science: 6th International Conference, LOD 2020. ISBN: 978-3-030-64579-3. Springer Nature. chapter. s 169 - 180.
  • Lazreg, Mehdi Ben; Anjum, Usman; Zadorozhny, Vladimir; Goodwin, Morten (2020). Semantic Decay Filter for Event Detection. ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. ISBN: 978-1-949373-27-1. Virginia Tech. chapter. s 14 - 26.
  • Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2020). Smart load prediction analysis for distributed power network of Holiday Cabins in Norwegian rural area. Journal of Cleaner Production. ISSN: 0959-6526. 266doi:10.1016/j.jclepro.2020.121423.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Towards safe reinforcement-learning in industrial grid-warehousing. Information Sciences. ISSN: 0020-0255. 537s 467 - 484. doi:10.1016/j.ins.2020.06.010.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Goodwin, Morten (2019). A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. Advances and Trends in Artificial Intelligence. From Theory to Practice.. ISBN: 978-3-030-22999-3. Springer Nature. paper. s 564 - 578.
  • Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2019). An Iterative Information Retrieval Approach from Social Media in Crisis Situations. 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). ISBN: 978-1-7281-4920-2. IEEE conference proceedings. chapter.
  • Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2019). Deregulated Electric Energy Price Forecasting in NordPool Market using Regression Techniques. 2019 IEEE Sustainable Power and Energy Conference (iSPEC). ISBN: 978-1-7281-4931-8. IEEE conference proceedings. Full length article. s 1932 - 1938.
  • Jafari, Raheleh; Razvarz, Sina; Yu, Wen; Gegov, Alexander; Goodwin, Morten; Adda, Mo (2019). Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. Intelligent Systems and Applications. IntelliSys 2019. ISBN: 978-3-030-29515-8. Springer. chapter. s 228 - 236.
  • Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2019). Load Demand Analysis of Nordic Rural Area with Holiday Resorts for Network Capacity Planning. 2019 4thInternational Conference on Smart and Sustainable Technologies(SpliTech). ISBN: 978-953-290-091-0. IEEE. chapter.
  • Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (2019). Modelling of Compressors in an Industrial CO 2-Based Operational Cooling System Using ANN for Energy Management Purposes. Engineering Applications of Neural Networks. EANN 2019.. ISBN: 978-3-030-20256-9. Springer. chapter.
  • Lazreg, Mehdi Ben; Noori, Nadia Saad; Comes, Tina; Goodwin, Morten (2019). Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers. 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2019). ISBN: 978-1-4503-6934-3. Association for Computing Machinery (ACM). chapter. s 378 - 382.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Lei, Jiao; Goodwin, Morten (2019). The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. Progress in Artificial Intelligence. EPIA 2019. ISBN: 978-3-030-30244-3. Springer. chapter. s 268 - 280.
  • Nunavath, Vimala; Goodwin, Morten (2019). The Use of Artificial Intelligence in Disaster Management - A Systematic Literature Review. 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). ISBN: 978-1-7281-4920-2. IEEE conference proceedings. chapter.
  • Dutt, Micheal; Nunavath, Vimala; Goodwin, Morten (2018). A Multi-Layer Feed Forward Neural Network Approach for Diagnosing Diabetes. 11th International Conference on Developments in eSystems Engineering (DeSE). ISBN: 978-1-5386-6712-5. IEEE conference proceedings. KAPITTEL. s 300 - 305.
  • Følstad, Asbjørn; Araujo, Theo; Papadopoulos, Symeon; Law, Effie L.-C.; Luger, Ewa; Goodwin, Morten; Brandtzæg, Petter Bae (2023). Chatbot Research and Design: 6th International Workshop, CONVERSATIONS 2022, Amsterdam, The Netherlands, November 22–23, 2022, Revised Selected Papers. ISBN: 978-3-031-25581-6. Springer. s 211.
  • Følstad, Asbjørn; Araujo, Theo; Papadopoulos, Symeon; Law, Effie L.-C.; Luger, Ewa; Goodwin, Morten; Brandtzæg, Petter Bae (2022). Chatbot Research and Design: 5th International Workshop, CONVERSATIONS 2021, Virtual Event, November 23–24, 2021, Revised Selected Papers. ISBN: 978-3-030-94889-4. Springer Nature. s 209.
  • Følstad, Asbjørn; Araujo, Theo; Papadopoulos, Symeon; Law, Effie Lai-Chong; Luger, Ewa; Goodwin, Morten; Brandtzæg, Petter Bae (2021). Chatbot Research and Design: 4th International Workshop, CONVERSATIONS 2020, Virtual Event, November 23–24, 2020, Revised Selected Papers.. ISBN: 978-3-030-68287-3. Springer. s 219.
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