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.
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.
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.
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. 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 (2022). MapAI: Precision in BuildingSegmentation. Nordic Machine Intelligence (NMI). ISSN: 2703-9196.
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). 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.
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. ISSN: 2079-9292. 10 (17). doi:10.3390/electronics10172107.
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; 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.
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.
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.
Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Combining a context aware neural network with a denoising autoencoder for measuring string similarities. Computer Speech and Language. ISSN: 0885-2308. 60doi:10.1016/j.csl.2019.101028.
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.
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.
Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2019). A Neural Turing~Machine for Conditional Transition Graph Modeling. arXiv.org. ISSN: 2331-8422.
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.
Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. arXiv.org. ISSN: 2331-8422. doi:10.1109/tsmc.2020.2967936.
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.
Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks. arXiv.org. ISSN: 2331-8422.
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.
Sharma, Jivitesh; Giri, Charul; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP Journal on Information Security. ISSN: 2510-523X. 2019 (1). doi:10.1186/s13635-019-0098-y.
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.
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Towards Model-based Reinforcement Learning for Industry-near Environments. arXiv.org. ISSN: 2331-8422. doi:10.1007/978-3-030-34885-4_3.
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.
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2018). Comparison of Regression Tools for Regional Electric Load Forecasting. 2018 3rd INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH) - IEEE. ISBN: 978-953-290-083-5. IEEE. Article. s 304 - 309.
Nunavath, Vimala; Goodwin, Morten; Fidje, Jahn Thomas; Moe, Carl Erik (2018). Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. 19th International Conference on Engineering Applications of Neural Networks. ISBN: 978-3-319-98203-8. Springer Publishing Company. Chapter. s 217 - 228.
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2018). Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. 2018 IEEE Conference on Computational Intelligence and Games (CIG). ISBN: 978-1-5386-4359-4. IEEE conference proceedings. chapter.
Svendsen, Arne Brufladt; Tollefsen, Trond; Gjengedal, Terje; Goodwin, Morten; Antonsen, Stian (2018). Digitalization of the power business: How to make this work?. Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway. ISBN: 9781351174657. CRC Press. Chapter 316. s 2513 - 2520.
Albrigtsen, Svein Inge; Imenes, Alexander; Goodwin, Morten; Lei, Jiao; Nunavath, Vimala (2018). Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. 19th International Conference on Engineering Applications of Neural Networks. ISBN: 978-3-319-98203-8. Springer Publishing Company. 8. s 94 - 105.
Nunavath, Vimala; Goodwin, Morten (2018). The Role of Artificial Intelligence in Social Media Big data Analytics for Disaster Management - Initial Results of a Systematic Literature Review. 2018 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). ISBN: 978-1-5386-6638-8. IEEE conference proceedings. chapter.
Fidje, Jahn Thomas; Granmo, Ole-Christoffer; Haraldseid, Christian Kråkevik; Goodwin, Morten; Matheussen, Bernt Viggo (2017). A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. Artificial Intelligence XXXIV: 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings. ISBN: 978-3-319-71077-8. Springer Publishing Company. Artikkel.
Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2017). Vector Representation of Non-standard Spellings Using Dynamic Time Wrapping and a Denoising Autoencoder. 2017 IEEE Congress on Evolutionary Computation (CEC). ISBN: 978-1-5090-4601-0. IEEE conference proceedings. chapter. s 1444 - 1450.
Andersen, Per-Arne; Haraldseid, Christian Kråkevik; Goodwin, Morten; Yazidi, Anis (2016). Adaptive Task Assignment in Online Learning Environments. Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016. ISBN: 978-1-4503-4056-4. Association for Computing Machinery (ACM). Article No. 5. s 1 - 10.
Goodwin, Morten; Drange, Tom (2016). Teaching Programming to Large Student Groups through Test Driven Development - Comparing Established Methods with Teaching based on Test Driven Development. CSEDU 2016 Proceedings of the 8th International Conference on Computer Supported Education, proceedings volume 1. ISBN: 978-989-758-179-3. SciTePress. Volume 2. s 281 - 288.
Hansen, Bjørnar; Loland, Leonard Christopher; Goodwin, Morten; Granmo, Ole-Christoffer (2016). Towards Evacuation Planning of Groups with Genetic Algorithms. The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS). ISBN: 978-91-7685-720-5. Linköping University Electronic Press. 3. s 20 - 30.
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.
Szabo, Vera; Ebrahimi, Saeed Hasan; Choux, Martin Marie Hubert; Goodwin, Morten (2022). ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs.
Goodwin, Morten (2022). Teknologifremtiden er her.
Goodwin, Morten (2022). Career Options in AI.
Goodwin, Morten (2022). Det Teknologiske Menneske.
Goodwin, Morten (2022). Smarte roboter.
Goodwin, Morten (2022). Kunstig intelligens i skolen.