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.
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.
Olsvik, Erlend; Trinh, Christian M.D.; Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (2019). Biometric fish classification of temperate species using convolutional neural network with squeeze-and-excitation. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11606 LNAIs 89 - 101. doi:10.1007/978-3-030-22999-3_9.
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.
Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten (2019). Relative evaluation of regression tools for urban area electrical energy demand forecasting. Journal of Cleaner Production. ISSN: 0959-6526. 218s 555 - 564. doi:10.1016/j.jclepro.2019.01.108.
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.
Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Goodwin, Morten; Lei, Jiao; Matheussen, Bernt Viggo (2019). Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. IEEE Access. ISSN: 2169-3536. 7doi:10.1109/ACCESS.2019.2935416.
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.
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2018). Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN: 1892-0713.
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.
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.
Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2016). Deep Learning for Social Media Analysis in Crises Situations. The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS). ISBN: 978-91-7685-720-5. Linköping University Electronic Press. Kapittel. s 31 - 36.
Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller (2016). Distributed learning automata for solving a classification task. 2016 IEEE Congress on Evolutionary Computation, IEEE World Congrees on Computational Intelligence 2016. ISBN: 978-1-5090-0622-9. IEEE conference proceedings. chapter. s 3999 - 4006.
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.
Goodwin, Morten; Auby, Christian; Andersen, Rune; Barstad, Vera (2015). Educating Programming Students for the Industry. Digital Media in Teaching and its Added Value. ISBN: 978-3-8309-3287-1. Waxmann Verlag. Kapittel. s 100 - 118.
Yazidi, Anis; Oommen, John; Goodwin, Morten (2015). On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015, Volume II.. ISBN: 978-1-4673-9618-9. IEEE. Volume II. s 104 - 111.
Yazidi, Anis; Oommen, John; Granmo, Ole-Christoffer; Goodwin, Morten (2014). On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. 17th IEEE International Conference on Computational Science and Engineering, CSE 2014. ISBN: 978-1-4799-7981-3. IEEE conference proceedings. kapittel. s 32 - 37.
Granmo, Ole-Christoffer; Radianti, Jaziar; Goodwin, Morten; Dugdale, Julie Anne; Sarshar, Parvaneh; Glimsdal, Sondre; Gonzalez, Jose J (2013). A Spatio-Temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning. Recent Trends in Applied Artificial Intelligence. ISBN: 978-3-642-38576-6. Springer. kapittel. s 63 - 72.
Goodwin, Morten (2013). Towards Automatic Assessment of Government Web Sites. Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics WIMS'13. ISBN: 978-1-4503-1850-1. Association for Computing Machinery (ACM). kapittel.
Barstad, Vera; Shulgin, Volodymyr; Goodwin, Morten; Gjøsæter, Terje (2013). Towards a Collaborative Code Review Plugin. Norsk informatikkonferanse NIK 2013, Universitetet i Stavanger, 18. - 20.november 2013. ISBN: 978-82-321-0365-2. Akademika forlag. Kapittel. s 37 - 40.
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.
Goodwin, Morten; Bentzen, Heidi Beate; Spears, Brian (2022). Law and Ethics.
Goodwin, Morten (2022). Et glimt inn i fremtidens bærekraftige internett.