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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:

 

 

Scientific publications

  • 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.
  • 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. 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.
  • Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Transactions on Systems, Man & Cybernetics. Systems. ISSN: 2168-2216. doi:10.1109/TSMC.2020.2967936.
  • Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller (2019). Distributed Learning Automata-based S-learning scheme for classification. Pattern Analysis and Applications. ISSN: 1433-7541. doi:10.1007/s10044-019-00848-6.
  • 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.
  • 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.
  • 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.
  • Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Phoulady, Adrian; Goodwin, Morten (2019). A Tsetlin Machine with Multigranular Clauses. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. doi:10.1007/978-3-030-34885-4_11.
  • 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.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (2019). Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis. Proceedings of the [xx]th Conference of Open Innovations Association FRUCT. ISSN: 2305-7254. doi:10.23919/FRUCT48121.2019.8981500.
  • 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.
  • 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.
  • Granmo, Ole-Christoffer; Glimsdal, Sondre; Lei, Jiao; Goodwin, Morten; Omlin, Christian; Berge, Geir Thore (2019). The Convolutional Tsetlin Machine. arXiv.org. ISSN: 2331-8422.
  • 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.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Lei, Jiao; Goodwin, Morten (2019). The regression Tsetlin machine: a novel approach to interpretable nonlinear regression. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. ISSN: 1364-503X. doi:10.1098/rsta.2019.0165.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Towards Model-Based Reinforcement Learning for Industry-Near Environments. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11927 LNAIs 36 - 49. doi:10.1007/978-3-030-34885-4_3.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Towards Model-based Reinforcement Learning for Industry-near Environments. arXiv.org. ISSN: 2331-8422.
  • 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.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2018). A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI). ISSN: 1082-3409. 2018-Novembers 680 - 685. doi:10.1109/ICTAI.2018.00108.
  • 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.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2018). Deep CNN-ELM Hybrid Models for Fire Detection in Images. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. LNCS 11141s 245 - 259. doi:10.1007/978-3-030-01424-7_25.
  • 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.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2018). The dreaming variational autoencoder for reinforcement learning environments. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11311 LNAIs 143 - 155. doi:10.1007/978-3-030-04191-5_11.
  • Kamphaug, Åsmund; Granmo, Ole-Christoffer; Goodwin, Morten; Zadorozhny, Vladimir (2018). Towards Open Domain Chatbots — A GRU Architecture for Data Driven Conversations. Internet Science - INSCI 2017 International Workshops IFIN, DATA ECONOMY, DSI, and CONVERSATIONS - LNCS10750. ISBN: 978-3-319-77546-3. Springer Nature. Workshop paper. s 2013 - 2022.
  • 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.
  • Ølberg, Jan-Vidar; Goodwin, Morten (2017). Automated Dental Identification with Lowest Cost Path-Based Teeth and Jaw Separation. Scandinavian Journal of Forensic Science (Online). ISSN: 2353-0707. doi:10.1515/sjfs-2016-0008.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten; Fidje, Jahn Thomas (2017). Deep convolutional neural networks for fire detection in images. Communications in Computer and Information Science. ISSN: 1865-0929. 744s 183 - 193. doi:10.1007/978-3-319-65172-9_16.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2017). FlashRL: A Reinforcement Learning Platform for Flash Games. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN: 1892-0713.
  • Yazidi, Anis; Oommen, John; Goodwin, Morten (2017). Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 10604s 741 - 753. doi:10.1007/978-3-319-69179-4_52.
  • Goodwin, Morten; Tufteland, Torry; Ødesneltvedt, Guro; Yazidi, Anis (2017). PolyACO+: a multi-level polygon-based ant colony optimisation classifier. Swarm Intelligence. ISSN: 1935-3812. 11 (3-4). s 317 - 346. doi:10.1007/s11721-017-0145-6.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2017). Towards a deep reinforcement learning approach for tower line wars. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 10630 LNAIs 101 - 114. doi:10.1007/978-3-319-71078-5_8.
  • 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.
  • Goodwin, Morten; Yazidi, Anis (2016). A pattern recognition approach for peak prediction of electrical consumption. Integrated Computer-Aided Engineering. ISSN: 1069-2509. 23 (2). s 101 - 113. doi:10.3233/ICA-160510.
  • 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; Yazidi, Anis (2016). Ant colony optimisation-based classification using two-dimensional polygons. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 9882 LNCSs 53 - 64. doi:10.1007/978-3-319-44427-7_5.
  • 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.
  • Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2016). Information abstraction from crises related tweets using recurrent neural network. IFIP Advances in Information and Communication Technology. ISSN: 1868-4238. 475s 441 - 452. doi:10.1007/978-3-319-44944-9_38.
  • Yazidi, Anis; Oommen, John; Goodwin, Morten (2016). On solving the problem of identifying unreliable sensors without a knowledge of the ground truth: the case of stochastic environments. IEEE Transactions on Cybernetics. ISSN: 2168-2267. 47 (7). s 1604 - 1617. doi:10.1109/TCYB.2016.2552979.
  • Tufteland, Torry; Ødesneltvedt, Guro; Goodwin, Morten (2016). Optimizing PolyACO training with GPU-based parallelization. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 9882 LNCSs 233 - 240. doi:10.1007/978-3-319-44427-7_20.
  • 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.
  • Tollisen, Robin; Jansen, Jon Vegard; Goodwin, Morten; Glimsdal, Sondre (2015). AIs for dominion using monte-carlo tree search. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 9101s 43 - 52. doi:10.1007/978-3-319-19066-2_5.
  • 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.
  • Lian, Thomas Andreé; Llave, Marilex Rea; Goodwin, Morten; Bouhmala, Nourddine (2015). Towards multilevel ant colony optimisation for the Euclidean symmetric traveling salesman problem. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 9101s 222 - 231. doi:10.1007/978-3-319-19066-2_22.
  • Goodwin, Morten; Yazidi, Anis (2014). A Pattern Recognition Approach for Peak Prediction of Electrical Consumption. Artificial Intelligence Applications and Innovations. 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014, Proceedings. ISBN: 978-3-662-44653-9. Springer. Kapittel. s 265 - 275.
  • Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John; Goodwin, Morten (2014). A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme. IEEE Transactions on Cybernetics. ISSN: 2168-2267. 44 (11). s 2202 - 2220. doi:10.1109/TCYB.2014.2303712.
  • Radianti, Jaziar; Granmo, Ole-Christoffer; Sarshar, Parvaneh; Goodwin, Morten; Dugdale, Julie Anne; Gonzalez, Jose J (2014). A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters. Applied intelligence (Boston). ISSN: 0924-669X. 42 (1). s 3 - 23. doi:10.1007/s10489-014-0583-4.
  • Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar (2014). Escape planning in realistic fire scenarios with Ant Colony Optimisation. Applied intelligence (Boston). ISSN: 0924-669X. 42 (1). s 24 - 35. doi:10.1007/s10489-014-0538-9.
  • Karlsen, Lasse; Goodwin, Morten (2014). Evaluating prediction models for electricity consumption. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN: 1892-0713. 2014
  • Evensen, John Daniel; Lindahl, Sindre; Goodwin, Morten (2014). File-type Detection Using Naïve Bayes and n-gram Analysis. Norsk Informasjonssikkerhetskonferanse (NISK). ISSN: 1893-6563.
  • 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.
  • Barstad, Vera; Goodwin, Morten; Gjøsæter, Terje (2014). Predicting Source Code Quality with Static Analysis and Machine Learning. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN: 1892-0713. 2014
  • 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; Granmo, Ole-Christoffer; Radianti, Jaziar; Sarshar, Parvaneh; Glimsdal, Sondre (2013). Ant Colony Optimisation for Planning Safe Escape Routes. Recent Trends in Applied Artificial Intelligence. ISBN: 978-3-642-38576-6. Springer. kapittel. s 53 - 62.
  • 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.
  • Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John; Goodwin, Morten (2012). A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem. Advanced Research in Applied Artificial Intelligence : 25th International Conference 25th International Conference on Industrial Engineering and OtherApplications of Applied Intelligent Systems, IEA/AIE 2012 Dalian, China, June 9-12, 2012 Proceedings. ISBN: 978-3-642-31086-7. Springer. Kapittel. s 774 - 783.
  • Goodwin, Morten; Iain, Sutherland; Roarson, Frode; Drange, Tom (2012). Assessing the Accessibility of E-learning. NOKOBIT 2012 :Universitetet i Nordland 19. - 21. november 2012 : Norsk konferanse for organisasjoners bruk av informasjonsteknologi. ISBN: 978-82-321-0185-6. Akademika forlag. Kapittel. s 145 - 158.
  • Nietzio, Annika; Eibegger, Mandana; Goodwin, Morten; Snaprud, Mikael (2012). Following the WCAG 2.0 Techniques: Experiences from Designing a WCAG 2.0 Checking Tool. Computers Helping People with Special Needs 13th International Conference, ICCHP 2012, Linz, Austria, July 11-13, 2012, Proceedings, Part I. ISBN: 978-3-642-31521-3. Springer Science+Business Media B.V.. Kapittel. s 417 - 424.
  • Goodwin, Morten (2011). A solution to the exact match on rare item searches. Proceedings of WIMS '11, International Conference on Web Intelligence, Mining. ISBN: 978-1-4503-0148-0. ACM Publications. Kapittel.
  • Nietzio, Annika; Olsen, Morten Goodwin; Snaprud, Mikael Odd H. (2010). Accessibility of eGovernment web sites: Towards a collaborative retrofitting approach. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 6179
  • Olsen, Morten Goodwin; Snaprud, Mikael Odd H.; Nietzio, Annika (2010). Automatic Checking of Alternative Texts on Web Pages. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 6179
  • Berntzen, Lasse; Olsen, Morten Goodwin (2009). Benchmarking e-government : A comparative review of three international benchmarking studies. The Third International Conference on the Digital Society (ICDS 2009). IEEE. s 77 - 82.
  • Ulltveit-Moe, Nils; Olsen, Morten Goodwin; Pillai, Anand Balachandran; Thomsen, Christian; Gjøsæter, Terje; Snaprud, Mikael Odd H. (2008). Architecture for large-scale automatic web accessibility evaluation based on the UWEM methodology. Norsk informatikkonferanse : NIK 2008. Tapir Akademisk Forlag. s 95 - 106.
  • Granmo, Ole-Christoffer; Myrer, Svein Arild; Oommen, B. John; Olsen, Morten Goodwin (2007). Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation. IEEE Transactions on Cybernetics. ISSN: 1083-4419. 37 (1). s 166 - 175.
  • Snaprud, Mikael Odd H.; Ulltveit-Moe, Nils; Balachandran, Anand Pillai; Olsen, Morten Goodwin (2006). A proposed architecture for large scale web accessibility assessment. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 4061s 234 - 241.
  • Granmo, Ole-Christoffer; Oommen, B. John; Myrer, Svein Arild; Olsen, Morten Goodwin (2006). Determining Optimal Polling Frequency Using a Learning Automata-based Solution to the Fractional Knapsack Problem. IEEE International Conference on Cybernetics and Intelligent Systems (CIS 2006). IEEE.
  • Goodwin, Morten; Fidje, Jahn Thomas; Haraldseid, Christian Kråkevik; Granmo, Ole Christoffer; Matheussen, Bernt Viggo (2001). A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. Lecture Notes In Computer Science. ISBN: 3540425748. Springer Verlag. https://doi.org/10.1007/978-3-319-71078-5_15.
  • Goodwin, Morten (2020). Innledning: Postkorona: Er statilg overvåking den nye normalen?.
  • Jemterud, Torkild; Danielsen, Anne; Brodal, Per; Løvvik, Ole Martin; Goodwin, Morten; Knudsen, Pål Moddi (2020). Abels tårn: En følsom AI tester visesang.
  • Goodwin, Morten (2020). Elon Musk og NeuraLink.
  • Goodwin, Morten (2020). En følsom AI tester visesang.
  • Goodwin, Morten (2020). Ekspert om veiovervåking.
  • Goodwin, Morten (2020). Ulovlig registrering av mobiltelefoner.
  • Goodwin, Morten (2020). Disney laver første deepfakes i megapixel-opløsning.

Sectors

Research groups

Last changed: 8.09.2020 08:09