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Office:
A3061 ( Jon Lilletuns vei 9, Grimstad )

Biography:

Teaching:

Supervision:

  • DAT304 Bachelor's Thesis
  • IKT420 Basic Project
  • IKT411 Advanced Seminar
  • IKT508 Specialization Project
  • IKT590 Master's Thesis

Research:

Scientific publications

  • 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.
  • 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.
  • 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, TAI. 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. 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. NIK: Norsk Informatikkonferanse. 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. 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. NIK: Norsk Informatikkonferanse. 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. 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. 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. 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. 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. 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. 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. NIK: Norsk Informatikkonferanse. 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. NIK: Norsk Informatikkonferanse. 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 Press. 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. 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. 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 systems, man and cybernetics. Part B. 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. 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 (2019). Slik fungerer CAIR.
  • Goodwin, Morten (2019). Produksjon + kunstig intelligens = Business.
  • Goodwin, Morten (2019). Kunstig intelligens.
  • Goodwin, Morten (2019). Sannheten om kunstig intelligens i helse.
  • Goodwin, Morten (2019). Sannheten om en rekrutterende kunstig intelligens.
  • Goodwin, Morten (2019). Sannheten om kunstig intelligens.
  • Goodwin, Morten (2019). Slik blir du ekspert på kunstig intelligens.
  • Goodwin, Morten (2019). Sannhet om chatbots med kunstig intelligens.
  • Goodwin, Morten (2019). Slik blir du ekspert på kunstig intelligens.
  • Goodwin, Morten (2019). Hemmeligheten om kunstig intelligens.

Last changed: 19.11.2018 16:11

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