Norwegian version
Morten Goodwin

Morten Goodwin

Scientific publications

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. 5 p. IEEE International Symposium on Biomedical Imaging .

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. 5 p. IEEE International Symposium on Biomedical Imaging .

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 . Vol. 79.
https://hdl.handle.net/11250/2938707

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. Chapter 8. p. 163-181. Academic Press.
https://www.sciencedirect.com/science/article/pii/...

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) .
https://link.springer.com/chapter/10.1007/978-3-03...

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. chapter. p. 65-70. Association for Computing Machinery (ACM).
https://dl.acm.org/doi/pdf/10.1145/3468891.3468901

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) .
https://hdl.handle.net/11250/2993140

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. chapter. p. 265-274. Association for Computational Linguistics.

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 .
https://hdl.handle.net/11250/2989519

Dutt, Micheal; Goodwin, Morten; Omlin, Christian Walter Peter (2021). Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. 7 p. Proceedings of ... International Joint Conference on Neural Networks .

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 .

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2021). ORACLE: End-to-End Model Based Reinforcement Learning. Bramer, Max; Ellis, Richard (Ed.). Artificial Intelligence XXXVIII, 41st SGAI International Conference on Artificial Intelligence. chapter. Springer.
https://dblp.org/db/conf/sgai/sgai2021.html

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. 31 p. Agronomy . Vol. 11.
https://hdl.handle.net/11250/2980996

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) .
https://link.springer.com/chapter/10.1007/978-3-03...

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. 219 p. Springer.
https://doi.org/10.1007/978-3-030-68288-0

Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Using Tsetlin Machine to discover interpretable rules in natural language processing applications. 12 p. Expert systems .

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. chapter. IEEE.
https://ieeexplore.ieee.org/document/9566357

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. 28 p. Sensors . Vol. 21.
https://hdl.handle.net/11250/2786826

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. 25 p. Electronics . Vol. 10.
https://hdl.handle.net/11250/2787442

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 .

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). Artikkel. p. 1915-1919. IEEE conference proceedings.

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. 14 p. Applied intelligence (Boston) .
https://hdl.handle.net/11250/2764535

Yadav, Rohan Kumar; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (2021). Positionless aspect based sentiment analysis using attention mechanism. 10 p. Knowledge-Based Systems . Vol. 226.

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 .
https://ojs.aaai.org/index.php/AAAI/article/view/1...

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access . Vol. 9.

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). chapter. p. 402-409. SciTePress.

Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (2021). Learning Automata-based Misinformation Mitigation via Hawkes Processes. Information Systems Frontiers . Vol. 23.

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 . Vol. 51.
https://hdl.handle.net/11250/2728887

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Increasing sample efficiency in deep reinforcement learningusing generative environment modelling. Expert systems .

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. chapter. p. 169-180. Springer Nature.





These publications are obtained from Cristin. The list may be incomplete