Morten Goodwin

184 papers A* 6A 2B 5C 20Misc 3Journal 75Unranked 69

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking. SIGIR Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum, Aditya Gupta
2025	J	`jnl`	A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking. CoRR Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum, Aditya Gupta
2025	—	`conf`	DESS: Dimensional-PDFs for Embedding Space Sampling. AI (1) Jakob Voigt, Morten Grundetjern, Per-Arne Andersen, Morten Goodwin
2025	—	`conf`	English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance. AI (1) Karl Audun Kagnes Borgersen, Morten Goodwin
2025	J	`jnl`	Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model Agents. CoRR Henrik Brådland, Morten Goodwin, Vladimir I. Zadorozhny, Per-Arne Andersen
2025	—	`conf`	Streamlining Municipal Governance: Detecting Redundancy in Regulation Plans Using Text Embeddings in Local Government. AI (2) Karl Audun Kagnes Borgersen, Morten Goodwin, Alexander Salveson Nossum
2025	J	`jnl`	SuperF: Neural Implicit Fields for Multi-Image Super-Resolution. CoRR Sander Riisøen Jyhne, Christian Igel, Morten Goodwin, Per-Arne Andersen, Serge J. Belongie, Nico Lang
2024	A	`conf`	A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. RecSys Karl Audun Kagnes Borgersen, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma
2024	—	`conf`	A Manifold Representation of the Key in Vision Transformers. CGI (2) Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2024	J	`jnl`	A Manifold Representation of the Key in Vision Transformers. CoRR Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2024	J	`jnl`	An Interpretable Deep Learning-Based Feature Reduction in Video-Based Human Activity Recognition. IEEE Access Micheal Dutt, Morten Goodwin, Christian W. Omlin
2024	—	`ed.`	Chatbot Research and Design - 7th International Workshop, CONVERSATIONS 2023, Oslo, Norway, November 22-23, 2023, Revised Selected Papers CONVERSATIONS Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Sebastian Hobert, Petter Bae Brandtzaeg
2024	—	`conf`	Deep Reinforcement Learning with Swin Transformers. ICDSP Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2024	J	`jnl`	MapAI: Precision in Building Segmentation. CoRR Sander Riisøen Jyhne, Morten Goodwin, Per-Arne Andersen, Ivar Oveland, Alexander Salveson Nossum, Karianne Ormseth, Mathilde Ørstavik, Andrew C. Flatman
2024	J	`jnl`	Maximum Manifold Capacity Representations in State Representation Learning. CoRR Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2024	—	`conf`	NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition. SGAI Conf. (1) Morten Grundetjern, Per-Arne Andersen, Morten Goodwin, Karl Audun Borgersen
2024	—	`conf`	Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction. SGAI Conf. (2) Martin Holen, Jayant Singh, Christian W. Omlin, Jing Zhou, Kristian Muri Knausgård, Morten Goodwin
2024	—	`conf`	PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings. SGAI Conf. (1) Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum
2024	C	`conf`	Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators. ICMLA Martin Holen, Svitlana P. Rogovchenko, Gulshan Noorsumar, Morten Goodwin
2024	A*	`conf`	State Representation Learning Using an Unbalanced Atlas. ICLR Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad
2024	—	`conf`	Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention. SGAI Conf. (1) Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo
2024	—	`conf`	TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution. SGAI Conf. (1) Sander Riisøen Jyhne, Per-Arne Andersen, Ivar Oveland, Morten Goodwin
2024	—	`conf`	Towards Robust Road Quality Detection Using Different Detection Models. AIAI (3) Aayushi Vinod Thantharate, Morten Goodwin, Per-Arne Andersen, Aditya Gupta
2024	J	`jnl`	Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance. J. Comput. Soc. Sci. Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin, Christian Webersik
2024	J	`jnl`	Towards safe and sustainable reinforcement learning for real-time strategy games. Inf. Sci. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2023	—	`conf`	A Contrastive Learning Scheme with Transformer Innate Patches. SGAI Conf. Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland
2023	—	`conf`	A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. NLDL Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma
2023	—	`conf`	A contrastive learning approach for individual re-identification in a wild fish population. NLDL Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen
2023	J	`jnl`	A contrastive learning approach for individual re-identification in a wild fish population. CoRR Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen
2023	J	`jnl`	A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. Expert Syst. J. Knowl. Eng. Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Lei Jiao, Adrian Wheeldon, Alex Yakovlev, Jie Lei, Morten Goodwin
2023	—	`ed.`	Chatbot Research and Design - 6th International Workshop, CONVERSATIONS 2022, Amsterdam, The Netherlands, November 22-23, 2022, Revised Selected Papers CONVERSATIONS Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg
2023	J	`jnl`	Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches. CoRR Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
2023	—	`conf`	CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. SGAI Conf. Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik
2023	J	`jnl`	CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. CoRR Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik
2023	—	`conf`	DeNISE: Deep Networks for Improved Segmentation Edges. AIAI (1) Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen
2023	J	`jnl`	DeNISE: Deep Networks for Improved Segmentation Edges. CoRR Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
2023	—	`conf`	Distinct Sequential Models for Inference Boosting. SGAI Conf. Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen
2023	J	`jnl`	Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders. CoRR Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo
2023	J	`jnl`	Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. IEEE Trans. Games Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad
2023	J	`jnl`	Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning. CoRR Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård, Morten Goodwin
2023	—	`conf`	Natural Language Modeling with the Tsetlin Machine. IEA/AIE (2) Saeed Rahimi Gorji, Ole-Christoffer Granmo, Morten Goodwin
2023	—	`conf`	ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. SGAI Conf. Vetle Nesland Evensen, Gabriel Bergman Henriksen, Sondre Melhus, Ole Steine Olsen, Kristina Haugen, Dag Dolmen, Arne Wiklund, Per-Arne Andersen, Morten Goodwin, Lars Mørch Korslund, Nadia Saad Noori
2023	J	`jnl`	SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. Appl. Intell. Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin
2023	J	`jnl`	State Representation Learning Using an Unbalanced Atlas. CoRR Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2023	—	`conf`	Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. AIAI (2) Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo
2023	J	`jnl`	Unsupervised Representation Learning in Partially Observable Atari Games. CoRR Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2023	—	`conf`	Unsupervised State Representation Learning in Partially Observable Atari Games. CAIP (2) Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2023	J	`jnl`	Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert Syst. J. Knowl. Eng. Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin
2022	J	`jnl`	A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems. CoRR Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma
2022	J	`jnl`	A relational tsetlin machine with applications to natural language understanding. J. Intell. Inf. Syst. Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
2022	C	`conf`	An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. EANN Aditya Gupta, Even Bringsdal, Nicole Salbuvik, Kristian Muri Knausgård, Morten Goodwin
2022	C	`conf`	An Exploration of Semi-supervised Text Classification. EANN Henrik Lien, Daniel Biermann, Fabrizio Palumbo, Morten Goodwin
2022	C	`conf`	Brain Tumour Segmentation on 3D MRI Using Attention V-Net. EANN Charul Giri, Jivitesh Sharma, Morten Goodwin
2022	C	`conf`	CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022	J	`jnl`	CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022	—	`ed.`	Chatbot Research and Design - 5th International Workshop, CONVERSATIONS 2021, Virtual Event, November 23-24, 2021, Revised Selected Papers CONVERSATIONS Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg
2022	—	`conf`	Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. ISBI Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
2022	J	`jnl`	CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022	J	`jnl`	Deep Reinforcement Learning with Swin Transformer. CoRR Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2022	J	`jnl`	Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars. Informatics Martin Holen, Kristian Muri Knausgård, Morten Goodwin
2022	—	`conf`	Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. NLDL Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad
2022	C	`conf`	ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs. EANN Vera Szabo, Saeed Hasan Ebrahimi, Martin Choux, Morten Goodwin
2022	J	`jnl`	Improving the Diversity of Bootstrapped DQN via Noisy Priors. CoRR Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad
2022	J	`jnl`	Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. CoRR Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2022	—	`conf`	Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. NAIS Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo
2022	—	`conf`	Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. ISBI Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
2022	J	`jnl`	On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. IEEE Trans. Pattern Anal. Mach. Intell. Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2022	A*	`conf`	Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. IJCAI Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2022	C	`conf`	Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. HealthCom Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin
2022	A*	`conf`	Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. AAAI Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
2022	J	`jnl`	Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. CoRR Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
2022	J	`jnl`	Temperate fish detection and classification: a deep learning based approach. Appl. Intell. Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Tallaksen Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
2022	C	`conf`	Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. EANN Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård
2021	J	`jnl`	A Relational Tsetlin Machine with Applications to Natural Language Understanding. CoRR Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
2021	—	`conf`	An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning. INTAP Martin Holen, Kristian Muri Knausgård, Morten Goodwin
2021	—	`conf`	An Interpretable Word Sense Classifier for Human Explainable Chatbot. ICAART (Revised Selected Papers) Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	B	`conf`	Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. IJCNN Micheal Dutt, Morten Goodwin, Christian W. Omlin
2021	—	`ed.`	Chatbot Research and Design - 4th International Workshop, CONVERSATIONS 2020, Virtual Event, November 23-24, 2020, Revised Selected Papers CONVERSATIONS Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg
2021	—	`conf`	Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. ICMLT Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Deep Learning for Classifying Physical Activities from Accelerometer Data. Sensors Vimala Nunavath, Sahand Johansen, Tommy Sandtorv Johannessen, Lei Jiao, Bjørge Herman Hansen, Sveinung Berntsen, Morten Goodwin
2021	J	`jnl`	Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Trans. Syst. Man Cybern. Syst. Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Distributed Word Representation in Tsetlin Machine. CoRR Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. IEA/AIE (1) Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. BlackboxNLP@EMNLP Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Expert Q-learning: Deep Q-learning With State Values From Expert Examples. CoRR Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad
2021	J	`jnl`	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2021	A*	`conf`	Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. AAAI Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data. ISBI Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal
2021	J	`jnl`	Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data. CoRR Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal
2021	J	`jnl`	Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Syst. J. Knowl. Eng. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2021	—	`conf`	Interpretability in Word Sense Disambiguation using Tsetlin Machine. ICAART (2) Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Learning Automata-based Misinformation Mitigation via Hawkes Processes. Inf. Syst. Frontiers Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
2021	A*	`conf`	Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. ICML Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav
2021	—	`conf`	Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. SGAI Conf. Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2021	J	`jnl`	Positionless aspect based sentiment analysis using attention mechanism. Knowl. Based Syst. Rohan Kumar Yadav, Lei Jiao, Morten Goodwin, Ole-Christoffer Granmo
2021	J	`jnl`	Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. CoRR Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal
2021	J	`jnl`	Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. CoRR Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao, Kristian Muri Knausgård, Angela Helen Martin, Marta Moyano, Rebekah A. Oomen, Jeppe Have Rasmussen, Tonje Knutsen Sørdalen, Susanna Huneide Thorbjørnsen
2020	J	`jnl`	A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
2020	—	`conf`	A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI Conf. Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
2020	J	`jnl`	A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2020	J	`jnl`	A team of pursuit learning automata for solving deterministic optimization problems. Appl. Intell. Anis Yazidi, Nourredine Bouhmala, Morten Goodwin
2020	—	`conf`	Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. SSCI Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2020	J	`jnl`	Combining a context aware neural network with a denoising autoencoder for measuring string similarities. Comput. Speech Lang. Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2020	—	`conf`	CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020	—	`conf`	Deep 3D Convolution Neural Network for Alzheimer's Detection. LOD (1) Charul Giri, Morten Goodwin, Ketil Oppedal
2020	J	`jnl`	Distributed Learning Automata-based S-learning scheme for classification. Pattern Anal. Appl. Morten Goodwin, Anis Yazidi, Tore Møller Jonassen
2020	J	`jnl`	Distributed learning automata-based scheme for classification using novel pursuit scheme. Appl. Intell. Morten Goodwin, Anis Yazidi
2020	A	`conf`	Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. INTERSPEECH Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
2020	J	`jnl`	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2020	C	`conf`	Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. IEA/AIE Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
2020	J	`jnl`	Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. CoRR Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
2020	C	`conf`	Integer Weighted Regression Tsetlin Machines. IEA/AIE Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2020	—	`conf`	Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020	J	`jnl`	Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. CoRR Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav
2020	—	`conf`	Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI Conf. Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin
2020	—	`conf`	On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. SSCI Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2020	J	`jnl`	On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. CoRR Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2020	Misc	`conf`	Road Detection for Reinforcement Learning Based Autonomous Car. ICISS Martin Holen, Rupsa Saha, Morten Goodwin, Christian W. Omlin, Knut Eivind Sandsmark
2020	—	`conf`	Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020	—	`conf`	Semantic Decay Filter for Event Detection. ISCRAM Mehdi Ben Lazreg, Usman Anjum, Vladimir Zadorozhny, Morten Goodwin
2020	J	`jnl`	Temperate Fish Detection and Classification: a Deep Learning based Approach. CoRR Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
2020	J	`jnl`	Towards safe reinforcement-learning in industrial grid-warehousing. Inf. Sci. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2019	J	`jnl`	A Neural Turing~Machine for Conditional Transition Graph Modeling. CoRR Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2019	C	`conf`	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. IEA/AIE Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2019	J	`jnl`	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2019	—	`conf`	A Tsetlin Machine with Multigranular Clauses. SGAI Conf. Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin
2019	J	`jnl`	A Tsetlin Machine with Multigranular Clauses. CoRR Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin
2019	—	`conf`	An Iterative Information Retrieval Approach from Social Media in Crisis Situations. ICT-DM Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2019	C	`conf`	Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation. IEA/AIE Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
2019	J	`jnl`	Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation. CoRR Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
2019	Misc	`conf`	Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis. FRUCT Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
2019	J	`jnl`	Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. CoRR Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2019	—	`conf`	Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. IntelliSys (1) Raheleh Jafari, Sina Razvarz, Wen Yu, Alexander E. Gegov, Morten Goodwin, Mo Adda
2019	C	`conf`	Modelling of Compressors in an Industrial CO _2 -Based Operational Cooling System Using ANN for Energy Management Purposes. EANN Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, Mohan Lal Kolhe
2019	J	`jnl`	Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP J. Inf. Secur. Jivitesh Sharma, Charul Giri, Ole-Christoffer Granmo, Morten Goodwin
2019	B	`conf`	Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers. WI Mehdi Ben Lazreg, Nadia Saad Noori, Tina Comes, Morten Goodwin
2019	J	`jnl`	The Convolutional Tsetlin Machine. CoRR Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge
2019	—	`conf`	The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. EPIA (2) Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin
2019	J	`jnl`	The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin
2019	—	`conf`	The Use of Artificial Intelligence in Disaster Management - A Systematic Literature Review. ICT-DM Vimala Nunavath, Morten Goodwin
2019	—	`conf`	Towards Model-Based Reinforcement Learning for Industry-Near Environments. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2019	J	`jnl`	Towards Model-based Reinforcement Learning for Industry-near Environments. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2019	J	`jnl`	Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. IEEE Access Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen
2018	C	`conf`	A Multi-layer Feed Forward Neural Network Approach for Diagnosing Diabetes. DeSE Micheal Dutt, Vimala Nunavath, Morten Goodwin
2018	B	`conf`	A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. ICTAI Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2018	J	`jnl`	Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities. CoRR Mehdi Ben Lazreg, Morten Goodwin
2018	—	`conf`	Deep CNN-ELM Hybrid Models for Fire Detection in Images. ICANN (3) Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
2018	C	`conf`	Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. EANN Vimala Nunavath, Morten Goodwin, Jahn Thomas Fidje, Carl Erik Moe
2018	—	`conf`	Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CIG Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	J	`jnl`	Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	—	`conf`	Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks. NIK Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2018	J	`jnl`	FlashRL: A Reinforcement Learning Platform for Flash Games. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	C	`conf`	Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. EANN Svein Inge Albrigtsen, Alexander Imenes, Morten Goodwin, Lei Jiao, Vimala Nunavath
2018	—	`conf`	The Dreaming Variational Autoencoder for Reinforcement Learning Environments. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	J	`jnl`	The Dreaming Variational Autoencoder for Reinforcement Learning Environments. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	—	`conf`	The Role of Artificial Intelligence in Social Media Big data Analytics for Disaster Management -Initial Results of a Systematic Literature Review. ICT-DM Vimala Nunavath, Morten Goodwin
2018	J	`jnl`	Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications. CoRR Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen
2017	—	`conf`	A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. SGAI Conf. Jahn Thomas Fidje, Christian Kråkevik Haraldseid, Ole-Christoffer Granmo, Morten Goodwin, Bernt Viggo Matheussen
2017	C	`conf`	Deep Convolutional Neural Networks for Fire Detection in Images. EANN Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje
2017	—	`conf`	FlashRL: A Reinforcement Learning Platform for Flash Games. NIK Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017	C	`conf`	Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. ADMA Anis Yazidi, B. John Oommen, Morten Goodwin
2017	J	`jnl`	On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments. IEEE Trans. Cybern. Anis Yazidi, B. John Oommen, Morten Goodwin
2017	J	`jnl`	PolyACO+: a multi-level polygon-based ant colony optimisation classifier. Swarm Intell. Morten Goodwin, Torry Tufteland, Guro Ødesneltvedt, Anis Yazidi
2017	—	`conf`	Towards Open Domain Chatbots - A GRU Architecture for Data Driven Conversations. INSCI Workshops Åsmund Kamphaug, Ole-Christoffer Granmo, Morten Goodwin, Vladimir Zadorozhny
2017	—	`conf`	Towards a Deep Reinforcement Learning Approach for Tower Line Wars. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017	J	`jnl`	Towards a Deep Reinforcement Learning Approach for Tower Line Wars. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017	B	`conf`	Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder. CEC Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2016	J	`jnl`	A pattern recognition approach for peak prediction of electrical consumption. Integr. Comput. Aided Eng. Morten Goodwin, Anis Yazidi
2016	—	`conf`	Adaptive Task Assignment in Online Learning Environments. WIMS Per-Arne Andersen, Christian Kråkevik, Morten Goodwin, Anis Yazidi
2016	—	`conf`	Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons. ANTS Conference Morten Goodwin, Anis Yazidi
2016	—	`conf`	Deep Learning for Social Media Analysis in Crises Situations (Position paper). SAIS Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2016	B	`conf`	Distributed learning automata for solving a classification task. CEC Morten Goodwin, Anis Yazidi, Tore Møller Jonassen
2016	Misc	`conf`	Information Abstraction from Crises Related Tweets Using Recurrent Neural Network. AIAI Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2016	—	`conf`	Optimizing PolyACO Training with GPU-Based Parallelization. ANTS Conference Torry Tufteland, Guro Ødesneltvedt, Morten Goodwin
2016	—	`conf`	Teaching Programming to Large Student Groups through Test Driven Development - Comparing Established Methods with Teaching based on Test Driven Development. CSEDU (1) Morten Goodwin, Tom Drange
2016	—	`conf`	Towards Evacuation Planning of Groups with Genetic Algorithms. SAIS Bjørnar Hansen, Leonard Loland, Morten Goodwin, Ole-Christoffer Granmo
2015	C	`conf`	AIs for Dominion Using Monte-Carlo Tree Search. IEA/AIE Robin Tollisen, Jon Vegard Jansen, Morten Goodwin, Sondre Glimsdal
2015	C	`conf`	Towards Multilevel Ant Colony Optimisation for the Euclidean Symmetric Traveling Salesman Problem. IEA/AIE Thomas Andre Lian, Marilex Rea Llave, Morten Goodwin, Noureddine Bouhmala
2014	—	`conf`	Evaluating prediction models for electricity consumption. NIK Lasse A. Karlsen, Morten Goodwin
2014	—	`conf`	On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. CSE Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, Morten Goodwin
2014	—	`conf`	Predicting Source Code Quality with Static Analysis and Machine Learning. NIK Vera Barstad, Morten Goodwin, Terje Gjøsæter
2013	—	`conf`	Towards automatic assessment of government web sites. WIMS Morten Goodwin
2011	—	`conf`	A solution to the exact match on rare item searches: introducing the lost sheep algorithm. WIMS Morten Goodwin