Morten Goodwin
Orcid: 0000-0001-6331-702X
According to our database1,
Morten Goodwin
authored at least 147 papers
between 2006 and 2024.
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Bibliography
2024
2023
IEEE Trans. Games, December, 2023
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification.
Appl. Intell., July, 2023
Using Tsetlin Machine to discover interpretable rules in natural language processing applications.
Expert Syst. J. Knowl. Eng., May, 2023
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning.
Expert Syst. J. Knowl. Eng., May, 2023
Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders.
CoRR, 2023
Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning.
CoRR, 2023
Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches.
CoRR, 2023
Proceedings of the Artificial Intelligence XL, 2023
Proceedings of the Artificial Intelligence XL, 2023
ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching.
Proceedings of the Artificial Intelligence XL, 2023
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric.
Proceedings of the Artificial Intelligence XL, 2023
A contrastive learning approach for individual re-identification in a wild fish population.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Proceedings of the Computer Analysis of Images and Patterns, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
J. Intell. Inf. Syst., 2022
Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars.
Informatics, 2022
Appl. Intell., 2022
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022
Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders.
Proceedings of the IEEE International Conference on E-health Networking, 2022
ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs.
Proceedings of the Engineering Applications of Neural Networks, 2022
Proceedings of the Engineering Applications of Neural Networks, 2022
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles.
Proceedings of the Engineering Applications of Neural Networks, 2022
An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon.
Proceedings of the Engineering Applications of Neural Networks, 2022
Proceedings of the Engineering Applications of Neural Networks, 2022
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Sensors, 2021
Knowl. Based Syst., 2021
Inf. Syst. Frontiers, 2021
Increasing sample efficiency in deep reinforcement learning using generative environment modelling.
Expert Syst. J. Knowl. Eng., 2021
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook.
CoRR, 2021
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI.
CoRR, 2021
CoRR, 2021
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability.
IEEE Access, 2021
Proceedings of the Artificial Intelligence XXXVIII, 2021
Proceedings of the Artificial Intelligence XXXVIII, 2021
Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning.
Proceedings of the Intelligent Technologies and Applications, 2021
Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2021
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression.
Proceedings of the ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23, 2021
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Pattern Anal. Appl., 2020
Combining a context aware neural network with a denoising autoencoder for measuring string similarities.
Comput. Speech Lang., 2020
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation.
CoRR, 2020
Appl. Intell., 2020
Distributed learning automata-based scheme for classification using novel pursuit scheme.
Appl. Intell., 2020
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines.
Proceedings of the Artificial Intelligence XXXVII, 2020
Proceedings of the Artificial Intelligence XXXVII, 2020
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning.
Proceedings of the Artificial Intelligence XXXVII, 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network.
Proceedings of the Interspeech 2020, 2020
Proceedings of the Intelligent Technologies and Applications, 2020
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Proceedings of the ICISS 2020: The 3rd International Conference on Information Science and System, 2020
2019
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation.
EURASIP J. Inf. Secur., 2019
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications.
IEEE Access, 2019
Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019
Proceedings of the Artificial Intelligence XXXVI, 2019
Proceedings of the Artificial Intelligence XXXVI, 2019
Proceedings of the Intelligent Systems and Applications, 2019
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
The Use of Artificial Intelligence in Disaster Management - A Systematic Literature Review.
Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2019
Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2019
Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis.
Proceedings of the 25th Conference of Open Innovations Association, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
Modelling of Compressors in an Industrial CO _2 -Based Operational Cooling System Using ANN for Energy Management Purposes.
Proceedings of the Engineering Applications of Neural Networks, 2019
2018
Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities.
CoRR, 2018
Proceedings of the Artificial Intelligence XXXV, 2018
Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks.
Proceedings of the 31st Norsk Informatikkonferanse, 2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
The Role of Artificial Intelligence in Social Media Big data Analytics for Disaster Management -Initial Results of a Systematic Literature Review.
Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease.
Proceedings of the Engineering Applications of Neural Networks, 2018
Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character.
Proceedings of the Engineering Applications of Neural Networks, 2018
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018
2017
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments.
IEEE Trans. Cybern., 2017
Swarm Intell., 2017
A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation.
Proceedings of the Artificial Intelligence XXXIV, 2017
Proceedings of the Artificial Intelligence XXXIV, 2017
Proceedings of the 30th Norsk Informatikkonferanse, 2017
Proceedings of the Internet Science, 2017
Proceedings of the Engineering Applications of Neural Networks, 2017
Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
2016
Integr. Comput. Aided Eng., 2016
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016
Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016
Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016
Proceedings of the Artificial Intelligence Applications and Innovations, 2016
Teaching Programming to Large Student Groups through Test Driven Development - Comparing Established Methods with Teaching based on Test Driven Development.
Proceedings of the CSEDU 2016, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Swarm Intelligence - 10th International Conference, 2016
Proceedings of the Swarm Intelligence - 10th International Conference, 2016
2015
A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters.
Appl. Intell., 2015
Appl. Intell., 2015
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
Towards Multilevel Ant Colony Optimisation for the Euclidean Symmetric Traveling Salesman Problem.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
2014
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme.
IEEE Trans. Cybern., 2014
Proceedings of the 27th Norsk Informatikkonferanse, 2014
Proceedings of the 27th Norsk Informatikkonferanse, 2014
On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
2013
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, 2013
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013
A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013
2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
Following the WCAG 2.0 Techniques: Experiences from Designing a WCAG 2.0 Checking Tool.
Proceedings of the Computers Helping People with Special Needs, 2012
2011
A solution to the exact match on rare item searches: introducing the lost sheep algorithm.
Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 2011
2010
Proceedings of the Computers Helping People with Special Needs, 2010
Accessibility of eGovernment Web Sites: Towards a Collaborative Retrofitting Approach.
Proceedings of the Computers Helping People with Special Needs, 2010
2009
Benchmarking e-Government - A Comparative Review of Three International Benchmarking Studies.
Proceedings of the Third International Conference on the Digital Society (ICDS 2009), 2009
Is It Possible to Predict the Manual Web Accessibility Result Using the Automatic Result?
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2009
2008
Proceedings of the Computers Helping People with Special Needs, 2008
2007
Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation.
IEEE Trans. Syst. Man Cybern. Part B, 2007
2006
Proceedings of the Computers Helping People with Special Needs, 2006