Morten Goodwin

发表

An AI for Dominion Based on Monte-Carlo Methods

Morten Goodwin, 2014 .

Relative evaluation of regression tools for urban area electrical energy demand forecasting

Nils Jakob Johannesen, M. Kolhe, Morten Goodwin, 2019, Journal of Cleaner Production.

Towards Automated Human Identification Using Dental X-ray Images

Morten Goodwin, 2015 .

Deep Reinforcement Learning with Swin Transformer

P. Engelstad, A. Yazidi, Morten Goodwin, 2022, ArXiv.

CaiRL: A High-Performance Reinforcement Learning Environment Toolkit

Ole-Christoffer Granmo, Morten Goodwin, Per-Arne Andersen, 2022, 2022 IEEE Conference on Games (CoG).

Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise

P. Engelstad, A. Yazidi, Morten Goodwin, 2022, IEEE Transactions on Games.

Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation

Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao, 2022, IJCAI.

A novel learning automata game with local feedback for parallel optimization of hydropower production

Morten Goodwin, 2017 .

Temperate fish detection and classification: a deep learning based approach

Kristian Muri Knausgård, Alf Ring Kleiven, Morten Goodwin, 2021, Applied Intelligence.

Hierarchical Object Detection applied to Fish Species

Morten Goodwin, Dr. Aditya Gupta, Espen Stausland Kalhagen, 2022, Nordic Machine Intelligence.

A relational tsetlin machine with applications to natural language understanding

V. Zadorozhny, Ole-Christoffer Granmo, Morten Goodwin, 2022, Journal of Intelligent Information Systems.

Towards Automated eGovernment Monitoring

Morten Goodwin, Morten Goodwin, 2011 .

Global Web Accessibility Analysis of National Government Portals and Ministry Web Sites

Morten Goodwin, Annika Nietzio, Mikael Snaprud, 2011 .

Distributed Learning Automata-based S-learning scheme for classification

Anis Yazidi, Tore Møller Jonassen, Morten Goodwin, 2019, Pattern Analysis and Applications.

Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks

Morten Goodwin, Martin Engen, Erik Sandø, 2021, Agronomy.

Smart load prediction analysis for distributed power network of Holiday Cabins in Norwegian rural area

Mohan Kolhe, Morten Goodwin, Nils Jakob Johannesen, 2020 .

A team of pursuit learning automata for solving deterministic optimization problems

A. Yazidi, Morten Goodwin, Nourredine Bouhmala, 2020, Applied Intelligence.

MapAI: Precision in Building Segmentation

A. Nossum, Morten Goodwin, Per-Arne Andersen, 2022, Nordic Machine Intelligence.

Road Detection for Reinforcement Learning Based Autonomous Car

Rupsa Saha, Christian W. Omlin, Morten Goodwin, 2020, ICISS.

Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network

Ole-Christoffer Granmo, Morten Goodwin, Jivitesh Sharma, 2019, INTERSPEECH.

Distributed learning automata-based scheme for classification using novel pursuit scheme

Anis Yazidi, Morten Goodwin Olsen, A. Yazidi, 2020, Applied Intelligence.

Using Tsetlin Machine to discover interpretable rules in natural language processing applications

Ole-Christoffer Granmo, Morten Goodwin, Rupsa Saha, 2021, Expert Syst. J. Knowl. Eng..

Distributed Word Representation in Tsetlin Machine pdf

Ole-Christoffer Granmo, Morten Goodwin, Lei Jiao, 2021, ArXiv.

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation

Ole-Christoffer Granmo, Morten Goodwin, Lei Jiao, 2021, BLACKBOXNLP.

Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples

P. Engelstad, A. Yazidi, Morten Goodwin, 2021, Proceedings of the Northern Lights Deep Learning Workshop.

Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow

Anis Yazidi, Morten Goodwin, Erik Arntzen, 2020, Cognitive Neurodynamics.

Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization

Ole-Christoffer Granmo, Morten Goodwin, C. Webersik, 2022, AAAI.

Learning Automata-based Misinformation Mitigation via Hawkes Processes

Ole-Christoffer Granmo, Morten Goodwin, C. Webersik, 2021, Information Systems Frontiers.

Label-Critic Tsetlin Machine: A Novel Self-supervised Learning Scheme for Interpretable Clustering

Ole-Christoffer Granmo, Morten Goodwin, C. Webersik, 2022, 2022 International Symposium on the Tsetlin Machine (ISTM).

ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse

Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, 2020 .

Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes

Ole-Christoffer Granmo, Morten Goodwin, Ahmed Abouzeid, 2021, SGAI Conf..

Indoor Space Classification Using Cascaded LSTM

Ole-Christoffer Granmo, Lei Jiao, Bimal Bhattarai, 2020, 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA).

Load prediction of rural area Nordic holiday resorts for microgrid development

Nils Jakob Johannesen, M. Kolhe, Morten Goodwin, 2022, Residential Microgrids and Rural Electrifications.

SleepXAI: An explainable deep learning approach for multi-class sleep stage identification

C. Omlin, Morten Goodwin, M. Dutt, 2022, Applied Intelligence.

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications

Ole-Christoffer Granmo, Morten Goodwin, Bernt Viggo Matheussen, 2018, IEEE Access.

Accurate Wound and Lice Detection in Atlantic Salmon Fish Using a Convolutional Neural Network

Kristian Muri Knausgård, Morten Goodwin, Aditya Gupta, 2022, Fishes.

Emergency Detection with Environment Sound Using Deep Convolutional Neural Networks

Ole-Christoffer Granmo, Morten Goodwin, Jivitesh Sharma, 2020 .

On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments

Anis Yazidi, B. John Oommen, Morten Goodwin, 2017, IEEE Transactions on Cybernetics.

Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders

Ole-Christoffer Granmo, Morten Goodwin, Per-Arne Andersen, 2022, INTAP.

Increasing sample efficiency in deep reinforcement learning using generative environment modelling

Ole-Christoffer Granmo, Per-Arne Andersen, Morten Goodwin, 2020, Expert Syst. J. Knowl. Eng..

Towards automatic assessment of government web sites

Morten Goodwin, Morten Goodwin, 2013, WIMS 2013.

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, K. Darshana Abeyrathna, 2020, IEEE Access.

Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control

Sven Myrdahl Opalic, Henrik Nielsen, M. Kolhe, 2022, Journal of Cleaner Production.

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling pdf

Rupsa Saha, Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, 2020, ICML.

On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators

Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A relational tsetlin machine with applications to natural language understanding

Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin, 2021, J. Intell. Inf. Syst..

On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines

Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, K. Darshana Abeyrathna, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning

Alex Yakovlev, Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, 2020, SGAI Conf..

The regression Tsetlin machine: a novel approach to interpretable nonlinear regression

Ole-Christoffer Granmo, Morten Goodwin, Lei Jiao, 2019, Philosophical Transactions of the Royal Society A.

Deep Reinforcement Learning with Swin Transformers

P. Engelstad, A. Yazidi, Morten Goodwin, 2022, 2206.15269.

A Deep Reinforcement Learning scheme for Battery Energy Management

Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, 2020, 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech).

Research Online Research

Morten Goodwin, Frode Roarson, Tom Drange, 2022 .

State Representation Learning Using an Unbalanced Atlas

P. Engelstad, A. Yazidi, Morten Goodwin, 2023, ICLR.