M. G. Olsen

发表

Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines

Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin Olsen, 2020, SGAI Conf..

Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network

C. Omlin, M. Dutt, M. G. Olsen, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification

T. Eftestøl, K. Oppedal, S. R. Kjosavik, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach

T. Eftestøl, K. Oppedal, S. R. Kjosavik, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

A Neural Turing~Machine for Conditional Transition Graph Modeling pdf

Ole-Christoffer Granmo, Morten Goodwin Olsen, Mehdi Ben Lazreg, 2019, ArXiv.

CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning

Ole-Christoffer Granmo, Morten Goodwin Olsen, Per-Arne Andersen, 2022, SGAI Conf..

A pattern recognition approach for peak prediction of electrical consumption

Anis Yazidi, Morten Goodwin Olsen, A. Yazidi, 2014, Integr. Comput. Aided Eng..

Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis

Ole-Christoffer Granmo, Morten Goodwin Olsen, Lei Jiao, 2021, AAAI.

Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks

Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin Olsen, 2018, NIK.

Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons

Anis Yazidi, Morten Goodwin Olsen, A. Yazidi, 2016, ANTS Conference.

Distributed learning automata for solving a classification task

Anis Yazidi, Morten Goodwin Olsen, Tore Møller Jonassen, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI pdf

Trygve Eftestøl, Morten Goodwin Olsen, Ketil Oppedal, 2021, arXiv.org.

Deep Convolutional Neural Networks for Fire Detection in Images

Ole-Christoffer Granmo, Morten Goodwin Olsen, Jahn Thomas Fidje, 2017, EANN.

Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing

Ole-Christoffer Granmo, Morten Goodwin Olsen, Jivitesh Sharma, 2021, IEA/AIE.

An Interpretable Word Sense Classifier for Human Explainable Chatbot

Rohan Kumar Yadav, Ole-Christoffer Granmo, M. G. Olsen, 2021, International Conference on Agents and Artificial Intelligence.

Deep 3D Convolution Neural Network for Alzheimer's Detection

Morten Goodwin Olsen, Ketil Oppedal, Charul Giri, 2020, LOD.

Monitoring Accessibility of Governmental Web Sites in Europe

Morten Goodwin Olsen, Christian Bühler, Helmut Heck, 2008, ICCHP.

Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation

Ole-Christoffer Granmo, Morten Goodwin Olsen, Jivitesh Sharma, 2019, EURASIP Journal on Information Security.

On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2014, 2014 IEEE 17th International Conference on Computational Science and Engineering.

Expert Q-learning: Deep Q-learning With State Values From Expert Examples

P. Engelstad, A. Yazidi, Li Meng, 2021, ArXiv.

Interpretability in Word Sense Disambiguation using Tsetlin Machine

Ole-Christoffer Granmo, Morten Goodwin Olsen, Lei Jiao, 2021, ICAART.

Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment pdf

Ole-Christoffer Granmo, Morten Goodwin Olsen, Per-Arne Andersen, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Predicting Source Code Quality with Static Analysis and Machine Learning

Morten Goodwin Olsen, Terje Gjøsæter, Vera Barstad, 2014, NIK.

Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis

Ole-Christoffer Granmo, Morten Goodwin Olsen, Ahmed Abouzeid, 2019, 2019 25th Conference of Open Innovations Association (FRUCT).

Following the WCAG 2.0 Techniques: Experiences from Designing a WCAG 2.0 Checking Tool

Morten Goodwin Olsen, Annika Nietzio, Mikael Snaprud, 2012, ICCHP.

Accessibility of eGovernment Web Sites: Towards a Collaborative Retrofitting Approach

Morten Goodwin Olsen, Annika Nietzio, Mikael Snaprud, 2010, ICCHP.

Is It Possible to Predict the Manual Web Accessibility Result Using the Automatic Result?

Morten Goodwin Olsen, Loïc Martínez, Carlos Casado Martínez, 2009, HCI.

Adaptive Task Assignment in Online Learning Environments

Anis Yazidi, Morten Goodwin Olsen, Per-Arne Andersen, 2016, WIMS.

A contrastive learning approach for individual re-identification in a wild fish population

Kristian Muri Knausgård, K. Malde, T. K. Sørdalen, 2023, NLDL.

Temperate fish detection and classification: a deep learning based approach pdf

Lei Jiao, Morten Goodwin Olsen, Kristian Muri Knausgård, 2020, Applied Intelligence.

Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation pdf

Morten Goodwin Olsen, Lei Jiao, Kristian Muri Knausgård, 2019, IEA/AIE.

Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook pdf

Morten Goodwin Olsen, Lei Jiao, Kristian Muri Knausgård, 2021, ArXiv.

An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon

Kristian Muri Knausgård, M. G. Olsen, Aditya Gupta, 2022, International Conference on Engineering Applications of Neural Networks.

Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning

Kristian Muri Knausgård, M. G. Olsen, Per-Arne Andersen, 2023, ArXiv.

Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers

Morten Goodwin Olsen, Nadia Saad Noori, Mehdi Ben Lazreg, 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Benchmarking e-Government - A Comparative Review of Three International Benchmarking Studies

Morten Goodwin Olsen, Lasse Berntzen, L. Berntzen, 2009, 2009 Third International Conference on Digital Society.

Towards Multilevel Ant Colony Optimisation for the Euclidean Symmetric Traveling Salesman Problem

Morten Goodwin Olsen, Noureddine Bouhmala, Marilex Rea Llave, 2015, IEA/AIE.

Towards Open Domain Chatbots - A GRU Architecture for Data Driven Conversations

Vladimir Zadorozhny, Ole-Christoffer Granmo, Morten Goodwin Olsen, 2017, INSCI Workshops.

Towards Evacuation Planning of Groups with Genetic Algorithms

Ole-Christoffer Granmo, Morten Goodwin Olsen, Bjørnar Hansen, 2016, SAIS.

Positionless aspect based sentiment analysis using attention mechanism

Ole-Christoffer Granmo, Morten Goodwin Olsen, Lei Jiao, 2021, Knowl. Based Syst..

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games

Ole-Christoffer Granmo, Morten Goodwin Olsen, Per-Arne Andersen, 2018, 2018 IEEE Conference on Computational Intelligence and Games (CIG).

Deep Learning for Social Media Analysis in Crises Situations (Position paper)

Ole-Christoffer Granmo, Morten Goodwin Olsen, Mehdi Ben Lazreg, 2016, SAIS.

Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data

Morten Goodwin Olsen, Ketil Oppedal, Thor Ole Gulsrud, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease

Morten Goodwin Olsen, Vimala Nunavath, Carl Erik Moe, 2018, EANN.

On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth

Anis Yazidi, B. John Oommen, Morten Goodwin Olsen, 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

Towards safe reinforcement-learning in industrial grid-warehousing

Ole-Christoffer Granmo, Morten Goodwin Olsen, Per-Arne Andersen, 2020, Inf. Sci..

A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme

B. John Oommen, Anis Yazidi, Ole-Christoffer Granmo, 2014, IEEE Transactions on Cybernetics.

A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2012, IEA/AIE.

Benchmarking and improving the quality of Norwegian municipality web sites

Morten Goodwin Olsen, Annika Nietzio, Frank Fardal, 2009 .

PolyACO+: a multi-level polygon-based ant colony optimisation classifier

A. Yazidi, M. G. Olsen, Torry Tufteland, 2017, Swarm Intelligence.

Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation

B. John Oommen, Ole-Christoffer Granmo, Morten Goodwin Olsen, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Towards automatic assessment of government web sites

Morten Goodwin Olsen, M. G. Olsen, 2013, WIMS '13.

Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches

M. G. Olsen, Per-Arne Andersen, S. Jyhne, 2023, arXiv.org.

A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters

Jose J. Gonzalez, Jaziar Radianti, J. Dugdale, 2014, Applied Intelligence.

A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning

Jose J. Gonzalez, Ole-Christoffer Granmo, Morten Goodwin Olsen, 2013, IEA/AIE.

The Convolutional Tsetlin Machine pdf

Ole-Christoffer Granmo, Morten Goodwin Olsen, Lei Jiao, 2019, ArXiv.

A Tsetlin Machine with Multigranular Clauses pdf

Ole-Christoffer Granmo, Morten Goodwin Olsen, Adrian Phoulady, 2019, SGAI Conf..

A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems

M. G. Olsen, Jivitesh Sharma, Karl Audun Borgersen, 2022, NLDL.

Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks pdf

Ole-Christoffer Granmo, Morten Goodwin Olsen, Jivitesh Sharma, 2019, ArXiv.

A Multi-layer Feed Forward Neural Network Approach for Diagnosing Diabetes

Morten Goodwin Olsen, Vimala Nunavath, Micheal Dutt, 2018, 2018 11th International Conference on Developments in eSystems Engineering (DeSE).

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars

Kristian Muri Knausgård, M. G. Olsen, Martin Holen, 2022, Informatics.

Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character

Morten Goodwin Olsen, Lei Jiao, Vimala Nunavath, 2018, EANN.

Determining Optimal Polling Frequency Using a Learning Automata-based Solution to the Fractional Knapsack Problem

B.J. Oommen, B. Oommen, O.-C. Granmo, 2006, 2006 IEEE Conference on Cybernetics and Intelligent Systems.

Learning Automata-based Solutions to the Nonlinear Fractional Bin Packing Problem with Application to distributed web crawling

A. Yazidi, Ole-Christoffer Granmo, M. G. Olsen, 2007 .

TOWARDS DISTRIBUTION OF WEB SITES IN A CRAWLER USED FOR LARGE SCALE WEB ACCESSIBILITY ASSESSMENT

M. G. Olsen, Leiming Chen, Dongmei Wang, 2006 .

Incremental web crawling as a competitive game of learning automata

Morten Goodwin Olsen, Svein Arild Myrer, M. G. Olsen, 2005 .

Deep Learning for Classifying Physical Activities from Accelerometer Data

Morten Goodwin Olsen, Lei Jiao, Vimala Nunavath, 2021, Sensors.

A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation

Ole-Christoffer Granmo, Morten Goodwin Olsen, Bernt Viggo Matheussen, 2017, SGAI Conf..

Information Abstraction from Crises Related Tweets Using Recurrent Neural Network

Ole-Christoffer Granmo, Morten Goodwin Olsen, Mehdi Ben Lazreg, 2016, AIAI.

FlashRL: A Reinforcement Learning Platform for Flash Games pdf

Ole-Christoffer Granmo, Morten Goodwin Olsen, Per-Arne Andersen, 2018, NIK.

Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities pdf

Morten Goodwin Olsen, Mehdi Ben Lazreg, M. B. Lazreg, 2018, Comput. Speech Lang..