Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer

MMSS: A storytelling simulation software to mitigate misinformation on social media[Formula presented]. Software Impacts 2665-9638, Vol. 13

Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Goodwin, Morten; Webersik, Christian

Label-Critic Tsetlin Machine: A Novel Self-supervised Learning Scheme for Interpretable Clustering. 2022 International Symposium on the Tsetlin Machine (ISTM 2022) IEEE conference proceedings ISBN 978-1-6654-7116-9, p. 41-48

UIA NFR

Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten

Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. Proceedings of the AAAI Conference on Artificial Intelligence 2159-5399, p. 11801-11809

UIA UIA

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. 2022 IEEE Conference on Games (CoG) IEEE conference proceedings 2022 ISBN 978-1-6654-5989-1, p. 361-368

UIA

Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao

Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment . Proceedings of the 13th Language Resources and Evaluation Conference European Language Resources Association ISBN 979-10-95546-72-6, p. 4894-4903

NFR UIA

Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao

ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. Proceedings of the 13th Language Resources and Evaluation Conference European Language Resources Association ISBN 979-10-95546-72-6, p. 3761-3770

NFR UIA

Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao

Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines. Applied intelligence (Boston) 0924-669X

NFR

Dutt, Micheal; Redhu, Surender; Goodwin, Morten; Omlin, Christian Walter Peter

Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom) IEEE conference proceedings ISBN 978-1-6654-8016-1

Dutt, Micheal; Redhu, Surender; Goodwin, Morten; Omlin, Christian Walter Peter

SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. Applied intelligence (Boston) 0924-669X

Fernandez Quilez, Alvaro; Eftestøl, Trygve Christian; Kjosavik, Svein Reidar; Goodwin, Morten; Oppedal, Ketil

Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. IEEE International Symposium on Biomedical Imaging 1945-7928

Fernandez Quilez, Alvaro; Eftestøl, Trygve Christian; Kjosavik, Svein Reidar; Goodwin, Morten; Oppedal, Ketil

Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. IEEE International Symposium on Biomedical Imaging 1945-7928

Giri, Charul; Granmo, Ole-Christoffer; Van Hoof, Herke; Blakely, Christian Dallas

Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. 2022 International Joint Conference on Neural Networks (IJCNN) IEEE conference proceedings 2022 ISBN 978-1-7281-8671-9

UIA NFR

Giri, Charul; Sharma, Jivitesh; Goodwin, Morten

Brain Tumour Segmentation on 3D MRI Using Attention V-Net. Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science Springer Nature 2022 ISBN 978-3-031-08223-8, p. 336-348

Goodwin, Morten; Thorbjørnsen, Susanna Huneide; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen

Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. ICES Journal of Marine Science 1054-3139, Vol. 79, p. 319-336

UIA NFR

Gupta, Aditya; Bringsdal, Even; Knausgård, Kristian Muri; Goodwin, Morten

Accurate Wound and Lice Detection in Atlantic Salmon Fish Using a Convolutional Neural Network. Fishes 2410-3888, Vol. 7

Gupta, Aditya; Bringsdal, Even; Salbuvik, Nicole; Knausgård, Kristian Muri; Goodwin, Morten

An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022 Springer Nature 2022 ISBN 978-3-031-08222-1, p. 139-149

NFR UIA

Gupta, Rashmi; engen, martin; Sandø, Erik; Sjølander, Benjamin Lucas Oscar; Arenberg, Simon; Goodwin, Morten

Implementation of Neural Networks to Predict Crop Yield Production in Norwegian Agriculture. 18th International Conference on Machine Learning and Data Mining, MLDM 2022 IBAI Publishing ISBN 978-3-942952-93-4, p. 17-31

NFR UIA

Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars. Informatics 2227-9709, Vol. 9

Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten

An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning. Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers Springer 1616 ISBN 978-3-031-10524-1, p. 367-379

UIA NFR

Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E.; Knausgård, Kristian Muri

Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science Springer Nature 2022 ISBN 978-3-031-08223-8

Jenul, Anna Selina; Bhattarai, Bimal; Liland, Kristian Hovde; Lei, Jiao; Schrunner, Stefan; Futsæther, Cecilia Marie; Granmo, Ole-Christoffer; Tomic, Oliver

Component Based Pre-filtering of Noisy Data for Improved Tsetlin Machine Modelling. 2022 International Symposium on the Tsetlin Machine (ISTM 2022) IEEE conference proceedings ISBN 978-1-6654-7116-9, p. 57-64

UIA

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

Evaluating Anomaly Detection Algorithms through different Grid scenarios using k-Nearest Neighbor, iforest and Local Outlier Factor. 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) IEEE conference proceedings ISBN 978-1-6654-8828-0

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

Load prediction of rural area Nordic holiday resorts for microgrid development. Residential Microgrids and Rural Electrifications Academic Press ISBN 978-0-323-90177-2, p. 163-181

Jyhne, Sander; Goodwin, Morten; Andersen, Per-Arne; Oveland, Ivar

MapAI: Precision in BuildingSegmentation. Nordic Machine Intelligence (NMI) 2703-9196

Kalhagen, Espen Stausland; Olsen, Ørjan Langøy; Goodwin, Morten; Gupta, Aditya

Hierarchical Object Detection applied to Fish Species. Nordic Machine Intelligence (NMI) 2703-9196, Vol. 2, p. 1-15

NFR UIA

Lei, Jiao; Zhang, Xuan; Granmo, Ole-Christoffer; Abeyrathna, Kuruge Darshana

On the Convergence of Tsetlin Machines for the XOR Operator. IEEE Transactions on Pattern Analysis and Machine Intelligence 0162-8828, p. 1-14

UIA

Lien, Henrik; Biermann, Daniel; Palumbo, Fabrizio; Goodwin, Morten

An Exploration of Semi-supervised Text Classification. Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022 Springer Nature 2022 ISBN 978-3-031-08222-1, p. 477-488

Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal

Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. IEEE Transactions on Games (TG) 2475-1502

Meng, Li; Yazidi, Anis; Goodwin, Morten; Engelstad, Paal

Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. Proceedings of the Northern Lights Deep Learning Workshop 2703-6928

Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal

Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control. Journal of Cleaner Production 0959-6526, Vol. 380

UIA

Rafiev, Ashur; Morris, Jordan; Xia, Fei; Shafik, Rishad; Yakovlev, Alex; Granmo, Ole-Christoffer; Brown, Andrew

Visualization of Machine Learning Dynamics in Tsetlin Machines. 2022 International Symposium on the Tsetlin Machine (ISTM 2022) IEEE conference proceedings ISBN 978-1-6654-7116-9, p. 65-72

UIA NFR

Rahman, Tousif; Shafik, Rishad; Granmo, Ole-Christoffer; Yakovlev, Alex

Resilient Biomedical Systems Design Under Noise Using Logic-Based Machine Learning. Frontiers in Control Engineering 2673-6268

UIA NFR

Rahman, Tousif; Wheeldon, Adrian; Shafik, Rishad; Yakovlev, Alex; Lei, Jie; Granmo, Ole-Christoffer; Das, Shidhartha

Data Booleanization for Energy Efficient On-Chip Learning using Logic Driven AI. 2022 International Symposium on the Tsetlin Machine (ISTM 2022) IEEE conference proceedings ISBN 978-1-6654-7116-9, p. 29-36

UIA NFR

Szabo, Vera; Ebrahimi, Saeed Hasan; Choux, Martin Marie Hubert; Goodwin, Morten

ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs. Engineering Applications of Neural Networks - 18th International Conference, EANN 2017 Springer 2022 ISBN 978-3-319-65171-2, p. 177-189

NFR UIA

Tunheim, Svein Anders; Lei, Jiao; Shafik, Rishad Ahmed; Yakovlev, Alexandre; Granmo, Ole-Christoffer

A Convolutional Tsetlin Machine-based Field Programmable Gate Array Accelerator for Image Classification. 2022 International Symposium on the Tsetlin Machine (ISTM 2022) IEEE conference proceedings ISBN 978-1-6654-7116-9, p. 21-28

UIA NFR

Tunheim, Svein Anders; Yadav, Rohan Kumar; Lei, Jiao; Shafik, Rishad; Granmo, Ole-Christoffer

Cyclostationary Random Number Sequences for the Tsetlin Machine. Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence. 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, July 19–22, 2022, Proceedings Springer ISBN 978-3-031-08529-1, p. 844-856

UIA NFR

Vishwanath, Ajay; Bøhn, Einar Duenger; Granmo, Ole-Christoffer; Maree, Charl; Omlin, Christian Walter Peter

Towards artificial virtuous agents: games, dilemmas and machine learning. AI and Ethics 2730-5953

Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten

Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence AAAI Press 31 ISBN 978-1-956792-00-3, p. 4439-4446

UIA NFR

Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar

Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. Proceedings of Machine Learning Research (PMLR) 2640-3498

UIA

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten

Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. 2021 6th International Conference on Machine Learning Technologies Association for Computing Machinery (ACM) ISBN 978-1-4503-8940-2, p. 65-70

NFR UIA

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten

Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line. Electronics 2079-9292, Vol. 10

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access 2169-3536, Vol. 9, p. 8233-8248

UIA

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Lei, Jiao; Wheeldon, Adrian; Yakovlev, Alex; Lei, Jie; Goodwin, Morten

A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. Expert systems 0266-4720

UIA

Abeyrathna, Kuruge Darshana; Rasca, Sinziana Ioana; Markvica, Karin; Granmo, Ole-Christoffer

Public Transport Passenger Count Forecasting in Pandemic Scenarios Using Regression Tsetlin Machine. Case Study of Agder, Norway. Smart Innovation, Systems and Technologies 2190-3018, Vol. 231, p. 27-37

Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Goodwin, Morten

Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. Lecture Notes in Computer Science (LNCS) 0302-9743

NFR UIA

Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten

Learning Automata-based Misinformation Mitigation via Hawkes Processes. Information Systems Frontiers 1387-3326, Vol. 23, p. 1169-1188

UIA UIA

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

ORACLE: End-to-End Model Based Reinforcement Learning. Artificial Intelligence XXXVIII, 41st SGAI International Conference on Artificial Intelligence Springer 13101 ISBN 978-3-030-91099-0

NFR UIA

Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei

A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021) SciTePress 2021 ISBN 978-989-758-484-8

NFR

Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei

Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021) SciTePress 2021 ISBN 978-989-758-484-8, p. 410-417

NFR

Dutt, Micheal; Goodwin, Morten; Omlin, Christian Walter Peter

Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. Proceedings of the International Joint Conference on Neural Networks 2161-4393

engen, martin; Sandø, Erik; Sjølander, Benjamin Lucas Oscar; Arenberg, Simon; Gupta, Rashmi; Goodwin, Morten

Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks. Agronomy 2073-4395, Vol. 11

NFR UIA

Fernandez Quilez, Alvaro; Larsen, Steinar Valle; Goodwin, Morten; Gulsrud, Thor Ole; Kjosavik, Svein Reidar; Oppedal, Ketil

Improving prostate whole gland segmentation in T2-weighted MRI with synthetically generated data. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) IEEE conference proceedings 2021 ISBN 9781665412469, p. 1915-1919

Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Wiering, Marco

Explainable Reinforcement Learning with the Tsetlin Machine . Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices Springer Nature part I ISBN 978-3-030-79456-9

NFR

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

Comparing recurrent neural networks using principal component analysis for electrical load predictions. 2021 6th International Conference on Smart and Sustainable Technologies - SpliTech IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-953-290-112-2

Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Halvorsen, Kim Tallaksen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten

Temperate fish detection and classification: a deep learning based approach. Applied intelligence (Boston) 0924-669X

UIA

Nordli, Thomas; Bouhmala, Noureddine

A Look-Ahead Based Meta-heuristics for Optimizing Continuous Optimization Problems. Communications in Computer and Information Science 1865-0929, Vol. 1488, p. 48-55

Nunavath, Vimala; Johansen, Sahand; Johannessen, Tommy Sandtorv; Jiao, Lei; Hansen, Bjørge Hermann; Berntsen, Sveinung; Goodwin, Morten

Deep Learning for Classifying Physical Activities from Accelerometer Data. Sensors 1424-8220, Vol. 21

Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten

Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert systems 0266-4720

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Saha, Rupsa; Granmo, Ole-Christoffer; Zadorozhny, Vladimir; Goodwin, Morten

A relational Tsetlin Machine with applications to natural language understanding. Journal of Intelligent Information Systems 0925-9902

NFR UIA

Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten

Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Transactions on Systems, Man & Cybernetics. Systems 2168-2216, Vol. 51, p. 7363-7381

UIA

Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten

Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. Lecture Notes in Computer Science (LNCS) 0302-9743

UIA NFR

Yadav, Rohan Kumar; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer

Positionless aspect based sentiment analysis using attention mechanism.. Knowledge-Based Systems 0950-7051, Vol. 226

Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP Association for Computational Linguistics 2021 ISBN 978-1-955917-06-3, p. 265-274

UIA

Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten

Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis . Proceedings of the AAAI Conference on Artificial Intelligence 2159-5399, p. 14203-14212

UIA

Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten

Interpretability in Word Sense Disambiguation using Tsetlin Machine. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021) SciTePress 2021 ISBN 978-989-758-484-8, p. 402-409

UIA

Zhang, Xuan; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten

On the convergence of Tsetlin machines for the IDENTITY- and NOT operators. IEEE Transactions on Pattern Analysis and Machine Intelligence 0162-8828, Vol. 44, p. 6345-6359

UIA EEA

Abeyrathna, Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Yakovlev, Alex; Wheeldon, Adrian; Lei, Jie; Goodwin, Morten

A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI 2020: Artificial Intelligence XXXVII Springer ISBN 9783030637989, p. 108-122

Abeyrathna, Kuruge Darshana; Gardiyawasam Pussewalage, Harsha; Ranasinghe, Sasanka Niromi; Oleshchuk, Vladimir; Granmo, Ole-Christoffer

Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine. 2020 IEEE Symposium Series on Computational Intelligence (SSCI) IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-1-7281-2547-3, p. 1121-1130

UIA UIA

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten

Integer Weighted Regression Tsetlin Machines. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. Springer Nature 12144 ISBN 978-3-030-55789-8, p. 686-694

UIA

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten

On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. 2020 IEEE Symposium Series on Computational Intelligence (SSCI) IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-1-7281-2547-3, p. 662-669

UIA

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Goodwin, Morten

Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. 2020 IEEE Symposium Series on Computational Intelligence (SSCI) IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-1-7281-2547-3, p. 2084-2092

UIA

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

Increasing sample efficiency in deep reinforcement learningusing generative environment modelling. Expert systems 0266-4720

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI 2020: Artificial Intelligence XXXVII Springer ISBN 9783030637989

UIA

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. Machine Learning, Optimization, and Data Science: 6th International Conference, LOD 2020 Springer Nature 12566 ISBN 978-3-030-64579-3, p. 169-180

UIA

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert systems 0266-4720

UIA

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

Towards safe reinforcement-learning in industrial grid-warehousing. Information Sciences 0020-0255, Vol. 537, p. 467-484

Giri, Charul; Goodwin, Morten; Oppedal, Ketil

Deep 3D Convolution Neural Network for Alzheimer’s Detection. Machine Learning, Optimization, and Data Science Springer 12565 ISBN 978-3-030-64582-3, p. 347-358

UIA

Goodwin, Morten; Yazidi, Anis

Distributed learning automata-based scheme for classification using novel pursuit scheme. Applied intelligence (Boston) 0924-669X, Vol. 50, p. 2222-2238

Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller

Distributed Learning Automata-based S-learning scheme for classification. Pattern Analysis and Applications 1433-7541

Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Glimsdal, Sondre; Edwards, Jonathan; Goodwin, Morten

Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. Springer Nature 12144 ISBN 978-3-030-55789-8, p. 695-708

Holen, Martin; Saha, Rupsa; Goodwin, Morten; Omlin, Christian Walter Peter; Sandsmark, Knut Eivind

Road Detection for Reinforcement Learning Based Autonomous Car. ICISS 2020: Proceedings of the 2020 The 3rd International Conference on Information Science and System ACM Publications ISBN 978-1-4503-7725-6, p. 67-71

UIA

Jaramillo Jimenez, Veronica; Bouhmala, Noureddine; Gausdal, Anne Haugen

Developing a predictive maintenance model for vessel machinery. Journal of Ocean Engineering and Science 2468-0133, Vol. 5, p. 358-386

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

Smart load prediction analysis for distributed power network of Holiday Cabins in Norwegian rural area. Journal of Cleaner Production 0959-6526, Vol. 266

Lazreg, Mehdi Ben; Anjum, Usman; Zadorozhny, Vladimir; Goodwin, Morten

Semantic Decay Filter for Event Detection. ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Virginia Tech 17 ISBN 978-1-949373-27-1, p. 14-26

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Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer

Combining a context aware neural network with a denoising autoencoder for measuring string similarities . Computer Speech and Language 0885-2308, Vol. 60

Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal

A Deep Reinforcement Learning scheme for Battery Energy Management. 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech) IEEE Press ISBN 978-953290105-4, p. 1-6

Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Pardiñas, Ángel Á.; Hafner, Armin; Kolhe, Mohan Lal

ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse. Journal of Cleaner Production 0959-6526, Vol. 260, p. 1-10

NFR NFR

Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten

Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI 2020: Artificial Intelligence XXXVII Springer ISBN 9783030637989

NFR UIA

Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten

Emergency Detection with Environment Sound Using Deep Convolutional Neural Networks. Proceedings of Fifth International Congress on Information and Communication Technology Springer Nature 2 ISBN 978-981-15-5858-0, p. 144-154

UIA

Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten

Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network. Interspeech (USB) 2308-457X, p. 1186-1190

UIA

Wheeldon, Adrian; Shafik, Rishad; Rahman, Tousif; Lei, Jie; Yakovlev, Alex; Granmo, Ole-Christoffer

Learning automata based energy-efficient AI hardware design for IoT applications: Learning Automata based AI Hardware. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 1364-503X, Vol. 378, p. 1-18

Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer

Indoor Space Classification Using Cascaded LSTM. IEEE Conference on Industrial Electronics and Applications 2158-2297, p. 1110-1114

UIA

Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik

Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow. Cognitive Neurodynamics 1871-4080, Vol. 14, p. 675-687

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Lei, Jiao; Goodwin, Morten

The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. Progress in Artificial Intelligence. EPIA 2019 Springer ISBN 978-3-030-30244-3, p. 268-280

UIA

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Goodwin, Morten

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. Advances and Trends in Artificial Intelligence. From Theory to Practice. Springer Nature ISBN 978-3-030-22999-3, p. 564-578

UIA

Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Lei, Jiao; Goodwin, Morten

The regression Tsetlin machine: a novel approach to interpretable nonlinear regression. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 1364-503X

UIA

Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten

Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis. Proceedings of the [xx]th Conference of Open Innovations Association FRUCT 2305-7254

UIA UIA

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

Towards Model-Based Reinforcement Learning for Industry-Near Environments. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 11927 LNAI, p. 36-49

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

Towards Model-based Reinforcement Learning for Industry-near Environments. arXiv.org 2331-8422

UIA

Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Goodwin, Morten; Lei, Jiao; Matheussen, Bernt Viggo

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. IEEE Access 2169-3536, Vol. 7

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Berntzen, Lasse; Florea, Adrian; Molder, Cristian; Bouhmala, Noureddine

A Strategy for Drone Traffic Planning Dynamic Flight-paths for Drones in Smart Cities. SMART 2019, The Eighth International Conference on Smart Cities, Systems, Devices and Technologies International Academy, Research and Industry Association (IARIA) 8 ISBN 978-1-61208-730-6, p. 12-18

Glimsdal, Sondre; Granmo, Ole-Christoffer

Thompson sampling guided stochastic searching on the line for deceptive environments with applications to root-finding problems. Journal of machine learning research 1532-4435, Vol. 20

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Glimsdal, Sondre; Granmo, Ole-Christoffer

Thompson sampling based active learning in probabilistic programs with application to travel time estimation. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 11606 LNAI, p. 71-78

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Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Phoulady, Adrian; Goodwin, Morten

A Tsetlin Machine with Multigranular Clauses. Lecture Notes in Computer Science (LNCS) 0302-9743

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Granmo, Ole-Christoffer; Glimsdal, Sondre; Lei, Jiao; Goodwin, Morten; Omlin, Christian; Berge, Geir Thore

The Convolutional Tsetlin Machine. arXiv.org 2331-8422

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Havelock, Jessica; Oommen, John; Granmo, Ole-Christoffer

On Using “Stochastic Learning on the Line” to Design Novel Distance Estimation Methods for Three-Dimensional Environments. Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2019 Springer 11606 ISBN 978-3-030-22998-6, p. 39-49

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Jafari, Raheleh; Razvarz, Sina; Yu, Wen; Gegov, Alexander; Goodwin, Morten; Adda, Mo

Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. Intelligent Systems and Applications. IntelliSys 2019 Springer 1037 ISBN 978-3-030-29515-8, p. 228-236

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Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

Deregulated Electric Energy Price Forecasting in NordPool Market using Regression Techniques. 2019 IEEE Sustainable Power and Energy Conference (iSPEC) IEEE conference proceedings ISBN 978-1-7281-4931-8, p. 1932-1938

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

Load Demand Analysis of Nordic Rural Area with Holiday Resorts for Network Capacity Planning. 2019 4thInternational Conference on Smart and Sustainable Technologies(SpliTech) IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-953-290-091-0

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

Relative evaluation of regression tools for urban area electrical energy demand forecasting. Journal of Cleaner Production 0959-6526, Vol. 218, p. 555-564

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Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer

An Iterative Information Retrieval Approach from Social Media in Crisis Situations. 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) IEEE conference proceedings 2019 ISBN 978-1-7281-4920-2

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Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer

A Neural Turing~Machine for Conditional Transition Graph Modeling. arXiv.org 2331-8422

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Lazreg, Mehdi Ben; Noori, Nadia Saad; Comes, Tina; Goodwin, Morten

Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers. 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2019) Association for Computing Machinery (ACM) ISBN 978-1-4503-6934-3, p. 378-382

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Matheussen, Bernt Viggo; Granmo, Ole-Christoffer; Sharma, Jivitesh

Hydropower optimization using deep learning. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 11606 LNAI, p. 110-122

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Nunavath, Vimala; Goodwin, Morten

The Use of Artificial Intelligence in Disaster Management - A Systematic Literature Review. 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) IEEE conference proceedings 2019 ISBN 978-1-7281-4920-2

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Olsvik, Erlend; Trinh, Christian M.D.; Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten

Biometric fish classification of temperate species using convolutional neural network with squeeze-and-excitation. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 11606 LNAI, p. 89-101

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Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal

Modelling of Compressors in an Industrial CO 2-Based Operational Cooling System Using ANN for Energy Management Purposes. Engineering Applications of Neural Networks. EANN 2019. Springer ISBN 978-3-030-20256-9

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Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten

Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. arXiv.org 2331-8422

UIA

Sharma, Jivitesh; Giri, Charul; Granmo, Ole-Christoffer; Goodwin, Morten

Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP Journal on Information Security 2510-523X, Vol. 2019

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Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten

Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks. arXiv.org 2331-8422

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Sharma, Jivitesh; Matheussen, Bernt Viggo; Glimsdal, Sondre; Granmo, Ole-Christoffer

Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) IEEE conference proceedings ISBN 978-1-7281-4550-1

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Zhang, Xuan; Jiao, Lei; Oommen, John; Granmo, Ole-Christoffer

A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton. IEEE Transactions on Neural Networks and Learning Systems 2162-237X

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Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten

A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI) 1082-3409, Vol. 2018-November, p. 680-685

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Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten

Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks. NIKT: Norsk IKT-konferanse for forskning og utdanning 1892-0713

Albrigtsen, Svein Inge; Imenes, Alexander; Goodwin, Morten; Lei, Jiao; Nunavath, Vimala

Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. 19th International Conference on Engineering Applications of Neural Networks Springer Publishing Company 1 ISBN 978-3-319-98203-8, p. 94-105

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

The dreaming variational autoencoder for reinforcement learning environments. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 11311 LNAI, p. 143-155

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games . 2018 IEEE Conference on Computational Intelligence and Games (CIG) IEEE conference proceedings ISBN 978-1-5386-4359-4

Bouhmala, Noureddine

Combining simulated annealing with local search heuristic for MAX-SAT. Journal of Heuristics 1381-1231, p. 1-23

Bouhmala, Noureddine; Oseland, Mats G.L; Brådland, Øystein

Enhanced WalkSAT with Variable Neighborhood Search for MAX-SAT Problems. Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 Springer 15 ISBN 978-3-319-56993-2, p. 368-376

Bouhmala, Noureddine; Øvergård, Kjell Ivar; Hjelmervik, Karina

A Multilevel Evolutionary Algorithm Applied to the Maximum Satisfiability Problems . Machine Learning: Advanced Techniques and Emerging Applications IntechOpen ISBN 978-1-78923-752-8, p. 203-217

Dutt, Micheal; Nunavath, Vimala; Goodwin, Morten

A Multi-Layer Feed Forward Neural Network Approach for Diagnosing Diabetes. 11th International Conference on Developments in eSystems Engineering (DeSE) IEEE conference proceedings ISBN 978-1-5386-6712-5, p. 300-305

Glimsdal, Sondre; Granmo, Ole-Christoffer

A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem. Applied intelligence (Boston) 0924-669X, Vol. 48, p. 3735-3747

Havelock, Jessica; Oommen, John; Granmo, Ole-Christoffer

On using "Stochastic learning on the line" to design novel distance estimation methods. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 10868 LNAI, p. 34-42

Havelock, Jessica; Oommen, John; Granmo, Ole-Christoffer

Novel Distance Estimation Methods Using 'Stochastic Learning on the Line' Strategies. IEEE Access 2169-3536, Vol. 6, p. 48438-48454

Johannesen, Nils Jakob; Kolhe, Mohan Lal; Goodwin, Morten

Comparison of Regression Tools for Regional Electric Load Forecasting. 2018 3rd INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH) - IEEE IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-953-290-083-5, p. 304-309

Kamphaug, Åsmund; Granmo, Ole-Christoffer; Goodwin, Morten; Zadorozhny, Vladimir

Towards Open Domain Chatbots — A GRU Architecture for Data Driven Conversations. Internet Science - INSCI 2017 International Workshops IFIN, DATA ECONOMY, DSI, and CONVERSATIONS - LNCS10750 Springer Nature 10750 ISBN 978-3-319-77546-3, p. 2013-2022

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Lazreg, Mehdi Ben; Chakraborty, Narayan Ranjan; Stieglitz, Stefan; Potthoff, Tobias; Ross, Björn; Majchrzak, Tim A.

Social media analysis in crisis situations: Can social media be a reliable information source for emergency management services?. Information Systems Development: Designing Digitalization (ISD2018 Proceedings) Association for Information Systems (AIS) ISBN 978-91-7753-876-9

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Nunavath, Vimala; Goodwin, Morten

The Role of Artificial Intelligence in Social Media Big data Analytics for Disaster Management - Initial Results of a Systematic Literature Review. 2018 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) IEEE conference proceedings ISBN 978-1-5386-6638-8

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Nunavath, Vimala; Goodwin, Morten; Fidje, Jahn Thomas; Moe, Carl Erik

Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. 19th International Conference on Engineering Applications of Neural Networks Springer Publishing Company 1 ISBN 978-3-319-98203-8, p. 217-228

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Razvarz, Sina; Jafari, Raheleh; Granmo, Ole-Christoffer; Gegov, Alexander

Solution of Dual Fuzzy Equations Using a New Iterative Method. Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part II Springer 2018 ISBN 978-3-319-75419-2, p. 245-255

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Ross, Björn; Potthoff, Tobias; Majchrzak, Tim A.; Chakraborty, Narayan Ranjan; Lazreg, Mehdi Ben; Stieglitz, Stefan

The Diffusion of Crisis-Related Communication on Social Media: An Empirical Analysis of Facebook Reactions. Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS) 1530-1605

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Schøyen, Halvor; Bjorbæk, Clemet Thærie; Steger-Jensen, Kenn; Bouhmala, Noureddine; Burki, Umar; Jensen, Tor Erik; Berg, Øivind

Measuring the contribution of logistics service delivery performance outcomes and deep-sea container liner connectivity on port efficiency. Research in Transportation Business and Management (RTBM) 2210-5395

Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten

Deep CNN-ELM Hybrid Models for Fire Detection in Images. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. LNCS 11141, p. 245-259

Svendsen, Arne Brufladt; Tollefsen, Trond; Gjengedal, Terje; Goodwin, Morten; Antonsen, Stian

Digitalization of the power business: How to make this work?. Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway CRC Press ISBN 9781351174657, p. 2513-2520

Abomhara, Mohamed Ali Saleh; Yang, Huihui; Køien, Geir Myrdahl; Lazreg, Mehdi Ben

Work-Based Access Control Model for Cooperative Healthcare Environments: Formal Specification and Verification. Journal of Healthcare Informatics Research 2509-4971

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

FlashRL: A Reinforcement Learning Platform for Flash Games. NIKT: Norsk IKT-konferanse for forskning og utdanning 1892-0713

Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer

Towards a deep reinforcement learning approach for tower line wars. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 10630 LNAI, p. 101-114

Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn

Combining Unsupervised, Supervised, and Rule-based Algorithms for Text Mining of Electronic Health Records-A Clinical Decision Support System for Identifying and Classifying Allergies of Concern for Anesthesia During Surgery. Information Systems Development: Advances in Methods, Tools and Management (ISD2017 Proceedings) Association for Information Systems (AIS) ISBN 978-9963-2288-3-6

Bouhmala, Nourddine; Oseland, Mats G.L; Brådland, Øystein

WalkSAT based-learning automata for MAX-SAT. Advances in Intelligent Systems and Computing 2194-5357, Vol. 576, p. 98-110

Bouhmala, Nourddine; Øvergård, Kjell Ivar

Combining Genetic Algorithm with Variable Neighborhood Search for MAX-SAT. COMPSE 2016, First EAI International Conference on Computer Science and Engineering. EAI (European Alliance for Innovation) 1 ISBN 9781631901362

Bouhmala, Noureddine; Helgesen, Halvard Sanness; Mathisen, Knut Morten

A multilevel genetic algorithm for the maximum constraint satisfaction problem. Advances in Intelligent Systems and Computing 2194-5357, Vol. 576, p. 3-15

Bouhmala, Noureddine; Øvergård, Kjell Ivar

Combining Genetic Algorithm with Variable Neighborhood Search for MAX-SAT. Innovative Computing, Optimization and Its Applications Springer 741 ISBN 978-3-319-66983-0, p. 73-92

Fidje, Jahn Thomas; Granmo, Ole-Christoffer; Haraldseid, Christian Kråkevik; Goodwin, Morten; Matheussen, Bernt Viggo

A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. Artificial Intelligence XXXIV: 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings Springer Publishing Company 10630 ISBN 978-3-319-71077-8

Goodwin, Morten; Tufteland, Torry; Ødesneltvedt, Guro; Yazidi, Anis

PolyACO+: a multi-level polygon-based ant colony optimisation classifier. Swarm Intelligence 1935-3812, Vol. 11, p. 317-346

Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer

Vector Representation of Non-standard Spellings Using Dynamic Time Wrapping and a Denoising Autoencoder. 2017 IEEE Congress on Evolutionary Computation (CEC) IEEE conference proceedings ISBN 978-1-5090-4601-0, p. 1444-1450

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Ølberg, Jan-Vidar; Goodwin, Morten

Automated Dental Identification with Lowest Cost Path-Based Teeth and Jaw Separation. Scandinavian Journal of Forensic Science 2353-0707

Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten; Fidje, Jahn Thomas

Deep convolutional neural networks for fire detection in images. Communications in Computer and Information Science 1865-0929, Vol. 744, p. 183-193

Yazidi, Anis; Oommen, John; Goodwin, Morten

Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 10604 , p. 741-753

Abomhara, Mohamed Ali Saleh; Lazreg, Mehdi Ben

UML/OCL-based modeling of work-based access control policies for collaborative healthcare systems. 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), IEEE conference proceedings ISBN 978-1-5090-3370-6

Andersen, Per-Arne; Haraldseid, Christian Kråkevik; Goodwin, Morten; Yazidi, Anis

Adaptive Task Assignment in Online Learning Environments. Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016 Association for Computing Machinery (ACM) ISBN 978-1-4503-4056-4, p. 1-10

Bouhmala, Nourddine

How Good is the Euclidean Distance Metric for the Clustering Problem. 2016 5th IIAI International Congress on Advanced Applied Informatics: IIAI-AAI 2016 IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-1-4673-8985-3, p. 312-315

Bouhmala, Nourddine

A Simple and Efficient Variable Neighborhood Structure For The Satisfiability Problem. Proceedings of META’2016 6th International Conference on Metaheuristics and Nature Inspired computing International Conference on Metaheuristics, p. 126-133

Bouhmala, Nourddine

Combining Genetic Algorithm with the Multilevel Paradigm for the Maximum Constraint Satisfaction Problem. Machine Learning, Optimization, and Big Data: Second International Workshop, MOD 2016 Volterra, Italy, August 26–29, 2016 Revised Selected Papers Springer 10122 ISBN 978-3-319-51468-0, p. 330-340

Bouhmala, Nourddine

Enhanced Meta-heuristics with Variable Neighborhood Search Strategy for Combinatorial Optimization Problems. Advances and Applications in Discrete Mathematics 0974-1658, Vol. 17, p. 125-149

Bouhmala, Nourddine

A multilevel genetic algorithm for the clustering problem. International Journal of Information and Communication Technology 1466-6642, Vol. 9, p. 101-116

Bouhmala, Nourddine

A variable neighbourhood search structure based-genetic algorithm for combinatorial optimisation problems. International Journal of Intelligent Systems Technologies and Applications 1740-8865, Vol. 15, p. 127-146

Bouhmala, Nourddine; Grøsland, Mikkel Syse; Volden-Freberg, Vetle

Enhanced Metaheuristics with the Multilevel Paradigm for MAX-CSPs. Computational Science and Its Applications – ICCSA 2016 Springer 9789 ISBN 978-3-319-42088-2, p. 543-553

Bouhmala, Nourddine; Viken, Anders; Lønnum, Jonas Blåsås

A Multilevel K-Means Algorithm for the Clustering Problem. Proceedings of 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA 2016) IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-1-5090-2594-7, p. 115-121

Goodwin, Morten; Drange, Tom

Teaching Programming to Large Student Groups through Test Driven Development - Comparing Established Methods with Teaching based on Test Driven Development. CSEDU 2016 Proceedings of the 8th International Conference on Computer Supported Education, proceedings volume 1 SciTePress ISBN 978-989-758-179-3, p. 281-288

Goodwin, Morten; Yazidi, Anis

Ant colony optimisation-based classification using two-dimensional polygons. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 9882 LNCS, p. 53-64

Goodwin, Morten; Yazidi, Anis

A pattern recognition approach for peak prediction of electrical consumption. Integrated Computer-Aided Engineering 1069-2509, Vol. 23, p. 101-113

Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller

Distributed learning automata for solving a classification task. 2016 IEEE Congress on Evolutionary Computation, IEEE World Congrees on Computational Intelligence 2016 IEEE conference proceedings ISBN 978-1-5090-0622-9, p. 3999-4006

Granmo, Ole-Christoffer

Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation. 2016 15th IEEE International Conference on Machine Learning and Applications IEEE conference proceedings ISBN 978-1-5090-6166-2, p. 222-226

Hansen, Bjørnar; Loland, Leonard Christopher; Goodwin, Morten; Granmo, Ole-Christoffer

Towards Evacuation Planning of Groups with Genetic Algorithms. The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS) Linköping University Electronic Press 129 ISBN 978-91-7685-720-5, p. 20-30

Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer

Information abstraction from crises related tweets using recurrent neural network. IFIP Advances in Information and Communication Technology 1868-4238, Vol. 475, p. 441-452

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Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer

Deep Learning for Social Media Analysis in Crises Situations. The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS) Linköping University Electronic Press 129 ISBN 978-91-7685-720-5, p. 31-36

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Lei, Jiao; Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer

Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach. Applied intelligence (Boston) 0924-669X, Vol. 44, p. 307-321

Tufteland, Torry; Ødesneltvedt, Guro; Goodwin, Morten

Optimizing PolyACO training with GPU-based parallelization. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 9882 LNCS, p. 233-240

Yazidi, Anis; Oommen, John; Goodwin, Morten

On solving the problem of identifying unreliable sensors without a knowledge of the ground truth: the case of stochastic environments. IEEE Transactions on Cybernetics 2168-2267, Vol. 47, p. 1604-1617

Yazidi, Anis; Oommen, John; Horn, Geir Henrik; Granmo, Ole-Christoffer

Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments. Pattern Recognition 0031-3203, Vol. 60, p. 430-443

Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer

The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality. Pattern Analysis and Applications 1433-7541, p. 1-12

Bouhmala, Nourddine

A multilevel learning automata for MAX-SAT. International Journal of Machine Learning and Cybernetics 1868-8071, Vol. 6, p. 911-921

Bouhmala, Nourddine

A Variable Depth Search Algorithm for Binary Constraint Satisfaction Problems. Mathematical Problems in Engineering 1024-123X, Vol. 2015

Bouhmala, Nourddine; Hjelmervik, Karina Bakkeløkken; Øvergård, Kjell Ivar

A Generalized Variable Neighborhood Search For Combinatorial Optimization Problems. Electronic Notes in Discrete Mathematics 1571-0653, Vol. 47, p. 45-52

Bouhmala, Nourddine; Viken, Anders; Lønnum, Jonas Blåsås

Enhanced Genetic Algorithm with K-Means for the Clustering Problem. International Journal of Modeling and Optimization 2010-3697, Vol. 5, p. 150-154

Glimsdal, Sondre; Granmo, Ole-Christoffer

Thompson Sampling Guided Stochastic Searching on the Line for Non-Stationary Adversarial Learning. 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA) IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-1-5090-0287-0, p. 687-692

Glimsdal, Sondre; Granmo, Ole-Christoffer

Thompson sampling guided stochastic searching on the line for adversarial learning. IFIP Advances in Information and Communication Technology 1868-4238, Vol. 458, p. 307-317

Goodwin, Morten; Auby, Christian; Andersen, Rune; Barstad, Vera

Educating Programming Students for the Industry. Digital Media in Teaching and its Added Value Waxmann Verlag ISBN 978-3-8309-3287-1, p. 100-118

Lazreg, Mehdi Ben; Radianti, Jaziar; Granmo, Ole-Christoffer

A Bayesian network model for fire assessment and prediction. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 9432, p. 269-279

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Lazreg, Mehdi Ben; Radianti, Jaziar; Granmo, Ole-Christoffer

SmartRescue: Architecture for Fire Crisis Assessment and Prediction. 12th International Conference on Information Systems for Crisis Response and Management ISCRAM 2015 ISBN 978-82-7117-788-1

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Lian, Thomas Andreé; Llave, Marilex Rea; Goodwin, Morten; Bouhmala, Nourddine

Towards multilevel ant colony optimisation for the Euclidean symmetric traveling salesman problem. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 9101, p. 222-231

Matheussen, Bernt Viggo; Granmo, Ole-Christoffer

Modeling snow dynamics using a bayesian network. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 9101, p. 382-393

Radianti, Jaziar; Granmo, Ole-Christoffer; Bouhmala, Noureddine; Sarshar, Parvaneh; Gonzalez, Jose J

Comparing Different Crowd Emergency Evacuation Models Based on Human Centered Sensing Criteria. International Journal of Information Systems for Crisis Response and Management (IJISCRAM) 1937-9390, Vol. 6, p. 53-70

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Radianti, Jaziar; Lazreg, Mehdi Ben; Granmo, Ole-Christoffer

Fire simulation-based adaptation of SmartRescue App for serious game: Design, setup and user experience. Engineering Applications of Artificial Intelligence 0952-1976, Vol. 46, p. 312-325

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Tollisen, Robin; Jansen, Jon Vegard; Goodwin, Morten; Glimsdal, Sondre

AIs for dominion using monte-carlo tree search. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 9101, p. 43-52

Webersik, Christian; Gonzalez, Jose J; Dugdale, Julie Anne; Munkvold, Bjørn Erik; Granmo, Ole-Christoffer

Towards an integrated approach to emergency management: interdisciplinary challenges for research and practice. Culture Unbound. Journal of Current Cultural Research 2000-1525, Vol. 7, p. 524-540

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Yazidi, Anis; Oommen, John; Goodwin, Morten

On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015, Volume II. IEEE (Institute of Electrical and Electronics Engineers) ISBN 978-1-4673-9618-9, p. 104-111

Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer; Lei, Jiao

A formal proof of the e-optimality of discretized pursuit algorithms. Applied intelligence (Boston) 0924-669X

Barstad, Vera; Goodwin, Morten; Gjøsæter, Terje

Predicting Source Code Quality with Static Analysis and Machine Learning. NIKT: Norsk IKT-konferanse for forskning og utdanning 1892-0713, Vol. 2014

Bouhmala, Nourddine

Enhanced Walksat With Finite Learning Automata for MAX-SAT. International Journal of Combinatorial Optimization Problems and Informatics 2007-1558, Vol. 5, p. 20-36

Bouhmala, Nourddine

A Variable Neighborhood Walksat-Based Algorithm for MAX-SAT Problems. Scientific World Journal 1537-744X, Vol. 2014

Evensen, John Daniel; Lindahl, Sindre; Goodwin, Morten

File-type Detection Using Naïve Bayes and n-gram Analysis. Norsk Informasjonssikkerhetskonferanse (NISK) 1893-6563

Glimsdal, Sondre; Granmo, Ole-Christoffer

A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems. 2014 13th International Conference on Machine Learning and Applications (ICMLA) IEEE conference proceedings ISBN 978-1-4799-7415-3, p. 594-599

Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar

Escape planning in realistic fire scenarios with Ant Colony Optimisation. Applied intelligence (Boston) 0924-669X, Vol. 42, p. 24-35

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Goodwin, Morten; Yazidi, Anis

A Pattern Recognition Approach for Peak Prediction of Electrical Consumption. Artificial Intelligence Applications and Innovations. 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014, Proceedings Springer 1 ISBN 978-3-662-44653-9, p. 265-275

Gupta, Neha; Granmo, Ole-Christoffer; Agrawala, Ashok

Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-Armed Bandit Problems. 2013 12th International Conference on Machine Learning and Applications (ICMLA 2013) Curran Associates, Inc. ISBN 9781479941551, p. 252-257

Haugland, Vegard; Kjølleberg, Marius; Larsen, Svein-Erik; Granmo, Ole-Christoffer

A two-armed bandit collective for hierarchical examplar based mining of frequent itemsets with applications to intrusion detection. Transactions on Computational Collective Intelligence XIV Springer 8615 ISBN 9783662445099

Karlsen, Lasse; Goodwin, Morten

Evaluating prediction models for electricity consumption. NIKT: Norsk IKT-konferanse for forskning og utdanning 1892-0713, Vol. 2014

Lei, Jiao; Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, John

A Bayesian Learning Automata-Based Distributed Channel Selection Scheme. Modern Advances in Applied Intelligence, 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014,Kaohsiung, Taiwan, June 3-6, 2014, Part II Springer 8482 ISBN 978-3-319-07455-9, p. 48-57

Radianti, Jaziar; Dugdale, Julie Anne; Gonzalez, Jose J; Granmo, Ole-Christoffer

Smartphone sensing platform for emergency management. Proceedings ISCRAM2014 , 11th International Conference on Information Systems for Crisis Response and Management The Pennsylvania State University ISBN 978-0-692-21194-6, p. 379-383

UIA

Radianti, Jaziar; Gonzalez, Jose J; Granmo, Ole-Christoffer

Publish-subscribe smartphone sensing platform for the acute phase of a disaster: A framework for emergency management support. 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS 2014) Curran Associates, Inc. ISBN 978-1-4799-2737-1, p. 285-290

UIA

Radianti, Jaziar; Granmo, Ole-Christoffer

A Framework for Assessing the Condition of Crowds Exposed to a Fire Hazard Using a Probabilistic Model. International Journal of Machine Learning and Computing 2010-3700, Vol. 4, p. 14-20

UIA

Radianti, Jaziar; Granmo, Ole-Christoffer; Sarshar, Parvaneh; Goodwin, Morten; Dugdale, Julie Anne; Gonzalez, Jose J

A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters. Applied intelligence (Boston) 0924-669X, Vol. 42, p. 3-23

UIA

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John; Goodwin, Morten

A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme. IEEE Transactions on Cybernetics 2168-2267, Vol. 44, p. 2202-2220

Yazidi, Anis; Oommen, John; Granmo, Ole-Christoffer; Goodwin, Morten

On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 IEEE conference proceedings ISBN 978-1-4799-7981-3, p. 32-37

Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, John; Lei, Jiao

A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions. Applied intelligence (Boston) 0924-669X, Vol. 41, p. 974-985

Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer; Lei, Jiao

Using the Theory of Regular Functions to Formally Prove the ε -Optimality of Discretized Pursuit Learning Algorithms. Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014, Proceedings, Part I Springer 8481 ISBN 978-3-319-07467-2, p. 379-388

Barstad, Vera; Shulgin, Volodymyr; Goodwin, Morten; Gjøsæter, Terje

Towards a Collaborative Code Review Plugin. Norsk informatikkonferanse NIK 2013, Universitetet i Stavanger, 18. - 20.november 2013 Akademika forlag 2013 ISBN 978-82-321-0365-2, p. 37-40

Bouhmala, Nourddine

Multilevel diversification and intensification in metaheuristics. 2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA) IEEE conference proceedings ISBN 978-1-4799-0299-6

Bouhmala, Nourddine; Hjelmervik, Karina Bakkeløkken; Øvergård, Kjell Ivar

Hybrid of evolutionary algorithm and multilevel paradigm to solve the satisfiability problem. Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM) IEEE conference proceedings ISBN 978-2-9600532-4-1, p. 1-4

Bouhmala, Nourddine; Hjelmervik, Karina Bakkeløkken; Øvergård, Kjell Ivar

Combining Evolutionary Algorithm With The Multilevel Paradigm For The Simulation Of Complex System. Proceedings 27th European Conference on Modelling and Simulation ECMS 2013, May 27th - May 30th, 2013, Ålesund, Norway ECMS European Council for Modelling and Simulation ISBN 978-0-9564944-6-7, p. 753-757

Bouhmala, Nourddine; Reiersen, Jon

Matching structure and the evolution of cooperation in the prisoner’s dilemma. International Journal of Computer Science & Information Technology (IJCSIT) 0975-4660, Vol. 5, p. 109-119

Bouhmala, Nourddine; Reiersen, Jon

Segregation and the Evolution of Cooperation. Knowledge Engineering and Management : Proceedings of the Seventh International Conference on Intelligent Systems and Knowledge Engineering Springer ISBN 978-3642378317, p. 127-138

Goodwin, Morten

Towards Automatic Assessment of Government Web Sites. Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics WIMS'13 Association for Computing Machinery (ACM) ISBN 978-1-4503-1850-1

Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar; Sarshar, Parvaneh; Glimsdal, Sondre

Ant Colony Optimisation for Planning Safe Escape Routes. Recent Trends in Applied Artificial Intelligence Springer 1 ISBN 978-3-642-38576-6, p. 53-62

UIA

Granmo, Ole-Christoffer; Glimsdal, Sondre

Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game. Applied intelligence (Boston) 0924-669X, Vol. 38, p. 479-488

Granmo, Ole-Christoffer; Radianti, Jaziar; Goodwin, Morten; Dugdale, Julie Anne; Sarshar, Parvaneh; Glimsdal, Sondre; Gonzalez, Jose J

A Spatio-Temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning. Recent Trends in Applied Artificial Intelligence Springer 1 ISBN 978-3-642-38576-6, p. 63-72

UIA

Jensen, Bjørn; Bouhmala, Nourddine; Nordli, Thomas

A novel tangent based framework for optimizing continuous functions. Journal of Emerging Trends in Computing and Information Sciences (CIS) 2079-8407, Vol. 4, p. 239-247

Radianti, Jaziar; Granmo, Ole-Christoffer; Bouhmala, Nourddine; Sarshar, Parvaneh; Yazidi, Anis; Gonzalez, Jose J

Crowd Models for Emergency Evacuation: A Review Targeting Human-Centered Sensing. 46th Hawaii International Conference on System Sciences (HICSS) IEEE (Institute of Electrical and Electronics Engineers) . ISBN 978-1-4577-1925-7, p. 156-165

UIA

Sarshar, Parvaneh; Radianti, Jaziar; Granmo, Ole-Christoffer; Gonzalez, Jose J

A Bayesian Network Model for Evacuation Time Analysis During a Ship Fire. 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE) IEEE conference proceedings ISBN 9781467358491, p. 100-107

UIA

Sarshar, Parvaneh; Radianti, Jaziar; Granmo, Ole-Christoffer; Gonzalez, Jose J

A Dynamic Bayesian Network Model for Predicting Congestion During a Ship Fire Evacuation. Proceedings of The World Congress on Engineering and Computer Science (WCECS) 2013 : Vol I International Association of Engineers ISBN 978-988-19252-3-7

UIA

Stensby, Aleksander; Granmo, Ole-Christoffer; Oommen, John

The use of weak estimators to achieve language detection and tracking in multilingual documents. International Journal of Pattern Recognition and Artificial Intelligence 0218-0014, Vol. 27

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John

Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns. IEEE Transactions on Cybernetics 2168-2267, Vol. 43, p. 1118-1130

Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, John

On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata. Applied intelligence (Boston) 0924-669X, Vol. 39, p. 782-792

Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, John; Lei, Jiao

On Using the Theory of Regular Functions to Prove the Epsilon-Optimality of the Continuous Pursuit Learn- ing Automaton. Recent Trends in Applied Artificial Intelligence Springer 1 ISBN 978-3-642-38576-6, p. 262-271

Zhang, Xuan; Lei, Jiao; Granmo, Ole-Christoffer; Oommen, John

Channel selection in cognitive radio networks: A switchable Bayesian learning automata approach. 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) IEEE conference proceedings ISBN 978-1-4673-6234-4, p. 2362-2367

Bouhmala, Nourddine

A multilevel approach applied to SAT-encoded problems. VLSI design IntechOpen ISBN 978-953-307-884-7, p. 167-182

Bouhmala, Nourddine

A multilevel memetic algorithm for large SAT-encoded problems. Evolutionary Computation 1063-6560, Vol. 20, p. 641-664

Bouhmala, Nourddine; Hjelmervik, Karina Bakkeløkken; Øvergård, Kjell Ivar

Single vs hierarchical population-basedmemetic algorithm for SAT-encodedindustrial problems:a statistical comparison. International Journal of Artificial Intelligence & Applications 0976-2191, Vol. 3, p. 57-73

Bouhmala, Nourddine; Salih, Sirar

A multilevel tabu search for the maximum satisfiability problem. International Journal of Communications, Network and System Sciences 1913-3715, Vol. 5, p. 661-670

Goodwin, Morten; Iain, Sutherland; Roarson, Frode; Drange, Tom

Assessing the Accessibility of E-learning. NOKOBIT 2012 :Universitetet i Nordland 19. - 21. november 2012 : Norsk konferanse for organisasjoners bruk av informasjonsteknologi Akademika forlag 2012 ISBN 978-82-321-0185-6, p. 145-158

Granmo, Ole-Christoffer; Oommen, John; Pedersen, Asle

Achieving Unbounded Resolution in Finite Player Goore Games Using Stochastic Automata, and Its Applications. Sequential Analysis 0747-4946, Vol. 31, p. 190-218

Nietzio, Annika; Eibegger, Mandana; Goodwin, Morten; Snaprud, Mikael

Following the WCAG 2.0 Techniques: Experiences from Designing a WCAG 2.0 Checking Tool. Computers Helping People with Special Needs 13th International Conference, ICCHP 2012, Linz, Austria, July 11-13, 2012, Proceedings, Part I Springer Science+Business Media B.V. 7382 ISBN 978-3-642-31521-3, p. 417-424

Oommen, John; Yazidi, Anis; Granmo, Ole-Christoffer

An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators. Journal of Information Processing Systems 1976-913X, Vol. 8, p. 191-212

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John

A Stochastic Search on the Line-Based Solution to Discretized Estimation. Advanced Research in Applied Artificial Intelligence : 25th International Conference 25th International Conference on Industrial Engineering and OtherApplications of Applied Intelligent Systems, IEA/AIE 2012 Dalian, China, June 9-12, 2012 Proceedings Springer 7345 ISBN 978-3-642-31086-7, p. 764-773

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John

Service selection in stochastic environments: a learning-automaton based solution. Applied intelligence (Boston) 0924-669X, Vol. 36, p. 617-637

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John; Goodwin, Morten

A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem. Advanced Research in Applied Artificial Intelligence : 25th International Conference 25th International Conference on Industrial Engineering and OtherApplications of Applied Intelligent Systems, IEA/AIE 2012 Dalian, China, June 9-12, 2012 Proceedings Springer 7345 ISBN 978-3-642-31086-7, p. 774-783

Yazidi, Anis; Oommen, John; Granmo, Ole-Christoffer

A Novel Stochastic Discretized Weak Estimator Operating in Non-Stationary Environments. 2012 International Conference on Computing, Networking and Communications (ICNC) IEEE Sarnoff Symposium ISBN 978-1-4673-0009-4, p. 364-370

Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, John

Discretized Bayesian Pursuit – A New Scheme for Reinforcement Learning. Advanced Research in Applied Artificial Intelligence : 25th International Conference 25th International Conference on Industrial Engineering and OtherApplications of Applied Intelligent Systems, IEA/AIE 2012 Dalian, China, June 9-12, 2012 Proceedings Springer 7345 ISBN 978-3-642-31086-7, p. 784-793

Bouhmala, Nourddine; Granmo, Ole-Christoffer

GSAT Enhanced with Learning Automata and Multilevel Paradigm. International Journal of Computer Science Issues 1694-0784, Vol. 8, p. 38-54

Goodwin, Morten

A solution to the exact match on rare item searches. Proceedings of WIMS '11, International Conference on Web Intelligence, Mining ACM Publications ISBN 978-1-4503-0148-0

Granmo, Ole-Christoffer; Glimsdal, Sondre

A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning. Modern Approaches in Applied Intelligence24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 – July 1, 2011, Proceedings, Part II Springer 6704 ISBN 978-3-642-21826-2, p. 532-541

Granmo, Ole-Christoffer; Oommen, John

Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem. Engineering Applications of Artificial Intelligence 0952-1976, Vol. 24, p. 1238-1251

Gupta, Neha; Granmo, Ole-Christoffer; Agrawala, Ashok

Successive Reduction of Arms in Multi-Armed Bandits. Research and Development in Intelligent Systems Springer ISBN 9781447123187, p. 181-194

Gupta, Neha; Granmo, Ole-Christoffer; Agrawala, Ashok

Thompson Sampling for Dynamic Multi-armed Bandits. 2011 10th International Conference on Machine Learning and Applications and Workshops IEEE (Institute of Electrical and Electronics Engineers) ISBN 9780769546070, p. 484-489

Haugland, Vegard; Kjølleberg, Marius; Larsen, Svein-Erik; Granmo, Ole-Christoffer

A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection. Computational Collective Intelligence.Technologies and Applications. Third International Conference, ICCCI 2011 Gdynia, Poland, September 21-23, 2011 Proceedings, Part I Springer 6922 ISBN 978-3-642-23934-2, p. 72-81

Haugland, Vegard; Kjølleberg, Marius; Larsen, Svein-Erik; Granmo, Ole-Christoffer

A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 6922, p. 72-81

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John

A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes. Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part I Springer 6678 ISBN 978-3642212185, p. 11-21

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John

ON THE ANALYSIS OF A NEW MARKOV CHAIN WHICH HAS APPLICATIONS IN AI AND MACHINE LEARNING. Proceedings, 24th Canadian conference on electrical and computer engineering (CCECE 2011) IEEE conference proceedings ISBN 9781424497898, p. 1553-1558

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John

Tracking the Preferences of Users Using Weak Estimators. AI 2011: Advances in Artificial Intelligence. 24th Australasian Joint Conference Perth, Australia, December 5-8, 2011. Proceedings Springer 7106 ISBN 978-3-642-25831-2, p. 799-808

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John

On the Analysis of a RandomInterleaving Walk-Jump Process with Applications to Testing. Sequential Analysis 0747-4946, Vol. 30, p. 457-478

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John; Gerdes, Martin; Reichert, Frank

A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments. Wireless Personal Communications 0929-6212, Vol. 61, p. 543-566

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John; Reichert, Frank; Gerdes, Martin

An Intelligent Architecture for Service Provisioning in Pervasive Environments. Proceedings, 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA'11) IEEE conference proceedings ISBN 978-1-61284-919-5, p. 524-530

Zhang, Xuan; Granmo, Ole-Christoffer; Oommen, John

The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata. Modern Approaches in Applied Intelligence24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 – July 1, 2011, Proceedings, Part II Springer 6704 ISBN 978-3-642-21826-2, p. 522-531

Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer

Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems. Artificial Intelligence Applications and Innovations 12th INNS EANN-SIG International Conference,EANN2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011 Corfu, Greece, September 15-18, 2011 Proceedings , Part II Springer 364 ISBN 978-3-642-23959-5, p. 122-131

Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer

Generalized Bayesian pursuit: a novel scheme for multi-armed Bernoulli bandit problems. IFIP Advances in Information and Communication Technology 1868-4238, Vol. 364, p. 122-131

Bouhmala, Noureddine; Granmo, Ole-Christoffer

Stochastic Learning for SAT- Encoded Graph Coloring Problems. International Journal of Applied Metaheuristic Computing 1947-8283, Vol. 1, p. 1-19

Bouhmala, Noureddine; Granmo, Ole-Christoffer

Combining finite learning automata with GSAT for the satisfiability problem. Engineering Applications of Artificial Intelligence 0952-1976, Vol. 23, p. 715-726

Granmo, Ole-Christoffer

Solving Two-Armed Bernoulli Bandit Problems Using a Bayesian Learning Automaton. International Journal of Intelligent Computing and Cybernetics 1793-5423, Vol. 3, p. 207-234

Granmo, Ole-Christoffer; Berg, Stian

Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 6098, p. 199-208

Granmo, Ole-Christoffer; Bouhmala, Nourddine

Using Learning Automata to Enhance Local-Search Based SAT Solvers with Learning Capability. Application of Machine Learning IntechOpen ISBN 978-953-307-035-3, p. 63-85

Granmo, Ole-Christoffer; Bouhmala, Nourddine

Enhancing Local-search based SAT Solvers with Learning Capability. ICAART 2010, 2nd International Conference on Agents and Artificial Intelligence, Proceedings Institute for Systems and Technologies of Information, Control and Communication ISBN 978-989-674-021-4, p. 515-521

Granmo, Ole-Christoffer; Granmo, Ole Christoffer; Oommen, John

Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata. IEEE transactions on computers 0018-9340, Vol. 59, p. 545-560

Granmo, Ole-Christoffer; Oommen, John

Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem. Applied intelligence (Boston) 0924-669X, Vol. 33, p. 3-20

Nietzio, Annika; Olsen, Morten Goodwin; Snaprud, Mikael Odd H.

Accessibility of eGovernment web sites: Towards a collaborative retrofitting approach. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 6179

Norheim, Thomas; Brådland, Terje; Granmo, Ole-Christoffer; Oommen, John

A Generic Solution to Multi-Armed Bernoulli Bandit Problems Based on Random Sampling from Sibling Conjugate Priors. ICAART 2010, 2nd International Conference on Agents and Artificial Intelligence, Proceedings Institute for Systems and Technologies of Information, Control and Communication ISBN 978-989-674-021-4, p. 36-44

Olsen, Morten Goodwin; Snaprud, Mikael Odd H.; Nietzio, Annika

Automatic Checking of Alternative Texts on Web Pages. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 6179

Stensby, Aleksander; Oommen, John; Granmo, Ole-Christoffer

Language Detection and Tracking in Multilingual Documents Using Weak Estimators. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 6218, p. 600-609

Yazidi, Anis; Granmo, Ole-Christoffer; Lin, M.; Wen, X; Oommen, John; Gerdes, Martin; Reichert, Frank

Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 6230, p. 327-338

Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John

A Learning Automata Based Solution to Service Selection in Stochastic Environments. Lecture Notes in Computer Science (LNCS) 0302-9743, p. 209-218

Berntzen, Lasse; Olsen, Morten Goodwin

Benchmarking e-government : A comparative review of three international benchmarking studies. The Third International Conference on the Digital Society (ICDS 2009) IEEE (Institute of Electrical and Electronics Engineers), p. 77-82

Granmo, Ole-Christoffer

The Bayesian Learning Automaton - Empirical Evaluation with Two-Armed Bernoulli Bandit Problems. Proceedings of AI-2008, The Twenty-eight SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence Springer ISBN 9781848822146, p. 235-248

Granmo, Ole-Christoffer; Oommen, B. John

Learning Automata-based Solutions to Stochastic Nonlinear Resource Allocation Problems. Intelligent Systems for Knowledge Management Springer 252 ISBN 9783642041693, p. 1-30

Granmo, Ole-Christoffer; Oommen, B. John

A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling. Next-Generation Applied Intelligence : 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings Springer 5579/2009, p. 523-534

Oommen, B. John; Granmo, Ole-Christoffer

Learning automata-based solutions to the Goore game and its applications. Game theory: strategies, equilibria, and theorems Nova Science Publishers ISBN 978-1-604-56844-8, p. 183-216

Oommen, B. John; Granmo, Ole-Christoffer; Liang, Z.

A Novel Multidimensional Scaling Technique for Mapping Word-Of-Mouth Discussions. Opportunities and Challenges for next Generation Applied Intelligence Springer 214 ISBN 978-3-540-92813-3

Bouhmala, Noureddine; Bouhmala, Noureddine; Granmo, Ole-Christoffer

Solving Graph Coloring Problems using Learning Automata. Evolutionary Computation in Combinatorial Optimization : 8th European conference, EVOCOP 2008, Naples, Italy, March 26-28, 2008 : proceedings Springer, p. 277-288

Bouhmala, Noureddine; Cai, Xing

A Mulitlevel Greedy Algorithm for the Satisfiability Problem. Greedy Algorithms IN-TECH, p. 39-54

Granmo, Ole-Christoffer

A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems. Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on IEEE Press, p. 23-30

Granmo, Ole-Christoffer; Oommen, B. John

A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling. Proceedings of IEA/AIE 2008, 21'st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems Springer 5027, p. 347-358

Kim, Sang-Woon; Oommen, B. John; Samuel, Mathew; Granmo, Ole-Christoffer

A solution to the stochastic point location problem in metalevel nonstationary environments. IEEE Transactions on Cybernetics 1083-4419, Vol. 38, p. 466-476

Ulltveit-Moe, Nils; Olsen, Morten Goodwin; Pillai, Anand Balachandran; Thomsen, Christian; Gjøsæter, Terje; Snaprud, Mikael Odd H.

Architecture for large-scale automatic web accessibility evaluation based on the UWEM methodology. Norsk informatikkonferanse : NIK 2008 Tapir Akademisk Forlag, p. 95-106

Cai, Xing; Bouhmala, Noureddine

A unified framework of multi-objective cost functions for partitioning unstructured finite element meshes. Applied Mathematical Modelling 0307-904X, Vol. 31, p. 1711-1728

SIGMA2

Granmo, Ole-Christoffer; Bouhmala, Noureddine; Bouhmala, Noureddine

Solving the Satisfiability Problem Using Finite Learning Automata. International Journal of Computer Science and Applications 0972-9038, Vol. 4, p. 15-29

Granmo, Ole-Christoffer; Myrer, Svein Arild; Oommen, B. John; Olsen, Morten Goodwin

Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation. IEEE Transactions on Cybernetics 1083-4419, Vol. 37, p. 166-175

Granmo, Ole-Christoffer; Oommen, B. John

On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems. Proceedings of the 20th Australian Joint Conference on Artificial Intelligence (AI 2007) Springer 4830, p. 36-47

Granmo, Ole-Christoffer; Pedersen, Asle; Oommen, B. John

Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications. Proceedings of the IEEE IEEE (Institute of Electrical and Electronics Engineers), p. 161-167

Kim, Sang-Woon; Samuel, Mathew; Granmo, Ole-Christoffer; Oommen, B. John

Stochastic Point Location in Non-stationary Environments and Its Applications. Proceedings of the Twentieth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2007) Springer 4570, p. 845-854

Oommen, B. John; Misra, Sudip; Granmo, Ole-Christoffer

Routing bandwidth-guaranteed paths in MPLS traffic engineering: A multiple race track learning approach. IEEE transactions on computers 0018-9340, Vol. 56, p. 959-976

Eide, Viktor S W; Granmo, Ole-Christoffer; Eliassen, Frank; Michaelsen, Jørgen Andreas

Real-time Video Content Analysis : QoS-aware Application Composition and Parallel Processing. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) 1551-6857, Vol. 2, p. 149-172

Eide, Viktor S. Wold; Granmo, Ole-Christoffer; Eliassen, Frank; Michaelsen, Jørgen Andreas

Real-Time Video Content Analysis: QoS-Aware Application Composition and Parallel Processing. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) 1551-6857, Vol. 2

Granmo, Ole-Christoffer; Oommen, B. John

On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem. Proceedings of the International IIS: IIPWM'06 Conference held in Ustron, Poland, June 19-22, 2006 Springer, p. 263-272

Granmo, Ole-Christoffer; Oommen, B. John; Myrer, Svein Arild; Olsen, Morten Goodwin

Determining Optimal Polling Frequency Using a Learning Automata-based Solution to the Fractional Knapsack Problem. IEEE International Conference on Cybernetics and Intelligent Systems (CIS 2006) IEEE (Institute of Electrical and Electronics Engineers)

Granmo, Ole-Christoffer; Pedersen, Asle; Oommen, B. John

Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games. Lecture Notes in Computer Science Springer LNAI 4304

Misra, Sudip; Granmo, Ole-Christoffer; Oommen, B. John

Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering. The 25th Conference on Computer Communications (IEEE INFOCOM 2006) IEEE (Institute of Electrical and Electronics Engineers)

Snaprud, Mikael Odd H.; Ulltveit-Moe, Nils; Balachandran, Anand Pillai; Olsen, Morten Goodwin

A proposed architecture for large scale web accessibility assessment. Lecture Notes in Computer Science (LNCS) 0302-9743, Vol. 4061, p. 234-241

Bouhmala, Noureddine

A combined local search method and simulated annealing to constraint satisfaction problems. Proceedings of the Sixtewenth Australasian Workshop on Combinatorial Algoriths (AWOCA 2005) University of Ballarat, p. 429-438

Granmo, Ole-Christoffer

Parallel Hypothesis Driven Video Content Analysis. Proceedings of the 2004 ACM Symposium on Applied Computing (SAC 2004) ACM Publications, p. 642-648

Granmo, Ole-Christoffer

Pipelined Execution of a Parallel Particle Filter for Real-time Feature Selection and Classification in Data Streams. WSEAS Transactions on Information Science and Applications 1790-0832, Vol. 1, p. 872-879

Meseguer, Pedro; Bouhmala, Noureddine; Bouzoubaa, Taoufik; Sanchez, Marti

Current approaches for solving over-constrained problems. Constraints 1383-7133, Vol. 8, p. 9-39

Bouhmala, Noureddine; Natvig, T.; Jakobsen, M.

A multilevel construction algorithm for the travelling salesman problem. Optimation and optimal control World Scientific 1, p. 29-35

Eide, Viktor S. Wold; Eliassen, Frank; Granmo, Ole-Christoffer; Lysne, Olav

Supporting Timeliness and Accuracy in Distributed Real-time Content-based Video Analysis. Proceedings of the 2003 Annual ACM International Conference on Multimedia (MM'03) ACM Publications, p. 21-32

Granmo, Ole-Christoffer; Eliassen, Frank; Lysne, Olav; Eide, Viktor S. Wold

Techniques for Parallel Execution of the Particle Filter. Image Analysis Springer 2749, p. 983-990

Eide, Viktor S. Wold; Eliassen, Frank; Granmo, Ole-Christoffer; Lysne, Olav

Scalable Independent Multi-level Distribution in Multimedia Content Analysis. Protocols and Systems for Interactive Distributed Multimedia Springer 2515, p. 37-48

Goodwin, Morten; Fidje, Jahn Thomas; Haraldseid, Christian Kråkevik; Granmo, Ole Christoffer; Matheussen, Bernt Viggo

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