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2020 – today
- 2024
[j31]Micheal Dutt
, Morten Goodwin, Christian W. Omlin:
An Interpretable Deep Learning-Based Feature Reduction in Video-Based Human Activity Recognition. IEEE Access 12: 187947-187963 (2024)- [j30]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards safe and sustainable reinforcement learning for real-time strategy games. Inf. Sci. 679: 120980 (2024) - [j29]Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin, Christian Webersik:
Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance. J. Comput. Soc. Sci. 7(1): 741-776 (2024) - [c110]Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad:
State Representation Learning Using an Unbalanced Atlas. ICLR 2024 - [c109]Aayushi Vinod Thantharate, Morten Goodwin, Per-Arne Andersen, Aditya Gupta:
Towards Robust Road Quality Detection Using Different Detection Models. AIAI (3) 2024: 125-138 - [c108]Karl Audun Kagnes Borgersen, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma:
A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. RecSys 2024: 945-950 - [c107]Morten Grundetjern, Per-Arne Andersen, Morten Goodwin, Karl Audun Borgersen:
NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition. SGAI Conf. (1) 2024: 3-15 - [c106]Martin Holen, Jayant Singh, Christian W. Omlin, Jing Zhou, Kristian Muri Knausgård, Morten Goodwin:
Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction. SGAI Conf. (2) 2024: 21-34 - [c105]Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo:
Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention. SGAI Conf. (1) 2024: 61-73 - [c104]Sander Riisøen Jyhne, Per-Arne Andersen, Ivar Oveland, Morten Goodwin:
TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution. SGAI Conf. (1) 2024: 116-129 - [c103]Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum:
PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings. SGAI Conf. (1) 2024: 175-188 - [e4]Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Sebastian Hobert, Petter Bae Brandtzaeg:
Chatbot Research and Design - 7th International Workshop, CONVERSATIONS 2023, Oslo, Norway, November 22-23, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14524, Springer 2024, ISBN 978-3-031-54974-8 [contents] - [i46]Sander Riisøen Jyhne, Morten Goodwin, Per-Arne Andersen, Ivar Oveland, Alexander Salveson Nossum, Karianne Ormseth, Mathilde Ørstavik, Andrew C. Flatman:
MapAI: Precision in Building Segmentation. CoRR abs/2401.04406 (2024) - [i45]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
A Manifold Representation of the Key in Vision Transformers. CoRR abs/2402.00534 (2024) - [i44]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Maximum Manifold Capacity Representations in State Representation Learning. CoRR abs/2405.13848 (2024) - 2023
- [j28]Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin:
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. Appl. Intell. 53(13): 16830-16843 (2023) - [j27]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Lei Jiao, Adrian Wheeldon, Alex Yakovlev, Jie Lei, Morten Goodwin:
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j26]Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin:
Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j25]Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad:
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. IEEE Trans. Games 15(4): 580-589 (2023) - [c102]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Unsupervised State Representation Learning in Partially Observable Atari Games. CAIP (2) 2023: 212-222 - [c101]Saeed Rahimi Gorji, Ole-Christoffer Granmo, Morten Goodwin:
Natural Language Modeling with the Tsetlin Machine. IEA/AIE (2) 2023: 141-150 - [c100]Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen:
DeNISE: Deep Networks for Improved Segmentation Edges. AIAI (1) 2023: 81-89 - [c99]Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo:
Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. AIAI (2) 2023: 569-578 - [c98]Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma:
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. NLDL 2023 - [c97]Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen:
A contrastive learning approach for individual re-identification in a wild fish population. NLDL 2023 - [c96]Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik:
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. SGAI Conf. 2023: 89-102 - [c95]Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland:
A Contrastive Learning Scheme with Transformer Innate Patches. SGAI Conf. 2023: 103-114 - [c94]Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen:
Distinct Sequential Models for Inference Boosting. SGAI Conf. 2023: 198-203 - [c93]Vetle Nesland Evensen, Gabriel Bergman Henriksen, Sondre Melhus, Ole Steine Olsen, Kristina Haugen, Dag Dolmen, Arne Wiklund, Per-Arne Andersen, Morten Goodwin, Lars Mørch Korslund, Nadia Saad Noori:
ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. SGAI Conf. 2023: 365-376 - [e3]Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg:
Chatbot Research and Design - 6th International Workshop, CONVERSATIONS 2022, Amsterdam, The Netherlands, November 22-23, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13815, Springer 2023, ISBN 978-3-031-25580-9 [contents] - [i43]Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen:
A contrastive learning approach for individual re-identification in a wild fish population. CoRR abs/2301.00596 (2023) - [i42]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Unsupervised Representation Learning in Partially Observable Atari Games. CoRR abs/2303.07437 (2023) - [i41]Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin:
Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches. CoRR abs/2303.14806 (2023) - [i40]Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård, Morten Goodwin:
Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning. CoRR abs/2304.12778 (2023) - [i39]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
State Representation Learning Using an Unbalanced Atlas. CoRR abs/2305.10267 (2023) - [i38]Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik:
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. CoRR abs/2308.16126 (2023) - [i37]Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin:
DeNISE: Deep Networks for Improved Segmentation Edges. CoRR abs/2309.02091 (2023) - [i36]Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo:
Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders. CoRR abs/2310.14837 (2023) - 2022
- [j24]Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Tallaksen Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin:
Temperate fish detection and classification: a deep learning based approach. Appl. Intell. 52(6): 6988-7001 (2022) - [j23]Martin Holen, Kristian Muri Knausgård, Morten Goodwin:
Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars. Informatics 9(2): 33 (2022) - [j22]Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin:
A relational tsetlin machine with applications to natural language understanding. J. Intell. Inf. Syst. 59(1): 121-148 (2022) - [j21]Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6345-6359 (2022) - [c92]Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. AAAI 2022: 11801-11809 - [c91]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG 2022: 361-368 - [c90]Aditya Gupta, Even Bringsdal, Nicole Salbuvik, Kristian Muri Knausgård, Morten Goodwin:
An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. EANN 2022: 139-149 - [c89]Vera Szabo, Saeed Hasan Ebrahimi, Martin Choux, Morten Goodwin:
ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs. EANN 2022: 177-189 - [c88]Charul Giri, Jivitesh Sharma, Morten Goodwin:
Brain Tumour Segmentation on 3D MRI Using Attention V-Net. EANN 2022: 336-348 - [c87]Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård:
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. EANN 2022: 461-474 - [c86]Henrik Lien, Daniel Biermann, Fabrizio Palumbo, Morten Goodwin:
An Exploration of Semi-supervised Text Classification. EANN 2022: 477-488 - [c85]Micheal Dutt, Surender Redhu, Morten Goodwin, Christian W. Omlin:
Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. HealthCom 2022: 94-99 - [c84]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. IJCAI 2022: 4439-4446 - [c83]Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal:
Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. ISBI 2022: 1-5 - [c82]Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal:
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. ISBI 2022: 1-5 - [c81]Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo:
Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. NAIS 2022: 3-15 - [c80]Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad:
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. NLDL 2022 - [e2]Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg:
Chatbot Research and Design - 5th International Workshop, CONVERSATIONS 2021, Virtual Event, November 23-24, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13171, Springer 2022, ISBN 978-3-030-94889-4 [contents] - [i35]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Improving the Diversity of Bootstrapped DQN via Noisy Priors. CoRR abs/2203.01004 (2022) - [i34]Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. CoRR abs/2203.12537 (2022) - [i33]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Deep Reinforcement Learning with Swin Transformer. CoRR abs/2206.15269 (2022) - [i32]Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. CoRR abs/2210.01231 (2022) - [i31]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoRR abs/2210.01235 (2022) - [i30]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. CoRR abs/2210.01805 (2022) - [i29]Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma:
A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems. CoRR abs/2212.10136 (2022) - 2021
- [j20]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access 9: 8233-8248 (2021) - [j19]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Syst. J. Knowl. Eng. 38(7) (2021) - [j18]Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Learning Automata-based Misinformation Mitigation via Hawkes Processes. Inf. Syst. Frontiers 23(5): 1169-1188 (2021) - [j17]Rohan Kumar Yadav, Lei Jiao, Morten Goodwin, Ole-Christoffer Granmo:
Positionless aspect based sentiment analysis using attention mechanism. Knowl. Based Syst. 226: 107136 (2021) - [j16]Vimala Nunavath, Sahand Johansen, Tommy Sandtorv Johannessen, Lei Jiao, Bjørge Herman Hansen, Sveinung Berntsen, Morten Goodwin:
Deep Learning for Classifying Physical Activities from Accelerometer Data. Sensors 21(16): 5564 (2021) - [j15]Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7363-7381 (2021) - [c79]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. AAAI 2021: 14203-14212 - [c78]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. BlackboxNLP@EMNLP 2021: 265-274 - [c77]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
An Interpretable Word Sense Classifier for Human Explainable Chatbot. ICAART (Revised Selected Papers) 2021: 236-249 - [c76]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Interpretability in Word Sense Disambiguation using Tsetlin Machine. ICAART (2) 2021: 402-409 - [c75]Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav:
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. ICML 2021: 10-20 - [c74]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. ICMLT 2021: 65-73 - [c73]Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin:
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. IEA/AIE (1) 2021: 101-112 - [c72]Micheal Dutt, Morten Goodwin, Christian W. Omlin:
Automatic Sleep Stage Identification with Time Distributed Convolutional Neural Network. IJCNN 2021: 1-7 - [c71]Martin Holen, Kristian Muri Knausgård, Morten Goodwin:
An Evaluation of Autonomous Car Simulators and Their Applicability for Supervised and Reinforcement Learning. INTAP 2021: 367-379 - [c70]Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal:
Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data. ISBI 2021: 1915-1919 - [c69]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. 2021: 44-57 - [c68]Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin:
Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. SGAI Conf. 2021: 146-151 - [e1]Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg:
Chatbot Research and Design - 4th International Workshop, CONVERSATIONS 2020, Virtual Event, November 23-24, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12604, Springer 2021, ISBN 978-3-030-68287-3 [contents] - [i28]Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin:
A Relational Tsetlin Machine with Applications to Natural Language Understanding. CoRR abs/2102.10952 (2021) - [i27]Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal:
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data. CoRR abs/2103.14955 (2021) - [i26]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Distributed Word Representation in Tsetlin Machine. CoRR abs/2104.06901 (2021) - [i25]Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad:
Expert Q-learning: Deep Q-learning With State Values From Expert Examples. CoRR abs/2106.14642 (2021) - [i24]Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal:
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. CoRR abs/2107.10806 (2021) - [i23]Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao, Kristian Muri Knausgård, Angela Helen Martin, Marta Moyano, Rebekah A. Oomen, Jeppe Have Rasmussen, Tonje Knutsen Sørdalen, Susanna Huneide Thorbjørnsen:
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. CoRR abs/2109.14737 (2021) - 2020
- [j14]Morten Goodwin, Anis Yazidi:
Distributed learning automata-based scheme for classification using novel pursuit scheme. Appl. Intell. 50(7): 2222-2238 (2020) - [j13]Anis Yazidi, Nourredine Bouhmala, Morten Goodwin:
A team of pursuit learning automata for solving deterministic optimization problems. Appl. Intell. 50(9): 2916-2931 (2020) - [j12]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
Combining a context aware neural network with a denoising autoencoder for measuring string similarities. Comput. Speech Lang. 60 (2020) - [j11]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards safe reinforcement-learning in industrial grid-warehousing. Inf. Sci. 537: 467-484 (2020) - [j10]Morten Goodwin, Anis Yazidi, Tore Møller Jonassen:
Distributed Learning Automata-based S-learning scheme for classification. Pattern Anal. Appl. 23(3): 1235-1250 (2020) - [c67]Martin Holen, Rupsa Saha, Morten Goodwin, Christian W. Omlin, Knut Eivind Sandsmark:
Road Detection for Reinforcement Learning Based Autonomous Car. ICISS 2020: 67-71 - [c66]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Integer Weighted Regression Tsetlin Machines. IEA/AIE 2020: 686-694 - [c65]Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin:
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. IEA/AIE 2020: 695-708 - [c64]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP 2020: 127-138 - [c63]Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin:
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. INTERSPEECH 2020: 1186-1190 - [c62]Mehdi Ben Lazreg, Usman Anjum, Vladimir Zadorozhny, Morten Goodwin:
Semantic Decay Filter for Event Detection. ISCRAM 2020: 14-26 - [c61]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) 2020: 169-180 - [c60]Charul Giri, Morten Goodwin, Ketil Oppedal:
Deep 3D Convolution Neural Network for Alzheimer's Detection. LOD (1) 2020: 347-358 - [c59]Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin:
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI Conf. 2020: 67-78 - [c58]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. 2020: 94-107 - [c57]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin:
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI Conf. 2020: 108-122 - [c56]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. SSCI 2020: 662-669 - [c55]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. SSCI 2020: 2084-2092 - [i22]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. CoRR abs/2002.01245 (2020) - [i21]Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin:
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. CoRR abs/2004.03188 (2020) - [i20]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. CoRR abs/2005.05131 (2020) - [i19]Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin:
Temperate Fish Detection and Classification: a Deep Learning based Approach. CoRR abs/2005.07518 (2020) - [i18]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin:
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. CoRR abs/2007.02114 (2020) - [i17]Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. CoRR abs/2007.14268 (2020) - [i16]Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav:
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. CoRR abs/2009.04861 (2020)
2010 – 2019
- 2019
- [j9]Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen:
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. IEEE Access 7: 115134-115146 (2019) - [j8]Jivitesh Sharma, Charul Giri, Ole-Christoffer Granmo, Morten Goodwin:
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP J. Inf. Secur. 2019: 16 (2019) - [c54]Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, Mohan Lal Kolhe:
Modelling of Compressors in an Industrial CO _2 -Based Operational Cooling System Using ANN for Energy Management Purposes. EANN 2019: 43-54 - [c53]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin:
The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. EPIA (2) 2019: 268-280 - [c52]Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis. FRUCT 2019: 3-14 - [c51]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
An Iterative Information Retrieval Approach from Social Media in Crisis Situations. ICT-DM 2019: 1-8 - [c50]Vimala Nunavath, Morten Goodwin:
The Use of Artificial Intelligence in Disaster Management - A Systematic Literature Review. ICT-DM 2019: 1-8 - [c49]Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin:
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation. IEA/AIE 2019: 89-101 - [c48]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. IEA/AIE 2019: 564-578 - [c47]Raheleh Jafari, Sina Razvarz, Wen Yu, Alexander E. Gegov, Morten Goodwin, Mo Adda:
Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. IntelliSys (1) 2019: 228-236 - [c46]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards Model-Based Reinforcement Learning for Industry-Near Environments. SGAI Conf. 2019: 36-49 - [c45]Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin:
A Tsetlin Machine with Multigranular Clauses. SGAI Conf. 2019: 146-151 - [c44]Mehdi Ben Lazreg, Nadia Saad Noori, Tina Comes, Morten Goodwin:
Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers. WI 2019: 378-382 - [i15]Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin:
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation. CoRR abs/1904.02768 (2019) - [i14]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. CoRR abs/1905.04199 (2019) - [i13]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin:
The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. CoRR abs/1905.04206 (2019) - [i12]Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. CoRR abs/1905.09673 (2019) - [i11]Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge:
The Convolutional Tsetlin Machine. CoRR abs/1905.09688 (2019) - [i10]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
A Neural Turing~Machine for Conditional Transition Graph Modeling. CoRR abs/1907.06432 (2019) - [i9]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards Model-based Reinforcement Learning for Industry-near Environments. CoRR abs/1907.11971 (2019) - [i8]Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin:
A Tsetlin Machine with Multigranular Clauses. CoRR abs/1909.07310 (2019) - 2018
- [c43]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CIG 2018: 1-8 - [c42]Micheal Dutt, Vimala Nunavath, Morten Goodwin:
A Multi-layer Feed Forward Neural Network Approach for Diagnosing Diabetes. DeSE 2018: 300-305 - [c41]Svein Inge Albrigtsen, Alexander Imenes, Morten Goodwin, Lei Jiao, Vimala Nunavath:
Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. EANN 2018: 94-105 - [c40]Vimala Nunavath, Morten Goodwin, Jahn Thomas Fidje, Carl Erik Moe:
Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. EANN 2018: 217-228 - [c39]Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin:
Deep CNN-ELM Hybrid Models for Fire Detection in Images. ICANN (3) 2018: 245-259 - [c38]Vimala Nunavath, Morten Goodwin:
The Role of Artificial Intelligence in Social Media Big data Analytics for Disaster Management -Initial Results of a Systematic Literature Review. ICT-DM 2018: 1-4 - [c37]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. ICTAI 2018: 680-685 - [c36]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks. NIK 2018 - [c35]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. SGAI Conf. 2018: 143-155 - [i7]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
FlashRL: A Reinforcement Learning Platform for Flash Games. CoRR abs/1801.08841 (2018) - [i6]Mehdi Ben Lazreg, Morten Goodwin:
Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities. CoRR abs/1807.06414 (2018) - [i5]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CoRR abs/1808.05032 (2018) - [i4]Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen:
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications. CoRR abs/1809.04547 (2018) - [i3]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. CoRR abs/1810.01112 (2018) - 2017
- [j7]Morten Goodwin, Torry Tufteland, Guro Ødesneltvedt, Anis Yazidi:
PolyACO+: a multi-level polygon-based ant colony optimisation classifier. Swarm Intell. 11(3-4): 317-346 (2017) - [j6]Anis Yazidi, B. John Oommen, Morten Goodwin:
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments. IEEE Trans. Cybern. 47(7): 1604-1617 (2017) - [c34]Anis Yazidi, B. John Oommen, Morten Goodwin:
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. ADMA 2017: 741-753 - [c33]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder. CEC 2017: 1444-1450 - [c32]Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje:
Deep Convolutional Neural Networks for Fire Detection in Images. EANN 2017: 183-193 - [c31]Åsmund Kamphaug, Ole-Christoffer Granmo, Morten Goodwin, Vladimir Zadorozhny:
Towards Open Domain Chatbots - A GRU Architecture for Data Driven Conversations. INSCI Workshops 2017: 213-222 - [c30]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
FlashRL: A Reinforcement Learning Platform for Flash Games. NIK 2017 - [c29]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. SGAI Conf. 2017: 101-114 - [c28]Jahn Thomas Fidje, Christian Kråkevik Haraldseid, Ole-Christoffer Granmo, Morten Goodwin, Bernt Viggo Matheussen:
A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. SGAI Conf. 2017: 163-168 - [i2]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. CoRR abs/1712.06180 (2017) - 2016
- [j5]Morten Goodwin, Anis Yazidi:
A pattern recognition approach for peak prediction of electrical consumption. Integr. Comput. Aided Eng. 23(2): 101-113 (2016) - [c27]Morten Goodwin, Anis Yazidi:
Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons. ANTS Conference 2016: 53-64 - [c26]Torry Tufteland, Guro Ødesneltvedt, Morten Goodwin:
Optimizing PolyACO Training with GPU-Based Parallelization. ANTS Conference 2016: 233-240 - [c25]Morten Goodwin, Anis Yazidi, Tore Møller Jonassen:
Distributed learning automata for solving a classification task. CEC 2016: 3999-4006 - [c24]Morten Goodwin, Tom Drange:
Teaching Programming to Large Student Groups through Test Driven Development - Comparing Established Methods with Teaching based on Test Driven Development. CSEDU (1) 2016: 281-288 - [c23]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
Information Abstraction from Crises Related Tweets Using Recurrent Neural Network. AIAI 2016: 441-452 - [c22]Bjørnar Hansen, Leonard Loland, Morten Goodwin, Ole-Christoffer Granmo:
Towards Evacuation Planning of Groups with Genetic Algorithms. SAIS 2016: 129:003 - [c21]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
Deep Learning for Social Media Analysis in Crises Situations (Position paper). SAIS 2016: 129:004 - [c20]Per-Arne Andersen, Christian Kråkevik, Morten Goodwin, Anis Yazidi:
Adaptive Task Assignment in Online Learning Environments. WIMS 2016: 5:1-5:10 - [i1]Per-Arne Andersen, Christian Kråkevik, Morten Goodwin Olsen, Anis Yazidi:
Adaptive Task Assignment in Online Learning Environments. CoRR abs/1606.07233 (2016) - 2015
- [j4]Jaziar Radianti, Ole-Christoffer Granmo, Parvaneh Sarshar, Morten Goodwin Olsen, Julie Dugdale, Jose J. Gonzalez:
A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters. Appl. Intell. 42(1): 3-23 (2015) - [j3]Morten Goodwin Olsen, Ole-Christoffer Granmo, Jaziar Radianti:
Escape planning in realistic fire scenarios with Ant Colony Optimisation. Appl. Intell. 42(1): 24-35 (2015) - [c19]Robin Tollisen, Jon Vegard Jansen, Morten Goodwin, Sondre Glimsdal:
AIs for Dominion Using Monte-Carlo Tree Search. IEA/AIE 2015: 43-52 - [c18]Thomas Andre Lian, Marilex Rea Llave, Morten Goodwin, Noureddine Bouhmala:
Towards Multilevel Ant Colony Optimisation for the Euclidean Symmetric Traveling Salesman Problem. IEA/AIE 2015: 222-231 - [c17]Anis Yazidi, B. John Oommen, Morten Goodwin Olsen:
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth. WI-IAT (2) 2015: 104-111 - 2014
- [j2]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen:
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme. IEEE Trans. Cybern. 44(11): 2202-2220 (2014) - [c16]Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, Morten Goodwin:
On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. CSE 2014: 32-37 - [c15]Morten Goodwin Olsen, Anis Yazidi:
A Pattern Recognition Approach for Peak Prediction of Electrical Consumption. AIAI 2014: 265-275 - [c14]Vera Barstad, Morten Goodwin, Terje Gjøsæter:
Predicting Source Code Quality with Static Analysis and Machine Learning. NIK 2014 - [c13]Lasse A. Karlsen, Morten Goodwin:
Evaluating prediction models for electricity consumption. NIK 2014 - 2013
- [c12]Morten Goodwin Olsen, Ole-Christoffer Granmo, Jaziar Radianti, Parvaneh Sarshar, Sondre Glimsdal:
Ant Colony Optimisation for Planning Safe Escape Routes. IEA/AIE 2013: 53-62 - [c11]Ole-Christoffer Granmo, Jaziar Radianti, Morten Goodwin Olsen, Julie Dugdale, Parvaneh Sarshar, Sondre Glimsdal, Jose J. Gonzalez:
A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning. IEA/AIE 2013: 63-72 - [c10]Morten Goodwin:
Towards automatic assessment of government web sites. WIMS 2013: 29 - 2012
- [c9]Annika Nietzio, Mandana Eibegger, Morten Goodwin Olsen, Mikael Snaprud:
Following the WCAG 2.0 Techniques: Experiences from Designing a WCAG 2.0 Checking Tool. ICCHP (1) 2012: 417-424 - [c8]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen:
A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem. IEA/AIE 2012: 774-783 - 2011
- [c7]Morten Goodwin:
A solution to the exact match on rare item searches: introducing the lost sheep algorithm. WIMS 2011: 38 - 2010
- [c6]Morten Goodwin Olsen, Mikael Snaprud, Annika Nietzio:
Automatic Checking of Alternative Texts on Web Pages. ICCHP (1) 2010: 425-432 - [c5]Annika Nietzio, Morten Goodwin Olsen, Mandana Eibegger, Mikael Snaprud:
Accessibility of eGovernment Web Sites: Towards a Collaborative Retrofitting Approach. ICCHP (1) 2010: 468-475
2000 – 2009
- 2009
- [c4]Carlos Casado Martínez, Loïc Martínez Normand, Morten Goodwin Olsen:
Is It Possible to Predict the Manual Web Accessibility Result Using the Automatic Result? HCI (7) 2009: 645-653 - [c3]Lasse Berntzen, Morten Goodwin Olsen:
Benchmarking e-Government - A Comparative Review of Three International Benchmarking Studies. ICDS 2009: 77-82 - 2008
- [c2]Christian Bühler, Helmut Heck, Annika Nietzio, Morten Goodwin Olsen, Mikael Snaprud:
Monitoring Accessibility of Governmental Web Sites in Europe. ICCHP 2008: 410-417 - 2007
- [j1]Ole-Christoffer Granmo, B. John Oommen, Svein Arild Myrer, Morten Goodwin Olsen:
Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation. IEEE Trans. Syst. Man Cybern. Part B 37(1): 166-175 (2007) - 2006
- [c1]Mikael Holmesland Snaprud, Nils Ulltveit-Moe, Anand Balachandran Pillai, Morten Goodwin Olsen:
A Proposed Architecture for Large Scale Web Accessibility Assessment. ICCHP 2006: 234-241
Coauthor Index
Paal E. Engelstad
aka: Paal Engelstad
aka: Paal Engelstad
[j30] [j29] [c105] [j27] [j26] [c101] [c99] [i36] [j22] [j21] [c92] [c91] [c84] [c81] [i34] [i32] [i31] [i30] [j20] [j19] [j18] [j17] [j15] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c69] [c68] [i28] [i26] [j12] [j11] [c66] [c65] [c64] [c63] [c61] [c59] [c58] [c57] [c56] [c55] [i22] [i21] [i20] [i18] [i17] [i16] [j9] [j8] [c53] [c52] [c51] [c48] [c46] [c45] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c43] [c39] [c37] [c36] [c35] [i7] [i5] [i4] [i3] [c33] [c32] [c31] [c30] [c29] [c28] [i2] [c23] [c22] [c21] [j4] [j3] [j2] [c16] [c12] [c11] [c8] [j1]
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