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2020 – today
- 2023
[j26]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)- [j25]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) - [c93]Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma:
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. NLDL 2023 - [c92]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 - [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] - [i40]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) - [i39]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Unsupervised Representation Learning in Partially Observable Atari Games. CoRR abs/2303.07437 (2023) - [i38]Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin:
Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches. CoRR abs/2303.14806 (2023) - [i37]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) - [i36]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
State Representation Learning Using an Unbalanced Atlas. CoRR abs/2305.10267 (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) - [c91]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 - [c90]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG 2022: 361-368 - [c89]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 - [c88]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 - [c87]Charul Giri, Jivitesh Sharma, Morten Goodwin:
Brain Tumour Segmentation on 3D MRI Using Attention V-Net. EANN 2022: 336-348 - [c86]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 - [c85]Henrik Lien, Daniel Biermann, Fabrizio Palumbo, Morten Goodwin:
An Exploration of Semi-supervised Text Classification. EANN 2022: 477-488 - [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]