Gå til hovedinnhold
0
Jump to main content
Ole-Christoffer Granmo

Ole-Christoffer Granmo

Professor

Director, Centre for Artificial Intelligence Research (CAIR)

Department of Information and Communication Technology >

 

+47 37 23 33 57

Office:
A3062 ( Jon Lilletuns vei 9, Grimstad )

Professor Ole-Christoffer Granmo is Director of the Centre for Artificial Intelligence Research (CAIR). His passion for artificial intelligence was lit at the age of ten when he got his first computer and discovered programming. Fascinated by the idea of superintelligence, he obtained his master's degree in informatics in 1999 and the PhD degree in 2004, both from the University of Oslo, Norway. Granmo develops theory and algorithms for systems that explore, experiment and learn in complex real-world environments. Drawing inspiration from the paradigms of deep reinforcement learning and probabilistic causal reasoning, he seeks to surpass human capability in flexible pattern recognition, model building and reasoning. Within his field of research, Granmo has written more than 115 refereed journal and conference publications.

Google Scholar Profile

Projects

PhD Students

Scientific publications

  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2023). An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application. Advances in Information Retrieval. ECIR 2023. ISBN: 978-3-031-28244-7. Springer. Chapter. s 167 - 181.
  • Biermann, Daniel; Goodwin, Morten; Granmo, Ole-Christoffer (2023). Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. ISBN: 9783031170294. Springer Nature. Konferanseartikkel. s 3 - 15.
  • Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Munkvold, Bjørn Erik; Ruthjersen, A.L.; Sharma, Jivitesh (2023). Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. BMC Medical Informatics and Decision Making. ISSN: 1472-6947. 23doi:10.1186/s12911-023-02101-x.
  • Gorji, Saeed Rahimi; Granmo, Ole-Christoffer (2023). Off-policy and on-policy reinforcement learning with the Tsetlin machine. Applied intelligence (Boston). ISSN: 0924-669X. 53s 8596 - 8613. doi:10.1007/s10489-022-04297-3.
  • Maheshwari, Sidharth; Rahman, Tousif; Shafik, Rishad; Yakovlev, Alex; Rafiev, Ashur; Lei, Jiao; Granmo, Ole-Christoffer (2023). REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines. IEEE Transactions on Pattern Analysis and Machine Intelligence. ISSN: 0162-8828. 45 (9). s 11152 - 11168. doi:10.1109/TPAMI.2023.3268415.
  • Tunheim, Svein Anders; Lei, Jiao; Shafik, Rishad Ahmed; Yakovlev, Alexandre; Granmo, Ole-Christoffer (2022). A Convolutional Tsetlin Machine-based Field Programmable Gate Array Accelerator for Image Classification. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 21 - 28.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2022). CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. 2022 IEEE Conference on Games (CoG). ISBN: 978-1-6654-5989-1. IEEE conference proceedings. Chapter. s 361 - 368.
  • Jenul, Anna Selina; Bhattarai, Bimal; Liland, Kristian Hovde; Lei, Jiao; Schrunner, Stefan; Futsæther, Cecilia Marie; Granmo, Ole-Christoffer; Tomic, Oliver (2022). Component Based Pre-filtering of Noisy Data for Improved Tsetlin Machine Modelling. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 57 - 64.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2022). ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. Proceedings of the Thirteenth Language Resources and Evaluation Conference. ISBN: 979-10-95546-72-6. European Language Resources Association. Chapter. s 3761 - 3770.
  • Tunheim, Svein Anders; Yadav, Rohan Kumar; Lei, Jiao; Shafik, Rishad; Granmo, Ole-Christoffer (2022). 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. ISBN: 978-3-031-08529-1. Springer. Conference paper. s 844 - 856.
  • Rahman, Tousif; Wheeldon, Adrian; Shafik, Rishad; Yakovlev, Alex; Lei, Jie; Granmo, Ole-Christoffer; Das, Shidhartha (2022). Data Booleanization for Energy Efficient On-Chip Learning using Logic Driven AI. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 29 - 36.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2022). Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment. Proceedings of the Thirteenth Language Resources and Evaluation Conference. ISBN: 979-10-95546-72-6. European Language Resources Association. Chapter. s 4894 - 4903.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Goodwin, Morten; Webersik, Christian (2022). Label-Critic Tsetlin Machine: A Novel Self-supervised Learning Scheme for Interpretable Clustering. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 41 - 48.
  • Giri, Charul; Granmo, Ole-Christoffer; Van Hoof, Herke; Blakely, Christian Dallas (2022). Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. 2022 International Joint Conference on Neural Networks (IJCNN). ISBN: 978-1-7281-8671-9. IEEE conference proceedings. Chapter.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer (2022). MMSS: A storytelling simulation software to mitigate misinformation on social media[Formula presented]. Software Impacts. 13doi:10.1016/j.simpa.2022.100341.
  • Lei, Jiao; Zhang, Xuan; Granmo, Ole-Christoffer; Abeyrathna, Kuruge Darshana (2022). On the Convergence of Tsetlin Machines for the XOR Operator. IEEE Transactions on Pattern Analysis and Machine Intelligence. ISSN: 0162-8828. 45 (5). s 6072 - 6085. doi:10.1109/TPAMI.2022.3203150.
  • Rahman, Tousif; Shafik, Rishad; Granmo, Ole-Christoffer; Yakovlev, Alex (2022). Resilient Biomedical Systems Design Under Noise Using Logic-Based Machine Learning. Frontiers in Control Engineering. ISSN: 2673-6268. doi:10.3389/fcteg.2021.778118.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2022). Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. ISBN: 978-1-956792-00-3. AAAI Press. Chapter. s 4439 - 4446.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (2022). Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. ISSN: 2159-5399. s 11801 - 11809. doi:10.1609/aaai.v36i11.21436.
  • Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E.; Knausgård, Kristian Muri (2022). Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. ISBN: 978-3-031-08223-8. Springer Nature. Chapter. s 461 - 474.
  • Vishwanath, Ajay; Bøhn, Einar Duenger; Granmo, Ole-Christoffer; Maree, Charl; Omlin, Christian Walter Peter (2022). Towards artificial virtuous agents: games, dilemmas and machine learning. AI and Ethics. ISSN: 2730-5953. doi:10.1007/s43681-022-00251-8.
  • Rafiev, Ashur; Morris, Jordan; Xia, Fei; Shafik, Rishad; Yakovlev, Alex; Granmo, Ole-Christoffer; Brown, Andrew (2022). Visualization of Machine Learning Dynamics in Tsetlin Machines. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 65 - 72.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2022). Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines. Applied intelligence (Boston). ISSN: 0924-669X. doi:10.1007/s10489-022-03281-1.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei (2021). A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021). ISBN: 978-989-758-484-8. SciTePress.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Lei, Jiao; Wheeldon, Adrian; Yakovlev, Alex; Lei, Jie; Goodwin, Morten (2021). A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12836.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Zadorozhny, Vladimir; Goodwin, Morten (2021). A relational Tsetlin Machine with applications to natural language understanding. Journal of Intelligent Information Systems. ISSN: 0925-9902. doi:10.1007/s10844-021-00682-5.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line. Electronics. ISSN: 2079-9292. 10 (17). doi:10.3390/electronics10172107.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. 2021 6th International Conference on Machine Learning Technologies. ISBN: 978-1-4503-8940-2. Association for Computing Machinery (ACM). chapter. s 65 - 70.
  • Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Transactions on Systems, Man & Cybernetics. Systems. ISSN: 2168-2216. 51 (12). s 7363 - 7381. doi:10.1109/TSMC.2020.2967936.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. ISBN: 978-1-955917-06-3. Association for Computational Linguistics. chapter. s 265 - 274.
  • Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Wiering, Marco (2021). Explainable Reinforcement Learning with the Tsetlin Machine. Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. ISBN: 978-3-030-79456-9. Springer Nature. 15.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access. ISSN: 2169-3536. 9s 8233 - 8248. doi:10.1109/ACCESS.2021.3049569.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. ISSN: 2159-5399. s 14203 - 14212.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Interpretability in Word Sense Disambiguation using Tsetlin Machine. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021). ISBN: 978-989-758-484-8. SciTePress. chapter. s 402 - 409.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (2021). Learning Automata-based Misinformation Mitigation via Hawkes Processes. Information Systems Frontiers. ISSN: 1387-3326. 23s 1169 - 1188. doi:10.1007/s10796-020-10102-8.
  • Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (2021). Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. Proceedings of Machine Learning Research (PMLR). ISSN: 2640-3498.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei (2021). 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). ISBN: 978-989-758-484-8. SciTePress. ICAART 2021. s 410 - 417.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. doi:10.1007/978-3-030-91100-3_12.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2021). ORACLE: End-to-End Model Based Reinforcement Learning. Artificial Intelligence XXXVIII, 41st SGAI International Conference on Artificial Intelligence. ISBN: 978-3-030-91099-0. Springer. chapter.
  • Zhang, Xuan; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). On the convergence of Tsetlin machines for the IDENTITY- and NOT operators. IEEE Transactions on Pattern Analysis and Machine Intelligence. ISSN: 0162-8828. 44 (10). s 6345 - 6359. doi:10.1109/TPAMI.2021.3085591.
  • Yadav, Rohan Kumar; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (2021). Positionless aspect based sentiment analysis using attention mechanism.. Knowledge-Based Systems. ISSN: 0950-7051. 226doi:10.1016/j.knosys.2021.107136.
  • Abeyrathna, Kuruge Darshana; Rasca, Sinziana Ioana; Markvica, Karin; Granmo, Ole-Christoffer (2021). Public Transport Passenger Count Forecasting in Pandemic Scenarios Using Regression Tsetlin Machine. Case Study of Agder, Norway. Smart Innovation, Systems and Technologies. ISSN: 2190-3018. 231s 27 - 37. doi:10.1007/978-981-16-2324-0_4.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12873.
  • Abeyrathna, Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Yakovlev, Alex; Wheeldon, Adrian; Lei, Jie; Goodwin, Morten (2020). A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI 2020: Artificial Intelligence XXXVII. ISBN: 9783030637989. Springer. Konferanseartikkel. s 108 - 122.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Goodwin, Morten (2020). Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-7281-2547-3. IEEE. chapter. s 2084 - 2092.
  • Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Combining a context aware neural network with a denoising autoencoder for measuring string similarities. Computer Speech and Language. ISSN: 0885-2308. 60doi:10.1016/j.csl.2019.101028.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Emergency Detection with Environment Sound Using Deep Convolutional Neural Networks. Proceedings of Fifth International Congress on Information and Communication Technology. ISBN: 978-981-15-5858-0. Springer Nature. 14. s 144 - 154.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network. Interspeech (USB). ISSN: 2308-457X. s 1186 - 1190. doi:10.21437/Interspeech.2020-1303.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12537.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Increasing sample efficiency in deep reinforcement learningusing generative environment modelling. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12537.
  • Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Glimsdal, Sondre; Edwards, Jonathan; Goodwin, Morten (2020). Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices.. ISBN: 978-3-030-55789-8. Springer Nature. paper. s 695 - 708.
  • Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Indoor Space Classification Using Cascaded LSTM. IEEE Conference on Industrial Electronics and Applications. ISSN: 2158-2297. s 1110 - 1114. doi:10.1109/ICIEA48937.2020.9248347.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Integer Weighted Regression Tsetlin Machines. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices.. ISBN: 978-3-030-55789-8. Springer Nature. chapter. s 686 - 694.
  • Abeyrathna, Kuruge Darshana; Gardiyawasam Pussewalage, Harsha; Ranasinghe, Sasanka Niromi; Oleshchuk, Vladimir; Granmo, Ole-Christoffer (2020). Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-7281-2547-3. IEEE. chapter. s 1121 - 1130.
  • Wheeldon, Adrian; Shafik, Rishad; Rahman, Tousif; Lei, Jie; Yakovlev, Alex; Granmo, Ole-Christoffer (2020). 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. ISSN: 1364-503X. 378 (2182). s 1 - 18. doi:10.1098/rsta.2019.0593.
  • Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI 2020: Artificial Intelligence XXXVII. ISBN: 9783030637989. Springer.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2020). On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). ISBN: 978-1-7281-2547-3. IEEE. chapter. s 662 - 669.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. Machine Learning, Optimization, and Data Science: 6th International Conference, LOD 2020. ISBN: 978-3-030-64579-3. Springer Nature. chapter. s 169 - 180.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Towards safe reinforcement-learning in industrial grid-warehousing. Information Sciences. ISSN: 0020-0255. 537s 467 - 484. doi:10.1016/j.ins.2020.06.010.
  • Zhang, Xuan; Jiao, Lei; Oommen, John; Granmo, Ole-Christoffer (2019). A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton. IEEE Transactions on Neural Networks and Learning Systems. ISSN: 2162-237X. doi:10.1109/TNNLS.2019.2900639.
  • Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2019). A Neural Turing~Machine for Conditional Transition Graph Modeling. arXiv.org. ISSN: 2331-8422.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Goodwin, Morten (2019). 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.. ISBN: 978-3-030-22999-3. Springer Nature. paper. s 564 - 578.
  • Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Phoulady, Adrian; Goodwin, Morten (2019). A Tsetlin Machine with Multigranular Clauses. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. doi:10.1007/978-3-030-34885-4_11.
  • Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2019). An Iterative Information Retrieval Approach from Social Media in Crisis Situations. 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). ISBN: 978-1-7281-4920-2. IEEE conference proceedings. chapter.
  • Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (2019). 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. ISSN: 2305-7254. doi:10.23919/FRUCT48121.2019.8981500.
  • Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. arXiv.org. ISSN: 2331-8422. doi:10.1109/tsmc.2020.2967936.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks. arXiv.org. ISSN: 2331-8422.
  • Sharma, Jivitesh; Matheussen, Bernt Viggo; Glimsdal, Sondre; Granmo, Ole-Christoffer (2019). Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). ISBN: 978-1-7281-4550-1. IEEE conference proceedings. chapter.
  • Matheussen, Bernt Viggo; Granmo, Ole-Christoffer; Sharma, Jivitesh (2019). Hydropower optimization using deep learning. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11606 LNAIs 110 - 122. doi:10.1007/978-3-030-22999-3_11.
  • Sharma, Jivitesh; Giri, Charul; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP Journal on Information Security. ISSN: 2510-523X. 2019 (1). doi:10.1186/s13635-019-0098-y.
  • Havelock, Jessica; Oommen, John; Granmo, Ole-Christoffer (2019). 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. ISBN: 978-3-030-22998-6. Springer. chapter. s 39 - 49.
  • Granmo, Ole-Christoffer; Glimsdal, Sondre; Lei, Jiao; Goodwin, Morten; Omlin, Christian; Berge, Geir Thore (2019). The Convolutional Tsetlin Machine. arXiv.org. ISSN: 2331-8422.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Lei, Jiao; Goodwin, Morten (2019). The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. Progress in Artificial Intelligence. EPIA 2019. ISBN: 978-3-030-30244-3. Springer. chapter. s 268 - 280.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Lei, Jiao; Goodwin, Morten (2019). The regression Tsetlin machine: a novel approach to interpretable nonlinear regression. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. ISSN: 1364-503X. doi:10.1098/rsta.2019.0165.
  • Glimsdal, Sondre; Granmo, Ole-Christoffer (2019). Thompson sampling based active learning in probabilistic programs with application to travel time estimation. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11606 LNAIs 71 - 78. doi:10.1007/978-3-030-22999-3_7.
  • Glimsdal, Sondre; Granmo, Ole-Christoffer (2019). Thompson sampling guided stochastic searching on the line for deceptive environments with applications to root-finding problems. Journal of machine learning research. ISSN: 1532-4435. 20doi:10.1109/icmla.2015.203.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Towards Model-Based Reinforcement Learning for Industry-Near Environments. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11927 LNAIs 36 - 49. doi:10.1007/978-3-030-34885-4_3.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Towards Model-based Reinforcement Learning for Industry-near Environments. arXiv.org. ISSN: 2331-8422. doi:10.1007/978-3-030-34885-4_3.
  • Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Goodwin, Morten; Lei, Jiao; Matheussen, Bernt Viggo (2019). Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. IEEE Access. ISSN: 2169-3536. 7doi:10.1109/ACCESS.2019.2935416.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2018). A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI). ISSN: 1082-3409. 2018-Novembers 680 - 685. doi:10.1109/ICTAI.2018.00108.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2018). Deep CNN-ELM Hybrid Models for Fire Detection in Images. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. LNCS 11141s 245 - 259. doi:10.1007/978-3-030-01424-7_25.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2018). Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. 2018 IEEE Conference on Computational Intelligence and Games (CIG). ISBN: 978-1-5386-4359-4. IEEE conference proceedings. chapter.
  • Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (2018). 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. ISSN: 1892-0713.
  • Havelock, Jessica; Oommen, John; Granmo, Ole-Christoffer (2018). On using "Stochastic learning on the line" to design novel distance estimation methods. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 10868 LNAIs 34 - 42. doi:10.1007/978-3-319-92058-0_4.
  • Razvarz, Sina; Jafari, Raheleh; Granmo, Ole-Christoffer; Gegov, Alexander (2018). 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. ISBN: 978-3-319-75419-2. Springer. chapter. s 245 - 255.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2018). The dreaming variational autoencoder for reinforcement learning environments. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11311 LNAIs 143 - 155. doi:10.1007/978-3-030-04191-5_11.
  • Kamphaug, Åsmund; Granmo, Ole-Christoffer; Goodwin, Morten; Zadorozhny, Vladimir (2018). Towards Open Domain Chatbots — A GRU Architecture for Data Driven Conversations. Internet Science - INSCI 2017 International Workshops IFIN, DATA ECONOMY, DSI, and CONVERSATIONS - LNCS10750. ISBN: 978-3-319-77546-3. Springer Nature. Workshop paper. s 2013 - 2022.
  • Fidje, Jahn Thomas; Granmo, Ole-Christoffer; Haraldseid, Christian Kråkevik; Goodwin, Morten; Matheussen, Bernt Viggo (2017). 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. ISBN: 978-3-319-71077-8. Springer Publishing Company. Artikkel.
  • Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn (2017). 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). ISBN: 978-9963-2288-3-6. Association for Information Systems. KAPITTEL.
  • Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2017). Vector Representation of Non-standard Spellings Using Dynamic Time Wrapping and a Denoising Autoencoder. 2017 IEEE Congress on Evolutionary Computation (CEC). ISBN: 978-1-5090-4601-0. IEEE conference proceedings. chapter. s 1444 - 1450.
  • Granmo, Ole-Christoffer (2016). Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation. 2016 15th IEEE International Conference on Machine Learning and Applications. ISBN: 978-1-5090-6166-2. IEEE conference proceedings. chapter. s 222 - 226.
  • Lazreg, Mehdi Ben; Goodwin, Morten; Granmo, Ole-Christoffer (2016). Deep Learning for Social Media Analysis in Crises Situations. The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS). ISBN: 978-91-7685-720-5. Linköping University Electronic Press. Kapittel. s 31 - 36.
  • Hansen, Bjørnar; Loland, Leonard Christopher; Goodwin, Morten; Granmo, Ole-Christoffer (2016). Towards Evacuation Planning of Groups with Genetic Algorithms. The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS). ISBN: 978-91-7685-720-5. Linköping University Electronic Press. 3. s 20 - 30.
  • Lazreg, Mehdi Ben; Radianti, Jaziar; Granmo, Ole-Christoffer (2015). SmartRescue: Architecture for Fire Crisis Assessment and Prediction. 12th International Conference on Information Systems for Crisis Response and Management. ISBN: 978-82-7117-788-1. ISCRAM. Chapter.
  • Glimsdal, Sondre; Granmo, Ole-Christoffer (2015). Thompson Sampling Guided Stochastic Searching on the Line for Non-Stationary Adversarial Learning. 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). ISBN: 978-1-5090-0287-0. IEEE. Kapittel. s 687 - 692.
  • Glimsdal, Sondre; Granmo, Ole-Christoffer (2014). 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). ISBN: 978-1-4799-7415-3. IEEE conference proceedings. kapittel. s 594 - 599.
  • Gupta, Neha; Granmo, Ole-Christoffer; Agrawala, Ashok (2014). 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). ISBN: 9781479941551. Curran Associates, Inc.. kapittel. s 252 - 257.
  • Yazidi, Anis; Oommen, John; Granmo, Ole-Christoffer; Goodwin, Morten (2014). On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. 17th IEEE International Conference on Computational Science and Engineering, CSE 2014. ISBN: 978-1-4799-7981-3. IEEE conference proceedings. kapittel. s 32 - 37.
  • Radianti, Jaziar; Dugdale, Julie Anne; Gonzalez, Jose J; Granmo, Ole-Christoffer (2014). Smartphone sensing platform for emergency management. Proceedings ISCRAM2014 , 11th International Conference on Information Systems for Crisis Response and Management. ISBN: 978-0-692-21194-6. The Pennsylvania State University. kapittel. s 379 - 383.
  • Shafik, Rishad; Granmo, Ole-Christoffer; Lei, Jiao; Zadorozhny, Vladimir (2022). 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings.
  • Sanfilippo, Filippo; Granmo, Ole-Christoffer; Yildirim Yayilgan, Sule; Bajwa, Imran Sarwar (2022). Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers. ISBN: 978-3-031-10524-1. Springer. s 434.
  • Følstad, Asbjørn; Araujo, Theo; Papadopoulos, Symeon; Law, Effie L.-C.; Granmo, Ole-Christoffer; Luger, Ewa; Brandtzæg, Petter Bae (2020). Chatbot Research and Design. Third International Workshop, CONVERSATIONS 2019, Amsterdam, The Netherlands, November 19–20, 2019, Revised Selected Papers.. ISBN: 978-3-030-39540-7. Springer. s 273.
  • Sahu, Prajwal Kumar; Boppu, Srinivas; Shafik, Rishad Ahmed; Tunheim, Svein Anders; Granmo, Ole-Christoffer; Cenkeramaddi, Linga Reddy (2023). Enhancing Inference Performance through Include only Literal Incorporation in Tsetlin Machine.
  • Liland, Kristian Hovde; Tomic, Oliver; Indahl, Ulf Geir; Futsæther, Cecilia Marie; Jiao, Lei; Granmo, Ole-Christoffer; Snipen, Lars-Gustav (2023). Tsetlin Machine in DNA sequence classification.
  • Granmo, Ole-Christoffer (2023). Om 5 år vil det være noe helt annet å være utvikler, mener norsk AI-ekspert.
  • Granmo, Ole-Christoffer (2022). Nå skal den norske Tsetlin-maskinen videreutvikles.
  • Granmo, Ole-Christoffer (2022). The Tsetlin Machine – From Arithmetic to Logic-based AI.

Sectors

Research groups

Last changed: 14.01.2019 23:01