Ole-Christoffer Granmo

265 papers A* 10A 1B 9C 25Misc 9Journal 128Unranked 80

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An All-Digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator. IEEE Trans. Circuits Syst. I Regul. Pap. Svein Anders Tunheim, Yujin Zheng, Lei Jiao, Rishad A. Shafik, Alex Yakovlev, Ole-Christoffer Granmo
2026	J	`jnl`	Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine. CoRR Vojtech Halenka, Mohammadreza Amini, Per-Arne Andersen, Ole-Christoffer Granmo, Burak Kantarci
2026	Misc	`conf`	Human Activity Recognition Using 5G RF Sensing and Interpretable Tsetlin Machines. COMSNETS Charitha Gadari, Sreenivasa Reddy Yeduri, Ole-Christoffer Granmo, Linga Reddy Cenkeramaddi
2026	J	`jnl`	Learning dynamics, pattern recognition capability and interpretability of the Tsetlin Machine. Pattern Recognit. Olga Tarasyuk, Anatoliy Gorbenko, Tousif Rahman, Lei Jiao, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev
2026	Misc	`conf`	Tsetlin Machine-based Network Anomaly Detection System. COMSNETS Bhumika Salvi, Sreenivasa Reddy Yeduri, Ole-Christoffer Granmo, Linga Reddy Cenkeramaddi
2025	—	`conf`	A Comparative Study of Feature Selection in Tsetlin Machines. AI (1) Vojtech Halenka, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen
2025	J	`jnl`	A Comparative Study of Feature Selection in Tsetlin Machines. CoRR Vojtech Halenka, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen
2025	J	`jnl`	A Methodology for Transparent Logic-Based Classification Using a Multi-Task Convolutional Tsetlin Machine. CoRR Mayur Kishor Shende, Ole-Christoffer Granmo, Runar Helin, Vladimir I. Zadorozhny, Rishad A. Shafik
2025	J	`jnl`	Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings. CoRR Ahmed K. Kadhim, Lei Jiao, Rishad A. Shafik, Ole-Christoffer Granmo
2025	J	`jnl`	An All-digital 65-nm Tsetlin Machine Image Classification Accelerator with 8.6 nJ per MNIST Frame at 60.3k Frames per Second. CoRR Svein Anders Tunheim, Yujin Zheng, Lei Jiao, Rishad A. Shafik, Alex Yakovlev, Ole-Christoffer Granmo
2025	A*	`conf`	Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning. AAAI Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi
2025	J	`jnl`	MixCTME: A Mixture of Convolutional Tsetlin Machine Experts Using Diverse Spectrogram Visualizations for Jamming Signal Classification. IEEE Internet Things J. Sindhusha Jeeru, Rebekka Olsson Omslandseter, Per-Arne Andersen, Aiden J. Morrison, Nadezda Sokolova, Ole-Christoffer Granmo, Lei Jiao
2025	J	`jnl`	Omni TM-AE: A Scalable and Interpretable Embedding Model Using the Full Tsetlin Machine State Space. CoRR Ahmed K. Kadhim, Lei Jiao, Rishad A. Shafik, Ole-Christoffer Granmo
2025	J	`jnl`	Scalable Bayesian Network Structure Learning Using Tsetlin Machine to Constrain the Search Space. CoRR Kunal Ganesh Dumbre, Lei Jiao, Ole-Christoffer Granmo
2025	J	`jnl`	Scalable Multi-phase Word Embedding Using Conjunctive Propositional Clauses. CoRR Ahmed K. Kadhim, Lei Jiao, Rishad A. Shafik, Ole-Christoffer Granmo, Bimal Bhattarai
2025	J	`jnl`	The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs. CoRR Ole-Christoffer Granmo, Youmna Abdelwahab, Per-Arne Andersen, Paul F. A. Clarke, Kunal Ganesh Dumbre, Ylva Grønningsæter, Vojtech Halenka, Runar Helin, Lei Jiao, Ahmed Khalid, Rebekka Olsson Omslandseter, Rupsa Saha, Mayur Shende, Xuan Zhang
2025	J	`jnl`	Tsetlin Machine-Based Image Classification FPGA Accelerator With On-Device Training. IEEE Trans. Circuits Syst. I Regul. Pap. Svein Anders Tunheim, Lei Jiao, Rishad A. Shafik, Alex Yakovlev, Ole-Christoffer Granmo
2025	J	`jnl`	Uncertainty Quantification in the Tsetlin Machine. CoRR Runar Helin, Ole-Christoffer Granmo, Mayur Kishor Shende, Lei Jiao, Vladimir I. Zadorozhny, Kunal Ganesh Dumbre, Rishad A. Shafik, Alex Yakovlev
2024	J	`jnl`	An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites. CoRR Ylva Grønningsæter, Halvor S. Smørvik, Ole-Christoffer Granmo
2024	J	`jnl`	Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines. CoRR Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke, Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen
2024	J	`jnl`	Exploring State Space and Reasoning by Elimination in Tsetlin Machines. CoRR Ahmed K. Kadhim, Ole-Christoffer Granmo, Lei Jiao, Rishad A. Shafik
2024	—	`conf`	Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention. SGAI Conf. (1) Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo
2024	J	`jnl`	Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance. J. Comput. Soc. Sci. Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin, Christian Webersik
2024	J	`jnl`	Towards safe and sustainable reinforcement learning for real-time strategy games. Inf. Sci. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2024	—	`conf`	Tsetlin Machine Embedding: Representing Words Using Logical Expressions. EACL (Findings) Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma
2023	—	`conf`	A Logic-Based Explainable Framework for Relation Classification of Human Rights Violations. NMR Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Vladimir Zadorozhny, Jiawei Xu
2023	J	`jnl`	A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. Expert Syst. J. Knowl. Eng. Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Lei Jiao, Adrian Wheeldon, Alex Yakovlev, Jie Lei, Morten Goodwin
2023	J	`jnl`	An FPGA Architecture for Online Learning using the Tsetlin Machine. CoRR Samuel Prescott, Adrian Wheeldon, Rishad A. Shafik, Tousif Rahman, Alex Yakovlev, Ole-Christoffer Granmo
2023	—	`conf`	An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application. ECIR (1) Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2023	A*	`conf`	Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. IJCAI Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang
2023	J	`jnl`	Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. CoRR Kuruge Darshana Abeyrathna, Ahmed Abdulrahem Othman Abouzeid, Bimal Bhattarai, Charul Giri, Sondre Glimsdal, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Jivitesh Sharma, Svein Anders Tunheim, Xuan Zhang
2023	J	`jnl`	Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. BMC Medical Informatics Decis. Mak. Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen, Jivitesh Sharma
2023	J	`jnl`	Contracting Tsetlin Machine with Absorbing Automata. CoRR Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen, Svein Anders Tunheim, Rishad A. Shafik, Alex Yakovlev
2023	J	`jnl`	Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification. Microprocess. Microsystems Svein Anders Tunheim, Lei Jiao, Rishad A. Shafik, Alex Yakovlev, Ole-Christoffer Granmo
2023	A*	`conf`	Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. AAAI Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao
2023	J	`jnl`	Efficient Data Fusion using the Tsetlin Machine. CoRR Rupsa Saha, Vladimir I. Zadorozhny, Ole-Christoffer Granmo
2023	J	`jnl`	Energy-frugal and Interpretable AI Hardware Design using Learning Automata. CoRR Rishad A. Shafik, Tousif Rahman, Adrian Wheeldon, Ole-Christoffer Granmo, Alex Yakovlev
2023	B	`conf`	Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment. RuleML+RR Kuruge Darshana Abeyrathna, Sara El Mekkaoui, L. Yi Edward, Andreas Hafver, Ole-Christoffer Granmo
2023	J	`jnl`	Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning. CoRR Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi
2023	J	`jnl`	Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders. CoRR Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo
2023	J	`jnl`	Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification. CoRR Jinbao Zhang, Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Yongjun Qian, Fan Pan
2023	J	`jnl`	Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning. CoRR Ole-Christoffer Granmo, Per-Arne Andersen, Lei Jiao, Xuan Zhang, Christian D. Blakely, Tor Oddbjørn Tveit
2023	J	`jnl`	Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. BMC Medical Informatics Decis. Mak. Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Bjørn Erik Munkvold, Anna Linda Ruthjersen, Jivitesh Sharma
2023	—	`conf`	Natural Language Modeling with the Tsetlin Machine. IEA/AIE (2) Saeed Rahimi Gorji, Ole-Christoffer Granmo, Morten Goodwin
2023	J	`jnl`	Off-policy and on-policy reinforcement learning with the Tsetlin machine. Appl. Intell. Saeed Rahimi Gorji, Ole-Christoffer Granmo
2023	J	`jnl`	On the Convergence of Tsetlin Machines for the XOR Operator. IEEE Trans. Pattern Anal. Mach. Intell. Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna
2023	J	`jnl`	REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines. IEEE Trans. Pattern Anal. Mach. Intell. Sidharth Maheshwari, Tousif Rahman, Rishad A. Shafik, Alex Yakovlev, Ashur Rafiev, Lei Jiao, Ole-Christoffer Granmo
2023	J	`jnl`	TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines. CoRR Ole-Christoffer Granmo
2023	J	`jnl`	Towards artificial virtuous agents: games, dilemmas and machine learning. AI Ethics Ajay Vishwanath, Einar Duenger Bøhn, Ole-Christoffer Granmo, Charl Maree, Christian W. Omlin
2023	—	`conf`	Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. AIAI (2) Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo
2023	J	`jnl`	Tsetlin Machine Embedding: Representing Words Using Logical Expressions. CoRR Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma
2023	J	`jnl`	Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert Syst. J. Knowl. Eng. Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin
2023	J	`jnl`	Verifying Properties of Tsetlin Machines. CoRR Emilia Przybysz, Bimal Bhattarai, Cosimo Persia, Ana Ozaki, Ole-Christoffer Granmo, Jivitesh Sharma
2022	J	`jnl`	A relational tsetlin machine with applications to natural language understanding. J. Intell. Inf. Syst. Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
2022	C	`conf`	CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022	J	`jnl`	CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022	B	`conf`	ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. LREC Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2022	J	`jnl`	CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022	C	`conf`	Cyclostationary Random Number Sequences for the Tsetlin Machine. IEA/AIE Svein Anders Tunheim, Rohan Kumar Yadav, Lei Jiao, Rishad A. Shafik, Ole-Christoffer Granmo
2022	B	`conf`	Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment. LREC Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2022	—	`ed.`	Intelligent Technologies and Applications - 4th International Conference, INTAP 2021, Grimstad, Norway, October 11-13, 2021, Revised Selected Papers INTAP Filippo Sanfilippo, Ole-Christoffer Granmo, Sule Yildirim Yayilgan, Imran Sarwar Bajwa
2022	J	`jnl`	Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. CoRR Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2022	—	`conf`	Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. NAIS Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo
2022	B	`conf`	Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. IJCNN Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely
2022	J	`jnl`	Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. CoRR Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely
2022	J	`jnl`	MMSS: A storytelling simulation software to mitigate misinformation on social media. Softw. Impacts Ahmed Abouzeid, Ole-Christoffer Granmo
2022	J	`jnl`	On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. IEEE Trans. Pattern Anal. Mach. Intell. Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2022	J	`jnl`	On the Equivalence of the Weighted Tsetlin Machine and the Perceptron. CoRR Jivitesh Sharma, Ole-Christoffer Granmo, Lei Jiao
2022	A*	`conf`	Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. IJCAI Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2022	A*	`conf`	Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. AAAI Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
2022	J	`jnl`	Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. CoRR Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
2022	A*	`conf`	Tsetlin Machine for Solving Contextual Bandit Problems. NeurIPS Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
2022	J	`jnl`	Tsetlin Machine for Solving Contextual Bandit Problems. CoRR Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
2022	J	`jnl`	Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines. Appl. Intell. Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2021	J	`jnl`	A Relational Tsetlin Machine with Applications to Natural Language Understanding. CoRR Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
2021	—	`conf`	A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. ICAART (Revised Selected Papers) Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2021	—	`conf`	An Interpretable Word Sense Classifier for Human Explainable Chatbot. ICAART (Revised Selected Papers) Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines. IEA/AIE (1) Christian D. Blakely, Ole-Christoffer Granmo
2021	J	`jnl`	Coalesced Multi-Output Tsetlin Machines with Clause Sharing. CoRR Sondre Glimsdal, Ole-Christoffer Granmo
2021	—	`conf`	Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. ICMLT Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Trans. Syst. Man Cybern. Syst. Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Distributed Word Representation in Tsetlin Machine. CoRR Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. IEA/AIE (1) Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. BlackboxNLP@EMNLP Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	Explainable Reinforcement Learning with the Tsetlin Machine. IEA/AIE (1) Saeed Rahimi Gorji, Ole-Christoffer Granmo, Marco A. Wiering
2021	J	`jnl`	Explainable Tsetlin Machine framework for fake news detection with credibility score assessment. CoRR Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2021	J	`jnl`	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause. CoRR Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao
2021	A*	`conf`	Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. AAAI Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Syst. J. Knowl. Eng. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2021	—	`conf`	Interpretability in Word Sense Disambiguation using Tsetlin Machine. ICAART (2) Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2021	J	`jnl`	Learning Automata-based Misinformation Mitigation via Hawkes Processes. Inf. Syst. Frontiers Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
2021	J	`jnl`	Low-Power Audio Keyword Spotting using Tsetlin Machines. CoRR Jie Lei, Tousif Rahman, Rishad A. Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar, Akhil Mathur
2021	A*	`conf`	Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. ICML Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav
2021	—	`conf`	Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. ICAART (2) Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2021	—	`conf`	Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. SGAI Conf. Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin
2021	—	`conf`	ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2021	J	`jnl`	On the Convergence of Tsetlin Machines for the AND and the OR Operators. CoRR Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo
2021	J	`jnl`	On the Convergence of Tsetlin Machines for the XOR Operator. CoRR Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna
2021	J	`jnl`	Positionless aspect based sentiment analysis using attention mechanism. Knowl. Based Syst. Rohan Kumar Yadav, Lei Jiao, Morten Goodwin, Ole-Christoffer Granmo
2021	J	`jnl`	Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines. CoRR Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2020	J	`jnl`	A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton. IEEE Trans. Neural Networks Learn. Syst. Xuan Zhang, Lei Jiao, B. John Oommen, Ole-Christoffer Granmo
2020	J	`jnl`	A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
2020	—	`conf`	A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI Conf. Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
2020	J	`jnl`	A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2020	—	`conf`	Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. SSCI Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2020	—	`ed.`	Chatbot Research and Design - Third International Workshop, CONVERSATIONS 2019, Amsterdam, The Netherlands, November 19-20, 2019, Revised Selected Papers CONVERSATIONS Asbjørn Følstad, Theo B. Araujo, Symeon Papadopoulos, Effie Lai-Chong Law, Ole-Christoffer Granmo, Ewa Luger, Petter Bae Brandtzæg
2020	J	`jnl`	Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data. CoRR Christian D. Blakely, Ole-Christoffer Granmo
2020	J	`jnl`	Combining a context aware neural network with a denoising autoencoder for measuring string similarities. Comput. Speech Lang. Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2020	—	`conf`	CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020	A	`conf`	Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. INTERSPEECH Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
2020	J	`jnl`	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2020	—	`conf`	From Arithmetic to Logic based AI: A Comparative Analysis of Neural Networks and Tsetlin Machine. ICECS Jie Lei, Adrian Wheeldon, Rishad A. Shafik, Alex Yakovlev, Ole-Christoffer Granmo
2020	C	`conf`	Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. IEA/AIE Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
2020	J	`jnl`	Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. CoRR Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
2020	C	`conf`	Integer Weighted Regression Tsetlin Machines. IEA/AIE Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2020	—	`conf`	Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020	—	`conf`	Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine. SSCI Kuruge Darshana Abeyrathna, Harsha S. Gardiyawasam Pussewalage, Sasanka N. Ranasinghe, Vladimir A. Oleshchuk, Ole-Christoffer Granmo
2020	J	`jnl`	Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. CoRR Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav
2020	J	`jnl`	Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. CoRR Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
2020	—	`conf`	Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI Conf. Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin
2020	—	`conf`	On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. SSCI Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2020	J	`jnl`	On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. CoRR Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
2020	—	`conf`	Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020	J	`jnl`	Towards safe reinforcement-learning in industrial grid-warehousing. Inf. Sci. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2019	J	`jnl`	A Neural Turing~Machine for Conditional Transition Graph Modeling. CoRR Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2019	C	`conf`	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. IEA/AIE Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2019	J	`jnl`	A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
2019	—	`conf`	A Tsetlin Machine with Multigranular Clauses. SGAI Conf. Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin
2019	J	`jnl`	A Tsetlin Machine with Multigranular Clauses. CoRR Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin
2019	—	`conf`	An Iterative Information Retrieval Approach from Social Media in Crisis Situations. ICT-DM Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2019	Misc	`conf`	Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis. FRUCT Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
2019	J	`jnl`	Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. CoRR Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2019	C	`conf`	Hydropower Optimization Using Deep Learning. IEA/AIE Bernt Viggo Matheussen, Ole-Christoffer Granmo, Jivitesh Sharma
2019	C	`conf`	Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. ICMLA Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo
2019	J	`jnl`	Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP J. Inf. Secur. Jivitesh Sharma, Charul Giri, Ole-Christoffer Granmo, Morten Goodwin
2019	C	`conf`	On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods for Three-Dimensional Environments. IEA/AIE Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
2019	J	`jnl`	The Convolutional Tsetlin Machine. CoRR Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge
2019	—	`conf`	The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. EPIA (2) Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin
2019	J	`jnl`	The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. CoRR Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin
2019	J	`jnl`	The Weighted Tsetlin Machine: Compressed Representations with Weighted Clauses. CoRR Adrian Phoulady, Ole-Christoffer Granmo, Saeed Rahimi Gorji, Hady Ahmady Phoulady
2019	C	`conf`	Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation. IEA/AIE Sondre Glimsdal, Ole-Christoffer Granmo
2019	J	`jnl`	Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems. J. Mach. Learn. Res. Sondre Glimsdal, Ole-Christoffer Granmo
2019	—	`conf`	Towards Model-Based Reinforcement Learning for Industry-Near Environments. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2019	J	`jnl`	Towards Model-based Reinforcement Learning for Industry-near Environments. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2019	J	`jnl`	Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. IEEE Access Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen
2018	J	`jnl`	A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem. Appl. Intell. Sondre Glimsdal, Ole-Christoffer Granmo
2018	B	`conf`	A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. ICTAI Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2018	—	`conf`	Deep CNN-ELM Hybrid Models for Fire Detection in Images. ICANN (3) Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
2018	—	`conf`	Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CIG Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	J	`jnl`	Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	—	`conf`	Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks. NIK Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
2018	J	`jnl`	FlashRL: A Reinforcement Learning Platform for Flash Games. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	J	`jnl`	Novel Distance Estimation Methods Using "Stochastic Learning on the Line" Strategies. IEEE Access Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
2018	C	`conf`	On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods. IEA/AIE Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
2018	—	`conf`	Solution of Dual Fuzzy Equations Using a New Iterative Method. ACIIDS (2) Sina Razvarz, Raheleh Jafari, Ole-Christoffer Granmo, Alexander E. Gegov
2018	—	`conf`	The Dreaming Variational Autoencoder for Reinforcement Learning Environments. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	J	`jnl`	The Dreaming Variational Autoencoder for Reinforcement Learning Environments. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018	J	`jnl`	The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic. CoRR Ole-Christoffer Granmo
2018	J	`jnl`	Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications. CoRR Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen
2017	—	`conf`	A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. SGAI Conf. Jahn Thomas Fidje, Christian Kråkevik Haraldseid, Ole-Christoffer Granmo, Morten Goodwin, Bernt Viggo Matheussen
2017	J	`jnl`	An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem. CoRR Sondre Glimsdal, Ole-Christoffer Granmo
2017	J	`jnl`	Bayesian Unification of Gradient and Bandit-based Learning for Accelerated Global Optimisation. CoRR Ole-Christoffer Granmo
2017	—	`conf`	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. ISD Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit
2017	C	`conf`	Deep Convolutional Neural Networks for Fire Detection in Images. EANN Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje
2017	—	`conf`	FlashRL: A Reinforcement Learning Platform for Flash Games. NIK Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017	J	`jnl`	The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality. Pattern Anal. Appl. Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2017	J	`jnl`	Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems. CoRR Sondre Glimsdal, Ole-Christoffer Granmo
2017	—	`conf`	Towards Open Domain Chatbots - A GRU Architecture for Data Driven Conversations. INSCI Workshops Åsmund Kamphaug, Ole-Christoffer Granmo, Morten Goodwin, Vladimir Zadorozhny
2017	—	`conf`	Towards a Deep Reinforcement Learning Approach for Tower Line Wars. SGAI Conf. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017	J	`jnl`	Towards a Deep Reinforcement Learning Approach for Tower Line Wars. CoRR Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017	B	`conf`	Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder. CEC Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2016	J	`jnl`	A formal proof of the 𝜀-optimality of discretized pursuit algorithms. Appl. Intell. Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao
2016	C	`conf`	Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation. ICMLA Ole-Christoffer Granmo
2016	—	`conf`	Deep Learning for Social Media Analysis in Crises Situations (Position paper). SAIS Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2016	Misc	`conf`	Information Abstraction from Crises Related Tweets Using Recurrent Neural Network. AIAI Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
2016	J	`jnl`	Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach. Appl. Intell. Lei Jiao, Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2016	J	`jnl`	Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments. Pattern Recognit. Anis Yazidi, B. John Oommen, Geir Horn, Ole-Christoffer Granmo
2016	—	`conf`	Towards Evacuation Planning of Groups with Genetic Algorithms. SAIS Bjørnar Hansen, Leonard Loland, Morten Goodwin, Ole-Christoffer Granmo
2015	—	`conf`	A Bayesian Network Model for Fire Assessment and Prediction. MOD Mehdi Ben Lazreg, Jaziar Radianti, Ole-Christoffer Granmo
2015	—	`conf`	A methodology for fire data analysis based on pattern recognition towards the disaster management. ICT-DM Simin Rasouli, Ole-Christoffer Granmo, Jaziar Radianti
2015	J	`jnl`	A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters. Appl. Intell. Jaziar Radianti, Ole-Christoffer Granmo, Parvaneh Sarshar, Morten Goodwin Olsen, Julie Dugdale, Jose J. Gonzalez
2015	J	`jnl`	Escape planning in realistic fire scenarios with Ant Colony Optimisation. Appl. Intell. Morten Goodwin Olsen, Ole-Christoffer Granmo, Jaziar Radianti
2015	J	`jnl`	Fire simulation-based adaptation of SmartRescue App for serious game: Design, setup and user experience. Eng. Appl. Artif. Intell. Jaziar Radianti, Mehdi Ben Lazreg, Ole-Christoffer Granmo
2015	C	`conf`	Modeling Snow Dynamics Using a Bayesian Network. IEA/AIE Bernt Viggo Matheussen, Ole-Christoffer Granmo
2015	—	`conf`	SmartRescue: Architecture for Fire Crisis Assessment and Prediction. ISCRAM Mehdi Ben Lazreg, Jaziar Radianti, Ole-Christoffer Granmo
2015	Misc	`conf`	Thompson Sampling Guided Stochastic Searching on the Line for Adversarial Learning. AIAI Sondre Glimsdal, Ole-Christoffer Granmo
2015	C	`conf`	Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning. ICMLA Sondre Glimsdal, Ole-Christoffer Granmo
2014	—	`conf`	A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks. IEA/AIE (2) Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2014	C	`conf`	A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems. ICMLA Sondre Glimsdal, Ole-Christoffer Granmo
2014	J	`jnl`	A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme. IEEE Trans. Cybern. Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen
2014	J	`jnl`	A Two-Armed Bandit Collective for Hierarchical Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection. Trans. Comput. Collect. Intell. Vegard Haugland, Marius Kjølleberg, Svein-Erik Larsen, Ole-Christoffer Granmo
2014	J	`jnl`	A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions. Appl. Intell. Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao
2014	J	`jnl`	Comparing Different Crowd Emergency Evacuation Models Based on Human Centered Sensing Criteria. Int. J. Inf. Syst. Crisis Response Manag. Jaziar Radianti, Ole-Christoffer Granmo, Noureddine Bouhmala, Parvaneh Sarshar, Jose J. Gonzalez
2014	—	`conf`	On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. CSE Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, Morten Goodwin
2014	—	`conf`	Publish-subscribe smartphone sensing platform for the acute phase of a disaster: A framework for emergency management support. PerCom Workshops Jaziar Radianti, Jose J. Gonzalez, Ole-Christoffer Granmo
2014	—	`conf`	Smartphone sensing platform for emergency management. ISCRAM Jaziar Radianti, Julie Dugdale, Jose J. Gonzalez, Ole-Christoffer Granmo
2014	J	`jnl`	Smartphone sensing platform for emergency management. CoRR Jaziar Radianti, Julie Dugdale, Jose J. Gonzalez, Ole-Christoffer Granmo
2014	—	`conf`	Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms. IEA/AIE (1) Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao
2013	—	`conf`	A Bayesian network model for evacuation time analysis during a ship fire. CIDUE Parvaneh Sarshar, Jaziar Radianti, Ole-Christoffer Granmo, Jose J. Gonzalez
2013	C	`conf`	A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning. IEA/AIE Ole-Christoffer Granmo, Jaziar Radianti, Morten Goodwin Olsen, Julie Dugdale, Parvaneh Sarshar, Sondre Glimsdal, Jose J. Gonzalez
2013	J	`jnl`	Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game. Appl. Intell. Ole-Christoffer Granmo, Sondre Glimsdal
2013	C	`conf`	Ant Colony Optimisation for Planning Safe Escape Routes. IEA/AIE Morten Goodwin Olsen, Ole-Christoffer Granmo, Jaziar Radianti, Parvaneh Sarshar, Sondre Glimsdal
2013	—	`conf`	Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-armed Bandit Problems. ICMLA (1) Neha Gupta, Ole-Christoffer Granmo, Ashok K. Agrawala
2013	B	`conf`	Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach. PIMRC Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, B. John Oommen
2013	—	`conf`	Crowd Models for Emergency Evacuation: A Review Targeting Human-Centered Sensing. HICSS Jaziar Radianti, Ole-Christoffer Granmo, Noureddine Bouhmala, Parvaneh Sarshar, Anis Yazidi, Jose J. Gonzalez
2013	—	`conf`	Gaussian Process Based Optimistic Knapsack Sampling with Applications to Stochastic Resource Allocation. MAICS Sondre Glimsdal, Ole-Christoffer Granmo
2013	J	`jnl`	Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns. IEEE Trans. Cybern. Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2013	C	`conf`	On Using the Theory of Regular Functions to Prove the IEA/AIE Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, Lei Jiao
2013	J	`jnl`	On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata. Appl. Intell. Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2013	J	`jnl`	The Use of Weak estimators to Achieve Language Detection and Tracking in Multilingual Documents. Int. J. Pattern Recognit. Artif. Intell. Aleksander Stensby, B. John Oommen, Ole-Christoffer Granmo
2012	C	`conf`	A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem. IEA/AIE Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen
2012	C	`conf`	A Stochastic Search on the Line-Based Solution to Discretized Estimation. IEA/AIE Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2012	Misc	`conf`	A novel Stochastic Discretized Weak Estimator operating in non-stationary environments. ICNC Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo
2012	J	`jnl`	An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators. J. Inf. Process. Syst. B. John Oommen, Anis Yazidi, Ole-Christoffer Granmo
2012	C	`conf`	Discretized Bayesian Pursuit - A New Scheme for Reinforcement Learning. IEA/AIE Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2012	—	`conf`	Multidisciplinary challenges in an integrated emergency management approach. ISCRAM Jose J. Gonzalez, Ole-Christoffer Granmo, Bjørn Erik Munkvold, Frank Y. Li, Julie Dugdale
2012	J	`jnl`	Service selection in stochastic environments: a learning-automaton based solution. Appl. Intell. Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2011	—	`conf`	A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes. HAIS (1) Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2011	—	`conf`	A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning. IEA/AIE (2) Ole-Christoffer Granmo, Sondre Glimsdal
2011	—	`conf`	A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection. ICCCI (1) Vegard Haugland, Marius Kjølleberg, Svein-Erik Larsen, Ole-Christoffer Granmo
2011	J	`jnl`	A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments. Wirel. Pers. Commun. Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Martin Gerdes, Frank Reichert
2011	Misc	`conf`	Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems. AIAI Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo
2011	J	`jnl`	Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem. Eng. Appl. Artif. Intell. Ole-Christoffer Granmo, B. John Oommen
2011	—	`conf`	On the analysis of a new Markov chain which has applications in AI and machine learning. CCECE Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2011	—	`conf`	Successive Reduction of Arms in Multi-Armed Bandits. SGAI Conf. Neha Gupta, Ole-Christoffer Granmo, Ashok K. Agrawala
2011	—	`conf`	The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata. IEA/AIE (2) Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen
2011	—	`conf`	Thompson Sampling for Dynamic Multi-armed Bandits. ICMLA (1) Neha Gupta, Ole-Christoffer Granmo, Ashok K. Agrawala
2011	—	`conf`	Tracking the Preferences of Users Using Weak Estimators. Australasian Conference on Artificial Intelligence Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2010	—	`conf`	A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors. ICAART (1) Thomas Norheim, Terje Brådland, Ole-Christoffer Granmo, B. John Oommen
2010	—	`conf`	A Learning Automata Based Solution to Service Selection in Stochastic Environments. IEA/AIE (3) Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen
2010	J	`jnl`	Combining finite learning automata with GSAT for the satisfiability problem. Eng. Appl. Artif. Intell. Noureddine Bouhmala, Ole-Christoffer Granmo
2010	—	`conf`	Enhancing Local-search based SAT Solvers with Learning Capability. ICAART (1) Ole-Christoffer Granmo, Noureddine Bouhmala
2010	—	`conf`	Language Detection and Tracking in Multilingual Documents Using Weak Estimators. SSPR/SPR Aleksander Stensby, B. John Oommen, Ole-Christoffer Granmo
2010	B	`conf`	Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns. PRICAI Anis Yazidi, Ole-Christoffer Granmo, Min Lin, Xifeng Wen, B. John Oommen, Martin Gerdes, Frank Reichert
2010	J	`jnl`	Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem. Appl. Intell. Ole-Christoffer Granmo, B. John Oommen
2010	—	`conf`	Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters. IEA/AIE (3) Ole-Christoffer Granmo, Stian Berg
2010	J	`jnl`	Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata. IEEE Trans. Computers Ole-Christoffer Granmo, B. John Oommen
2010	J	`jnl`	Solving two-armed Bernoulli bandit problems using a Bayesian learning automaton. Int. J. Intell. Comput. Cybern. Ole-Christoffer Granmo
2010	J	`jnl`	Stochastic Learning for SAT- Encoded Graph Coloring Problems. Int. J. Appl. Metaheuristic Comput. Noureddine Bouhmala, Ole-Christoffer Granmo
2009	C	`conf`	A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling. IEA/AIE Ole-Christoffer Granmo, B. John Oommen
2009	—	`ch.`	Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems. Intelligent Systems for Knowledge Management Ole-Christoffer Granmo, B. John Oommen
2008	C	`conf`	A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems. ICMLA Ole-Christoffer Granmo
2008	C	`conf`	A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling. IEA/AIE Ole-Christoffer Granmo, B. John Oommen
2008	J	`jnl`	A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments. IEEE Trans. Syst. Man Cybern. Part B B. John Oommen, Sang-Woon Kim, M. T. Samuel, Ole-Christoffer Granmo
2008	B	`conf`	Solving Graph Coloring Problems Using Learning Automata. EvoCOP Noureddine Bouhmala, Ole-Christoffer Granmo
2008	—	`conf`	The Bayesian Learning Automaton - Empirical Evaluation with Two-Armed Bernoulli Bandit Problems. SGAI Conf. Ole-Christoffer Granmo
2007	J	`jnl`	Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation. IEEE Trans. Syst. Man Cybern. Part B Ole-Christoffer Granmo, B. John Oommen, Svein Arild Myrer, Morten Goodwin Olsen
2007	—	`conf`	On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems. Australian Conference on Artificial Intelligence Ole-Christoffer Granmo, B. John Oommen
2007	J	`jnl`	Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach. IEEE Trans. Computers B. John Oommen, Sudip Misra, Ole-Christoffer Granmo
2007	J	`jnl`	Solving the Satisfiability Problem Using Finite Learning Automata. Int. J. Comput. Sci. Appl. Ole-Christoffer Granmo, Noureddine Bouhmala
2007	C	`conf`	Stochastic Point Location in Non-stationary Environments and Its Applications. IEA/AIE B. John Oommen, Sang-Woon Kim, Mathew Samuel, Ole-Christoffer Granmo
2007	—	`conf`	Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications. CIG B. John Oommen, Ole-Christoffer Granmo, Asle Pedersen
2006	A*	`conf`	A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering. INFOCOM B. John Oommen, Sudip Misra, Ole-Christoffer Granmo
2006	—	`conf`	Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games. Australian Conference on Artificial Intelligence B. John Oommen, Ole-Christoffer Granmo, Asle Pedersen
2006	—	`conf`	On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem. Intelligent Information Systems Ole-Christoffer Granmo, B. John Oommen
2006	J	`jnl`	Real-time video content analysis: QoS-aware application composition and parallel processing. ACM Trans. Multim. Comput. Commun. Appl. Viktor S. Wold Eide, Ole-Christoffer Granmo, Frank Eliassen, Jørgen Andreas Michaelsen
2004	Misc	`conf`	Parallel hypothesis driven video content analysis. SAC Ole-Christoffer Granmo
2003	A*	`conf`	Supporting timeliness and accuracy in distributed real-time content-based video analysis. ACM Multimedia Viktor S. Wold Eide, Frank Eliassen, Ole-Christoffer Granmo, Olav Lysne
2003	—	`conf`	Techniques for Parallel Execution of the Particle Filter. SCIA Ole-Christoffer Granmo, Frank Eliassen, Olav Lysne, Viktor S. Wold Eide
2003	—	`conf`	Towards a Probabilistic Framework for Analogous Multi-Modal Human-Computer Interaction. HCI (4) Ole-Christoffer Granmo, Vladimir A. Oleshchuk, Mikael Snaprud
2002	—	`conf`	Automatic Resource-aware Construction of Media Indexing Applications for Distributed Processing Environments. PRIS Ole-Christoffer Granmo
2002	—	`conf`	Real-Time Processing of Media Streams: A Case for Event-Based Interaction. ICDCS Workshops Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, Ole-Christoffer Granmo
2002	Misc	`conf`	Real-time Hypothesis Driven Feature Extraction on Parallel Processing Architectures. PDPTA Ole-Christoffer Granmo, Finn Verner Jensen
2002	—	`conf`	Scalable Independent Multi-level Distribution in Multimedia Content Analysis. IDMS/PROMS Viktor S. Wold Eide, Frank Eliassen, Ole-Christoffer Granmo, Olav Lysne