Ole-Christoffer Granmo
Orcid: 0000-0002-7287-030X
According to our database1,
Ole-Christoffer Granmo
authored at least 208 papers
between 2002 and 2024.
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Bibliography
2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records.
BMC Medical Informatics Decis. Mak., December, 2023
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital.
BMC Medical Informatics Decis. Mak., December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
Using Tsetlin Machine to discover interpretable rules in natural language processing applications.
Expert Syst. J. Knowl. Eng., May, 2023
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning.
Expert Syst. J. Knowl. Eng., May, 2023
Appl. Intell., April, 2023
Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification.
Microprocess. Microsystems, 2023
Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders.
CoRR, 2023
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification.
CoRR, 2023
AI Ethics, 2023
Proceedings of the Rules and Reasoning - 7th International Joint Conference, 2023
A Logic-Based Explainable Framework for Relation Classification of Human Rights Violations.
Proceedings of the 21st International Workshop on Non-Monotonic Reasoning co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023) and co-located with the 36th International Workshop on Description Logics (DL 2023), 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application.
Proceedings of the Advances in Information Retrieval, 2023
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Softw. Impacts, 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
J. Intell. Inf. Syst., 2022
Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines.
Appl. Intell., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Knowl. Based Syst., 2021
Inf. Syst. Frontiers, 2021
Increasing sample efficiency in deep reinforcement learning using generative environment modelling.
Expert Syst. J. Knowl. Eng., 2021
CoRR, 2021
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability.
IEEE Access, 2021
Proceedings of the Artificial Intelligence XXXVIII, 2021
Proceedings of the Artificial Intelligence XXXVIII, 2021
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression.
Proceedings of the ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23, 2021
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 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, 2021
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton.
IEEE Trans. Neural Networks Learn. Syst., 2020
Combining a context aware neural network with a denoising autoencoder for measuring string similarities.
Comput. Speech Lang., 2020
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data.
CoRR, 2020
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation.
CoRR, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines.
Proceedings of the Artificial Intelligence XXXVII, 2020
Proceedings of the Artificial Intelligence XXXVII, 2020
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning.
Proceedings of the Artificial Intelligence XXXVII, 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network.
Proceedings of the Interspeech 2020, 2020
Proceedings of the Intelligent Technologies and Applications, 2020
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
From Arithmetic to Logic based AI: A Comparative Analysis of Neural Networks and Tsetlin Machine.
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020
2019
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems.
J. Mach. Learn. Res., 2019
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation.
EURASIP J. Inf. Secur., 2019
CoRR, 2019
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications.
IEEE Access, 2019
Proceedings of the Artificial Intelligence XXXVI, 2019
Proceedings of the Artificial Intelligence XXXVI, 2019
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods for Three-Dimensional Environments.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis.
Proceedings of the 25th Conference of Open Innovations Association, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
2018
The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic.
CoRR, 2018
A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem.
Appl. Intell., 2018
Novel Distance Estimation Methods Using "Stochastic Learning on the Line" Strategies.
IEEE Access, 2018
Proceedings of the Artificial Intelligence XXXV, 2018
Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks.
Proceedings of the 31st Norsk Informatikkonferanse, 2018
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018
2017
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality.
Pattern Anal. Appl., 2017
An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem.
CoRR, 2017
A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation.
Proceedings of the Artificial Intelligence XXXIV, 2017
Proceedings of the Artificial Intelligence XXXIV, 2017
Proceedings of the 30th Norsk Informatikkonferanse, 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.
Proceedings of the Information Systems Development: Advances in Methods, Tools and Management, 2017
Proceedings of the Internet Science, 2017
Proceedings of the Engineering Applications of Neural Networks, 2017
Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments.
Pattern Recognit., 2016
Appl. Intell., 2016
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach.
Appl. Intell., 2016
Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016
Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016
Proceedings of the Artificial Intelligence Applications and Innovations, 2016
Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
Fire simulation-based adaptation of SmartRescue App for serious game: Design, setup and user experience.
Eng. Appl. Artif. Intell., 2015
A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters.
Appl. Intell., 2015
Appl. Intell., 2015
Proceedings of the Machine Learning, Optimization, and Big Data, 2015
Proceedings of the 12th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2015
Proceedings of the Artificial Intelligence Applications and Innovations, 2015
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
A methodology for fire data analysis based on pattern recognition towards the disaster management.
Proceedings of the 2nd International Conference on Information and Communication Technologies for Disaster Management, 2015
Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme.
IEEE Trans. Cybern., 2014
A Two-Armed Bandit Collective for Hierarchical Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection.
Trans. Comput. Collect. Intell., 2014
Comparing Different Crowd Emergency Evacuation Models Based on Human Centered Sensing Criteria.
Int. J. Inf. Syst. Crisis Response Manag., 2014
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions.
Appl. Intell., 2014
Publish-subscribe smartphone sensing platform for the acute phase of a disaster: A framework for emergency management support.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014
Proceedings of the 11th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2014
Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms.
Proceedings of the Modern Advances in Applied Intelligence, 2014
A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks.
Proceedings of the Modern Advances in Applied Intelligence, 2014
A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
2013
Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns.
IEEE Trans. Cybern., 2013
The Use of Weak estimators to Achieve Language Detection and Tracking in Multilingual Documents.
Int. J. Pattern Recognit. Artif. Intell., 2013
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata.
Appl. Intell., 2013
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game.
Appl. Intell., 2013
Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013
Gaussian Process Based Optimistic Knapsack Sampling with Applications to Stochastic Resource Allocation.
Proceedings of the 24th Midwest Artificial Intelligence and Cognitive Science Conference 2013, 2013
On Using the Theory of Regular Functions to Prove the <i>ε</i>-Optimality of the Continuous Pursuit Learning Automaton.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013
A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013
Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-armed Bandit Problems.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013
2012
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators.
J. Inf. Process. Syst., 2012
Appl. Intell., 2012
Proceedings of the 9th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
A novel Stochastic Discretized Weak Estimator operating in non-stationary environments.
Proceedings of the International Conference on Computing, Networking and Communications, 2012
2011
A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments.
Wirel. Pers. Commun., 2011
Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem.
Eng. Appl. Artif. Intell., 2011
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011
Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011
Proceedings of the Modern Approaches in Applied Intelligence, 2011
Proceedings of the Modern Approaches in Applied Intelligence, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011
A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
On the analysis of a new Markov chain which has applications in AI and machine learning.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata.
IEEE Trans. Computers, 2010
Int. J. Intell. Comput. Cybern., 2010
Int. J. Appl. Metaheuristic Comput., 2010
Eng. Appl. Artif. Intell., 2010
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem.
Appl. Intell., 2010
Proceedings of the Structural, 2010
Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters.
Proceedings of the Trends in Applied Intelligent Systems, 2010
A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010
Enhancing Local-search based SAT Solvers with Learning Capability.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010
2009
Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009
Proceedings of the Next-Generation Applied Intelligence, 2009
2008
A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments.
IEEE Trans. Syst. Man Cybern. Part B, 2008
The Bayesian Learning Automaton - Empirical Evaluation with Two-Armed Bernoulli Bandit Problems.
Proceedings of the Research and Development in Intelligent Systems XXV, 2008
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008
2007
Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation.
IEEE Trans. Syst. Man Cybern. Part B, 2007
Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach.
IEEE Trans. Computers, 2007
Int. J. Comput. Sci. Appl., 2007
Proceedings of the New Trends in Applied Artificial Intelligence, 2007
Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007
On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
2006
Real-time video content analysis: QoS-aware application composition and parallel processing.
ACM Trans. Multim. Comput. Commun. Appl., 2006
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006
On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem.
Proceedings of the Intelligent Information Processing and Web Mining, 2006
Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2004
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004
2003
Proceedings of the Image Analysis, 13th Scandinavian Conference, 2003
Supporting timeliness and accuracy in distributed real-time content-based video analysis.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003
Towards a Probabilistic Framework for Analogous Multi-Modal Human-Computer Interaction.
Proceedings of the Human-Computer Interaction: Universal Access in HCI: Inclusive Design in the Information Society, 2003
2002
Automatic Resource-aware Construction of Media Indexing Applications for Distributed Processing Environments.
Proceedings of the Pattern Recognition in Information Systems, 2002
Real-time Hypothesis Driven Feature Extraction on Parallel Processing Architectures.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002
Proceedings of the Protocols and Systems for Interactive Distributed Multimedia, 2002
Proceedings of the 22nd International Conference on Distributed Computing Systems, 2002