Ole-Christoffer Granmo

ORCID

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 162

Top Venues

Publications

Ole-Christoffer Granmo
TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines. CoRR (2023)
Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen, Jivitesh Sharma
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
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
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. IJCAI (2023)
Rupsa Saha, Vladimir I. Zadorozhny, Ole-Christoffer Granmo
Efficient Data Fusion using the Tsetlin Machine. CoRR (2023)
Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo
Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. AIAI (2) (2023)
Samuel Prescott, Adrian Wheeldon, Rishad Shafik, Tousif Rahman, Alex Yakovlev, Ole-Christoffer Granmo
An FPGA Architecture for Online Learning using the Tsetlin Machine. CoRR (2023)
Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Vladimir Zadorozhny, Jiawei Xu
A Logic-Based Explainable Framework for Relation Classification of Human Rights Violations. NMR (2023)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Morten Goodwin
Natural Language Modeling with the Tsetlin Machine. IEA/AIE (2) (2023)
Kuruge Darshana Abeyrathna, Sara El Mekkaoui, L. Yi Edward, Andreas Hafver, Ole-Christoffer Granmo
Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment. RuleML+RR (2023)
Ole-Christoffer Granmo, Per-Arne Andersen, Lei Jiao, Xuan Zhang, Christian D. Blakely, Tor Oddbjørn Tveit
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning. CoRR (2023)
Rishad A. Shafik, Tousif Rahman, Adrian Wheeldon, Ole-Christoffer Granmo, Alex Yakovlev
Energy-frugal and Interpretable AI Hardware Design using Learning Automata. CoRR (2023)
Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Bjørn Erik Munkvold, A. L. Ruthjersen, J. Sharma
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen, Svein Anders Tunheim, Rishad A. Shafik, Alex Yakovlev
Contracting Tsetlin Machine with Absorbing Automata. CoRR (2023)
Jinbao Zhang, Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Yongjun Qian, Fan Pan
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification. CoRR (2023)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma
Tsetlin Machine Embedding: Representing Words Using Logical Expressions. CoRR (2023)
Emilia Przybysz, Bimal Bhattarai, Cosimo Persia, Ana Ozaki, Ole-Christoffer Granmo, Jivitesh Sharma
Verifying Properties of Tsetlin Machines. CoRR (2023)
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
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. CoRR (2023)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Lei Jiao, Adrian Wheeldon, Alex Yakovlev, Jie Lei, Morten Goodwin
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning. Expert Syst. J. Knowl. Eng. 40 (4) (2023)
Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo
Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders. CoRR (2023)
Ajay Vishwanath, Einar Duenger Bøhn, Ole-Christoffer Granmo, Charl Maree, Christian W. Omlin
Towards artificial virtuous agents: games, dilemmas and machine learning. AI Ethics 3 (3) (2023)
Sidharth Maheshwari, Tousif Rahman, Rishad A. Shafik, Alex Yakovlev, Ashur Rafiev, Lei Jiao, Ole-Christoffer Granmo
REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning. CoRR (2023)
Svein Anders Tunheim, Lei Jiao, Rishad A. Shafik, Alex Yakovlev, Ole-Christoffer Granmo
Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification. Microprocess. Microsystems 103 (2023)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application. ECIR (1) (2023)
Saeed Rahimi Gorji, Ole-Christoffer Granmo
Off-policy and on-policy reinforcement learning with the Tsetlin machine. Appl. Intell. 53 (8) (2023)
Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. AAAI (2023)
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna
On the Convergence of Tsetlin Machines for the XOR Operator. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin
Using Tsetlin Machine to discover interpretable rules in natural language processing applications. Expert Syst. J. Knowl. Eng. 40 (4) (2023)
Ahmed Abouzeid, Ole-Christoffer Granmo
MMSS: A storytelling simulation software to mitigate misinformation on social media. Softw. Impacts 13 (2022)
Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. AAAI (2022)
Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
Tsetlin Machine for Solving Contextual Bandit Problems. NeurIPS (2022)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment. LREC (2022)
Svein Anders Tunheim, Rohan Kumar Yadav, Lei Jiao, Rishad A. Shafik, Ole-Christoffer Granmo
Cyclostationary Random Number Sequences for the Tsetlin Machine. IEA/AIE (2022)
Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
Tsetlin Machine for Solving Contextual Bandit Problems. CoRR (2022)
Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. CoRR (2022)
Jivitesh Sharma, Ole-Christoffer Granmo, Lei Jiao
On the Equivalence of the Weighted Tsetlin Machine and the Perceptron. CoRR (2022)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoRR (2022)
Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
A relational tsetlin machine with applications to natural language understanding. J. Intell. Inf. Syst. 59 (1) (2022)
Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. CoRR (2022)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. LREC (2022)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. CoRR (2022)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. IJCAI (2022)
Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely
Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. CoRR (2022)
Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo
Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. NAIS (2022)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG (2022)
Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely
Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. IJCNN (2022)
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines. Appl. Intell. 52 (15) (2022)
Ajay Vishwanath, Einar Duenger Bøhn, Ole-Christoffer Granmo, Charl Maree, Christian W. Omlin
Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning. CoRR (2022)
Rohan Kumar Yadav, Lei Jiao, Morten Goodwin, Ole-Christoffer Granmo
Positionless aspect based sentiment analysis using attention mechanism. Knowl. Based Syst. 226 (2021)
Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin
A Relational Tsetlin Machine with Applications to Natural Language Understanding. CoRR (2021)
Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao
Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause. CoRR (2021)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. (2021)
Jie Lei, Tousif Rahman, Rishad A. Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar, Akhil Mathur
Low-Power Audio Keyword Spotting using Tsetlin Machines. CoRR (2021)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. ICAART (2) (2021)
Ahmed Abouzeid, Ole-Christoffer Granmo, Morten Goodwin
Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. SGAI Conf. (2021)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment. CoRR (2021)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Syst. J. Knowl. Eng. 38 (7) (2021)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Marco A. Wiering
Explainable Reinforcement Learning with the Tsetlin Machine. IEA/AIE (1) (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. BlackboxNLP@EMNLP (2021)
Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. IEA/AIE (1) (2021)
Christian D. Blakely, Ole-Christoffer Granmo
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines. IEA/AIE (1) (2021)
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna
On the Convergence of Tsetlin Machines for the XOR Operator. CoRR (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. AAAI (2021)
Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. ICML (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Interpretability in Word Sense Disambiguation using Tsetlin Machine. ICAART (2) (2021)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines. CoRR (2021)
Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Trans. Syst. Man Cybern. Syst. 51 (12) (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
An Interpretable Word Sense Classifier for Human Explainable Chatbot. ICAART (Revised Selected Papers) (2021)
Sondre Glimsdal, Ole-Christoffer Granmo
Coalesced Multi-Output Tsetlin Machines with Clause Sharing. CoRR (2021)
Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
Distributed Word Representation in Tsetlin Machine. CoRR (2021)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. ICMLT (2021)
Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo
On the Convergence of Tsetlin Machines for the AND and the OR Operators. CoRR (2021)
Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin
Learning Automata-based Misinformation Mitigation via Hawkes Processes. Inf. Syst. Frontiers 23 (5) (2021)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. ICAART (Revised Selected Papers) (2021)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access 9 (2021)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. CoRR (2020)
Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI Conf. (2020)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. IEA/AIE (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) (2020)
Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. CoRR (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Towards safe reinforcement-learning in industrial grid-warehousing. Inf. Sci. 537 (2020)
Christian D. Blakely, Ole-Christoffer Granmo
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data. CoRR (2020)
Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. CoRR (2020)
Kuruge Darshana Abeyrathna, Harsha S. Gardiyawasam Pussewalage, Sasanka N. Ranasinghe, Vladimir A. Oleshchuk, Ole-Christoffer Granmo
Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine. SSCI (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. SSCI (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. SSCI (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. CoRR (2020)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao
Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. CoRR (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI Conf. (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. (2020)
Xuan Zhang, Lei Jiao, B. John Oommen, Ole-Christoffer Granmo
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton. IEEE Trans. Neural Networks Learn. Syst. 31 (1) (2020)
Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
Combining a context aware neural network with a denoising autoencoder for measuring string similarities. Comput. Speech Lang. 60 (2020)
Jie Lei, Adrian Wheeldon, Rishad A. Shafik, Alex Yakovlev, Ole-Christoffer Granmo
From Arithmetic to Logic based AI: A Comparative Analysis of Neural Networks and Tsetlin Machine. ICECS (2020)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. CoRR (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin
Integer Weighted Regression Tsetlin Machines. IEA/AIE (2020)
Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. INTERSPEECH (2020)
Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. CoRR (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP (2020)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin
A Tsetlin Machine with Multigranular Clauses. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ole-Christoffer Granmo