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Ole-Christoffer Granmo
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2020 – today
- 2024
- [j57]Per-Arne Andersen
, Morten Goodwin, Ole-Christoffer Granmo:
Towards safe and sustainable reinforcement learning for real-time strategy games. Inf. Sci. 679: 120980 (2024) - [j56]Ahmed Abouzeid
, Ole-Christoffer Granmo, Morten Goodwin, Christian Webersik:
Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance. J. Comput. Soc. Sci. 7(1): 741-776 (2024) - [c129]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma:
Tsetlin Machine Embedding: Representing Words Using Logical Expressions. EACL (Findings) 2024: 1512-1522 - [i57]Ylva Grønningsæter, Halvor S. Smørvik, Ole-Christoffer Granmo:
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites. CoRR abs/2406.00704 (2024) - [i56]Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke, Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen:
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines. CoRR abs/2406.02648 (2024) - [i55]Ahmed K. Kadhim, Ole-Christoffer Granmo, Lei Jiao, Rishad A. Shafik:
Exploring State Space and Reasoning by Elimination in Tsetlin Machines. CoRR abs/2407.09162 (2024) - 2023
- [j55]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): 663-672 (2023) - [j54]Saeed Rahimi Gorji
, Ole-Christoffer Granmo
:
Off-policy and on-policy reinforcement learning with the Tsetlin machine. Appl. Intell. 53(8): 8596-8613 (2023) - [j53]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) - [j52]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) - [j51]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: 104949 (2023) - [j50]Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Bjørn Erik Munkvold, Anna Linda Ruthjersen, Jivitesh 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): 5 (2023) - [j49]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): 188 (2023) - [j48]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): 6072-6085 (2023) - [j47]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): 11152-11168 (2023) - [c128]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: 13547-13555 - [c127]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application. ECIR (1) 2023: 167-181 - [c126]Saeed Rahimi Gorji
, Ole-Christoffer Granmo
, Morten Goodwin
:
Natural Language Modeling with the Tsetlin Machine. IEA/AIE (2) 2023: 141-150 - [c125]Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo:
Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. AIAI (2) 2023: 569-578 - [c124]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: 3395-3403 - [c123]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: 14-21 - [c122]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: 19-33 - [i54]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma:
Tsetlin Machine Embedding: Representing Words Using Logical Expressions. CoRR abs/2301.00709 (2023) - [i53]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 abs/2301.08190 (2023) - [i52]Jinbao Zhang, Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Yongjun Qian, Fan Pan:
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification. CoRR abs/2301.10181 (2023) - [i51]Emilia Przybysz, Bimal Bhattarai, Cosimo Persia, Ana Ozaki, Ole-Christoffer Granmo, Jivitesh Sharma:
Verifying Properties of Tsetlin Machines. CoRR abs/2303.14464 (2023) - [i50]Rishad A. Shafik, Tousif Rahman, Adrian Wheeldon, Ole-Christoffer Granmo, Alex Yakovlev:
Energy-frugal and Interpretable AI Hardware Design using Learning Automata. CoRR abs/2305.11928 (2023) - [i49]Samuel Prescott, Adrian Wheeldon, Rishad A. Shafik, Tousif Rahman, Alex Yakovlev, Ole-Christoffer Granmo:
An FPGA Architecture for Online Learning using the Tsetlin Machine. CoRR abs/2306.01027 (2023) - [i48]Ole-Christoffer Granmo:
TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines. CoRR abs/2309.04801 (2023) - [i47]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 abs/2309.06315 (2023) - [i46]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 abs/2310.02005 (2023) - [i45]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 abs/2310.11481 (2023) - [i44]Daniel Biermann, Fabrizio Palumbo, Morten Goodwin, Ole-Christoffer Granmo:
Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders. CoRR abs/2310.14837 (2023) - [i43]Rupsa Saha, Vladimir I. Zadorozhny, Ole-Christoffer Granmo:
Efficient Data Fusion using the Tsetlin Machine. CoRR abs/2310.17207 (2023) - 2022
- [j46]Bimal Bhattarai
, Ole-Christoffer Granmo, Lei Jiao:
Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines. Appl. Intell. 52(15): 17465-17489 (2022) - [j45]Rupsa Saha
, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin:
A relational tsetlin machine with applications to natural language understanding. J. Intell. Inf. Syst. 59(1): 121-148 (2022) - [j44]Xuan Zhang
, Lei Jiao
, Ole-Christoffer Granmo
, Morten Goodwin:
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6345-6359 (2022) - [j43]Ahmed Abouzeid
, Ole-Christoffer Granmo:
MMSS: A storytelling simulation software to mitigate misinformation on social media. Softw. Impacts 13: 100341 (2022) - [c121]Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. AAAI 2022: 11801-11809 - [c120]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG 2022: 361-368 - [c119]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: 844-856 - [c118]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. IJCAI 2022: 4439-4446 - [c117]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: 1-9 - [c116]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. LREC 2022: 3761-3770 - [c115]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment. LREC 2022: 4894-4903 - [c114]Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo:
Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. NAIS 2022: 3-15 - [c113]Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo:
Tsetlin Machine for Solving Contextual Bandit Problems. NeurIPS 2022 - [e2]Filippo Sanfilippo
, Ole-Christoffer Granmo
, Sule Yildirim Yayilgan
, Imran Sarwar Bajwa
:
Intelligent Technologies and Applications - 4th International Conference, INTAP 2021, Grimstad, Norway, October 11-13, 2021, Revised Selected Papers. Communications in Computer and Information Science 1616, Springer 2022, ISBN 978-3-031-10524-1 [contents] - [i42]Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo:
Tsetlin Machine for Solving Contextual Bandit Problems. CoRR abs/2202.01914 (2022) - [i41]Charul Giri, Ole-Christoffer Granmo, Herke van Hoof, Christian D. Blakely:
Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine. CoRR abs/2203.04378 (2022) - [i40]Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. CoRR abs/2203.12537 (2022) - [i39]Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. CoRR abs/2210.01231 (2022) - [i38]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoRR abs/2210.01235 (2022) - [i37]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. CoRR abs/2210.01805 (2022) - [i36]Jivitesh Sharma, Ole-Christoffer Granmo, Lei Jiao:
On the Equivalence of the Weighted Tsetlin Machine and the Perceptron. CoRR abs/2212.13634 (2022) - 2021
- [j42]Kuruge Darshana Abeyrathna
, Ole-Christoffer Granmo
, Morten Goodwin:
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. IEEE Access 9: 8233-8248 (2021) - [j41]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) - [j40]Ahmed Abouzeid
, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Learning Automata-based Misinformation Mitigation via Hawkes Processes. Inf. Syst. Frontiers 23(5): 1169-1188 (2021) - [j39]Rohan Kumar Yadav
, Lei Jiao, Morten Goodwin, Ole-Christoffer Granmo
:
Positionless aspect based sentiment analysis using attention mechanism. Knowl. Based Syst. 226: 107136 (2021) - [j38]Jivitesh Sharma
, Per-Arne Andersen
, Ole-Christoffer Granmo
, Morten Goodwin:
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7363-7381 (2021) - [c112]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. AAAI 2021: 14203-14212 - [c111]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. BlackboxNLP@EMNLP 2021: 265-274 - [c110]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
An Interpretable Word Sense Classifier for Human Explainable Chatbot. ICAART (Revised Selected Papers) 2021: 236-249 - [c109]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. ICAART (Revised Selected Papers) 2021: 250-268 - [c108]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Interpretability in Word Sense Disambiguation using Tsetlin Machine. ICAART (2) 2021: 402-409 - [c107]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: 410-417 - [c106]Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav:
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. ICML 2021: 10-20 - [c105]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. ICMLT 2021: 65-73 - [c104]Jivitesh Sharma
, Ole-Christoffer Granmo, Morten Goodwin:
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. IEA/AIE (1) 2021: 101-112 - [c103]Christian D. Blakely, Ole-Christoffer Granmo
:
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines. IEA/AIE (1) 2021: 158-172 - [c102]Saeed Rahimi Gorji
, Ole-Christoffer Granmo
, Marco A. Wiering
:
Explainable Reinforcement Learning with the Tsetlin Machine. IEA/AIE (1) 2021: 173-187 - [c101]Per-Arne Andersen
, Morten Goodwin
, Ole-Christoffer Granmo
:
ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. 2021: 44-57 - [c100]Ahmed Abouzeid
, Ole-Christoffer Granmo
, Morten Goodwin
:
Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes. SGAI Conf. 2021: 146-151 - [i35]Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna:
On the Convergence of Tsetlin Machines for the XOR Operator. CoRR abs/2101.02547 (2021) - [i34]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 abs/2101.11336 (2021) - [i33]Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny, Morten Goodwin:
A Relational Tsetlin Machine with Applications to Natural Language Understanding. CoRR abs/2102.10952 (2021) - [i32]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Distributed Word Representation in Tsetlin Machine. CoRR abs/2104.06901 (2021) - [i31]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines. CoRR abs/2105.04708 (2021) - [i30]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment. CoRR abs/2105.09114 (2021) - [i29]Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao:
Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause. CoRR abs/2105.14506 (2021) - [i28]Sondre Glimsdal, Ole-Christoffer Granmo:
Coalesced Multi-Output Tsetlin Machines with Clause Sharing. CoRR abs/2108.07594 (2021) - [i27]Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo:
On the Convergence of Tsetlin Machines for the AND and the OR Operators. CoRR abs/2109.09488 (2021) - 2020
- [j37]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) - [j36]Per-Arne Andersen
, Morten Goodwin, Ole-Christoffer Granmo
:
Towards safe reinforcement-learning in industrial grid-warehousing. Inf. Sci. 537: 467-484 (2020) - [j35]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): 284-294 (2020) - [c99]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: 1-4 - [c98]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Integer Weighted Regression Tsetlin Machines. IEA/AIE 2020: 686-694 - [c97]Saeed Rahimi Gorji
, Ole-Christoffer Granmo
, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin:
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. IEA/AIE 2020: 695-708 - [c96]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP 2020: 127-138 - [c95]Jivitesh Sharma
, Ole-Christoffer Granmo, Morten Goodwin:
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. INTERSPEECH 2020: 1186-1190 - [c94]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) 2020: 169-180 - [c93]Rupsa Saha
, Ole-Christoffer Granmo
, Morten Goodwin
:
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI Conf. 2020: 67-78 - [c92]Per-Arne Andersen
, Morten Goodwin
, Ole-Christoffer Granmo
:
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. 2020: 94-107 - [c91]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon
, Jie Lei, Morten Goodwin:
A Novel Multi-step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. SGAI Conf. 2020: 108-122 - [c90]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. SSCI 2020: 662-669 - [c89]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: 1121-1130 - [c88]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines. SSCI 2020: 2084-2092 - [e1]Asbjørn Følstad
, Theo B. Araujo
, Symeon Papadopoulos
, Effie Lai-Chong Law
, Ole-Christoffer Granmo
, Ewa Luger
, Petter Bae Brandtzæg
:
Chatbot Research and Design - Third International Workshop, CONVERSATIONS 2019, Amsterdam, The Netherlands, November 19-20, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11970, Springer 2020, ISBN 978-3-030-39539-1 [contents] - [i26]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation. CoRR abs/2002.01245 (2020) - [i25]Saeed Rahimi Gorji, Ole-Christoffer Granmo, Sondre Glimsdal, Jonathan Edwards, Morten Goodwin:
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing. CoRR abs/2004.03188 (2020) - [i24]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. CoRR abs/2005.05131 (2020) - [i23]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad A. Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei
, Morten Goodwin:
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning. CoRR abs/2007.02114 (2020) - [i22]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 abs/2007.13885 (2020) - [i21]Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators. CoRR abs/2007.14268 (2020) - [i20]Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav:
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. CoRR abs/2009.04861 (2020) - [i19]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 abs/2011.08755 (2020)
2010 – 2019
- 2019
- [j34]Geir Thore Berge
, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao
, Bernt Viggo Matheussen:
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications. IEEE Access 7: 115134-115146 (2019) - [j33]Jivitesh Sharma
, Charul Giri, Ole-Christoffer Granmo, Morten Goodwin:
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP J. Inf. Secur. 2019: 16 (2019) - [j32]Sondre Glimsdal, Ole-Christoffer Granmo:
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems. J. Mach. Learn. Res. 20: 52:1-52:24 (2019) - [c87]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin:
The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. EPIA (2) 2019: 268-280 - [c86]Ahmed Abouzeid
, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis. FRUCT 2019: 3-14 - [c85]Jivitesh Sharma
, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo:
Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. ICMLA 2019: 882-888 - [c84]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
An Iterative Information Retrieval Approach from Social Media in Crisis Situations. ICT-DM 2019: 1-8 - [c83]Jessica Havelock, B. John Oommen
, Ole-Christoffer Granmo
:
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods for Three-Dimensional Environments. IEA/AIE 2019: 39-49 - [c82]Sondre Glimsdal, Ole-Christoffer Granmo
:
Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation. IEA/AIE 2019: 71-78 - [c81]Bernt Viggo Matheussen, Ole-Christoffer Granmo
, Jivitesh Sharma
:
Hydropower Optimization Using Deep Learning. IEA/AIE 2019: 110-122 - [c80]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo
, Xuan Zhang, Morten Goodwin:
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. IEA/AIE 2019: 564-578 - [c79]Per-Arne Andersen
, Morten Goodwin
, Ole-Christoffer Granmo
:
Towards Model-Based Reinforcement Learning for Industry-Near Environments. SGAI Conf. 2019: 36-49 - [c78]Saeed Rahimi Gorji
, Ole-Christoffer Granmo
, Adrian Phoulady
, Morten Goodwin
:
A Tsetlin Machine with Multigranular Clauses. SGAI Conf. 2019: 146-151 - [i18]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Morten Goodwin:
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks. CoRR abs/1905.04199 (2019) - [i17]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, Morten Goodwin:
The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems. CoRR abs/1905.04206 (2019) - [i16]Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. CoRR abs/1905.09673 (2019) - [i15]Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge:
The Convolutional Tsetlin Machine. CoRR abs/1905.09688 (2019) - [i14]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
A Neural Turing~Machine for Conditional Transition Graph Modeling. CoRR abs/1907.06432 (2019) - [i13]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards Model-based Reinforcement Learning for Industry-near Environments. CoRR abs/1907.11971 (2019) - [i12]Saeed Rahimi Gorji, Ole-Christoffer Granmo, Adrian Phoulady, Morten Goodwin:
A Tsetlin Machine with Multigranular Clauses. CoRR abs/1909.07310 (2019) - [i11]Adrian Phoulady, Ole-Christoffer Granmo, Saeed Rahimi Gorji, Hady Ahmady Phoulady:
The Weighted Tsetlin Machine: Compressed Representations with Weighted Clauses. CoRR abs/1911.12607 (2019) - 2018
- [j31]Jessica Havelock, B. John Oommen
, Ole-Christoffer Granmo
:
Novel Distance Estimation Methods Using "Stochastic Learning on the Line" Strategies. IEEE Access 6: 48438-48454 (2018) - [j30]Sondre Glimsdal, Ole-Christoffer Granmo
:
A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem. Appl. Intell. 48(10): 3735-3747 (2018) - [c77]Sina Razvarz
, Raheleh Jafari
, Ole-Christoffer Granmo
, Alexander E. Gegov:
Solution of Dual Fuzzy Equations Using a New Iterative Method. ACIIDS (2) 2018: 245-255 - [c76]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
:
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CIG 2018: 1-8 - [c75]Jivitesh Sharma
, Ole-Christoffer Granmo
, Morten Goodwin:
Deep CNN-ELM Hybrid Models for Fire Detection in Images. ICANN (3) 2018: 245-259 - [c74]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo
, Morten Goodwin:
A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. ICTAI 2018: 680-685 - [c73]Jessica Havelock, B. John Oommen
, Ole-Christoffer Granmo
:
On Using "Stochastic Learning on the Line" to Design Novel Distance Estimation Methods. IEA/AIE 2018: 34-42 - [c72]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Effect of Data from Neighbouring Regions to Forecast Dengue Incidences in Different Regions of Philippines Using Artificial Neural Networks. NIK 2018 - [c71]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. SGAI Conf. 2018: 143-155 - [i10]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
FlashRL: A Reinforcement Learning Platform for Flash Games. CoRR abs/1801.08841 (2018) - [i9]Ole-Christoffer Granmo:
The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic. CoRR abs/1804.01508 (2018) - [i8]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CoRR abs/1808.05032 (2018) - [i7]Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, Bernt Viggo Matheussen:
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications. CoRR abs/1809.04547 (2018) - [i6]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. CoRR abs/1810.01112 (2018) - 2017
- [j29]Xuan Zhang, B. John Oommen
, Ole-Christoffer Granmo
:
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality. Pattern Anal. Appl. 20(3): 797-808 (2017) - [c70]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
:
Vector representation of non-standard spellings using dynamic time warping and a denoising autoencoder. CEC 2017: 1444-1450 - [c69]Jivitesh Sharma, Ole-Christoffer Granmo
, Morten Goodwin, Jahn Thomas Fidje:
Deep Convolutional Neural Networks for Fire Detection in Images. EANN 2017: 183-193 - [c68]Åsmund Kamphaug, Ole-Christoffer Granmo
, Morten Goodwin, Vladimir Zadorozhny:
Towards Open Domain Chatbots - A GRU Architecture for Data Driven Conversations. INSCI Workshops 2017: 213-222 - [c67]Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit:
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 2017 - [c66]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
FlashRL: A Reinforcement Learning Platform for Flash Games. NIK 2017 - [c65]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
:
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. SGAI Conf. 2017: 101-114 - [c64]Jahn Thomas Fidje, Christian Kråkevik Haraldseid, Ole-Christoffer Granmo
, Morten Goodwin, Bernt Viggo Matheussen:
A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation. SGAI Conf. 2017: 163-168 - [i5]Ole-Christoffer Granmo:
Bayesian Unification of Gradient and Bandit-based Learning for Accelerated Global Optimisation. CoRR abs/1705.09922 (2017) - [i4]Sondre Glimsdal, Ole-Christoffer Granmo:
An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem. CoRR abs/1707.03098 (2017) - [i3]Sondre Glimsdal, Ole-Christoffer Granmo:
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems. CoRR abs/1708.01791 (2017) - [i2]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. CoRR abs/1712.06180 (2017) - 2016
- [j28]Xuan Zhang, B. John Oommen
, Ole-Christoffer Granmo
, Lei Jiao:
A formal proof of the 𝜀-optimality of discretized pursuit algorithms. Appl. Intell. 44(2): 282-294 (2016) - [j27]Lei Jiao, Xuan Zhang, B. John Oommen
, Ole-Christoffer Granmo
:
Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach. Appl. Intell. 44(2): 307-321 (2016) - [j26]Anis Yazidi, B. John Oommen
, Geir Horn
, Ole-Christoffer Granmo
:
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments. Pattern Recognit. 60: 430-443 (2016) - [c63]Ole-Christoffer Granmo:
Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation. ICMLA 2016: 222-226 - [c62]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo
:
Information Abstraction from Crises Related Tweets Using Recurrent Neural Network. AIAI 2016: 441-452 - [c61]Bjørnar Hansen, Leonard Loland, Morten Goodwin, Ole-Christoffer Granmo:
Towards Evacuation Planning of Groups with Genetic Algorithms. SAIS 2016: 129:003 - [c60]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
Deep Learning for Social Media Analysis in Crises Situations (Position paper). SAIS 2016: 129:004 - 2015
- [j25]Jaziar Radianti
, Ole-Christoffer Granmo
, Parvaneh Sarshar, Morten Goodwin Olsen, Julie Dugdale, Jose J. Gonzalez:
A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters. Appl. Intell. 42(1): 3-23 (2015) - [j24]Morten Goodwin Olsen, Ole-Christoffer Granmo
, Jaziar Radianti
:
Escape planning in realistic fire scenarios with Ant Colony Optimisation. Appl. Intell. 42(1): 24-35 (2015) - [j23]Jaziar Radianti
, Mehdi Ben Lazreg, Ole-Christoffer Granmo
:
Fire simulation-based adaptation of SmartRescue App for serious game: Design, setup and user experience. Eng. Appl. Artif. Intell. 46: 312-325 (2015) - [c59]Sondre Glimsdal, Ole-Christoffer Granmo
:
Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning. ICMLA 2015: 687-692 - [c58]Simin Rasouli
, Ole-Christoffer Granmo
, Jaziar Radianti
:
A methodology for fire data analysis based on pattern recognition towards the disaster management. ICT-DM 2015: 130-137 - [c57]Bernt Viggo Matheussen, Ole-Christoffer Granmo
:
Modeling Snow Dynamics Using a Bayesian Network. IEA/AIE 2015: 382-393 - [c56]Sondre Glimsdal, Ole-Christoffer Granmo
:
Thompson Sampling Guided Stochastic Searching on the Line for Adversarial Learning. AIAI 2015: 307-317 - [c55]Mehdi Ben Lazreg, Jaziar Radianti, Ole-Christoffer Granmo:
SmartRescue: Architecture for Fire Crisis Assessment and Prediction. ISCRAM 2015 - [c54]Mehdi Ben Lazreg, Jaziar Radianti
, Ole-Christoffer Granmo
:
A Bayesian Network Model for Fire Assessment and Prediction. MOD 2015: 269-279 - 2014
- [j22]Xuan Zhang, Ole-Christoffer Granmo
, B. John Oommen
, Lei Jiao:
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions. Appl. Intell. 41(3): 974-985 (2014) - [j21]Jaziar Radianti
, Ole-Christoffer Granmo, Noureddine Bouhmala, Parvaneh Sarshar, Jose J. Gonzalez:
Comparing Different Crowd Emergency Evacuation Models Based on Human Centered Sensing Criteria. Int. J. Inf. Syst. Crisis Response Manag. 6(3): 53-70 (2014) - [j20]Vegard Haugland, Marius Kjølleberg, Svein-Erik Larsen, Ole-Christoffer Granmo:
A Two-Armed Bandit Collective for Hierarchical Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection. Trans. Comput. Collect. Intell. 14: 1-19 (2014) - [j19]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
, Morten Goodwin Olsen:
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme. IEEE Trans. Cybern. 44(11): 2202-2220 (2014) - [c53]Anis Yazidi, B. John Oommen
, Ole-Christoffer Granmo
, Morten Goodwin:
On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. CSE 2014: 32-37 - [c52]Sondre Glimsdal, Ole-Christoffer Granmo
:
A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems. ICMLA 2014: 594-599 - [c51]Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo
, B. John Oommen
:
A Bayesian Learning Automata-Based Distributed Channel Selection Scheme for Cognitive Radio Networks. IEA/AIE (2) 2014: 48-57 - [c50]Xuan Zhang, B. John Oommen
, Ole-Christoffer Granmo, Lei Jiao:
Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms. IEA/AIE (1) 2014: 379-388 - [c49]Jaziar Radianti, Julie Dugdale, Jose J. Gonzalez, Ole-Christoffer Granmo:
Smartphone sensing platform for emergency management. ISCRAM 2014 - [c48]Jaziar Radianti
, Jose J. Gonzalez, Ole-Christoffer Granmo
:
Publish-subscribe smartphone sensing platform for the acute phase of a disaster: A framework for emergency management support. PerCom Workshops 2014: 285-290 - [i1]Jaziar Radianti, Julie Dugdale, Jose J. Gonzalez, Ole-Christoffer Granmo:
Smartphone sensing platform for emergency management. CoRR abs/1406.3848 (2014) - 2013
- [j18]Ole-Christoffer Granmo
, Sondre Glimsdal:
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game. Appl. Intell. 38(4): 479-488 (2013) - [j17]Xuan Zhang, Ole-Christoffer Granmo
, B. John Oommen
:
On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata. Appl. Intell. 39(4): 782-792 (2013) - [j16]Aleksander Stensby, B. John Oommen
, Ole-Christoffer Granmo
:
The Use of Weak estimators to Achieve Language Detection and Tracking in Multilingual Documents. Int. J. Pattern Recognit. Artif. Intell. 27(4) (2013) - [j15]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
:
Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns. IEEE Trans. Cybern. 43(3): 1118-1130 (2013) - [c47]Parvaneh Sarshar, Jaziar Radianti
, Ole-Christoffer Granmo
, Jose J. Gonzalez:
A Bayesian network model for evacuation time analysis during a ship fire. CIDUE 2013: 100-107 - [c46]Jaziar Radianti
, Ole-Christoffer Granmo
, Noureddine Bouhmala, Parvaneh Sarshar, Anis Yazidi, Jose J. Gonzalez:
Crowd Models for Emergency Evacuation: A Review Targeting Human-Centered Sensing. HICSS 2013: 156-165 - [c45]Neha Gupta, Ole-Christoffer Granmo
, Ashok K. Agrawala:
Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-armed Bandit Problems. ICMLA (1) 2013: 252-257 - [c44]Morten Goodwin Olsen, Ole-Christoffer Granmo
, Jaziar Radianti
, Parvaneh Sarshar, Sondre Glimsdal:
Ant Colony Optimisation for Planning Safe Escape Routes. IEA/AIE 2013: 53-62 - [c43]Ole-Christoffer Granmo
, Jaziar Radianti
, Morten Goodwin Olsen, Julie Dugdale, Parvaneh Sarshar, Sondre Glimsdal, Jose J. Gonzalez:
A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning. IEA/AIE 2013: 63-72 - [c42]Xuan Zhang, Ole-Christoffer Granmo
, B. John Oommen
, Lei Jiao:
On Using the Theory of Regular Functions to Prove the ε-Optimality of the Continuous Pursuit Learning Automaton. IEA/AIE 2013: 262-271 - [c41]Sondre Glimsdal, Ole-Christoffer Granmo:
Gaussian Process Based Optimistic Knapsack Sampling with Applications to Stochastic Resource Allocation. MAICS 2013: 43-50 - [c40]Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo
, B. John Oommen
:
Channel selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata approach. PIMRC 2013: 2362-2367 - 2012
- [j14]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
:
Service selection in stochastic environments: a learning-automaton based solution. Appl. Intell. 36(3): 617-637 (2012) - [j13]B. John Oommen
, Anis Yazidi, Ole-Christoffer Granmo
:
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators. J. Inf. Process. Syst. 8(2): 191-212 (2012) - [c39]Anis Yazidi, B. John Oommen
, Ole-Christoffer Granmo
:
A novel Stochastic Discretized Weak Estimator operating in non-stationary environments. ICNC 2012: 364-370 - [c38]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
:
A Stochastic Search on the Line-Based Solution to Discretized Estimation. IEA/AIE 2012: 764-773 - [c37]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
, Morten Goodwin Olsen:
A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem. IEA/AIE 2012: 774-783 - [c36]Xuan Zhang, Ole-Christoffer Granmo
, B. John Oommen
:
Discretized Bayesian Pursuit - A New Scheme for Reinforcement Learning. IEA/AIE 2012: 784-793 - [c35]Jose J. Gonzalez, Ole-Christoffer Granmo, Bjørn Erik Munkvold, Frank Y. Li, Julie Dugdale:
Multidisciplinary challenges in an integrated emergency management approach. ISCRAM 2012 - 2011
- [j12]Ole-Christoffer Granmo
, B. John Oommen
:
Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem. Eng. Appl. Artif. Intell. 24(7): 1238-1251 (2011) - [j11]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
, Martin Gerdes, Frank Reichert:
A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments. Wirel. Pers. Commun. 61(3): 543-566 (2011) - [c34]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
:
Tracking the Preferences of Users Using Weak Estimators. Australasian Conference on Artificial Intelligence 2011: 799-808 - [c33]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
:
On the analysis of a new Markov chain which has applications in AI and machine learning. CCECE 2011: 1553-1558 - [c32]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
:
A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes. HAIS (1) 2011: 11-21 - [c31]Vegard Haugland, Marius Kjølleberg, Svein-Erik Larsen, Ole-Christoffer Granmo
:
A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection. ICCCI (1) 2011: 72-81 - [c30]Neha Gupta, Ole-Christoffer Granmo
, Ashok K. Agrawala:
Thompson Sampling for Dynamic Multi-armed Bandits. ICMLA (1) 2011: 484-489 - [c29]Xuan Zhang, Ole-Christoffer Granmo
, B. John Oommen
:
The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata. IEA/AIE (2) 2011: 522-531 - [c28]Ole-Christoffer Granmo
, Sondre Glimsdal:
A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning. IEA/AIE (2) 2011: 532-541 - [c27]Xuan Zhang, B. John Oommen
, Ole-Christoffer Granmo
:
Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems. EANN/AIAI (2) 2011: 122-131 - [c26]Neha Gupta, Ole-Christoffer Granmo, Ashok K. Agrawala:
Successive Reduction of Arms in Multi-Armed Bandits. SGAI Conf. 2011: 181-194 - 2010
- [j10]Ole-Christoffer Granmo
, B. John Oommen
:
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem. Appl. Intell. 33(1): 3-20 (2010) - [j9]Noureddine Bouhmala, Ole-Christoffer Granmo
:
Combining finite learning automata with GSAT for the satisfiability problem. Eng. Appl. Artif. Intell. 23(5): 715-726 (2010) - [j8]Noureddine Bouhmala, Ole-Christoffer Granmo:
Stochastic Learning for SAT- Encoded Graph Coloring Problems. Int. J. Appl. Metaheuristic Comput. 1(3): 1-19 (2010) - [j7]Ole-Christoffer Granmo
:
Solving two-armed Bernoulli bandit problems using a Bayesian learning automaton. Int. J. Intell. Comput. Cybern. 3(2): 207-234 (2010) - [j6]Ole-Christoffer Granmo
, B. John Oommen
:
Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata. IEEE Trans. Computers 59(4): 545-560 (2010) - [c25]Thomas Norheim, Terje Brådland, Ole-Christoffer Granmo, B. John Oommen:
A Generic Solution to Multi-Armed Bernoulli Bandit Problems based on Random Sampling from Sibling Conjugate Priors. ICAART (1) 2010: 36-44 - [c24]Ole-Christoffer Granmo, Noureddine Bouhmala:
Enhancing Local-search based SAT Solvers with Learning Capability. ICAART (1) 2010: 515-521 - [c23]Ole-Christoffer Granmo
, Stian Berg:
Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters. IEA/AIE (3) 2010: 199-208 - [c22]Anis Yazidi, Ole-Christoffer Granmo
, B. John Oommen
:
A Learning Automata Based Solution to Service Selection in Stochastic Environments. IEA/AIE (3) 2010: 209-218 - [c21]Anis Yazidi, Ole-Christoffer Granmo
, Min Lin, Xifeng Wen, B. John Oommen
, Martin Gerdes, Frank Reichert:
Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns. PRICAI 2010: 327-338 - [c20]Aleksander Stensby, B. John Oommen
, Ole-Christoffer Granmo
:
Language Detection and Tracking in Multilingual Documents Using Weak Estimators. SSPR/SPR 2010: 600-609
2000 – 2009
- 2009
- [c19]Ole-Christoffer Granmo
, B. John Oommen
:
A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling. IEA/AIE 2009: 523-534 - [p1]Ole-Christoffer Granmo
, B. John Oommen
:
Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems. Intelligent Systems for Knowledge Management 2009: 1-30 - 2008
- [j5]B. John Oommen
, Sang-Woon Kim, M. T. Samuel, Ole-Christoffer Granmo
:
A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments. IEEE Trans. Syst. Man Cybern. Part B 38(2): 466-476 (2008) - [c18]Noureddine Bouhmala, Ole-Christoffer Granmo
:
Solving Graph Coloring Problems Using Learning Automata. EvoCOP 2008: 277-288 - [c17]Ole-Christoffer Granmo
:
A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems. ICMLA 2008: 23-30 - [c16]Ole-Christoffer Granmo
, B. John Oommen
:
A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling. IEA/AIE 2008: 347-358 - [c15]Ole-Christoffer Granmo:
The Bayesian Learning Automaton - Empirical Evaluation with Two-Armed Bernoulli Bandit Problems. SGAI Conf. 2008: 235-248 - 2007
- [j4]Ole-Christoffer Granmo, Noureddine Bouhmala:
Solving the Satisfiability Problem Using Finite Learning Automata. Int. J. Comput. Sci. Appl. 4(3): 15-29 (2007) - [j3]B. John Oommen
, Sudip Misra, Ole-Christoffer Granmo
:
Routing Bandwidth-Guaranteed Paths in MPLS Traffic Engineering: A Multiple Race Track Learning Approach. IEEE Trans. Computers 56(7): 959-976 (2007) - [j2]Ole-Christoffer Granmo
, B. John Oommen
, Svein Arild Myrer, Morten Goodwin Olsen:
Learning Automata-Based Solutions to the Nonlinear Fractional Knapsack Problem With Applications to Optimal Resource Allocation. IEEE Trans. Syst. Man Cybern. Part B 37(1): 166-175 (2007) - [c14]Ole-Christoffer Granmo, B. John Oommen:
On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems. Australian Conference on Artificial Intelligence 2007: 36-47 - [c13]B. John Oommen
, Ole-Christoffer Granmo
, Asle Pedersen
:
Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications. CIG 2007: 161-167 - [c12]B. John Oommen, Sang-Woon Kim, Mathew Samuel, Ole-Christoffer Granmo:
Stochastic Point Location in Non-stationary Environments and Its Applications. IEA/AIE 2007: 845-854 - 2006
- [j1]Viktor S. Wold Eide, Ole-Christoffer Granmo
, Frank Eliassen, Jørgen Andreas Michaelsen
:
Real-time video content analysis: QoS-aware application composition and parallel processing. ACM Trans. Multim. Comput. Commun. Appl. 2(2): 149-172 (2006) - [c11]B. John Oommen, Ole-Christoffer Granmo, Asle Pedersen:
Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games. Australian Conference on Artificial Intelligence 2006: 1252-1258 - [c10]Ole-Christoffer Granmo
, B. John Oommen
:
On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem. Intelligent Information Systems 2006: 263-272 - [c9]B. John Oommen
, Sudip Misra, Ole-Christoffer Granmo
:
A Stochastic Random-Races Algorithm for Routing in MPLS Traffic Engineering. INFOCOM 2006 - 2004
- [c8]Ole-Christoffer Granmo:
Parallel hypothesis driven video content analysis. SAC 2004: 642-648 - 2003
- [c7]Ole-Christoffer Granmo, Vladimir A. Oleshchuk, Mikael Snaprud:
Towards a Probabilistic Framework for Analogous Multi-Modal Human-Computer Interaction. HCI (4) 2003: 1407-1411 - [c6]Viktor S. Wold Eide, Frank Eliassen, Ole-Christoffer Granmo, Olav Lysne:
Supporting timeliness and accuracy in distributed real-time content-based video analysis. ACM Multimedia 2003: 21-32 - [c5]Ole-Christoffer Granmo, Frank Eliassen, Olav Lysne, Viktor S. Wold Eide:
Techniques for Parallel Execution of the Particle Filter. SCIA 2003: 983-990 - 2002
- [c4]Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, Ole-Christoffer Granmo
:
Real-Time Processing of Media Streams: A Case for Event-Based Interaction. ICDCS Workshops 2002: 555-562 - [c3]Viktor S. Wold Eide, Frank Eliassen, Ole-Christoffer Granmo, Olav Lysne:
Scalable Independent Multi-level Distribution in Multimedia Content Analysis. IDMS/PROMS 2002: 37-48 - [c2]Ole-Christoffer Granmo, Finn Verner Jensen:
Real-time Hypothesis Driven Feature Extraction on Parallel Processing Architectures. PDPTA 2002: 727-733 - [c1]Ole-Christoffer Granmo:
Automatic Resource-aware Construction of Media Indexing Applications for Distributed Processing Environments. PRIS 2002: 124-139
Coauthor Index
aka: Morten Goodwin Olsen
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
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Citation data
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load citations from opencitations.net
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OpenAlex data
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last updated on 2024-08-16 19:27 CEST by the dblp team
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