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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
Morten Goodwin
aka: Morten Goodwin Olsen
aka: Morten Goodwin Olsen
[j57] [j56] [j53] [j52] [c126] [c125] [i44] [j45] [j44] [c121] [c120] [c118] [c114] [i40] [i39] [i38] [i37] [j42] [j41] [j40] [j39] [j38] [c112] [c111] [c110] [c108] [c106] [c105] [c104] [c101] [c100] [i33] [i32] [j37] [j36] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c88] [i26] [i25] [i24] [i23] [i21] [i20] [j34] [j33] [c87] [c86] [c84] [c80] [c79] [c78] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [c76] [c75] [c74] [c72] [c71] [i10] [i8] [i7] [i6] [c70] [c69] [c68] [c66] [c65] [c64] [i2] [c62] [c61] [c60] [j25] [j24] [j19] [c53] [c44] [c43] [c37] [j2]
[c129] [i56] [i55] [j53] [j51] [j48] [j47] [c128] [c127] [c124] [i54] [i53] [i52] [i47] [i46] [i45] [j46] [j44] [c119] [c118] [c116] [c115] [i36] [j39] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [i35] [i32] [i31] [i30] [i29] [i27] [j35] [i21] [i20] [i19] [j34] [c87] [i17] [i15] [i7] [j28] [j27] [j22] [c51] [c50] [c42] [c40]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
