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2020 – today
- 2023
[j47]Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Bjørn Erik Munkvold, A. L. Ruthjersen, J. Sharma:
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. BMC Medical Informatics Decis. Mak. 23(1): 5 (2023)- [c120]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 - [i45]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) - [i44]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) - [i43]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) - 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) - [c119]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 - [c118]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG 2022: 361-368 - [c117]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 - [c116]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 - [c115]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 - [c114]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification. LREC 2022: 3761-3770 - [c113]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment. LREC 2022: 4894-4903 - [c112]Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo:
Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input. NAIS 2022: 3-15 - [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) - [c111]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. AAAI 2021: 14203-14212 - [c110]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. BlackboxNLP@EMNLP 2021: 265-274 - [c109]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 - [c108]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao:
A Tsetlin Machine Framework for Universal Outlier and Novelty Detection. ICAART (Revised Selected Papers) 2021: 250-268 - [c107]Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Interpretability in Word Sense Disambiguation using Tsetlin Machine. ICAART (2) 2021: 402-409 - [c106]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 - [c105]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 - [c104]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. ICMLT 2021: 65-73 - [c103]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 - [c102]Christian D. Blakely, Ole-Christoffer Granmo:
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines. IEA/AIE (1) 2021: 158-172 - [c101]Saeed Rahimi Gorji, Ole-Christoffer Granmo, Marco A. Wiering:
Explainable Reinforcement Learning with the Tsetlin Machine. IEA/AIE (1) 2021: 173-187 - [c100]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. 2021: 44-57 - [c99]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) - [c98]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 - [c97]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Integer Weighted Regression Tsetlin Machines. IEA/AIE 2020: 686-694 - [c96]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 - [c95]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP 2020: 127-138 - [c94]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 - [c93]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) 2020: 169-180 - [c92]Rupsa Saha, Ole-Christoffer Granmo, Morten Goodwin:
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines. SGAI Conf. 2020: 67-78 - [c91]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. 2020: 94-107 - [c90]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 - [c89]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines. SSCI 2020: 662-669 - [c88]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 - [c87]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) - [c86]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 - [c85]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 - [c84]Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo:
Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. ICMLA 2019: 882-888 - [c83]Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo:
An Iterative Information Retrieval Approach from Social Media in Crisis Situations. ICT-DM 2019: 1-8 - [c82]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 - [c81]Sondre Glimsdal, Ole-Christoffer Granmo:
Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation. IEA/AIE 2019: 71-78 - [c80]Bernt Viggo Matheussen, Ole-Christoffer Granmo, Jivitesh Sharma:
Hydropower Optimization Using Deep Learning. IEA/AIE 2019: 110-122 - [c79]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 - [c78]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards Model-Based Reinforcement Learning for Industry-Near Environments. SGAI Conf. 2019: 36-49 - [c77]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) - [c76]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 - [c75]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 - [c74]Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin:
Deep CNN-ELM Hybrid Models for Fire Detection in Images. ICANN (3) 2018: 245-259 - [c73]Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
A Novel Tsetlin Automata Scheme to Forecast Dengue Outbreaks in the Philippines. ICTAI 2018: 680-685 - [c72]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 - [c71]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 - [c70]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) - [c69]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 - [c68]Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje:
Deep Convolutional Neural Networks for Fire Detection in Images. EANN 2017: 183-193 - [c67]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 - [c66]