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2020 – today
- 2024
[c14]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- [c13]Karl Audun Kagnes Borgersen
, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma:
A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. RecSys 2024: 945-950 - 2023
- [j4]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) - [j3]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) - [c12]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 - [c11]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 - [c10]Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma:
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. NLDL 2023 - [c9]Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik:
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. SGAI Conf. 2023: 89-102 - [i10]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) - [i9]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) - [i8]Emilia Przybysz, Bimal Bhattarai, Cosimo Persia, Ana Ozaki, Ole-Christoffer Granmo, Jivitesh Sharma:
Verifying Properties of Tsetlin Machines. CoRR abs/2303.14464 (2023) - [i7]Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik:
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. CoRR abs/2308.16126 (2023) - [i6]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) - 2022
- [c8]Charul Giri, Jivitesh Sharma, Morten Goodwin:
Brain Tumour Segmentation on 3D MRI Using Attention V-Net. EANN 2022: 336-348 - [c7]Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo:
Tsetlin Machine for Solving Contextual Bandit Problems. NeurIPS 2022 - [i5]Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo:
Tsetlin Machine for Solving Contextual Bandit Problems. CoRR abs/2202.01914 (2022) - [i4]Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma:
A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems. CoRR abs/2212.10136 (2022) - [i3]Jivitesh Sharma, Ole-Christoffer Granmo, Lei Jiao:
On the Equivalence of the Weighted Tsetlin Machine and the Perceptron. CoRR abs/2212.13634 (2022) - 2021
- [j2]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) - [c6]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 - [i2]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) - 2020
- [c5]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
2010 – 2019
- 2019
- [j1]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) - [c4]Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo:
Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. ICMLA 2019: 882-888 - [c3]Bernt Viggo Matheussen, Ole-Christoffer Granmo, Jivitesh Sharma:
Hydropower Optimization Using Deep Learning. IEA/AIE 2019: 110-122 - [i1]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) - 2018
- [c2]Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin:
Deep CNN-ELM Hybrid Models for Fire Detection in Images. ICANN (3) 2018: 245-259 - 2017
- [c1]Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje:
Deep Convolutional Neural Networks for Fire Detection in Images. EANN 2017: 183-193
Coauthor Index
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