Deep convolutional neural networks for fire detection in images J Sharma, OC Granmo, M Goodwin, JT Fidje Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 230 | 2017 |
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network J Sharma, OC Granmo, M Goodwin INTERSPEECH 2020, 1186--1190, 2020 | 84 | 2020 |
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation J Sharma, C Giri, OC Granmo, M Goodwin EURASIP Journal on Information Security 2019 (1), 1-16, 2019 | 79 | 2019 |
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment J Sharma, PA Andersen, OC Granmo, M Goodwin IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1 - 19, 2020 | 73 | 2020 |
Analysis of statistical features for fault detection in ball bearing S Shukla, RN Yadav, J Sharma, S Khare 2015 IEEE international conference on computational intelligence and …, 2015 | 34 | 2015 |
Deep CNN-ELM hybrid models for fire detection in images J Sharma, OC Granmo, M Goodwin Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 20 | 2018 |
Drop clause: enhancing performance, robustness and pattern recognition capabilities of the Tsetlin machine J Sharma, R Yadav, OC Granmo, L Jiao Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13547 …, 2023 | 17* | 2023 |
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital GT Berge, OC Granmo, TO Tveit, BE Munkvold, AL Ruthjersen, J Sharma BMC Medical Informatics and Decision Making 23 (1), 5, 2023 | 14 | 2023 |
Hydropower optimization using deep learning BV Matheussen, OC Granmo, J Sharma Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2019 | 12 | 2019 |
Building concise logical patterns by constraining tsetlin machine clause size KD Abeyrathna, AAO Abouzeid, B Bhattarai, C Giri, S Glimsdal, ... arXiv preprint arXiv:2301.08190, 2023 | 8 | 2023 |
Tsetlin Machine Embedding: Representing Words Using Logical Expressions B Bhattarai, OC Granmo, L Jiao, R Yadav, J Sharma arXiv preprint arXiv:2301.00709, 2023 | 6 | 2023 |
Emergency analysis: Multitask learning with deep convolutional neural networks for fire emergency scene parsing J Sharma, OC Granmo, M Goodwin Advances and Trends in Artificial Intelligence. Artificial Intelligence …, 2021 | 6 | 2021 |
From conception to creatıon quality functıon deployment in health sector S Khare, J Sharma Mathematics and Computers in Contemporary Science, 84-89, 2013 | 6 | 2013 |
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems KA Borgersen, M Goodwin, J Sharma arXiv preprint arXiv:2212.10136, 2022 | 5 | 2022 |
Tsetlin Machine for Solving Contextual Bandit Problems R Seraj, J Sharma, OC Granmo Advances in Neural Information Processing Systems 35, 30194-30205, 2022 | 5 | 2022 |
On En-gineering Applications of Neural Networks. EANN 2017 J Sharma, OC Granmo, M Goodwin, JT Fidje Deep convolutional neural networks for fire detection in images, 183-193, 2017 | 5 | 2017 |
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records GT Berge, OC Granmo, TO Tveit, AL Ruthjersen, J Sharma BMC Medical Informatics and Decision Making 23 (1), 188, 2023 | 4 | 2023 |
Emergency detection with environment sound using deep convolutional neural networks J Sharma, OC Granmo, M Goodwin Proceedings of Fifth International Congress on Information and Communication …, 2020 | 4 | 2020 |
Verifying Properties of Tsetlin Machines E Przybysz, B Bhattarai, C Persia, A Ozaki, OC Granmo, J Sharma arXiv preprint arXiv:2303.14464, 2023 | 2 | 2023 |
Brain Tumour Segmentation on 3D MRI Using Attention V-Net C Giri, J Sharma, M Goodwin International Conference on Engineering Applications of Neural Networks, 336-348, 2022 | 2 | 2022 |