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 | 256 | 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 | 91 | 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 | 86 | 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 | 82 | 2020 |
Factors Affecting Employee Performance-a Conceptual Study on the Drivers of Employee Engagement JK Sharma, S Shukla Indian Journal of Management, 2015 | 58 | 2015 |
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 | 37 | 2015 |
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 | 29 | 2023 |
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 | 24* | 2023 |
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 | 19 | 2018 |
Hydropower optimization using deep learning BV Matheussen, OC Granmo, J Sharma Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2019 | 14 | 2019 |
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 | 10 | 2023 |
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 | 10 | 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 | 9 | 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 | 7 | 2020 |
Tsetlin machine for solving contextual bandit problems R Seraj, J Sharma, OC Granmo Advances in Neural Information Processing Systems 35, 30194-30205, 2022 | 6 | 2022 |
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 |
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 |
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 | 4 | 2022 |