Jivitesh Sharma, PhD
Jivitesh Sharma, PhD
Senior AI Scientist@NILU | AI Researcher@UiA
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Drop Clause: Enhancing Performance, Interpretability and Robustness of the Tsetlin Machine
J Sharma, R Yadav, OC Granmo, L Jiao
arXiv preprint arXiv:2105.14506, 2022
Hydropower optimization using deep learning
BV Matheussen, OC Granmo, J Sharma
Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2019
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
From conception to creatıon quality functıon deployment in health sector
S Khare, J Sharma
Mathematics and Computers in Contemporary Science, 84-89, 2013
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
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
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
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
Tsetlin Machine Embedding: Representing Words Using Logical Expressions
B Bhattarai, OC Granmo, L Jiao, R Yadav, J Sharma
arXiv preprint arXiv:2301.00709, 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
Tsetlin Machine for Solving Contextual Bandit Problems
R Seraj, J Sharma, OC Granmo
Advances in Neural Information Processing Systems 35, 30194-30205, 2022
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
A novel sparse ensemble pruning algorithm using a new diversity measure
S Shukla, J Sharma, S Khare, S Kochkar, V Dharni
2015 IEEE International Conference on Computational Intelligence and …, 2015
Verifying Properties of Tsetlin Machines
E Przybysz, B Bhattarai, C Persia, A Ozaki, OC Granmo, J Sharma
arXiv preprint arXiv:2303.14464, 2023
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