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Jivitesh Sharma

Jivitesh Sharma

Postdoctoral Research Fellow

Department of Information and Communication Technology >

 

+47 37 23 31 69

+47 462 17 967

Office:
N03031 ( Jon Lilletuns vei 9, Grimstad )

Scientific publications

  • Borgersen, Karl Audun Kagnes; Goodwin, Morten; Sharma, Jivitesh (2023). A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. Proceedings of the Northern Lights Deep Learning Workshop. doi:10.7557/18.6807.
  • Abeyrathna, Kuruge Darshana; Abouzeid, Ahmed Abdulrahem Othman; Bhattarai, Bimal; Giri, Charul; Glimsdal, Sondre; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Sharma, Jivitesh; Tunheim, Svein Anders; Zhang, Xuan (2023). Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. ISBN: 978-1-956792-03-4. AAAI Press. Chapter. s 3395 - 3403.
  • Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Ruthjersen, Anna Linda; Sharma, Jivitesh (2023). Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. BMC Medical Informatics and Decision Making. ISSN: 1472-6947. 23doi:10.1186/s12911-023-02271-8.
  • Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Munkvold, Bjørn Erik; Ruthjersen, Anna Linda; Sharma, Jivitesh (2023). Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital. BMC Medical Informatics and Decision Making. ISSN: 1472-6947. 23doi:10.1186/s12911-023-02101-x.
  • Giri, Charul; Sharma, Jivitesh; Goodwin, Morten (2022). Brain Tumour Segmentation on 3D MRI Using Attention V-Net. Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. ISBN: 978-3-031-08223-8. Springer Nature. Chapter. s 336 - 348.
  • Glimsdal, Sondre; Saha, Rupsa; Bhattarai, Bimal; Giri, Charul; Sharma, Jivitesh; Tunheim, Svein Anders; Yadav, Rohan Kumar (2022). Focused Negative Sampling for Increased Discriminative Power in Tsetlin Machines. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). ISBN: 978-1-6654-7116-9. IEEE conference proceedings. Chapter. s 73 - 80.
  • Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Transactions on Systems, Man & Cybernetics. Systems. ISSN: 2168-2216. 51 (12). s 7363 - 7381. doi:10.1109/TSMC.2020.2967936.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Emergency Detection with Environment Sound Using Deep Convolutional Neural Networks. Proceedings of Fifth International Congress on Information and Communication Technology. ISBN: 978-981-15-5858-0. Springer Nature. 14. s 144 - 154.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2020). Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network. Interspeech (USB). ISSN: 2308-457X. s 1186 - 1190. doi:10.21437/Interspeech.2020-1303.
  • Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. arXiv.org. ISSN: 2331-8422. doi:10.1109/tsmc.2020.2967936.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks. arXiv.org. ISSN: 2331-8422.
  • Sharma, Jivitesh; Matheussen, Bernt Viggo; Glimsdal, Sondre; Granmo, Ole-Christoffer (2019). Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). ISBN: 978-1-7281-4550-1. IEEE conference proceedings. chapter.
  • Matheussen, Bernt Viggo; Granmo, Ole-Christoffer; Sharma, Jivitesh (2019). Hydropower optimization using deep learning. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11606 LNAIs 110 - 122. doi:10.1007/978-3-030-22999-3_11.
  • Sharma, Jivitesh; Giri, Charul; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP Journal on Information Security. ISSN: 2510-523X. 2019 (1). doi:10.1186/s13635-019-0098-y.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (2018). Deep CNN-ELM Hybrid Models for Fire Detection in Images. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. LNCS 11141s 245 - 259. doi:10.1007/978-3-030-01424-7_25.
  • Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten; Fidje, Jahn Thomas (2017). Deep convolutional neural networks for fire detection in images. Communications in Computer and Information Science (CCIS). ISSN: 1865-0929. 744s 183 - 193. doi:10.1007/978-3-319-65172-9_16.
  • Przybysz, Emilia; Bhattarai, Bimal; Persia, Cosimo Damiano; Ozaki, Ana; Granmo, Ole-Christoffer; Sharma, Jivitesh (2023). Verifying Properties of Tsetlin Machines.
  • Borgersen, Karl Audun Kagnes; Goodwin, Morten; Sharma, Jivitesh (2023). Automating Tagging for Fashion Items: A User Study.

Research groups

Last changed: 21.06.2018 14:06