Jivitesh Sharma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
10
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning. | Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi |
| 2025 | ICTAI | Physics-Informed Deep Learning for Wind Downscaling over Oslo. | Jivitesh Sharma, Islen Vallejo, Rune var degrd, Thanh Le, Amir Taherkordi, Frank Eliassen |
| 2024 | EACL | Tsetlin Machine Embedding: Representing Words Using Logical Expressions. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma |
| 2024 | ICMLA | Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data. | Jivitesh Sharma, Stefan Jetschny, Martin Kapun, Mohamed-Bachir Belaid |
| 2024 | ICMLA | Deep Neural Networks for Comprehensive Environmental Noise Estimation in European Cities. | Jivitesh Sharma, Stefan Jetschny, Miquel S. Maza, Nuria B. Guardia, Eulalia Peris, Jaume F. Esteve, Mohamed B. Belaid |
| 2024 | RecSys | A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. | Karl Audun Kagnes Borgersen, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma |
| 2023 | AAAI | Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. | Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao |
| 2023 | IJCAI | Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. | 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 |
| 2023 | SGAI | CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. | Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rrvik |
| 2022 | EANN | Brain Tumour Segmentation on 3D MRI Using Attention V-Net. | Charul Giri, Jivitesh Sharma, Morten Goodwin |
| 2020 | Interspeech | Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. | Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin |
| 2019 | ICMLA | Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. | Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo |
| 2018 | ICANN | Deep CNN-ELM Hybrid Models for Fire Detection in Images. | Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin |
| 2017 | EANN | Deep Convolutional Neural Networks for Fire Detection in Images. | Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje |