Jivitesh Sharma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Recommendation Systems

Exploration Exploitation

Convolutional Neural Networks

Top Venues

EURASIP J. Inf. Secur.

Publications

Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma
Tsetlin Machine Embedding: Representing Words Using Logical Expressions. EACL (Findings) (2024)
Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen, Jivitesh Sharma
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. SGAI Conf. (2023)
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
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. IJCAI (2023)
Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. NLDL (2023)
Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma, Tobias Aasmoe, Mari Leonhardsen, Gro Herredsvela Rørvik
CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric. CoRR (2023)
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma
Tsetlin Machine Embedding: Representing Words Using Logical Expressions. CoRR (2023)
Emilia Przybysz, Bimal Bhattarai, Cosimo Persia, Ana Ozaki, Ole-Christoffer Granmo, Jivitesh Sharma
Verifying Properties of Tsetlin Machines. CoRR (2023)
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
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size. CoRR (2023)
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning. CoRR (2023)
Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. AAAI (2023)
Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
Tsetlin Machine for Solving Contextual Bandit Problems. NeurIPS (2022)
Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo
Tsetlin Machine for Solving Contextual Bandit Problems. CoRR (2022)
Jivitesh Sharma, Ole-Christoffer Granmo, Lei Jiao
On the Equivalence of the Weighted Tsetlin Machine and the Perceptron. CoRR (2022)
Charul Giri, Jivitesh Sharma, Morten Goodwin
Brain Tumour Segmentation on 3D MRI Using Attention V-Net. EANN (2022)
Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma
A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems. CoRR (2022)
Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao
Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause. CoRR (2021)
Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. IEA/AIE (1) (2021)
Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Trans. Syst. Man Cybern. Syst. 51 (12) (2021)
Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. INTERSPEECH (2020)
Bernt Viggo Matheussen, Ole-Christoffer Granmo, Jivitesh Sharma
Hydropower Optimization Using Deep Learning. IEA/AIE (2019)
Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo
Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. ICMLA (2019)
Jivitesh Sharma, Charul Giri, Ole-Christoffer Granmo, Morten Goodwin
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation. EURASIP J. Inf. Secur. 2019 (2019)
Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. CoRR (2019)
Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin
Deep CNN-ELM Hybrid Models for Fire Detection in Images. ICANN (3) (2018)
Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje
Deep Convolutional Neural Networks for Fire Detection in Images. EANN (2017)