Jivitesh Sharma

According to our database, Jivitesh Sharma authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Dataset for Adapting Recommender Systems to the Fashion Rental Economy.

Karl Audun Kagnes Borgersen, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Tsetlin Machine Embedding: Representing Words Using Logical Expressions.

Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records.

Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Anna Linda Ruthjersen, Jivitesh Sharma

BMC Medical Informatics Decis. Mak., December, 2023

Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital.

Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Bjørn Erik Munkvold, Anna Linda Ruthjersen, Jivitesh Sharma

BMC Medical Informatics Decis. Mak., December, 2023

Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning.

Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi

CoRR, 2023

Verifying Properties of Tsetlin Machines.

Emilia Przybysz, Bimal Bhattarai, Cosimo Persia, Ana Ozaki, Ole-Christoffer Granmo, Jivitesh Sharma

CoRR, 2023

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 Rørvik

Proceedings of the Artificial Intelligence XL, 2023

A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems.

Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine.

Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the Equivalence of the Weighted Tsetlin Machine and the Perceptron.

Jivitesh Sharma, Ole-Christoffer Granmo, Lei Jiao

CoRR, 2022

Tsetlin Machine for Solving Contextual Bandit Problems.

Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Brain Tumour Segmentation on 3D MRI Using Attention V-Net.

Charul Giri, Jivitesh Sharma, Morten Goodwin

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment.

Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin

IEEE Trans. Syst. Man Cybern. Syst., 2021

Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause.

Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao

CoRR, 2021

Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing.

Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

2020

Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network.

Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation.

Jivitesh Sharma, Charul Giri, Ole-Christoffer Granmo, Morten Goodwin

EURASIP J. Inf. Secur., 2019

Hydropower Optimization Using Deep Learning.

Bernt Viggo Matheussen, Ole-Christoffer Granmo, Jivitesh Sharma

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms.

Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Deep CNN-ELM Hybrid Models for Fire Detection in Images.

Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Deep Convolutional Neural Networks for Fire Detection in Images.

Jivitesh Sharma, Ole-Christoffer Granmo, Morten Goodwin, Jahn Thomas Fidje

Proceedings of the Engineering Applications of Neural Networks, 2017