Deep Convolutional Neural Networks for Fire Detection in Images. - Jivitesh Sharma; Ole-Christoffer Granmo; Morten Goodwin; Jahn Thomas Fidje (EANN, 2017)

Deep CNN-ELM Hybrid Models for Fire Detection in Images. - Jivitesh Sharma; Ole-Christoffer Granmo; Morten Goodwin (ICANN (3), 2018)

Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. - Jivitesh Sharma; Bernt Viggo Matheussen; Sondre Glimsdal; Ole-Christoffer Granmo (ICMLA, 2019)

Hydropower Optimization Using Deep Learning. - Bernt Viggo Matheussen; Ole-Christoffer Granmo; Jivitesh Sharma (IEA/AIE, 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)

Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network. - Jivitesh Sharma; Ole-Christoffer Granmo; Morten Goodwin (INTERSPEECH, 2020)

Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing. - Jivitesh Sharma; Ole-Christoffer Granmo; Morten Goodwin (IEA/AIE (1), 2021)

Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause. - Jivitesh Sharma; Rohan Kumar Yadav; Ole-Christoffer Granmo; Lei Jiao 001 (CoRR, 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)

Brain Tumour Segmentation on 3D MRI Using Attention V-Net. - Charul Giri; Jivitesh Sharma; Morten Goodwin (EANN, 2022)

Tsetlin Machine for Solving Contextual Bandit Problems. - Raihan Seraj; Jivitesh Sharma; Ole-Christoffer Granmo (NeurIPS, 2022)

On the Equivalence of the Weighted Tsetlin Machine and the Perceptron. - Jivitesh Sharma; Ole-Christoffer Granmo; Lei Jiao 001 (CoRR, 2022)

Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. - Jivitesh Sharma; Rohan Kumar Yadav; Ole-Christoffer Granmo; Lei Jiao 001 (AAAI, 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 001; Rupsa Saha; Jivitesh Sharma; Svein Anders Tunheim; Xuan Zhang 007 (IJCAI, 2023)

A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems. - Karl Audun Borgersen; Morten Goodwin; Jivitesh Sharma (NLDL, 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 (SGAI Conf., 2023)

Verifying Properties of Tsetlin Machines. - Emilia Przybysz; Bimal Bhattarai; Cosimo Persia; Ana Ozaki; Ole-Christoffer Granmo; Jivitesh Sharma (CoRR, 2023)

Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning. - Mohamed-Bachir Belaid; Jivitesh Sharma; Lei Jiao 001; Ole-Christoffer Granmo; Per-Arne Andersen; Anis Yazidi (CoRR, 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., 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., 2023)

Tsetlin Machine Embedding: Representing Words Using Logical Expressions. - Bimal Bhattarai; Ole-Christoffer Granmo; Lei Jiao 001; Rohan Kumar Yadav; Jivitesh Sharma (EACL (Findings), 2024)

Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data. - Jivitesh Sharma; Stefan Jetschny; Martin Kapun; Mohamed-Bachir Belaid (ICMLA, 2024)

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 (ICMLA, 2024)

A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. - Karl Audun Kagnes Borgersen; Morten Goodwin; Morten Grundetjern; Jivitesh Sharma (RecSys, 2024)

Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning. - Mohamed-Bachir Belaid; Jivitesh Sharma; Lei Jiao 001; Ole-Christoffer Granmo; Per-Arne Andersen; Anis Yazidi (AAAI, 2025)