Blar i AURA på forfatter "Sharma, Jivitesh"
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Advances in Deep Learning Towards Fire Emergency Application : Novel Architectures, Techniques and Applications of Neural Networks
Sharma, Jivitesh (Doctoral Dissertations at the University of Agder; no. 308, Doctoral thesis, 2020)Deep Learning has been successfully used in various applications, and recently, there has been an increasing interest in applying deep learning in emergency management. However, there are still many significant challenges ... -
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
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 (Academic article, 2023)Tsetlin machine (TM) is a logic-based machine learning approach with the crucial advantages of being transparent and hardware-friendly. While TMs match or surpass deep learning accuracy for an increasing number of applications, ... -
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Ruthjersen, Anna Linda; Sharma, Jivitesh (Peer reviewed; Journal article, 2023)Background Data mining of electronic health records (EHRs) has a huge potential for improving clinical decision support and to help healthcare deliver precision medicine. Unfortunately, the rule-based and machine learning-based ... -
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (Journal article; Peer reviewed, 2020) -
Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network
Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2020)In this paper, we propose a model for the Environment Sound Classification Task (ESC) that consists of multiple feature channels given as input to a Deep Convolutional Neural Network (CNN) with Attention mechanism. The ... -
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
Berge, Geir Thore; Granmo, Ole- Christoffer; Tveit, Tor Oddbjørn; Munkvold, Bjørn Erik; Ruthjersen, Anna Linda; Sharma, Jivitesh (Journal article, 2023)Background Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate important ... -
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
Sharma, Jivitesh; Giri, Charul; Granmo, Ole-Christoffer; Goodwin, Morten (Journal article; Peer reviewed, 2019)Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works ... -
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
Sharma, Jivitesh; Giri, Charul; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2019)Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works ... -
Smooth and Consistent Video Anonymization Using Triangular Inpainting and Optical Flow
Altalab, Elian; Weldehawariat, Teklemariam (Master thesis, 2022)Surveillance cameras have been deployed extensively in big cities, such as London and Shanghai. To protect people’s privacy and avoid fully exposed, it is necessary to remove sensitive facial information in the surveillance ... -
Smooth and Consistent Video Anonymization Using Triangular Inpainting and Optical Flow
Altalab, Elian; Weldehawariat, Teklemariam (Master thesis, 2022)Surveillance cameras have been deployed extensively in big cities, such as London and Shanghai. To protect people’s privacy and avoid fully exposed, it is necessary to remove sensitive facial information in the surveillance ...