Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning.
CoRR, 2024
Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs).
CoRR, 2024
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
CoRR, 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
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Proceedings of the Conference on Lifelong Learning Agents, 2022
Rental NFT Protocol With Advanced Rewards Splitting.
Proceedings of the IEEE International Conference on Big Data, 2022
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
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Proceedings of the Second International Conference on AI-ML Systems, 2022
Disease Modeling with a Forest Deep Neural Network Utilizing NLP and a Virtualized Clinical Semantic Network.
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Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network.
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Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer.
CoRR, 2020
A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN).
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
A Big-Data Approach to Defining Breathing Signatures for Identifying Respiratory Disease.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Smart EHR - A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019