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03/05/2023
Time Associated Meta Learning for Clinical Prediction
Rich Electronic Health Records (EHR), have created opportunities to impr...
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01/27/2023
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks
Learning to represent free text is a core task in many clinical machine ...
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10/10/2022
Self-explaining Hierarchical Model for Intraoperative Time Series
Major postoperative complications are devastating to surgical patients. ...
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03/23/2022
Evaluation of Non-Invasive Thermal Imaging for detection of Viability of Onchocerciasis worms
Onchocerciasis is causing blindness in over half a million people in the...
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07/19/2021
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
Data quality is a common problem in machine learning, especially in high...
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03/15/2021
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
Reinforcement learning (RL) algorithms aim to learn optimal decisions in...
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03/21/2019
Distributed Ledger Technology for IoT: Parasite Chain Attacks
Directed Acyclic Graph (DAG) based Distributed Ledgers can be useful in ...
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12/13/2018
IOTA-based Directed Acyclic Graphs without Orphans
Directed Acylic Graphs (DAGs) are emerging as an attractive alternative ...
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07/02/2018