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Found 6 papers, 3 papers with code
Time Associated Meta Learning for Clinical Prediction
We view time-associated disease prediction as classification tasks at multiple time points.
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 learning (ML) applications, as clinical text contains observations and plans not otherwise available for inference.
Self-explaining Hierarchical Model for Intraoperative Time Series
Towards this end, we propose a hierarchical model combining the strength of both attention and recurrent models for intraoperative time series.
Feedback control for distributed ledgers: An attack mitigation policy for DAG-based DLTs
In this paper we present a feedback approach to the design of an attack mitigation policy for DAG-based Distributed Ledgers.
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 world today.
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation
In some cases, the environment is not influenced by the actions of the RL agent, in which case the problem can be modeled as a contextual multi-armed bandit and lightweight myopic algorithms can be employed.
