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A review on human–AI interaction in machine learning and insights for medical applications
Objective: To provide a human–Artificial Intelligence (AI) interaction review for Machine
Learning (ML) applications to inform how to best combine both human domain expertise and …
Learning (ML) applications to inform how to best combine both human domain expertise and …
Learning interpretable concept-based models with human feedback
I Lage, F Doshi-Velez - ar**
R Kagawa, E Shinohara, T Imai, Y Kawazoe… - International Journal of …, 2019 - Elsevier
Objectives Electronic health record (EHR)-based phenoty** is an automated technique for
identifying patients diagnosed with a particular disease using EHR data. However, EHR …
identifying patients diagnosed with a particular disease using EHR data. However, EHR …
Trustworthy human computation: a survey
Human computation is an approach to solving problems that prove difficult using AI only,
and involves the cooperation of many humans. Because human computation requires close …
and involves the cooperation of many humans. Because human computation requires close …
Learning Human Proxy Functions to Optimize Machine Learning Systems for Sociotechnical Context
IL Lage - 2023 - search.proquest.com
Abstract Machine learning (ML) systems are increasingly becoming integrated components
of human decision making, but many models are developed without considering the …
of human decision making, but many models are developed without considering the …
[PDF][PDF] Towards a Safer and More Reliable Selective Classifier
X Chen - repository.tudelft.nl
Two years is a long and short period of time. It's long enough for me to acquire all the
knowledge I need to know to come up with this paper and get used to the life in a foreign …
knowledge I need to know to come up with this paper and get used to the life in a foreign …