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09/30/2022
Contrastive Corpus Attribution for Explaining Representations
Despite the widespread use of unsupervised models, very few methods are ...
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07/15/2022
Algorithms to estimate Shapley value feature attributions
Feature attributions based on the Shapley value are popular for explaini...
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04/30/2021
Explaining a Series of Models by Propagating Local Feature Attributions
Pipelines involving a series of several machine learning models (e.g., s...
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06/29/2020
True to the Model or True to the Data?
A variety of recent papers discuss the application of Shapley values, a ...
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02/12/2020
Deep Transfer Learning for Physiological Signals
Deep learning is increasingly common in healthcare, yet transfer learnin...
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11/27/2019
Explaining Models by Propagating Shapley Values of Local Components
In healthcare, making the best possible predictions with complex models ...
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05/11/2019
Explainable AI for Trees: From Local Explanations to Global Understanding
Tree-based machine learning models such as random forests, decision tree...
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01/23/2018
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data
Time series data constitutes a distinct and growing problem in machine l...
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01/23/2018
Hybrid Gradient Boosting Trees and NeuralNetworks for Forecasting Operating Room Data
Time series data constitutes a distinct and growing problem in machine l...
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12/02/2017
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning
We use a deep learning model trained only on a patient's blood oxygenati...
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12/24/2015
