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Using deep networks for scientific discovery in physiological signals
Tom Beer
, Bar Eini-Porat
, Sebastian Goodfellow
, Danny Eytan
, Uri Shalit
Medicine
Data and Decision Sciences
Research output
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Contribution to journal
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peer-review
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Keyphrases
Deep Network
100%
Physiological Signals
100%
ECG Signal
100%
Scientific Discovery
100%
Deep Neural Network
50%
Atrial Fibrillation
50%
Light Patterns
50%
Specific Task
50%
Eye Movements
50%
EEG Signals
50%
Hypothesis Space
50%
Class Activation Map
50%
Scientific Hypothesis
50%
Hand-engineered Features
50%
Network Hypothesis
50%
ECG Features
50%
Computer Science
Physiological Signal
100%
Scientific Discovery
100%
Deep Neural Network
100%
Interpretability
33%
Hypothesis Space
33%
Scientific Hypothesis
33%
Feature Map
33%