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A systematic review of biologically-informed deep learning models for
  cancer: fundamental trends for encoding and interpreting oncology data

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

2 July 2022
Magdalena Wysocka
Oskar Wysocki
Marie Zufferey
Dónal Landers
André Freitas
    AI4CE
ArXivPDFHTML

Papers citing "A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data"

3 / 3 papers shown
Title
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
25
5
0
11 Mar 2024
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
228
2,231
0
24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
1