TY  - CPAPER
AU  - Marín Díaz, Gabriel
AU  - Carrasco González, Ramón Alberto
AU  - Gómez González, Daniel
A2  - Pelebrín Borondo, Jorge
A2  - Arias Oliva, Mario
A2  - Murata, Kiyoshi
A2  - Lara Palma, Ana María
PY  - 2021
SN  - 978-84-09-28672-0
UR  - https://hdl.handle.net/20.500.14352/130453
AB  - Decisions based on Machine Learning (ML) algorithms are having an increasingly significant social impact; however, most of these systems are based on black box algorithms, models whose rules are not understandable to humans. On the other hand,...
LA  - eng
M2  - 205
KW  - Machine Learning
KW  - Interpretability
KW  - Deep Learning
KW  - Bias
KW  - Artificial Intelligence
TI  - Interpretability challenges in machine learning models
TY  - conference paper
ER  -