Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression
2023 · Computer Methods and Programs in Biomedicine · 39 citations
https://doi.org/10.1016/j.cmpb.2023.107719
J
Jesús Alcalá‐Fdez
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Jesús Alcalá‐Fdez is an academic researcher from Universidad de Granada. The author has contributed to research in topics: Fuzzy Logic and Control Systems & Data Mining Algorithms and Applications & Evolutionary Algorithms and Applications. The author has an h-index of 29, co-authored 75 publications.
ORCID: 0000-0002-6190-3575Papers by this author
worksOmics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity
2023 · Genes · 29 citations
https://doi.org/10.3390/genes14020248
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study
2024 · Artificial Intelligence in Medicine · 15 citations
https://doi.org/10.1016/j.artmed.2024.102962
Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy
2023 · Fuzzy Sets and Systems · 7 citations
https://doi.org/10.1016/j.fss.2023.03.014
Enhancing soft computing techniques to actively address imbalanced regression problems
2023 · Expert Systems with Applications · 6 citations
https://doi.org/10.1016/j.eswa.2023.121011
Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity
2023 · Computers in Biology and Medicine · 2 citations
https://doi.org/10.1016/j.compbiomed.2023.107085
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