2 papers
cs.LG2024
Semantically Rich Local Dataset Generation for Explainable AI in Genomics
Pedro Barbosa, Rosina Savisaar, Alcides Fonseca
Black box deep learning models trained on genomic sequences excel at predicting the outcomes of different gene regulatory mechanisms. Therefore, interpreting these models may provi…
cs.PL2022
Data types as a more ergonomic frontend for Grammar-Guided Genetic Programming
Guilherme Espada, Leon Ingelse, Paulo Canelas +2
Genetic Programming (GP) is an heuristic method that can be applied to many Machine Learning, Optimization and Engineering problems. In particular, it has been widely used in Softw…