Allan de Lima earned his Bachelor's and Master's degrees in Electronic Engineering from Rio de Janeiro State University (UERJ, Brazil) and his PhD in Computer Science from the University of Limerick. He has experience in machine learning, electronic instrumentation and medical applications. He is specialised in Evolutionary Algorithms and is currently working on the AutoCircuit project.
Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis
View publication →Lexi2: lexicase selection with lexicographic parsimony pressure
View publication →Fuzzy pattern trees for classification problems using genetic programming
View publication →On fitting numerical features into probabilistic distributions to represent data for fuzzy pattern trees
View publication →On Switching Selection Methods to Increase Parsimony Pressure
View publication →