A comparison between FS-NEAT and FD-NEAT and an investigation of different initial topologies for a classification task with irrelevant features. - Evgenia Papavasileiou; Bart Jansen 001 (SSCI, 2016)

An investigation of topological choices in FS-NEAT and FD-NEAT on XOR-based problems of increased complexity. - Evgenia Papavasileiou; Bart Jansen 001 (GECCO (Companion), 2017)

The importance of the activation function in NeuroEvolution with FS-NEAT and FD-NEAT. - Evgenia Papavasileiou; Bart Jansen 001 (SSCI, 2017)

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. - Arnaud Arindra Adiyoso Setio; Alberto Traverso; Thomas de Bel; Moira S. N. Berens; Cas van den Bogaard; Piergiorgio Cerello; Hao Chen 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (Medical Image Anal., 2017)

Configuring the parameters of artificial neural networks using neuroevoiution and automatic algorithm configuration. - Evgenia Papavasileiou; Bart Jansen 001 (GECCO (Companion), 2018)

Towards a CAD System for Breast Cancer Based on Individual Microcalcifications? - Evgenia Papavasileiou; Redona Brahimetaj; Frederik Temmermans; Bruno Cornelis; Inneke Willekens; Johan de Mey; Bart Jansen 001 (HealthCom, 2018)

Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast Microcalcifications. - Redona Brahimetaj; Evgenia Papavasileiou; Frederik Temmermans; Bruno Cornelis; Inneke Willekens; Johan de Mey; Bart Jansen 001 (BNAIC/BENELEARN, 2019)

Behavior-based Speciation in Classification with NeuroEvolution. - Evgenia Papavasileiou; Jan Cornelis 001; Bart Jansen 001 (CEC, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

A Systematic Literature Review of the Successors of "NeuroEvolution of Augmenting Topologies". - Evgenia Papavasileiou; Jan Cornelis 001; Bart Jansen 001 (Evol. Comput., 2021)

Towards optimizing neural networks' connectivity and architecture simultaneously with feature selection. - Evgenia Papavasileiou; Jan Cornelis 001; Bart Jansen 001 (GECCO Companion, 2022)