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Evgenia Papavasileiou
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2020 – today
- 2022
- [c8]Evgenia Papavasileiou, Jan Cornelis, Bart Jansen:
Towards optimizing neural networks' connectivity and architecture simultaneously with feature selection. GECCO Companion 2022: 667-670 - 2021
- [j2]Evgenia Papavasileiou
, Jan Cornelis
A Systematic Literature Review of the Successors of "NeuroEvolution of Augmenting Topologies". Evol. Comput. 29(1): 1-73 (2021) - 2020
- [c7]Evgenia Papavasileiou
Behavior-based Speciation in Classification with NeuroEvolution. CEC 2020: 1-7 - [i1]Abel Díaz Berenguer
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020)
2010 – 2019
- 2019
- [c6]Redona Brahimetaj, Evgenia Papavasileiou, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen:
Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast Microcalcifications. BNAIC/BENELEARN 2019 - 2018
- [c5]Evgenia Papavasileiou
Configuring the parameters of artificial neural networks using neuroevoiution and automatic algorithm configuration. GECCO (Companion) 2018: 61-62 - [c4]Evgenia Papavasileiou
Towards a CAD System for Breast Cancer Based on Individual Microcalcifications? HealthCom 2018: 1-5 - 2017
- [j1]Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. Medical Image Anal. 42: 1-13 (2017) - [c3]Evgenia Papavasileiou
An investigation of topological choices in FS-NEAT and FD-NEAT on XOR-based problems of increased complexity. GECCO (Companion) 2017: 1431-1434 - [c2]Evgenia Papavasileiou
The importance of the activation function in NeuroEvolution with FS-NEAT and FD-NEAT. SSCI 2017: 1-7 - 2016
- [c1]Evgenia Papavasileiou
A comparison between FS-NEAT and FD-NEAT and an investigation of different initial topologies for a classification task with irrelevant features. SSCI 2016: 1-8
Coauthor Index
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