Evgenia Papavasileiou

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 11

Top Topics

Computed Tomography Images

Irrelevant Features

Computer Aided Detection

Top Venues

GECCO (Companion)

BNAIC/BENELEARN

Publications

Evgenia Papavasileiou, Jan Cornelis, Bart Jansen
Towards optimizing neural networks' connectivity and architecture simultaneously with feature selection. GECCO Companion (2022)
Evgenia Papavasileiou, Jan Cornelis, Bart Jansen
A Systematic Literature Review of the Successors of "NeuroEvolution of Augmenting Topologies". Evol. Comput. 29 (1) (2021)
Evgenia Papavasileiou, Jan Cornelis, Bart Jansen
Behavior-based Speciation in Classification with NeuroEvolution. CEC (2020)
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, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR (2020)
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)
Evgenia Papavasileiou, Redona Brahimetaj, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen
Towards a CAD System for Breast Cancer Based on Individual Microcalcifications? HealthCom (2018)
Evgenia Papavasileiou, Bart Jansen
Configuring the parameters of artificial neural networks using neuroevoiution and automatic algorithm configuration. GECCO (Companion) (2018)
Evgenia Papavasileiou, Bart Jansen
An investigation of topological choices in FS-NEAT and FD-NEAT on XOR-based problems of increased complexity. GECCO (Companion) (2017)
Evgenia Papavasileiou, Bart Jansen
The importance of the activation function in NeuroEvolution with FS-NEAT and FD-NEAT. SSCI (2017)
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sónora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, Mathias Prokop
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. Medical Image Anal. 42 (2017)
Evgenia Papavasileiou, Bart Jansen
A comparison between FS-NEAT and FD-NEAT and an investigation of different initial topologies for a classification task with irrelevant features. SSCI (2016)