Onderzoeksoutput

Onderzoeksoutput per jaar 2014 2017 2018 2019 2022

• 941 Citaties
• 5 h-index
• 8 Conference paper
• 8 Poster
• 4 Article
• 3 Meeting abstract (Book)
• 1 Meer
  • 1 PhD Thesis

Onderzoeksoutput per jaar

Onderzoeksoutput per jaar

Zoekresultaten

• 2022

  Towards optimizing neural networks' connectivity and architecture simultaneously with feature selection

  Papavasileiou, E., Cornelis, J. P. H. & Jansen, B., 19 jul 2022, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. blz. 667-670 4 blz.

  Onderzoeksoutput: Conference paper

  • Feature extraction 100%
  • Topology 87%
  • Neural networks 78%
  • Chemical activation 53%
  • Topography 22%
• 2021

  A Systematic Literature Review of the Successors of ‘NeuroEvolution of Augmenting Topologies’

  Papavasileiou, E., Cornelis, J. P. H. & Jansen, B., 1 mrt 2021, In: Evolutionary Computation. 29, 1, blz. 1-73 73 blz.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Neuroevolution 100%
  • Literature Review 70%
  • Topology 34%
  • Review 9%
  • Benchmarking 9%
  40 Citaten (Scopus)

  244 Downloads (Pure)

• Towards more efficient NeuroEvolution: Application on feature selection and classification problems

  Papavasileiou, E., 2021, Brussels.

  Onderzoeksoutput: PhD Thesis

  • Feature extraction 100%
  • Topology 87%
  • Complex networks 7%
  • Neural networks 6%
  • Chemical activation 6%
• 2020

  Behavior-based Speciation in Classification with NeuroEvolution

  Papavasileiou, E., Cornelis, J. P. H. & Jansen, B., jul 2020, 2020 IEEE World Congress on Computational Intelligence: 2020 IEEE Congress on Evolutionary Computation (CEC). blz. 1-7 7 blz. 9185720. (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings).

  Onderzoeksoutput: Conference paper

  • Topology 100%
  • Computational efficiency 47%
  • Chemical activation 44%
  • Neural networks 29%
  2 Citaten (Scopus)

• Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

  Berenguer, A. D., Sahli, H., Joukovsky, B., Kvasnytsia, M., Dirks, I., Alioscha-Perez, M., Deligiannis, N., Gonidakis, P., Sánchez, S. A., Brahimetaj, R., Papavasileiou, E., Chana, J. C-W., Li, F., Song, S., Yang, Y., Tilborghs, S., Willems, S., Eelbode, T., Bertels, J., Vandermeulen, D. & 20 anderen, Maes, F., Suetens, P., Fidon, L., Vercauteren, T., Robben, D., Brys, A., Smeets, D., Ilsen, B., Buls, N., Watté, N., Mey, J. D., Snoeckx, A., Parizel, P. M., Guiot, J., Deprez, L., Meunier, P., Gryspeerdt, S., Smet, K. D., Jansen, B. & Vandemeulebroucke, J., 2 dec 2020, In: ArXiv.org. 2020, 20 blz.

  Onderzoeksoutput: Article

  Bestand

  • Imaging techniques 100%
  • Convolutional neural networks 23%
  • Deep learning 23%
  • Labels 22%
  • Pipelines 19%
  53 Downloads (Pure)
• 2019

  Can NeuroEvolution Beat Back Propagation?

  Papavasileiou, E. & Jansen, B., 2019.

  Onderzoeksoutput: Poster

• Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast Microcalcifications

  Brahimetaj, R., Papavasileiou, E., Temmermans, F., Cornelis, B., Willekens, I., De Mey, J. & Jansen, B., 2019. 2 blz.

  Onderzoeksoutput: Poster

  • Feature extraction 100%
  • Tissue 55%
  • Scanning 49%
  • Imaging techniques 49%
  • Machine learning 47%

• The Potential of NeuroEvolution in Computer Aided Diagnosis Systems

  Papavasileiou, E. & Jansen, B., nov 2019.

  Onderzoeksoutput: Poster
• 2018

  Can Analysis of Individual Microcalcifications Lead to a CAD System for Breast Cancer?

  Papavasileiou, E., Brahimetaj, R., Temmermans, F., Cornelis, B., Willekens, I., De Mey, J. & Jansen, B., 2018. 1 blz.

  Onderzoeksoutput: Poster

• Configuring the Parameters of Artificial Neural Networks using NeuroEvolution and Automatic Algorithm Configuration

  Papavasileiou, E. & Jansen, B., 6 jul 2018, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. ACM, blz. 61-62 2 blz.

  Onderzoeksoutput: Conference paper

  Open Access

  • Neuroevolution 100%
  • Artificial Neural Network 61%
  • Evolutionary algorithms 44%
  • Configuration 37%
  • Tuning 37%

• ETROCAD: AN IMPROVED CAD SYSTEM FOR LUNG NODULES DETECTION

  Papavasileiou, E., Sóñora Mengana, A., Garcia Naranjo, J. C., Jansen, B. & Vandemeulebroucke, J., 30 nov 2018.

  Onderzoeksoutput: Poster

• Evaluation of data balancing techniques. Application to CAD of lung nodules using the LUNA16 framework

  Sóñora Mengana, A., Papavasileiou, E., Garcia Naranjo, J. C., Jansen, B. & Vandemeulebroucke, J., 1 okt 2018, In: Revista de Ingeniería Electrónica, Automática y Comunicaciones. 39, 3, blz. 57-67

  Onderzoeksoutput: Article › peer review

• Towards a CAD System for Breast Cancer Based on Individual Microcalcifications?

  Papavasileiou, E., Brahimetaj, R., Temmermans, F., Cornelis, B., Willekens, I., De Mey, J. & Jansen, B., 9 nov 2018, 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services, Healthcom 2018: Decision Support Systems for Oncology. IEEE, blz. 1-5 8531134

  Onderzoeksoutput: Conference paper

  • Calcinosis 100%
  • cancer 72%
  • Tissue 67%
  • Breast Neoplasms 51%
  • Imaging techniques 30%
  1 Citaat (Scopus)
• 2017

  A Comparison Between FS-NEAT and FD-NEAT and an Investigation of Different Initial Topologies for a Classification Task with Irrelevant Features

  Papavasileiou, E. & Jansen, B., 9 feb 2017, 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. IEEE, blz. 1-8 8 blz. 7850127

  Onderzoeksoutput: Conference paper

  • Neuroevolution 100%
  • Topology 55%
  • Artificial Neural Network 20%
  • Feature Selection 18%
  • Performance 16%
  6 Citaten (Scopus)

• An Investigation of Topological Choices in FS-NEAT and FD-NEAT on XOR-based Problems of Increased Complexity

  Papavasileiou, E. & Jansen, B., 2017, GECCO Student Workshop 2017. blz. 1431-1434

  Onderzoeksoutput: Conference paper

• An Investigation of Topological Choices in FS-NEAT and FD-NEAT on XOR-based Problems of Increased Complexity

  Papavasileiou, E. & Jansen, B., 15 jul 2017, blz. 1431-1434. 4 blz.

  Onderzoeksoutput: Poster

  • Neuroevolution 100%
  • Topology 34%
  • Feature Selection 21%
  • Artificial Neural Network 20%
  • Hypothesis Test 18%
  7 Citaten (Scopus)

• The importance of the activation function in NeuroEvolution with FS-NEAT and FD-NEAT

  Papavasileiou, E. & Jansen, B., 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI). blz. 1-7 7 blz.

  Onderzoeksoutput: Conference paper
  6 Citaten (Scopus)

• The Importance of Topology Initialization in FS-NEAT and FD-NEAT

  Papavasileiou, E. & Jansen, B., 2017.

  Onderzoeksoutput: Poster

  • Topology 100%
  • Feature extraction 68%
  • Neural networks 17%

• Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

  Adiyoso Setio, A. A., Traverso, A., de Bel, T., Berens, M., van den Bogaard, C., Cerello, P., Chen, H., Dou, Q., Fantacci, M. E., Geurts, B., van der Gugten, R., Heng, P. A., Jansen, B., de Kaste, M. M. J., Kotov, V., Lin, J. Y-H., Manders, J. T. M. C., Sóñora Mengana, A., Garcia Naranjo, J. C., Papavasileiou, E. & 12 anderen, Prokop, M., Saletta, M., Schaefer-Prokop, C. M., Scholten, E. T., Scholten, L., Snoeren, M. M., Lopez Torres, E., Vandemeulebroucke, J., Walasek, N., Zuidhof, G. C. A., van Ginneken, B. & Jacobs, C., dec 2017, In: Medical Image Analysis. 42, blz. 1-13 13 blz.

  Onderzoeksoutput: Article › peer review

  • Tomography 100%
  • Computer aided design 57%
  • Lung 55%
  • Thorax 48%
  • Databases 41%
  877 Citaten (Scopus)
• 2016

  A novel classification method of 3D breast microcalcifications in micro-CT images

  Papavasileiou, E., Temmermans, F., Willekens, I., Van De Casteele, E., De Mey, J., Hostens, J. & Jansen, B., 2016, Proceedings of the 14th Belgian National Day on Biomedical Engineering. blz. 57-57 1 blz.

  Onderzoeksoutput: Meeting abstract (Book)

  • Biopsy 100%
  • Tissue 64%

• Computer Aided Detection of Lung Nodules

  Papavasileiou, E., Alves Santinha, J. A., Sóñora Mengana, A., Garcia Naranjo, J. C., Jansen, B. & Vandemeulebroucke, J., 2016.

  Onderzoeksoutput: Poster
• 2015

  A neuroevolutionary approach for feature selection and classification on high dimensional breast cancer radiomics data

  Papavasileiou, E., Temmermans, F. & Jansen, B., mei 2015, 6ο Πανελλήνιο Συνέδριο Βιοϊατρικής Τεχνολογίας.

  Onderzoeksoutput: Meeting abstract (Book)

  • Tumors 100%
  • Feature extraction 74%
  • Biopsy 63%
  • Biomarkers 60%
  • Gene expression 53%

• Shape-based clustering & classification of breast microcalcifications in micro-CT images

  Papavasileiou, E., Temmermans, F., Jansen, B., Willekens, I., Van De Casteele, E., De Mey, J., Deklerck, R. & Hostens, J., 2015, The 6th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2014). Springer International Publishing, blz. 160-163 4 blz. (IFMBE Proceedings; vol. 45).

  Onderzoeksoutput: Conference paper

  • Tissue 100%
  • Biopsy 76%
  • Calcium 32%
  • Cells 28%
  • Labels 24%
  2 Citaten (Scopus)
• 2014

  Shape-based clustering and classification of breast microcalcifications in micro-CT images

  Papavasileiou, E., Temmermans, F. & Jansen, B., dec 2014, 9th Benelux Bioinformatics conference: Bioinformatics: Integrating data, teams and disciplines.

  Onderzoeksoutput: Meeting abstract (Book)

  • Biopsy 100%
  • Genomics 47%
  • Tissue 38%
  • Genes 29%
  • Labels 25%