I am professor of machine learning for natural sciences at the Institute for Computing and Information Science (iCIS) of the Faculty of Sciences, Radboud University. From January 2015 I am Director of Education for the Computer Science and Information Science curricula at Radboud University Nijmegen.
My current research concerns machine learning, in particular complex networks analysis, clustering and feature selection. I am interested in the study and development of effective methods, as well as their application to real-life problems in various domains, notably bio-medical sciences. Recently I co-organised the Lorentz Workshop on Clusters, Games and Axioms. 22-26 June 2015.
See also my Google Scholar profile.
M. Ghafoorian, N. Karssemeijer, T. Heskes, I.W.M. van Uden, F.-E. de Leeuw, E. Marchiori, B. van Ginneken, B. Platel.
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation.
IEEE International Symposium on Biomedical Imaging, 2016.
S. Picek, E. Marchiori, L. Batina and D. Jakobovic. Combining Evolutionary Computation and Algebraic Constructions to find Cryptography-relevant Boolean Functions.
13th International Conference on Parallel Problem Solving from Nature (PPSN XIII). Springer, LNCS 8672, pp. 822-831, 2014.
T. van Laarhoven, S. Nabuurs and E. Marchiori.
Gaussian interaction profile kernels for predicting drug-target interaction. Bioinformatics, Vol. 27, Issue 21, pp. 3036-3043, 2011 (paper and code available here).
P. Jancura and E. Marchiori.
A survey on evolutionary analysis in PPI networks. Protein Interaction / Book 2. InTech - Open Access Publisher. extended version, 2011.
D. Mavroedis and E. Marchiori.
A Novel Stability based Feature Selection Framework for k-means Clustering.
Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases (ECML PKDD), pp. 421-436, Springer-Verlag, 2011.
P. Jancura, E. Mavridou, B. Pontes and E. Marchiori.
Describing the orthology signal in a PPI network at a functional, complex level. Proceedings of the 7th International Symposium on Bioinformatics Research and Applications (ISBRA). pp. 209-226, Springer-Verlag, 2011.
M. Hinne and E. Marchiori.
Cutting Graphs Using Competing Ant Colonies and an Edge Clustering Heuristic.
11th European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP), LNCS 6622, pp. 60-71, Springer-Verlag, 2011.
J. Wang, Y. Li, E. Marchiori and C. Wang.
Iterated Large-margin Discriminant Analysis for
Feature Dimensionality Reduction in Medical Image Retrieval. International Journal of Biomedical Engineering and Technology, Vol. 7, No.2, pp. 116 - 134, 2011.
T. Dijkstra, E. Tsivtsivadze, E. Marchiori, T. Heskes (editors).
Pattern Recognition in Bioinformatics - 5th IAPR International Conference, PRIB 2010.
Proceedings,LNCS 6282, Springer, 2010.
J.H. Moore, J. Clegg, E. Marchiori, M. Ritchie, S. Smith (editors).
Artificial Evolution Methods in the Biological and Biomedical Sciences. Special Issue of the Journal of Artificial Evolution and Applications. 2009.
G.R. Raidl, S. Cagnoni, J. Branke, D.W. Corne, R. Drechsler,Y. Jin, C.G. Johnson, P. Machado, E. Marchiori, F. Rothlauf, G.D. Smith, G. Squillero Editors. Applications of Evolutionary Computing, LNCS, Vol. 3005, Springer-Verlag, 2004.
F. Divina, M. Keijzer, E. Marchiori. Non-Universal Suffrage Selection Operator Favor Population Diversity in Genetic Algorithms. GECCO 2003, Genetic and Evolutionary Computation Conference, LNCS 2724, pp. 1571-1573. Springer, 2003.
S. Cagnoni, J. Cardalda, D.W. Corne, J. Gottlieb, A. Guillot, E. Hart, E. Marchiori, J.A. Meyer,M. Middendorf, G.R. Raidl, Editors. Applications of Evolutionary Computing, LNCS n. 2611, Springer-Verlag, 2003.
F. Divina, M. Keijzer, E. Marchiori. Non-Universal Suffrage Selection Operators Favor Population Diversity
in Genetic Algorithms. Proceedings of Annual Machine Learning Conference of Belgium and The Netherlands (Benelearn2002), 23-30, 2002.
E. Marchiori, M. Marchiori, J.N. Kok.
A Novel Search Technique for Solving Over-Constrained Problems. International Journal on Artificial Intelligence Tools (IJAIT), World Scientific,
Vol.6, No.4, pp. 587-611, 1997.
Combining Constraint Processing and Genetic Algorithms
for Constraint Satisfaction Problems. 7th International Conference on Genetic Algorithms
ICGA97), pp.330-337, 1997.
L. Colussi, E. Marchiori and M. Marchiori.
Combining Logic and Control to Characterize Global Invariants
of Prolog Programs. ICLP W2 Post-Conference Workshop on Verification and Analysis of Logic Languages,
F.S. de Boer and M. Gabbrielli eds., Vrije
Universiteit Press, Amsterdam, pp. 1-14, 1994.