Biography
Michel van de Velden is an associate Professor of Statistics at the Econometric Institute of the ÃÀÅ®¸£ÀûµçÓ°ÔºÎçÒ¹. His main research interests are exploratory data analysis. In particular, dimension reduction and cluster analysis methods with a strong focus on data visualization. In addition, he is in involved in several supervised machine learning projects involving tree-based machine learning methods.
More information
Work
- Michel van de Velden, Alfonso Iodice D’Enza, Angelos Markos & Carlo Cavicchia (2026) - - Journal of Computational and Graphical Statistics - doi:
- Vanja Misuric-Ramljak & Michel Van De Velden (2026) - - Journal of Quantitative Analysis in Sports - doi: -
- Sabine Knapp, Michel van de Velden & Philip Hans Franses (2026) - - Marine Pollution Bulletin, 225 - doi: -
- Kohei Adachi & Michel van de Velden (2026) - - Behaviormetrika, 53 (1), 237-238 - doi: -
- Xiaogang Huang, Jun Jin, Dan Zhuang, Tiefeng Ma, Michel van de Velden & Shuangzhe Liu (2026) - - Knowledge-Based Systems, 331 - doi: -
- Rick Willemsen, Carlo Cavicchia, Wilco van den Heuvel & Michel van de Velden (2026) - - INFORMS Journal on Computing, 38 (2), 447-462 - doi: -
- Daniel J.W. Touw & Michel Van de Velden (2025) - - Expert Systems with Applications, 286 - doi: -
- Kohei Adachi & Michel van de Velden (2025) - - Behaviormetrika, 52 (2), 413-415 - doi: -
- Rick Willemsen, Carlo Cavicchia, Wilco van den Heuvel & Michel van de Velden (2025) - -
- Alfonso Iodice D’Enza, Angelos Markos, Michel van de Velden & Carlo Cavicchia (2025) - -
- Michel Velden (2011) - Computational Statistics (Journal) (Editor)
Activity: Editorial work › Academic - Michel Velden (2008) - Statistical Papers (Journal) (Editor)
Activity: Editorial work › Academic
EQI
- Start date approval
- July 2025
- End date approval
- July 2028
- Place
- ROTTERDAM
- Year
- 2025
- Course Code
- FEB11005
- Year
- 2025
- Course Code
- FEB11005X
- Year
- 2025
- Course Code
- FEM11152
