अनुसरण करें
Wannes Van den Bossche
Wannes Van den Bossche
kuleuven.be पर सत्यापित ईमेल
टाइटल
इन्होंने कहा
इन्होंने कहा
वर्ष
Detecting deviating data cells
PJ Rousseeuw, WVD Bossche
Technometrics 60 (2), 135-145, 2018
1402018
MacroPCA: An all-in-one PCA method allowing for missing values as well as cellwise and rowwise outliers
M Hubert, PJ Rousseeuw, W Van den Bossche
Technometrics 61 (4), 459-473, 2019
522019
cellWise: Analyzing data with cellwise outliers
J Raymaekers, P Rousseeuw, W Van den Bossche, M Hubert
CRAN, R package version 2 (0), 467, 2019
332019
Elastomer-based fastener development to facilitate rapid disassembly for consumer products
JR Peeters, P Vanegas, W Van den Bossche, T Devoldere, W Dewulf, ...
Journal of Cleaner Production 94, 177-186, 2015
222015
Pressure-sensitive fasteners for active disassembly
JR Peeters, W Van den Bossche, T Devoldere, P Vanegas, W Dewulf, ...
The International Journal of Advanced Manufacturing Technology 87, 1519-1529, 2016
112016
Proof of concept of an elastomer based fastener enabling rapid disassembly
W Van den Bossche, JR Peeters, T Devoldere, JR Duflou, W Dewulf
Procedia CIRP 15, 234-238, 2014
62014
Second generation of pressure sensitive fasteners for active disassembly
JR Peeters, W Van den Bossche, T Devoldere, W Dewulf, JR Duflou
Procedia CIRP 15, 228-233, 2014
52014
Data assimilation toolbox for Matlab
W Van den Bossche
Master’s thesis, KU Leuven, 2013
52013
Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination
PJ Rousseeuw, W Van den Bossche
Test 24, 473-477, 2015
32015
CellWise
J Raymaekers, P Rousseeuw, M Hubert, W Van den Bossche
CRAN; https://cran. r-project. org/web/packages/cellWise/index. html, 2019
22019
Detecting anomalous data cells
PJ Rousseeuw, W Van den Bossche
arXiv preprint arXiv:1601.07251, 2016
22016
MacroPCA for analysing high-dimensional and functional data
M Hubert, PJ Rousseeuw, W Van den Bossche
Book of Abstracts, 22, 2023
2023
MacroPCA: An all-in-one PCA method allowing for missing values as well as cellwise and rowwise outliers
P Rousseeuw, M Hubert, W Van den Bossche
CM Statistics 2018, Date: 2018/12/14-2018/12/16, Location: Pisa (Italy), 2018
2018
Detecting cellwise outliers in multivariate and high-dimensional data
W Van den Bossche
2018
MacroPCA: An all-in-one principal components method for data with missing values and cellwise and rowwise outliers
M Hubert, P Rousseeuw, W Van den Bossche
Workshop on Robust Statistics, Date: 2018/02/08-2018/02/10, Location …, 2018
2018
Robust PCA in the presence of outlying cells
W Van den Bossche, M Hubert, P Rousseeuw
CMStatistics 2016, Date: 2016/12/09-2016/12/11, Location: Seville, 2016
2016
Bachelor project with industrial relevance for large student groups
P Goethals, R Boonen, N Dehertoghe, W De Roeck, P Geenen, T Nobels, ...
Proceeding of the 41th SEFI annual conference 2013: Engineering Education …, 2013
2013
RobKSC: A robust method for clustering time profile data
J Heylen, W Van den Bossche, M Hubert, I Van Mechelen, E Ceulemans
Modeling variability in time profiles, 25, 0
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