87 citations · 112 across the 8 of their papers we have counts for
8 papers
MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB
Jeroen Van Der Donckt, Jonas Van Der Donckt, Michael Rademaker +1
Visualization plays an important role in analyzing and exploring time series data. To facilitate efficient visualization of large datasets, downsampling has emerged as a well-estab…
Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines
Jonas Van Der Donckt, Jeroen Van Der Donckt, Michael Rademaker +1
Time series visualization plays a crucial role in identifying patterns and extracting insights across various domains. However, as datasets continue to grow in size, visualizing th…
Perfectly predicting ICU length of stay: too good to be true
Sandeep Ramachandra, Gilles Vandewiele, David Vander Mijnsbrugge +2
A paper of Alsinglawi et al was recently accepted and published in Scientific Reports. In this paper, the authors aim to predict length of stay (LOS), discretized into either long…
Plotly-Resampler: Effective Visual Analytics for Large Time Series
Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost +1
Visual analytics is arguably the most important step in getting acquainted with your data. This is especially the case for time series, as this data type is hard to describe and ca…
Powershap: A Power-full Shapley Feature Selection Method
Jarne Verhaeghe, Jeroen Van Der Donckt, Femke Ongenae +1
Feature selection is a crucial step in developing robust and powerful machine learning models. Feature selection techniques can be divided into two categories: filter and wrapper m…
R-GCN: The R Could Stand for Random
Vic Degraeve, Gilles Vandewiele, Femke Ongenae +1
The inception of the Relational Graph Convolutional Network (R-GCN) marked a milestone in the Semantic Web domain as a widely cited method that generalises end-to-end hierarchical…
Overly Optimistic Prediction Results on Imbalanced Data: a Case Study of Flaws and Benefits when Applying Over-sampling
Gilles Vandewiele, Isabelle Dehaene, György Kovács +9
Information extracted from electrohysterography recordings could potentially prove to be an interesting additional source of information to estimate the risk on preterm birth. Rece…
Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning
Mijung Kim, Olivier Janssens, Ho-min Park +3
Glaucoma is a major eye disease, leading to vision loss in the absence of proper medical treatment. Current diagnosis of glaucoma is performed by ophthalmologists who are often ana…