19 citations · 32 across the 5 of their papers we have counts for
7 papers
REFORMS: Reporting Standards for Machine Learning Based Science
Sayash Kapoor, Emily Cantrell, Kenny Peng +16
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and ge…
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…
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec
Gilles Vandewiele, Bram Steenwinckel, Terencio Agozzino +1
This paper introduces pyRDF2Vec, a Python software package that reimplements the well-known RDF2Vec algorithm along with several of its extensions. By making the algorithm availabl…
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…
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte +5
As KGs are symbolic constructs, specialized techniques have to be applied in order to make them compatible with data mining techniques. RDF2Vec is an unsupervised technique that ca…
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…