no code implementations • 15 Aug 2023 • Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
Machine learning (ML) methods are proliferating in scientific research.
1 code implementation • 10 Nov 2022 • Sandeep Ramachandra, Gilles Vandewiele, David Vander Mijnsbrugge, Femke Ongenae, Sofie Van Hoecke
A paper of Alsinglawi et al was recently accepted and published in Scientific Reports.
1 code implementation • 15 Jul 2022 • Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michael Rademaker, Gilles Vandewiele, Sofie Van Hoecke
We show that, for the sleep stage scoring task, the expressiveness of an engineered feature vector is on par with the internally learned representations of deep learning models.
Ranked #1 on Multimodal Sleep Stage Detection on Sleep-EDF-SC
Automatic Sleep Stage Classification BIG-bench Machine Learning +2
1 code implementation • 4 May 2022 • Gilles Vandewiele, Bram Steenwinckel, Terencio Agozzino, Femke Ongenae
This paper introduces pyRDF2Vec, a Python software package that reimplements the well-known RDF2Vec algorithm along with several of its extensions.
1 code implementation • 4 Mar 2022 • Vic Degraeve, Gilles Vandewiele, Femke Ongenae, Sofie Van Hoecke
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 representation learning to Knowledge Graphs (KGs).
Ranked #1 on Node Classification on MUTAG
1 code implementation • 14 Oct 2021 • Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, Anthony Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Eterna Participants, Rhiju Das
Furthermore, these models generalized to blindly predicting orthogonal degradation data on much longer mRNA molecules (504-1588 nucleotides) with improved accuracy compared to previously published models.
1 code implementation • 9 Sep 2020 • Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae
As KGs are symbolic constructs, specialized techniques have to be applied in order to make them compatible with data mining techniques.
2 code implementations • 15 Jan 2020 • Gilles Vandewiele, Isabelle Dehaene, György Kovács, Lucas Sterckx, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester
Information extracted from electrohysterography recordings could potentially prove to be an interesting additional source of information to estimate the risk on preterm birth.
1 code implementation • 13 Sep 2019 • Gilles Vandewiele, Femke Ongenae, Filip De Turck
It has been shown that classifiers are able to achieve state-of-the-art results on a plethora of datasets by taking as input distances from the input time series to different discriminative shapelets.
Ranked #3 on Outlier Detection on ECG5000
1 code implementation • International Workshop on Semantics-Powered Data Mining and Analytics 2019 • Gilles Vandewiele, Bram Steenwinckel, Femke Ongenae, Filip De Turck
Deep-learning based techniques are increasingly being used for different machine learning tasks on knowledge graphs.
Ranked #3 on Node Classification on BGS
1 code implementation • 17 Nov 2016 • Gilles Vandewiele, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke
The results show that GENESIM achieves a better predictive performance on most of these data sets than decision tree induction techniques and a predictive performance in the same order of magnitude as the ensemble techniques.