
Bram Steenwinckel
@bsteenwin
Postdoc @UGent, @IDLabResearch | Research in data- & knowledge-driven AI for healthcare and predictive maintenance | Kaggle Competition Master | S & I
ID: 497943633
20-02-2012 14:41:23
147 Tweet
147 Followers
251 Following



Visit Strangelet 🌻 & Mathias De Brouwer at our imec ITF booth where we present our real-world evidence framework for disease follow-up powered by explainable & causal AI IDLab Department of Electronics and Information Systems Faculty of Engineering and Architecture UGent


.Bram Steenwinckel presenting pyRDF2Vec, a python implementation and extension of RDF2Vec to create a 2D feature matrix of a Knowledge Graph for downstream ML tasks #hybridAI Gilles Vandewiele IDLab imec

Superproud promotor!! Mathijs van Noort wins the best PhD symposium paper at ESWC Conferences Congrats 🎉🎉🎉 IDLab Ghent University Research imec Faculty of Engineering and Architecture UGent Pieter Bonte



We have added a reference to the new RDF2Vec book (link.springer.com/book/10.1007/9…) in the README of pyRDF2Vec today. The examples in there are very useful for new users. Heiko Paulheim Petar Ristoski Jan Portisch Bram Steenwinckel Femke Ongenae 👉 github.com/IBCNServices/p…

Our software package, pyRDF2Vec, was recently presented by Bram Steenwinckel at ESWC Conferences 2023. videolectures.net/eswc2023_steen…

🚨Thrilled to announce that we are hosting the #ISWC2024 Anomaly Detection for Dynamic Knowledge Graphs Challenge! predict-idlab.github.io/ADDKG Use ML/AI/Reasoning/... to detect anomalies in evolving kgs. Pieter Moens Dr. Romana Pernisch Mehwish Alam Pieter Bonte @svhoecke Femke Ongenae International Semantic Web Conference