Vandewiele, Gilles

1. Deep learning models for predicting RNA degradation via dual crowdsourcing
   2021/10/14 by Wayment-Steele, Hannah K., Kladwang, Wipapat, Watkins, Andrew M. +26 · 7 citations
   #Biological Physics (physics.bio-ph) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. REFORMS: Reporting Standards for Machine Learning Based Science
   2023/08/15 by Kapoor, Sayash, Cantrell, Emily, Peng, Kenny +16 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
3. R-GCN: The R Could Stand for Random
   2022/03/04 by Degraeve, Vic, Vandewiele, Gilles, Ongenae, Femke +1 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. pyRDF2Vec: A Python Implementation and Extension of RDF2Vec
   2022/05/04 by Vandewiele, Gilles, Steenwinckel, Bram, Agozzino, Terencio +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge\n Graphs
   2020/09/09 by Gilles Vandewiele, Vandewiele, Gilles, Bram Steenwinckel +13 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling