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Researcher
Dries Van Daele
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Informatics Section (Division)
Member
From7 Jul 2011 → 31 Dec 2018
Projects
1 - 1 of 1
- Applications of probabilistic logicFrom7 Oct 2013 → 13 Jun 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 10
- OMEN: network-based driver gene identification using mutual exclusivity(2022)
Authors: Dries Van Daele, Luc De Raedt
Pages: 3245 - 3251 - Local Search for Constrained Graph Clustering in Biological Networks(2021)
Authors: Duy Hoang Tran, Dries Van Daele, Pieter Leyman, Patrick De Causmaecker
- An Automated Engineering Assistant: Learning Parsers for Technical Drawings.(2021)
Authors: Dries Van Daele, Nicholas Decleyre, Wannes Meert
Pages: 15195 - 15203 - Learning parsers for technical drawings(2020)
Authors: Dries Van Daele, Wannes Meert
Pages: 51 - 56Number of pages: 6 - Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen(2019)
Authors: Dries Van Daele
- Representing dynamic biological networks with multi-scale probabilistic models(2019)
Authors: Dries Van Daele, Luc De Raedt
- PageRank, ProPPR, and Stochastic Logic Programs(2016)
Authors: Dries Van Daele, Angelika Kimmig, Luc De Raedt, Jesse Davis, Jan Ramon
Pages: 168 - 180 - PageRank, ProPPR, and stochastic logic programs(2015)
Authors: Dries Van Daele, Angelika Kimmig, Luc De Raedt, Jesse Davis
Pages: 168 - 180 - PageRank, ProPPR, and stochastic logic programs(2015)
Authors: Dries Van Daele, Angelika Kimmig, Luc De Raedt
Pages: 168 - 180 - PageRank, ProPPR, and stochastic logic programs(2014)
Authors: Dries Van Daele, Angelika Kimmig, Luc De Raedt