Researcher
Willem Waegeman
- Keywords:Machine Learning, Data Science
- Disciplines:Applied mathematics in specific fields, Other computer engineering, information technology and mathematical engineering not elsewhere classified, Modelling and simulation, Systems theory, modelling and identification, Bio-informatics
Affiliations
- Department of Data analysis and mathematical modelling (Department)
Member
From1 Jan 2018 → Today - Department of Mathematical Modelling, Statistics and Bio-informatics (Department)
Member
From1 Dec 2008 → 31 Dec 2017 - Department of Electromechanical, Systems and Metal Engineering (Department)
Member
From16 Aug 2004 → 30 Nov 2008
Projects
1 - 6 of 6
- New-to-nature Biological Sensors: Unlocking the full potential of biological sensors beyond natureFrom1 Oct 2022 → TodayFunding: FWO senior postdoctoral fellowship
- Novel neural networks for single-cell sequencing technologiesFrom1 Nov 2021 → TodayFunding: FWO fellowships
- Identification of adaptive mechanisms leading to reduced antibiotic susceptibility in bacterial biofilms using experimental evolution and machine learning approachesFrom1 Jan 2020 → TodayFunding: BOF - projects
- Interlocking synthetic biology, systems biology and artificial intelligence to develop a more efficient metabolic engineering workflow: a highly efficient biotechnological production platform for monoclonal chitooligosaccharides.From1 Jan 2019 → 31 Dec 2022Funding: FWO Strategic Basic Research Grant
- Synthetic biology and artificial intelligence, mutual learning to advance together and jointly drive industrial biotechnology - accelerating knowledge discovery and strain engineeringFrom1 Oct 2016 → 31 Jul 2021Funding: BOF - Doctoral projects
- Nieuwe applicaties in informatiebevraging, beeldverwerking en bio-informatica hebben geleid tot de ontwikkeling van nieuwe machine learning methoden om meerdere targets tegelijkertijd te voorspellen. Recent werden tal van nieuwe methoden ontwikkeld in verFrom1 Feb 2015 → 30 Nov 2019Funding: BOF - Doctoral projects
Publications
31 - 40 of 84
- Data-driven recipe completion using machine learning methods(2016)
Authors: Marlies De Clercq, Michiel Stock, Bernard De Baets, Willem Waegeman
Pages: 1 - 13 - Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models(2016)
Authors: Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman
Pages: 1370 - 1394 - On the Bayes-optimality of F-measure maximizers(2014)
Authors: Willem Waegeman, Krzysztof Dembczynski, Arkadiusz Jachnik, Weiwei Cheng, Eyke Hüllermeier
Pages: 3333 - 3388 - Identification of functionally related enzymes by learning-to-rank methods(2014)
Authors: Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
Pages: 1157 - 1169 - A community effort to assess and improve drug sensitivity prediction algorithms(2014)
Authors: James C Costello, Laura M Heiser, Elisabeth Georgii, Mehmet Gönen, Michael P Menden, Nicholas J Wang, Mukesh Bansal, Muhammad Ammad-ud-din, Petteri Hintsanen, Suleiman A Khan, et al.
Pages: 1202 - 1212 - Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat(2013)
Authors: Sofie Landschoot, Kris Audenaert, Willem Waegeman, Bernard De Baets, Geert Haesaert
Pages: 75 - 75 - Ordinal regression models for predicting deoxynivalenol in winter wheat(2013)
Authors: Sofie Landschoot, Willem Waegeman, Kris Audenaert, Geert Haesaert, Bernard De Baets
Pages: 1319 - 1329 - Exploration and prediction of interactions between methanotrophs and heterotrophs(2013)
Authors: Michiel Stock, Sven Hoefman, Frederiek-Maarten Kerckhof, Nico Boon, Paul De Vos, Bernard De Baets, Kim Heylen, Willem Waegeman
Pages: 1045 - 1054 - Efficient regularized least-squares algorithms for conditional ranking on relational data(2013)
Authors: Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
Pages: 321 - 356 - Influence of maize-wheat rotation systems on Fusarium head blight infection and deoxynivalenol content in wheat under low versus high disease pressure(2013)
Authors: Sofie Landschoot, Kris Audenaert, Willem Waegeman, Bernard De Baets, Geert Haesaert
Pages: 14 - 21