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
21 - 30 of 84
- Randomized lasso links microbial taxa with aquatic functional groups inferred from flow cytometry(2019)
Authors: Peter Rubbens, Marian L Schmidt, Ruben Props, Bopaiah A Biddanda, Nico Boon, Willem Waegeman, Vincent J Denef
- Multi-target prediction : a unifying view on problems and methods(2019)
Authors: Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier
Pages: 293 - 324 - DeepRibo : a neural network for precise gene annotation of prokaryotes by combining ribosome profiling signal and binding site patterns(2019)
Authors: Jim Clauwaert, Gerben Menschaert, Willem Waegeman
- Coculturing bacteria leads to reduced phenotypic heterogeneities(2019)
Authors: Jasmine Heyse, Benjamin Buysschaert, Ruben Props, Peter Rubbens, Andre Skirtach, Willem Waegeman, Nico Boon
- Terrestrial evaporation response to modes of climate variability(2018)
Authors: Brecht Martens, Willem Waegeman, Wouter A Dorigo, Niko Verhoest, Diego Miralles
- A comparative study of pairwise learning methods based on kernel ridge regression(2018)
Authors: Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
Pages: 2245 - 2283 - Potentials and limitations of existing forecasting models for Alternaria on potatoes : challenges for model improvement(2017)
Authors: Sofie Landschoot, Jolien De Reu, Kris Audenaert, Pieter Vanhaverbeke, Geert Haesaert, Bernard De Baets, Willem Waegeman
Pages: 61 - 76 - Linear filtering reveals false negatives in species interaction data(2017)
Authors: Michiel Stock, Timothée Poisot, Willem Waegeman, Bernard De Baets
- The use of shallow convolutional neural networks in predicting promotor strength in Eschericha coli(2017)
Authors: Jim Clauwaert, Michiel Stock, Marjan De Mey, Willem Waegeman
Number of pages: 1 - miSTAR : miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure(2017)
Authors: Gert Van Peer, Ayla De Paepe, Michiel Stock, Jasper Anckaert, Pieter-Jan Volders, Jo Vandesompele, Bernard De Baets, Willem Waegeman