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
11 - 20 of 84
- Explainability in transformer models for functional genomics(2021)
Authors: Jim Clauwaert, Gerben Menschaert, Willem Waegeman
- Improving the performance of machine learning models for biotechnology : the quest for deus ex machina(2021)
Authors: Friederike Mey, Jim Clauwaert, Kirsten Van Huffel, Willem Waegeman, Marjan De Mey
- Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting(2021)
Authors: Jasmine Heyse, Florian Schattenberg, Peter Rubbens, Susann Müller, Willem Waegeman, Nico Boon, Ruben Props
- Aleatoric and epistemic uncertainty in machine learning : an introduction to concepts and methods(2021)
Authors: Eyke Huellermeier, Willem Waegeman
Pages: 457 - 506 - Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques : a large-scale benchmarking study(2021)
Authors: Thomas Mortier, Anneleen Wieme, Peter Vandamme, Willem Waegeman
Pages: 6157 - 6168 - Towards harmonization of DNA metabarcoding for monitoring marine macrobenthos : the effect of technical replicates and pooled DNA extractions on species detection(2021)
Authors: Laure Van den Bulcke, Annelies De Backer, Bart Ampe, Sara Maes, Jan Wittoeck, Willem Waegeman, Kris Hostens, Sofie Derycke
Pages: 233 - 247 - Predictive design of sigma factor-specific promoters(2020)
Authors: Maarten Van Brempt, Jim Clauwaert, Friederike Mey, Michiel Stock, Jo Maertens, Willem Waegeman, Marjan De Mey
- Investigating time series classification techniques for rapid pathogen identification with single-cell MALDI-TOF mass spectrum data(2020)Volume: 11908
Authors: Christina Papagiannopoulou, René Parchen, Willem Waegeman
Pages: 416 - 431 - Algebraic shortcuts for leave-one-out cross-validation in supervised network inference(2020)
Authors: Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets
Pages: 262 - 271 - Set-Valued Prediction in Multi-Class Classification(2019)Volume: 2491
Authors: Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman, Katrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, et al.
Number of pages: 1