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Onderzoeker
Willem Waegeman
Profiel
Projecten
Publicaties
Activiteiten
Prijzen & Erkenningen
210
Resultaten
2025
Assessment of uncertainty quantification in universal differential equations
Nina Schmid
David Fernandes del Pozo
Willem Waegeman
Jan Hasenauer
A1
Artikel in een tijdschrift
in
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
2025
Machine learning reveals novel compound for the improved production of chitooligosaccharides in Escherichia coli
Friederike Mey
Gaetan De Waele
Wouter Demeester
Chiara Guidi
Dries Duchi
Tomek Diederen
Hanne Kochuyt
Kirsten Van Huffel
Nicola Zamboni
Willem Waegeman
et al.
A1
Artikel in een tijdschrift
in
NEW BIOTECHNOLOGY
2025
Pre-trained Maldi Transformers improve MALDI-TOF MS-based prediction
Gaetan De Waele
Gerben Menschaert
Peter Vandamme
Willem Waegeman
A1
Artikel in een tijdschrift
in
COMPUTERS IN BIOLOGY AND MEDICINE
2025
2024
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
Nicolas Dewolf
Bernard De Baets
Willem Waegeman
Proefschrift
2024
A comparison of embedding aggregation strategies in drug-target interaction prediction
Dimitrios Iliadis
Bernard De Baets
Tapio Pahikkala
Willem Waegeman
A1
Artikel in een tijdschrift
in
BMC BIOINFORMATICS
2024
A framework for tracing timber following the Ukraine invasion
Thomas Mortier
Jakub Truszkowski
Marigold Norman
Markus Boner
Bogdan Buliga
Caspar Chater
Henry Jennings
Jade Saunders
Rosie Sibley
Alexandre Antonelli
et al.
A1
Artikel in een tijdschrift
in
NATURE PLANTS
2024
An antimicrobial drug recommender system using MALDI-TOF MS and dual-branch neural networks
Gaetan De Waele
Willem Waegeman
Gerben Menschaert
A2
Artikel in een tijdschrift
in
ELIFE
2024
Hyperparameter optimization of two-branch neural networks in multi-target prediction
Dimitrios Iliadis
Marcel Wever
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
APPLIED SOFT COMPUTING
2024
Is epistemic uncertainty faithfully represented by evidential deep learning methods?
Mira Kristin Jürgens
Nis Meinert
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
C1
Conferentie
2024
Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study
Edward De Brouwer
Thijs Becker
Lorin Werthen-Brabants
Pieter Dewulf
Dimitrios Iliadis
Cathérine Dekeyser
Guy Laureys
Bart Van Wijmeersch
Veronica Popescu
Tom Dhaene
et al.
A2
Artikel in een tijdschrift
in
PLOS DIGITAL HEALTH
2024
Optimising DNA metabarcoding and machine learning for advanced impact assessments in the North Sea : a case study on sand extraction
Laure Van den Bulcke
Willem Waegeman
Sofie Derycke
Annelies De Backer
Proefschrift
2024
Out-of-sample R2 : estimation and inference
Stijn Hawinkel
Willem Waegeman
Steven Maere
A1
Artikel in een tijdschrift
in
AMERICAN STATISTICIAN
2024
Pre-trained Maldi Transformers improve MALDI-TOF MS-based prediction
Gaetan De Waele
Gerben Menschaert
Peter Vandamme
Willem Waegeman
Preprint
2024
Uncertainty-aware single-cell annotation with a hierarchical reject option
Lauren Theunissen
Thomas Mortier
Yvan Saeys
Willem Waegeman
A1
Artikel in een tijdschrift
in
BIOINFORMATICS
2024
2023
Automated multi-target prediction with two-branch neural networks
Dimitrios Iliadis
Bernard De Baets
Willem Waegeman
Proefschrift
2023
DeepMTP : a Python-based deep learning framework for multi-target prediction
Dimitrios Iliadis
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
SOFTWAREX
2023
Efficient algorithms for set-valued prediction in classification
Thomas Mortier
Willem Waegeman
Krzysztof Dembczyński
Proefschrift
2023
Integration of synthetic biology, systems biology and machine learning for the production of chitooligosaccharides in Escherichia coli
Friederike Mey
Marjan De Mey
Willem Waegeman
Proefschrift
2023
Model reduction and parameter estimation for kinetic models of biochemical reaction networks
Manvel Gasparyan
Shodhan Rao
Arnout Van Messem
Willem Waegeman
Proefschrift
2023
On second-order scoring rules for epistemic uncertainty quantification
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
P1
Conferentie
2023
On the calibration of probabilistic classifier sets
Thomas Mortier
Viktor Bengs
Eyke Hüllermeier
Stijn Luca
Willem Waegeman
P1
Conferentie
2023
Valid prediction intervals for regression problems
Nicolas Dewolf
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
ARTIFICIAL INTELLIGENCE REVIEW
2023
2022
CpG transformer for imputation of single-cell methylomes
Gaetan De Waele
Jim Clauwaert
Gerben Menschaert
Willem Waegeman
A1
Artikel in een tijdschrift
in
BIOINFORMATICS
2022
Heterogeneity hampers the identification of general pressure injury risk factors in intensive care populations : a predictive modelling analysis
Mieke Deschepper
Sonia Labeau
Willem Waegeman
Stijn Blot
A1
Artikel in een tijdschrift
in
INTENSIVE AND CRITICAL CARE NURSING
2022
Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study
Edward De Brouwer
Thijs Becker
Lorin Werthen-Brabants
Pieter Dewulf
Dimitrios Iliadis
Cathérine Dekeyser
Guy Laureys
Bart Van Wijmeersch
Veronica Popescu
Tom Dhaene
et al.
Preprint
2022
Multi-target prediction for dummies using two-branch neural networks
Dimitrios Iliadis
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
MACHINE LEARNING
2022
Novel transformer networks for improved sequence labeling in genomics
Jim Clauwaert
Willem Waegeman
A1
Artikel in een tijdschrift
in
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
2022
Pitfalls of epistemic uncertainty quantification through loss minimisation
Viktor Bengs
Eyke Hüllermeier
Willem Waegeman
C1
Conferentie
2022
ProD : a tool for predictive design of tailored promoters in Escherichia coli
Friederike Mey
Jim Clauwaert
Maarten Van Brempt
Michiel Stock
Jo Maertens
Willem Waegeman
Marjan De Mey
Hoofdstuk in een boek
in
Prokaryotic gene regulation : methods and protocols
2022
Seasonal prediction of Horn of Africa long rains using machine learning : the pitfalls of preselecting correlated predictors
Victoria Deman
Akash Koppa
Willem Waegeman
David A. MacLeod
Michael Bliss Singer
Diego Miralles
A2
Artikel in een tijdschrift
in
FRONTIERS IN WATER
2022
Set-valued prediction in hierarchical classification with constrained representation complexity
Thomas Mortier
Eyke Hüllermeier
Krzysztof Dembczynski
Willem Waegeman
C1
Conferentie
2022
2021
Aleatoric and epistemic uncertainty in machine learning : an introduction to concepts and methods
Eyke Huellermeier
Willem Waegeman
A1
Artikel in een tijdschrift
in
MACHINE LEARNING
2021
Ambient temperature and relative humidity-based drift correction in frequency domain electromagnetics using machine learning
Daan Hanssens
Ellen Van De Vijver
Willem Waegeman
Mark E. Everett
Ian Moffat
Apostolos Sarris
Philippe De Smedt
A1
Artikel in een tijdschrift
in
NEAR SURFACE GEOPHYSICS
2021
Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques : a large-scale benchmarking study
Thomas Mortier
Anneleen Wieme
Peter Vandamme
Willem Waegeman
A1
Artikel in een tijdschrift
in
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
2021
Cytometric fingerprints of gut microbiota predict Crohn's disease state
Peter Rubbens
Ruben Props
Frederiek-Maarten Kerckhof
Nico Boon
Willem Waegeman
A1
Artikel in een tijdschrift
in
ISME JOURNAL
2021
Efficient set-valued prediction in multi-class classification
Thomas Mortier
Marek Wydmuch
Krzysztof Dembczynski
Eyke Huellermeier
Willem Waegeman
A1
Artikel in een tijdschrift
in
DATA MINING AND KNOWLEDGE DISCOVERY
2021
Explainability in transformer models for functional genomics
Jim Clauwaert
Gerben Menschaert
Willem Waegeman
A1
Artikel in een tijdschrift
in
BRIEFINGS IN BIOINFORMATICS
2021
High-resolution surveying with small-loop requency-domain electromagnetic systems : efficient survey design and adaptive processing
Daan Hanssens
Willem Waegeman
Ynse Declercq
Hans Dierckx
Henri Verschelde
Philippe De Smedt
A1
Artikel in een tijdschrift
in
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
2021
Improving the performance of machine learning models for biotechnology : the quest for deus ex machina
Friederike Mey
Jim Clauwaert
Kirsten Van Huffel
Willem Waegeman
Marjan De Mey
A1
Artikel in een tijdschrift
in
BIOTECHNOLOGY ADVANCES
2021
PhenoGMM : Gaussian mixture modeling of cytometry data quantifies changes in microbial community structure
Peter Rubbens
Ruben Props
Frederiek-Maarten Kerckhof
Nico Boon
Willem Waegeman
A1
Artikel in een tijdschrift
in
MSPHERE
2021
Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting
Jasmine Heyse
Florian Schattenberg
Peter Rubbens
Susann Müller
Willem Waegeman
Nico Boon
Ruben Props
A1
Artikel in een tijdschrift
in
MSYSTEMS
2021
Pressure injury prediction models for critically-ill patients should consider both the case-mix and local factors
Mieke Deschepper
Sonia Labeau
Willem Waegeman
Stijn Blot
A1
Artikel in een tijdschrift
in
INTENSIVE AND CRITICAL CARE NURSING
2021
The quest for deus ex machina : harnessing the power of machine learning for synthetic biology
Friederike Mey
Jim Clauwaert
Kirsten Van Huffel
Willem Waegeman
Marjan De Mey
Lezing / Voordracht
2021
Towards harmonization of DNA metabarcoding for monitoring marine macrobenthos : the effect of technical replicates and pooled DNA extractions on species detection
Laure Van den Bulcke
Annelies De Backer
Bart Ampe
Sara Maes
Jan Wittoeck
Willem Waegeman
Kris Hostens
Sofie Derycke
A2
Artikel in een tijdschrift
in
METABARCODING AND METAGENOMICS
2021
2020
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference
Michiel Stock
Tapio Pahikkala
Antti Airola
Willem Waegeman
Bernard De Baets
A1
Artikel in een tijdschrift
in
BRIEFINGS IN BIOINFORMATICS
2020
An in-depth evaluation of annotated transcription start sites in E. coli using deep learning
Jim Clauwaert
Willem Waegeman
Preprint
2020
Deep learning techniques for genome processing and annotation tasks in prokaryotes
Jim Clauwaert
Willem Waegeman
Marjan De Mey
Gerben Menschaert
Proefschrift
2020
Discriminating bacterial phenotypes at the population and single‐cell level : a comparison of flow cytometry and Raman spectroscopy fingerprinting
Cristina García Timermans
Peter Rubbens
Jasmine Heyse
Frederiek-Maarten Kerckhof
Ruben Props
Andre Skirtach
Willem Waegeman
Nico Boon
A1
Artikel in een tijdschrift
in
CYTOMETRY PART A
2020
Fast pathogen identification using single-cell matrix-assisted laser desorption/ionization-aerosol time-of-flight mass spectrometry data and deep learning methods
Christina Papagiannopoulou
René Parchen
Peter Rubbens
Willem Waegeman
A1
Artikel in een tijdschrift
in
ANALYTICAL CHEMISTRY
2020
Investigating time series classification techniques for rapid pathogen identification with single-cell MALDI-TOF mass spectrum data
Christina Papagiannopoulou
René Parchen
Willem Waegeman
P1
Conferentie
2020
Predictive design of sigma factor-specific promoters
Maarten Van Brempt
Jim Clauwaert
Friederike Mey
Michiel Stock
Jo Maertens
Willem Waegeman
Marjan De Mey
A1
Artikel in een tijdschrift
in
NATURE COMMUNICATIONS
2020
The quest for deus ex machina : harnessing the power of machine learning for synthetic biology
Friederike Mey
Jim Clauwaert
Kirsten Van Huffel
Willem Waegeman
Marjan De Mey
C3
Conferentie
2020
Using structured pathology data to predict hospital-wide mortality at admission
Mieke Deschepper
Willem Waegeman
Dirk Vogelaers
Kristof Eeckloo
A1
Artikel in een tijdschrift
in
PLOS ONE
2020
2019
A hospital wide predictive model for unplanned readmission using hierarchical ICD data
Mieke Deschepper
Kristof Eeckloo
Dirk Vogelaers
Willem Waegeman
A1
Artikel in een tijdschrift
in
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
2019
A protocol for automated timber species identification using metabolome profiling
Victor Deklerck
Thomas Mortier
Nathalie Goeders
RB Cody
Willem Waegeman
E Espinoza
Joris Van Acker
Jan Van den Bulcke
H Beeckman
A1
Artikel in een tijdschrift
in
WOOD SCIENCE AND TECHNOLOGY
2019
Coculturing bacteria leads to reduced phenotypic heterogeneities
Jasmine Heyse
Benjamin Buysschaert
Ruben Props
Peter Rubbens
Andre Skirtach
Willem Waegeman
Nico Boon
A1
Artikel in een tijdschrift
in
APPLIED AND ENVIRONMENTAL MICROBIOLOGY
2019
DeepRibo : a neural network for precise gene annotation of prokaryotes by combining ribosome profiling signal and binding site patterns
Jim Clauwaert
Gerben Menschaert
Willem Waegeman
A1
Artikel in een tijdschrift
in
NUCLEIC ACIDS RESEARCH
2019
Fingerprinting microbial communities through flow cytometry and Raman spectroscopy
Cristina García Timermans
Peter Rubbens
Frederiek-Maarten Kerckhof
Ruben Props
Willem Waegeman
Nico Boon
C3
Conferentie
2019
Fingerprinting microbial communities through flow cytometry and Raman spectroscopy
Cristina García Timermans
Peter Rubbens
Frederiek-Maarten Kerckhof
Ruben Props
Willem Waegeman
Nico Boon
C3
Conferentie
2019
Learning single‐cell distances from cytometry data
Bac Nguyen Cong
Peter Rubbens
Frederiek-Maarten Kerckhof
Nico Boon
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
CYTOMETRY PART A
2019
Machine learning approaches for microbial flow cytometry at the single-cell and community level
Peter Rubbens
Willem Waegeman
Nico Boon
Proefschrift
2019
Multi-target prediction : a unifying view on problems and methods
Willem Waegeman
Krzysztof Dembczyński
Eyke Hüllermeier
A1
Artikel in een tijdschrift
in
DATA MINING AND KNOWLEDGE DISCOVERY
2019
Predicting microbial biodiversity using flow cytometry and 16S rRNA gene amplicon sequencing
Peter Rubbens
Ruben Props
Frederiek-Maarten Kerckhof
Nico Boon
Willem Waegeman
C3
Conferentie
2019
Randomized lasso links microbial taxa with aquatic functional groups inferred from flow cytometry
Peter Rubbens
Marian L Schmidt
Ruben Props
Bopaiah A Biddanda
Nico Boon
Willem Waegeman
Vincent J Denef
A1
Artikel in een tijdschrift
in
MSYSTEMS
2019
Set-Valued Prediction in Multi-Class Classification
Thomas Mortier
Marek Wydmuch
Krzysztof Dembczyński
Eyke Hüllermeier
Willem Waegeman
C3
Conferentie
2019
2018
A comparative study of pairwise learning methods based on kernel ridge regression
Michiel Stock
Tapio Pahikkala
Antti Airola
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
NEURAL COMPUTATION
2018
A data-driven search for functional bacterial populations in aquatic systems using flow cytometry, 16S rRNA gene amplicon sequencing and the Randomized Lasso
Peter Rubbens
Marian Schmidt
Ruben Props
Nico Boon
Vincent Denef
Willem Waegeman
C1
Conferentie
2018
A data-guided insight into global climate-vegetation dynamics
Christina Papagiannopoulou
Willem Waegeman
Diego Miralles
Proefschrift
2018
Deep F-measure maximization in multi-label classification : a comparative study
Stijn Decubber
Thomas Mortier
Krzysztof Dembczyński
Willem Waegeman
C1
Conferentie
2018
DeepRibo : precise gene annotation of prokaryotes using deep learning and ribosome profiling data
Jim Clauwaert
Gerben Menschaert
Willem Waegeman
C3
Conferentie
2018
DeepRibo : precise gene annotation of prokaryotes using deep learning and ribosome profiling data, validated with mass spectrometry data
Jim Clauwaert
Gerben Menschaert
Willem Waegeman
C3
Conferentie
2018
Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data
Ruben Props
Peter Rubbens
Michael Besmer
Benjamin Buysschaert
Jurg Sigrist
Hansueli Weilenmann
Willem Waegeman
Nico Boon
Frederik Hammes
A1
Artikel in een tijdschrift
in
WATER RESEARCH
2018
Effects of chlorhexidine gluconate oral care on hospital mortality : a hospital-wide, observational cohort study
Mieke Deschepper
Willem Waegeman
Kristof Eeckloo
Dirk Vogelaers
Stijn Blot
A1
Artikel in een tijdschrift
in
INTENSIVE CARE MEDICINE
2018
Global hydro-climatic biomes identified via multitask learning
Christina Papagiannopoulou
Diego Miralles
Matthias Demuzere
Niko Verhoest
Willem Waegeman
A1
Artikel in een tijdschrift
in
GEOSCIENTIFIC MODEL DEVELOPMENT
2018
Interpretation and visualisation of data from dairy herds
Kristof Hermans
Geert Opsomer
Willem Waegeman
Sander Moerman
Jenne De Koster
Mieke Van Eetvelde
Bonifacius Van Ranst
Miel Hostens
A1
Artikel in een tijdschrift
in
IN PRACTICE
2018
Label-free Raman characterization of bacteria calls for standardized procedures
Cristina García Timermans
Peter Rubbens
Frederiek-Maarten Kerckhof
Benjamin Buysschaert
Dmitry Khalenkow
Willem Waegeman
Andre Skirtach
Nico Boon
A1
Artikel in een tijdschrift
in
JOURNAL OF MICROBIOLOGICAL METHODS
2018
Single-cell bacterial characterization using flow cytometry and Raman spectroscopy
Cristina García Timermans
Peter Rubbens
Frederiek-Maarten Kerckhof
Ruben Props
Willem Waegeman
Nico Boon
C3
Conferentie
2018
Terrestrial evaporation response to modes of climate variability
Brecht Martens
Willem Waegeman
Wouter A Dorigo
Niko Verhoest
Diego Miralles
A1
Artikel in een tijdschrift
in
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
2018
2017
A non-linear Granger-causality framework to investigate climate-vegetation dynamics
Christina Papagiannopoulou
Diego Miralles
Stijn Decubber
Matthias Demuzere
Niko Verhoest
Wouter A Dorigo
Willem Waegeman
A1
Artikel in een tijdschrift
in
GEOSCIENTIFIC MODEL DEVELOPMENT
2017
A non-linear data-driven approach to reveal global vegetation sensitivity to climate
Diego Miralles
Matthias Demuzere
Niko Verhoest
Christina Papagiannopoulou
Stijn Decubber
Willem Waegeman
Wouter A. Dorigo
P1
Conferentie
2017
Absolute quantification of microbial taxon abundances
Ruben Props
Frederiek-Maarten Kerckhof
Peter Rubbens
Jo De Vrieze
Emma Hernandez Sanabria
Willem Waegeman
Pieter Monsieurs
Frederik Hammes
Nico Boon
A1
Artikel in een tijdschrift
in
ISME JOURNAL
2017
Analyzing Granger causality in climate data with time series classification methods
Christina Papagiannopoulou
Stijn Decubber
Diego Miralles
Matthias Demuzere
Niko Verhoest
Willem Waegeman
P1
Conferentie
2017
Comparison of statistical regression and data-mining techniques in estimating soil water retention of tropical delta soils
Phuong Nguyen
Amir Haghverdi
Jan De Pue
Yves-Dady Botula Manyala
Willem Waegeman
Wim Cornelis
A1
Artikel in een tijdschrift
in
BIOSYSTEMS ENGINEERING
2017
Exact and efficient algorithms for pairwise learning
Michiel Stock
Bernard De Baets
Willem Waegeman
Proefschrift
2017
Flow cytometric single-cell identification of populations in synthetic bacterial communities
Peter Rubbens
Ruben Props
Nico Boon
Willem Waegeman
A1
Artikel in een tijdschrift
in
PLOS ONE
2017
Identifying synthetic communities using flow cytometry and machine learning
Peter Rubbens
Cristina García Timermans
Ruben Props
Nico Boon
Willem Waegeman
C3
Conferentie
2017
Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised learning method
Brecht Martens
Diego Miralles
Wouter A Dorigo
Willem Waegeman
Niko Verhoest
P1
Conferentie
2017
Linear filtering reveals false negatives in species interaction data
Michiel Stock
Timothée Poisot
Willem Waegeman
Bernard De Baets
A1
Artikel in een tijdschrift
in
SCIENTIFIC REPORTS
2017
Novel approaches to assess the quality of fertility data stored in dairy herd management software
Kristof Hermans
Willem Waegeman
Geert Opsomer
Bonifacius Van Ranst
Jenne De Koster
Mieke Van Eetvelde
Miel Hostens
A1
Artikel in een tijdschrift
in
JOURNAL OF DAIRY SCIENCE
2017
Potentials and limitations of existing forecasting models for Alternaria on potatoes : challenges for model improvement
Sofie Landschoot
Jolien De Reu
Kris Audenaert
Pieter Vanhaverbeke
Geert Haesaert
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
POTATO RESEARCH
2017
Stripping flow cytometry : how many detectors do we need for bacterial identification?
Peter Rubbens
Ruben Props
Cristina García Timermans
Nico Boon
Willem Waegeman
A1
Artikel in een tijdschrift
in
CYTOMETRY PART A
2017
The use of shallow convolutional neural networks in predicting promotor strength in Eschericha coli
Jim Clauwaert
Michiel Stock
Marjan De Mey
Willem Waegeman
C3
Conferentie
2017
Vegetation anomalies caused by antecedent precipitation in most of the world
Christina Papagiannopoulou
Diego Miralles
Wouter A Dorigo
Niko Verhoest
Mathieu Depoorter
Willem Waegeman
A1
Artikel in een tijdschrift
in
ENVIRONMENTAL RESEARCH LETTERS
2017
miSTAR : miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure
Gert Van Peer
Ayla De Paepe
Michiel Stock
Jasper Anckaert
Pieter-Jan Volders
Jo Vandesompele
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
NUCLEIC ACIDS RESEARCH
2017
2016
Clustering environmental flow cytometry data by searching density peaks
Peter Rubbens
Willem Waegeman
Ruben Props
Nico Boon
C1
Conferentie
2016
Consistency of probabilistic classifier trees
Krzysztof Dembczyński
Wojciech Kotłowski
Willem Waegeman
Róbert Busa-Fekete
Eyke Hüllermeier
C1
Conferentie
2016
Data-driven recipe completion using machine learning methods
Marlies De Clercq
Michiel Stock
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
TRENDS IN FOOD SCIENCE & TECHNOLOGY
2016
Discovering relationships in climate-vegetation dynamics using satellite data
Christina Papagiannopoulou
Diego Miralles
Mathieu Depoorter
Niko Verhoest
Wouter Dorigo
Willem Waegeman
C1
Conferentie
2016
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models
Michiel Stock
Krzysztof Dembczynski
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
DATA MINING AND KNOWLEDGE DISCOVERY
2016
Identifying synthetic microbial communities by learning in silico communities using flow cytometry
Peter Rubbens
Willem Waegeman
Ruben Props
Nico Boon
C1
Conferentie
2016
Learning in silico communities to perform flow cytometric identification of synthetic bacterial communities
Peter Rubbens
Ruben Props
Nico Boon
Willem Waegeman
C1
Conferentie
2016
2015
Prediction of subacute ruminal acidosis based on milk fatty acids: a comparison of linear discriminant and support vector machine approaches for model development
Ellen Colman
Willem Waegeman
Bernard De Baets
Veerle Fievez
A1
Artikel in een tijdschrift
in
COMPUTERS AND ELECTRONICS IN AGRICULTURE
2015
Recipe completion using machine learning techniques
Marlies De Clercq
Michiel Stock
Bernard De Baets
Willem Waegeman
C1
Conferentie
2015
2014
A community effort to assess and improve drug sensitivity prediction algorithms
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.
A1
Artikel in een tijdschrift
in
NATURE BIOTECHNOLOGY
2014
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction
Tapio Pahikkala
Michiel Stock
Antti Airola
Tero Aittokallio
Bernard De Baets
Willem Waegeman
C1
Conferentie
2014
Identification of functionally related enzymes by learning-to-rank methods
Michiel Stock
Thomas Fober
Eyke Hüllermeier
Serghei Glinca
Gerhard Klebe
Tapio Pahikkala
Antti Airola
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
2014
On the Bayes-optimality of F-measure maximizers
Willem Waegeman
Krzysztof Dembczyński
Arkadiusz Jachnik
Weiwei Cheng
Eyke Hüllermeier
A1
Artikel in een tijdschrift
in
JOURNAL OF MACHINE LEARNING RESEARCH
2014
Predicting spatio-temporal Culicoides imicola distributions in Spain based on environmental habitat characteristics and species dispersal
Jan Peters
Willem Waegeman
Jasper Van doninck
E Ducheyne
C Calvete
J Lucientes
Niko Verhoest
Bernard De Baets
A1
Artikel in een tijdschrift
in
ECOLOGICAL INFORMATICS
2014
2013
A field-specific web tool for the prediction of Fusarium head blight and deoxynivalenol content in Belgium
Sofie Landschoot
Willem Waegeman
Kris Audenaert
P Van Damme
Judith Vandepitte
Bernard De Baets
Geert Haesaert
A1
Artikel in een tijdschrift
in
COMPUTERS AND ELECTRONICS IN AGRICULTURE
2013
Combined exposure to cyanobacteria and carbaryl results in antagonistic effects on the reproduction of Daphnia pulex
Jana Asselman
Joris Meys
Willem Waegeman
Bernard De Baets
Karel De Schamphelaere
A1
Artikel in een tijdschrift
in
ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY
2013
Does risk assessment of harmful algal blooms need to consider combined and interactive effects with pesticides (and vice versa)?
Jana Asselman
Michael Pfrender
Jacqueline Lopez
Joseph Shaw
Willem Waegeman
Bernard De Baets
Karel De Schamphelaere
C3
Conferentie
2013
Efficient regularized least-squares algorithms for conditional ranking on relational data
Tapio Pahikkala
Antti Airola
Michiel Stock
Bernard De Baets
Willem Waegeman
A1
Artikel in een tijdschrift
in
MACHINE LEARNING
2013
Exploration and prediction of interactions between methanotrophs and heterotrophs
Michiel Stock
Sven Hoefman
Frederiek-Maarten Kerckhof
Nico Boon
Paul De Vos
Bernard De Baets
Kim Heylen
Willem Waegeman
A1
Artikel in een tijdschrift
in
RESEARCH IN MICROBIOLOGY
2013
Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models
Shinji Fukuda
Bernard De Baets
Willem Waegeman
Jan Verwaeren
Ans Mouton
A1
Artikel in een tijdschrift
in
ENVIRONMENTAL MODELLING & SOFTWARE
2013
Influence of maize-wheat rotation systems on Fusarium head blight infection and deoxynivalenol content in wheat under low versus high disease pressure
Sofie Landschoot
Kris Audenaert
Willem Waegeman
Bernard De Baets
Geert Haesaert
A1
Artikel in een tijdschrift
in
CROP PROTECTION
2013
Optimizing the F-measure in multi-label classification : plug-in rule approach versus structured loss minimization
Krzysztof Dembczyński
Arkadiusz Jachnik
Wojciech Kotłowski
Willem Waegeman
Eyke Hüllermeier
C1
Conferentie
2013
Ordinal regression models for predicting deoxynivalenol in winter wheat
Sofie Landschoot
Willem Waegeman
Kris Audenaert
Geert Haesaert
Bernard De Baets
A1
Artikel in een tijdschrift
in
PLANT PATHOLOGY
2013
Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat
Sofie Landschoot
Kris Audenaert
Willem Waegeman
Bernard De Baets
Geert Haesaert
C3
Conferentie
2013
2012
A field-specific webtool for the prediction of Fusarium head blight and DON content in Belgium
Sofie Landschoot
Willem Waegeman
Kris Audenaert
J Vandepitte
Patrick Van Damme
Bernard De Baets
Geert Haesaert
C3
Conferentie
2012
A kernel-based framework for learning graded relations from data
Willem Waegeman
Tapio Pahikkala
Antti Airola
Tapio Salakoski
Michiel Stock
Bernard De Baets
A1
Artikel in een tijdschrift
in
IEEE TRANSACTIONS ON FUZZY SYSTEMS
2012
A machine learning approach to predict Fusarium head blight
Sofie Landschoot
Willem Waegeman
Kris Audenaert
Judith Vandepitte
Patrick Van Damme
Bernard De Baets
Geert Haesaert
C3
Conferentie
2012
An analysis of chaining in multi-label classification
Krzysztof Dembczyński
Willem Waegeman
Eyke Hüllermeier
P1
Conferentie
2012
An empirical analysis of explanatory variables affecting Fusarium head blight infection and deoxynivalenol content in wheat
Sofie Landschoot
Willem Waegeman
Kris Audenaert
Jan Vandepitte
Jan Baetens
Bernard De Baets
Geert Haesaert
A1
Artikel in een tijdschrift
in
JOURNAL OF PLANT PATHOLOGY
2012
Applying morphological changes during the evolution of quadruped robots results in robust gaits
Jonas Degrave
Francis wyffels
Tim Waegeman
Pieter-Jan Kindermans
Benjamin Schrauwen
C3
Conferentie
2012
BeneLearn 2012 : proceedings of the 21st Belgian-Dutch conference on machine learning
Boekeditor
2012
Conditional ranking algorithms for efficient object retrieval and object querying on relational data
Willem Waegeman
Michiel Stock
Bernard De Baets
Tapio Pahikkala
Antti Airola
Tapio Salakoski
C3
Conferentie
2012
Determination of trade-offs in ecosystem service delivery using Bayesian belief networks
Rob D'hondt
Dries Landuyt
Katrien Van der Biest
Sander Jacobs
C3
Conferentie
2012
Distance dependent extensions of the Chinese restaurant process
Willem Wybo
Camille Colle
Pieter-Jan Kindermans
Benjamin Schrauwen
C1
Conferentie
2012
F-Measure maximization in topical classification
Weiwei Cheng
Krzysztof Dembczyński
Eyke Hüllermeier
Adrian Jaroszewicz
Willem Waegeman
C1
Conferentie
2012
Inferring gene regulatory network topologies using ensembles of feature selection techniques
Joeri Ruyssinck
Tom Dhaene
Yvan Saeys
C3
Conferentie
2012
Label ranking with partial abstention based on thresholded probabilistic models
Weiwei Cheng
Eyke Hüllermeier
Willem Waegeman
Volkmar Welker
C1
Conferentie
2012
Learning monadic and dyadic relations : three case studies in systems biology
Michiel Stock
Tapio Pahikkala
Antti Airola
Tapio Salakoski
Bernard De Baets
Willem Waegeman
C1
Conferentie
2012
Learning partial ordinal class memberships with kernel-based proportional odds models
Jan Verwaeren
Willem Waegeman
Bernard De Baets
A1
Artikel in een tijdschrift
in
COMPUTATIONAL STATISTICS & DATA ANALYSIS
2012
On label dependence and loss minimization in multi-label classification
Krzystzof Dembczyński
Willem Waegeman
Weiwei Cheng
Eyke Hüllermeier
A1
Artikel in een tijdschrift
in
MACHINE LEARNING
2012
Predicting long term behavior of genetic regulatory networks with answer set programming
Gustavo Adolfo Torres Torres
Kathleen Marchal
Yves Van de Peer
Martine De Cock
C3
Conferentie
2012
System modeling for active noise control with reservoir computing
Jens Nyman
Ken Caluwaerts
Tim Waegeman
Benjamin Schrauwen
C3
Conferentie
2012
The logistic curve as a tool to describe the daily ruminal pH pattern and its link with milk fatty acids
Ellen Colman
BM Tas
Willem Waegeman
Bernard De Baets
Veerle Fievez
A1
Artikel in een tijdschrift
in
JOURNAL OF DAIRY SCIENCE
2012
Towards a reliable evaluation of forecasting systems for plant diseases: a case study of Fusarium head blight
Sofie Landschoot
Willem Waegeman
Kris Audenaert
Judith Vandepitte
Geert Haesaert
Bernard De Baets
A1
Artikel in een tijdschrift
in
PLANT DISEASE
2012
Towards incorporation of hierarchical Bayesian models into evolution strategies for quadruped gait generation
Pieter-Jan Kindermans
Francis wyffels
Ken Caluwaerts
Bert Guns
Benjamin Schrauwen
C3
Conferentie
2012
2011
A discussion on the accuracy-complexity relationship in modelling fish habitat preference using genetic Takagi-Sugeno fuzzy systems
Shinji Fukuda
Jun Nakajima
Bernard De Baets
Willem Waegeman
Takahiko Mukai
Ans Mouton
Norio Orikura
C1
Conferentie
2011
A kernel framework for learning relations from paired-comparison data
Willem Waegeman
Tapio Pahikkala
Antti Airola
Tapio Salakoski
Bernard De Baets
C3
Conferentie
2011
An analysis of explanatory variables affecting Fusarium infection and DON content in wheat
Sofie Landschoot
Willem Waegeman
Kris Audenaert
J Vandepitte
J Baeten
Bernard De Baets
Geert Haesaert
C3
Conferentie
2011
An exact algorithm for F-measure maximization
Krzysztof Dembczyński
Willem Waegeman
Weiwei Cheng
Eyke Hüllermeier
C3
Conferentie
2011
An exact algorithm for F-measure maximization
Krzysztof Dembczyński
Willem Waegeman
Weiwei Cheng
Eyke Hüllermeier
C1
Conferentie
2011
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve
Antti Airola
Tapio Pahikkala
Willem Waegeman
Bernard De Baets
Tapio Salakoski
A1
Artikel in een tijdschrift
in
COMPUTATIONAL STATISTICS & DATA ANALYSIS
2011
Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning
Katrien De Bruyne
Bram Slabbinck
Willem Waegeman
Paul Vauterin
Bernard De Baets
Peter Vandamme
A1
Artikel in een tijdschrift
in
SYSTEMATIC AND APPLIED MICROBIOLOGY
2011
Connection between primary Fusarium inoculum on gramineous weeds, crop residues and soil samples and the final population on wheat ears in Flanders, Belgium
Sofie Landschoot
Kris Audenaert
Willem Waegeman
Bart Pycke
Boris Bekaert
Bernard De Baets
Geert Haesaert
A1
Artikel in een tijdschrift
in
CROP PROTECTION
2011
ERA ranking representability: the missing link between ordinal regression and multi-class classification
Willem Waegeman
Bernard De Baets
C1
Conferentie
2011
Effect of model formulation on the optimization of a genetic Takagi-Sugeno fuzzy system for fish habitat suitability evaluation
Shinji Fukuda
Bernard De Baets
Ans Mouton
Willem Waegeman
Jun Nakajima
Takahiro Mukai
Kazuaki Hiramatsu
Norio Onikura
A1
Artikel in een tijdschrift
in
ECOLOGICAL MODELLING
2011
Impact of fungicide timing on the composition of the Fusarium head blight disease complex and the presence of deoxynivalenol (DON) in wheat
Kris Audenaert
Sofie Landschoot
Adriaan Vanheule
Willem Waegeman
Bernard De Baets
Geert Haesaert
Hoofdstuk in een boek
in
Fungicides : beneficial and harmful aspects
2011
Incorporating prior knowledge in multiple output regression with application to chemometrics
Jan Verwaeren
Willem Waegeman
Bernard De Baets
C3
Conferentie
2011
Joint mode estimation in multi-label classification by chaining
Krzysztof Dembczyński
Willem Waegeman
Eyke Hüllermeier
C1
Conferentie
2011
Learning valued relations from data
Willem Waegeman
Tapio Pahikkala
Antti Airola
Tapio Salakoski
Bernard De Baets
P1
Conferentie
2011
Modelling fish habitat preference with a genetic algorithm-optimized Takagi-Sugeno model based on pairwise comparisons
Shinji Fukuda
Willem Waegeman
Ans Mouton
Bernard De Baets
P1
Conferentie
2011
Modelling spawning habitat for European grayling (Thymallus thymallus L.) using a support vector machine and a genetic Takagi-Sugeno fuzzy model
Shinji Fukuda
Willem Waegeman
Ans Mouton
Bernard De Baets
C3
Conferentie
2011
On the ERA ranking representability of pairwise bipartite ranking functions
Willem Waegeman
Bernard De Baets
A1
Artikel in een tijdschrift
in
ARTIFICIAL INTELLIGENCE
2011
Supervised learning algorithms for multi-class classification problems with partial class memberships
Willem Waegeman
Jan Verwaeren
Bram Slabbinck
Bernard De Baets
A1
Artikel in een tijdschrift
in
FUZZY SETS AND SYSTEMS
2011
2010
A comparison of AUC estimators in small-sample studies
Antti Airola
Tapio Pahikkala
Willem Waegeman
Bernard De Baets
Tapio Salakoski
P1
Conferentie
2010
A genetic Takagi-Sugeno system for fish habitat preference modelling
Shinji Fukuda
Norio Onikura
Bernard De Baets
Willem Waegeman
Ans Mouton
Jun Nakajima
Takahiko Mukai
C1
Conferentie
2010
A machine learning approach to predict Fusarium head blight in winter wheat
Sofie Landschoot
Kris Audenaert
Willem Waegeman
Bernard De Baets
Geert Haesaert
C3
Conferentie
2010
A survey on ROC-based ordinal regression learning
Willem Waegeman
Bernard De Baets
Hoofdstuk in een boek
in
Preference learning
2010
A transitivity analysis of bipartite rankings in pairwise multi-class classification
Willem Waegeman
Bernard De Baets
A1
Artikel in een tijdschrift
in
INFORMATION SCIENCES
2010
An empirical analysis of explanatory variables affecting Fusarium and deoxynivalenol in wheat for feed production
Sofie Landschoot
Kris Audenaert
Willem Waegeman
Jan Vandepitte
Geert Haesaert
Bernard De Baets
C1
Conferentie
2010
Composition of primary Fusarium head blight (FHB) inoculums and the final population on wheat ears
Sofie Landschoot
Kris Audenaert
Willem Waegeman
Bernard De Baets
Bart Pycke
Boris Bekaert
C3
Conferentie
2010
Composition of primary Fusarium inoculum and the final population on wheat ears
Sofie Landschoot
Kris Audenaert
Willem Waegeman
Bart Pycke
Bieke Bekaert
Bernard De Baets
Geert Haesaert
C3
Conferentie
2010
Conditional ranking on relational data
Willem Waegeman
Tapio Pahikkala
Antti Airola
Tapio Salakoski
Bernard De Baets
C3
Conferentie
2010
Conditional ranking on relational data
Tapio Pahikkala
Willem Waegeman
Antti Airola
Tapio Salakoski
Bernard De Baets
P1
Conferentie
2010
Directional predictions for 4-class BCI data
Dieter Devlaminck
Willem Waegeman
Bruno Bauwens
Bart Wyns
Georges Otte
Luc Boullart
Patrick Santens
C1
Conferentie
2010
Ensemble methods for multi-label learning of compositional data
Jan Verwaeren
Willem Waegeman
Bernard De Baets
C1
Conferentie
2010
From circular ordinal regression to multilabel classification
Dieter Devlaminck
Willem Waegeman
Bruno Bauwens
Bart Wyns
Patrick Santens
Georges Otte
C1
Conferentie
2010
From learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification
Bram Slabbinck
Willem Waegeman
Peter Dawyndt
Paul De Vos
Bernard De Baets
A1
Artikel in een tijdschrift
in
BMC BIOINFORMATICS
2010
Learning intransitive reciprocal relations with kernel methods
Tapio Pahikkala
Willem Waegeman
Evgeni Tsivtsivadze
Tapio Salakoski
Bernard De Baets
A1
Artikel in een tijdschrift
in
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
2010
Learning partial ordinal class memberships in a proportional odds setting
Jan Verwaeren
Willem Waegeman
Bernard De Baets
C1
Conferentie
2010
On label dependence in multilabel classification
Krzysztof Dembszynski
Willem Waegeman
Weiwei Cheng
Eyke Hüllermeier
C1
Conferentie
2010
On the role of cost-sensitive learning in multi-class brain-computer interfaces
Dieter Devlaminck
Willem Waegeman
Bart Wyns
Georges Otte
Patrick Santens
A1
Artikel in een tijdschrift
in
BIOMEDIZINISCHE TECHNIK
2010
Regret analysis for performance metrics in multi-label classification: the case of Hamming and subset zero-one loss
Krzysztof Dembszynski
Willem Waegeman
Weiwei Cheng
Eyke Hüllermeier
C1
Conferentie
2010
Relationship between primary Fusarium inoculum and the final population on wheat ears
Sofie Landschoot
Kris Audenaert
Willem Waegeman
Bernard De Baets
Geert Haesaert
C3
Conferentie
2010
2009
A transitivity analysis of bipartite rankings in a pairwise multi-class setting
Willem Waegeman
Bernard De Baets
C3
Conferentie
2009
From ranking to intranstivie preference learning : rock-paper-scissors and beyond
Tapio Pahikkala
Willem Waegeman
Evgeni Tsivtsivadze
Tapio Salakoski
Bernard De Baets
C1
Conferentie
2009
Kernel-based learning methods for preference aggregation
Willem Waegeman
Bernard De Baets
Luc Boullart
A1
Artikel in een tijdschrift
in
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH
2009
Learning intransitive reciprocal relations with regularized least-squares
Tapio Pahikkala
Willem Waegeman
Evgeni Tsivtsivadze
Tapio Salakoski
Bernard De Baets
C1
Conferentie
2009
Learning intransitive reciprocal relations with regularized least-squares
Willem Waegeman
Tapio Pahikkala
Evgeni Tsivtsivadze
Tapio Salakoski
Bernard De Baets
C3
Conferentie
2009
Learning ordinal partial class memberships with kernel-based proportional odds models
Willem Waegeman
Jan Verwaeren
Bernard De Baets
C3
Conferentie
2009
Learning to rank: a ROC-based graph-theoretic approach
Willem Waegeman
A1
Artikel in een tijdschrift
in
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH
2009
MMN: emotional dimension of distractor task in a simple duration mismatch paradigm
Georges Otte
G De Bruecker
Willem Waegeman
Pieter-Jan Geerts
Bart Wyns
C3
Conferentie
2009
Machine learning algorithms for coupling FAME and 16S rRNA data in bacterial species identification
Dries Van Audenhove
Willem Waegeman
Bram Slabbinck
Peter Dawyndt
Bernard De Baets
C3
Conferentie
2009
Machine learning algorithms for disease prediction in winter wheat
Dorien Colman
Willem Waegeman
Kris Audenaert
Bernard De Baets
Geert Haesaert
C3
Conferentie
2009
Modelling partial class memberships in multi-class classification: a probabilistic approach
Willem Waegeman
Bernard De Baets
C1
Conferentie
2009
On the use of ordinal regression and cost-sensitive classification in 3-class brain-computer interfaces
Dieter Devlaminck
Willem Waegeman
Bart Wyns
Georges Otte
Patrick Santes
C3
Conferentie
2009
Ordinal regression for a 3-class brain-computer interface
Dieter Devlaminck
Willem Waegeman
Bart Wyns
Luc Boullart
Georges Otte
Patrick Santens
C1
Conferentie
2009
2008
A Graph-theoretic Approach for Reducing One-versus-one Multi-class Classification to Ranking. International Workshop on Mining and Learning with Graphs
Willem Waegeman
Bernard De Baets
Luc Boullart
C1
Conferentie
2008
Classifying carpets based on laser scanner data
Willem Waegeman
Johannes Cottyn
Bart Wyns
Luc Boullart
Bernard De Baets
Lieva Van Langenhove
Jan Detand
A1
Artikel in een tijdschrift
in
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
2008
Integrating Expert Knowledge into Kernel-based Preference Models
Willem Waegeman
Bernard De Baets
Luc Boullart
C1
Conferentie
2008
Kernel-based learning methods for preference aggregation
Willem Waegeman
Bernard De Baets
Luc Boullart
C3
Conferentie
2008
Learning layered ranking functions with structured support vector machines
Willem Waegeman
Bernard De Baets
Luc Boullart
A1
Artikel in een tijdschrift
in
NEURAL NETWORKS
2008
Learning to rank: a ROC-based graph-theoretic approach
Willem Waegeman
Luc Boullart
Bernard De Baets
Proefschrift
2008
On the scalability of ordered multi-class ROC analysis
Willem Waegeman
Bernard De Baets
Luc Boullart
A1
Artikel in een tijdschrift
in
COMPUTATIONAL STATISTICS & DATA ANALYSIS
2008
ROC analysis in ordinal regression learning
Willem Waegeman
Bernard De Baets
Luc Boullart
A1
Artikel in een tijdschrift
in
PATTERN RECOGNITION LETTERS
2008
When can we simplify a one-versus-one multi-class classifier to a single ranking
Willem Waegeman
Bernard De Baets
Luc Boullart
C1
Conferentie
2008
2007
Kernel-based aggregation of fuzzy and probabilistic preference relations
Willem Waegeman
Bernard De Baets
Luc Boullart
C3
Conferentie
2007
Learning a Layered Graph with a Maximal Number of Paths Connecting Source and Sink
Willem Waegeman
Bernard De Baets
Luc Boullart
C1
Conferentie
2007
Learning a Layered Graph with a Maximal Number of Paths Connecting Source and Sink
Willem Waegeman
Bernard De Baets
Luc Boullart
C1
Conferentie
2007
Machine learning algorithms for carpets classification
Rares Damian
Robain De Keyser
Luc Boullart
Willem Waegeman
Lieva Van Langenhove
Corneliu Lazar
C1
Conferentie
2007
Polymorphisms in the ficolin 1 gene (FCN1) are associated with susceptibility to the development of rheumatoid arthritis
Bert Vander Cruyssen
Lieve Nuytinck
Luc Boullart
Dirk Elewaut
Willem Waegeman
Mira Van Thielen
E. DE MEESTER
K. LEBEER
R. ROSSAU
Filip De Keyser
A1
Artikel in een tijdschrift
in
RHEUMATOLOGY
2007
ROC-based ordinal regression learning: an overview
Willem Waegeman
Bernard De Baets
Luc Boullart
C3
Conferentie
2007
Ranking by learning layered graphs
Willem Waegeman
Bernard De Baets
Luc Boullart
C1
Conferentie
2007
2006
A comparison of different ROC measures for ordinal regression
Willem Waegeman
Bernard De Baets
Luc Boullart
C1
Conferentie
2006
An ensemble of weighted support vector machines for ordinal regression
Willem Waegeman
Luc Boullart
P1
Conferentie
2006
The volume under the ROC surface as evaluation criterion for ordinal regression models
Willem Waegeman
Bernard De Baets
Luc Boullart
C3
Conferentie
2006
2004
Ordinal classification with support vector machines for automatic assessment of carpet wear
Willem Waegeman
Bernard De Baets
Luc Boullart
C3
Conferentie
2004