Verwaeren Jan

jan.verwaeren@ugent.be
@KERMIT, office 110.68
(+32) 9 248.88.60

linkedin logo Verwaeren Jan
ORCID logo https://orcid.org/0000-0001-9978-501X
Biblio logoBiblio UGent
Google Scholar logoGoogle Scholar

Research Interests: Optimization theory, data analysis and machine learning

Journal papers Conference papers

Journal papers

Biblio logo(23) Predicting children’s food choice using check-all-that-apply questions
J. Verwaeren, X. Gellynck, S. Lagast and J. Schouteten
(2019) JOURNAL OF SENSORY STUDIES. 34, e12471.
Biblio logo(22) Comparing a standardized to a product-specific emoji list for evaluating food products by children
J. Schouteten, J. Verwaeren, X. Gellynck and V.L. Almli
(2019) FOOD QUALITY AND PREFERENCE. 72, 86–97.
Biblio logo(21) Integrating expert and novice evaluations for augmenting ordinal regression models
M. Sader, J. Verwaeren, R. Pérez-Fernández and B. De Baets
(2019) INFORMATION FUSION. 51, 1-9.
Biblio logo(20) Green leaf volatile production by plants : a meta-analysis
M. Ameye , S. Allmann, J. Verwaeren, G. Smagghe, G. Haesaert, R. C. Schuurink and K. Audenaert
(2018) NEW PHYTOLOGIST. 220, 666-683.
Biblio logo(19) Emoji as a tool for measuring children’s emotions when tasting food
J. Schouteten, J. Verwaeren, S. Lagast, X. Gellynck and H. De Steur
(2018) FOOD QUALITY AND PREFERENCE. 68, 322–331.
Biblio logo(18) The influence of natural oils of blackcurrant, black cumin seed, thyme and wheat germ on dough and bread technological and microbiological quality
E. Debonne, I. De Leyn, J. Verwaeren, S. Moens, F. Devlieghere, M. Eeckhout and F. Van Bockstaele
(2018) LWT-FOOD SCIENCE AND TECHNOLOGY. 93, 212–219.
Biblio logo(17) Species prevalence and disease progression studies demonstrate a seasonal shift in the alternaria population composition on potato
M. Vandecasteele, S. Landschoot, J. Carrette, J. Verwaeren, M. Höfte, K. Audenaert and G. Haesaert
(2018) PLANT PATHOLOGY. 67, 327–336.
Biblio logo(16) Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment
J. Van den Bossche, B. De Baets, J. Verwaeren, D. Botteldooren and J. Theunis
(2018) ENVIRONMENTAL MODELLING AND SOFTWARE. 99, 58-69.
Biblio logo(15) Congolese rhizospheric soils as a rich source of new plant growth-promoting endophytic Piriformospora isolates
J. Venneman, K. Audenaert, J. Verwaeren, G. Baert, P. Boeckx, A. M. Moango, B. D Dhed’a, D. Vereecke and G. Haesaert
(2017) FRONTIERS IN MICROBIOLOGY. 8, 212.
Biblio logo(14) The digitization of a food package's life cycle: Existing and emerging software applications in the logistics and post-logistics phase
M. Vanderroost, P. Ragaert, J. Verwaeren, B. De Meulenaer, B. De Baets and F. Devlieghere
(2017) COMPUTERS IN INDUSTRY. 87, 15-30.
Biblio logo(13) The digitization of a food package's life cycle: Existing and emerging software applications in the pre-logistics phase
M. Vanderroost, P. Ragaert, J. Verwaeren, B. De Meulenaer, B. De Baets and F. Devlieghere
(2017) COMPUTERS IN INDUSTRY. 87, 1-14.
Biblio logo(12) Milk fatty acids as possible biomarkers to diagnose hyperketonemia in early lactation
S. Jorjong, A.T.M. van Knegsel, J. Verwaeren, R.M. Bruckmaier, B. De Baets, B. Kemp, and V. Fievez
(2015) JOURNAL OF DAIRY SCIENCE. 98, 5211-5221.
Biblio logo(11) A decoy-free approach to the identification of peptides
G. Gonnelli, M. Stock, J. Verwaeren, D. Maddelein, B. De Baets, L. Martens and S. Degroeve
(2015) JOURNAL OF PROTEOME RESEARCH. 14, 1792-1798.
Biblio logo(10) A search grid for parameter optimization as a byproduct of model sensitivity analysis
J. Verwaeren, P. Van der Weeën and B. De Baets
(2015) APPLIED MATHEMATICS AND COMPUTATION. 261, 8-27.
Biblio logo(9) An interval estimator for the unmixing of mixtures with set-based source descriptions
J. Verwaeren, M. Rademaker and B. De Baets
(2015) INTERNAT. J. APPROXIMATE REASONING. 60, 71-92.
Biblio logo(8) Mobile monitoring for mapping spatial variation in urban air quality: development and validation of a methodology based on an extensive dataset
J. Van den Bossche, J. Peters, J. Verwaeren, D. Botteldooren, J. Theunis and B. De Baets
(2015) ATMOSPHERIC ENVIRONMENT. 105, 148-161.
Biblio logo(7) Accounting for image uncertainty in SAR-based flood mapping
L. Giustarini, H. Vernieuwe, J. Verwaeren, M. Chini, R. Hostache, P. Matgen, N.E.C. Verhoest and B. De Baets
(2015) INTERNAT. J. APPLIED EARTH OBSERVATION AND GEOINFORMATION. 34, 70-77.
Biblio logo(6) Milk fatty acids as possible biomarkers to early diagnose high concentration of blood plasma non-esterified fatty acids in dairy cows
S. Jorjong, A.T.M. van Knegsel, J. Verwaeren, M. Val Lahoz, B. De Baets, B. Kemp, R.M. Bruckmaier and V. Fievez
(2014) JOURNAL OF DAIRY SCIENCE. 97, 7054-7064.
Biblio logo(5) Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models
S. Fukuda, B. De Baets, W. Waegeman, J. Verwaeren and A.M. Mouton
(2013) ENVIRONMENTAL MODELLING AND SOFTWARE. 447, 1-6.
Biblio logo(4) Countering the negative search bias of Ant Colony Optimization in subset selection problems
J. Verwaeren, K. Scheerlinck and B. De Baets
(2013) COMPUTERS AND OPERATIONS RESEARCH. 40, 931-942.
Biblio logo(3) Modeling the photocatalytic degradation of moxifloxacin by means of a stochastic cellular automaton
P. Van der Weeën, J.M. Baetens, J. Verwaeren, X. Van Doorslaer, P.M. Heynderickx, J. Dewulf and B. De Baets
(2012) CHEMICAL ENGINEERING JOURNAL. 188, 181-190.
Biblio logo(2) Learning partial ordinal class memberships with kernel-based proportional odds models
J. Verwaeren, W. Waegeman and B. De Baets
(2012) COMPUTATIONAL STATISTICS AND DATA ANALYSIS. 56, 928-942.
Biblio logo(1) Supervised learning algorithms for multi-class classification problems with partial class memberships
W. Waegeman, J. Verwaeren, B. Slabbinck and B. De Baets
(2011) FUZZY SETS AND SYSTEMS. 184, 106-125.

Conference papers

(2) Decomposition methods for multi-label learning of compositional data
J. Verwaeren, W. Waegeman and B. De Baets
(2010) ICML 2010 WORKSHOP ON LEARNING FROM MULTI-LABEL DATA.
Haifa, Israel, 8 pages.
(1) Learning partial ordinal class memberships in a proportional odds setting
J. Verwaeren, W. Waegeman and B. De Baets
(2010) THE ANNUAL BENELUX CONFERENCE ON MACHINE LEARNING.
Leuven, Belgium, 8 pages.