Supervised learning algorithms for multi-class classification problems with partial class memberships. - Willem Waegeman; Jan Verwaeren; Bram Slabbinck; Bernard De Baets (Fuzzy Sets Syst., 2011)

Learning partial ordinal class memberships with kernel-based proportional odds models. - Jan Verwaeren; Willem Waegeman; Bernard De Baets (Comput. Stat. Data Anal., 2012)

Countering the negative search bias of ant colony optimization in subset selection problems. - Jan Verwaeren; Karolien Scheerlinck; Bernard De Baets (Comput. Oper. Res., 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 M. Mouton (Environ. Model. Softw., 2013)

Accounting for image uncertainty in SAR-based flood mapping. - Laura Giustarini; Hilde Vernieuwe; Jan Verwaeren; Marco Chini; Renaud Hostache; Patrick Matgen; Niko E. C. Verhoest; Bernard De Baets (Int. J. Appl. Earth Obs. Geoinformation, 2015)

A search grid for parameter optimization as a byproduct of model sensitivity analysis. - Jan Verwaeren; Pieter Van der Weeën; Bernard De Baets (Appl. Math. Comput., 2015)

An interval estimator for the unmixing of mixtures with set-based source descriptions. - Jan Verwaeren; Michaël Rademaker; Bernard De Baets (Int. J. Approx. Reason., 2015)

The digitization of a food package's life cycle: Existing and emerging computer systems in the pre-logistics phase. - Mike Vanderroost; Peter Ragaert; Jan Verwaeren; Bruno De Meulenaer; Bernard De Baets; Frank Devlieghere (Comput. Ind., 2017)

The digitization of a food package's life cycle: Existing and emerging computer systems in the logistics and post-logistics phase. - Mike Vanderroost; Peter Ragaert; Jan Verwaeren; Bruno De Meulenaer; Bernard De Baets; Frank Devlieghere (Comput. Ind., 2017)

Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment. - Joris Van den Bossche; Bernard De Baets; Jan Verwaeren; Dick Botteldooren; Jan Theunis (Environ. Model. Softw., 2018)

Integrating expert and novice evaluations for augmenting ordinal regression models. - Marc Sader; Jan Verwaeren; Raúl Pérez-Fernández; Bernard De Baets (Inf. Fusion, 2019)

SmartWoodID - an image collection of large end-grain surfaces to support wood identification systems. - Ruben De Blaere; Kévin Lievens; Dieter Van Hassel; Victor Deklerck; Tom De Mil; Wannes Hubau; Joris Van Acker; Nils Bourland; Jan Verwaeren; Jan Van den Bulcke; Hans Beeckman (Database J. Biol. Databases Curation, 2023)

Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata. - Arne Deloose; Glenn Gysels; Bernard De Baets; Jan Verwaeren (Comput. Ind., 2023)

Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. - Kallil M. C. Zielinski; Leonardo F. S. Scabini; Lucas Correia Ribas; Núbia Rosa da Silva; Hans Beeckman; Jan Verwaeren; Odemir M. Bruno; Bernard De Baets (Comput. Electron. Agric., 2025)

Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking. - Maarten Perneel; Ines Adriaens; Ben Aernouts; Jan Verwaeren (CoRR, 2025)