Biovism Lab

Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking

Maarten Perneel, Ines Adriaens, Jan Verwaeren, Ben Aernouts

Dynamic Multi-Behaviour, Orientation-Invariant Re-Identification of Holstein-Friesian Cattle

Maarten Perneel, Ines Adriaens, Jan Verwaeren, Ben Aernouts

Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion

Kallil M Zielinski, Leonardo Scabini, Lucas C Ribas, Núbia R da Silva, Hans Beeckman, Jan Verwaeren, Odemir M Bruno, Bernard De Baets

A deep learning approach to perform defect classification of freeze-dried product

Quentin Herve, Nusret Ipek, Jan Verwaeren, Thomas De Beer

Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networks

Manuel Borja, Jens Dhondt, Johny Bertels, Daan Van Hauwermeiren, Jan Verwaeren

Automated particle inspection of continuously freeze-dried products using computer vision

Quentin Herve, Nusret Ipek, Jan Verwaeren, Thomas De Beer

Cage enrichment to minimize aggression in part-time group-housed female breeding rabbits

Liesbeth G. W. Van Damme, Nusret Ipek, Jan Verwaeren, Evelyne Delezie, Frank A. M. Tuyttens

Towards good modelling practice for parallel hybrid models for wastewater treatment processes

Loes Verhaeghe, Jan Verwaeren, Gamze Kirim, Saba Daneshgar, Peter A. Vanrolleghem, Elena Torfs

Bayesian cell therapy process optimization

Evan Claes, Tommy Heck, Kathleen Coddens, Maarten Sonnaert, Jan Schrooten, Jan Verwaeren

Data-driven prediction of dairy cattle lifetime production and its use as a guideline to select surplus youngstock

Maarten Perneel, Stefaan De Smet, Jan Verwaeren

Quantifying agonistic interactions between group-housed animals to derive social hierarchies using computer vision: a case study with commercially group-housed rabbits

Nusret Ipek, Liesbeth G. W. Van Damme, Frank A. M. Tuyttens, Jan Verwaeren

Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata

Arne Deloose, Glenn Gysels, Bernard De Baets, Jan Verwaeren

Comparing a product-specific versus a general emoji list to measure consumers’ emotional associations with chocolate and predict food choice

Joachim J. Schouteten, Jan Verwaeren, Listia Rini, Valérie L. Almli

Predicting the hydrodynamic properties of a bioreactor: Conditional density estimation as a surrogate model for CFD simulations

Umut Kaya, Srikanth Gopireddy, Nora Urbanetz, Ingmar Nopens, Jan Verwaeren

Uncovering new insights and misconceptions on the effectiveness of phosphate solubilizing rhizobacteria in plants: a meta-analysis

Noémie De Zutter, Maarten Ameye, Boris Bekaert, Jan Verwaeren, Leen De Gelder, Kris Audenaert

Improved Wood Species Identification Based On Multi-View Imagery of The Three Anatomical Planes

Noémie De Zutter, Maarten Ameye, Jane Debode, Caroline De Tender, Sarah Ommeslag, Jan Verwaeren, Pieter Vermeir, Kris Audenaert, Leen De Gelder

Shifts in the rhizobiome during consecutive in planta enrichment for phosphate-solubilizing bacteria differentially affect maize P status