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2020 – today
- 2024
[i1]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:
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. CoRR abs/2404.08585 (2024)- 2023
- [j13]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:
SmartWoodID - an image collection of large end-grain surfaces to support wood identification systems. Database J. Biol. Databases Curation 2023 (2023) - [j12]Arne Deloose, Glenn Gysels, Bernard De Baets, Jan Verwaeren:
Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata. Comput. Ind. 145: 103830 (2023)
2010 – 2019
- 2019
- [j11]Marc Sader, Jan Verwaeren, Raúl Pérez-Fernández, Bernard De Baets:
Integrating expert and novice evaluations for augmenting ordinal regression models. Inf. Fusion 51: 1-9 (2019) - 2018
- [j10]Joris Van den Bossche, Bernard De Baets, Jan Verwaeren, Dick Botteldooren, Jan Theunis:
Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment. Environ. Model. Softw. 99: 58-69 (2018) - 2017
- [j9]Mike Vanderroost, Peter Ragaert, Jan Verwaeren, Bruno De Meulenaer, Bernard De Baets, Frank Devlieghere:
The digitization of a food package's life cycle: Existing and emerging computer systems in the pre-logistics phase. Comput. Ind. 87: 1-14 (2017) - [j8]Mike Vanderroost, Peter Ragaert, Jan Verwaeren, Bruno De Meulenaer, Bernard De Baets, Frank Devlieghere:
The digitization of a food package's life cycle: Existing and emerging computer systems in the logistics and post-logistics phase. Comput. Ind. 87: 15-30 (2017) - 2015
- [j7]Laura Giustarini, Hilde Vernieuwe, Jan Verwaeren, Marco Chini, Renaud Hostache, Patrick Matgen, Niko E. C. Verhoest, Bernard De Baets:
Accounting for image uncertainty in SAR-based flood mapping. Int. J. Appl. Earth Obs. Geoinformation 34: 70-77 (2015) - [j6]Jan Verwaeren, Pieter Van der Weeën, Bernard De Baets:
A search grid for parameter optimization as a byproduct of model sensitivity analysis. Appl. Math. Comput. 261: 8-27 (2015) - [j5]Jan Verwaeren, Michaël Rademaker, Bernard De Baets:
An interval estimator for the unmixing of mixtures with set-based source descriptions. Int. J. Approx. Reason. 60: 71-92 (2015) - 2013
- [j4]Jan Verwaeren, Karolien Scheerlinck, Bernard De Baets:
Countering the negative search bias of ant colony optimization in subset selection problems. Comput. Oper. Res. 40(4): 931-942 (2013) - [j3]Shinji Fukuda, Bernard De Baets, Willem Waegeman, Jan Verwaeren, Ans M. Mouton:
Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models. Environ. Model. Softw. 47: 1-6 (2013) - 2012
- [j2]Jan Verwaeren, Willem Waegeman, Bernard De Baets:
Learning partial ordinal class memberships with kernel-based proportional odds models. Comput. Stat. Data Anal. 56(4): 928-942 (2012) - 2011
- [j1]Willem Waegeman, Jan Verwaeren, Bram Slabbinck, Bernard De Baets:
Supervised learning algorithms for multi-class classification problems with partial class memberships. Fuzzy Sets Syst. 184(1): 106-125 (2011)
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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