Waegeman Willem

willem.waegeman@ugent.be
@KERMIT, office 110.069
(+32) 9 264.92.00

linkedin logo Waegeman Willem
ORCID logo https://orcid.org/0000-0002-5950-3003
Biblio logoBiblio UGent
Google Scholar logoGoogle Scholar

Research Interests: Machine learning

Journal papers Conference papers

Journal papers

Biblio logo(4) A transitivity analysis of bipartite rankings in pairwise multi-class classification
W. Waegeman and B. De Baets
(2010) INFORMATION SCIENCES. 180, 4099-4117.
Biblio logo(3) On the role of cost-sensitive learning in multi-class brain-computer interfaces
D. Devlaminck, W. Waegeman, B. Wyns, G. Otte and P. Santens
(2010) BIOMEDICAL ENGINEERING. 55, 163-172.
Biblio logo(2) Learning intransitive reciprocal relations with kernel methods
T. Pahikkala, W. Waegeman, E. Tsivtsivadze, T. Salakoski and B. De Baets
(2010) EUROPEAN J. OPER. RES.. 206, 676-685.
Biblio logo(1) From learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification
B. Slabbinck, W. Waegeman, P. Dawyndt, P. De Vos and B. De Baets
(2010) BMC BIOINFORMATICS. 11, 69.

Conference papers

(8) A Genetic Takagi-Sugeno Fuzzy System for Fish Habitat Preference Modelling
S. Fukuda, N. Onikura, B. De Baets, W. Waegeman, A. Mouton, J. Nakajima, T. Mukai
(2010) PROCEEDINGS OF THE WORLD CONGRESS ON NATURE AND BIOLOGICALLY INSPIRED COMPUTING (NABIC).
Kitakyushu, Japan, 281-286. .
(7) From circular ordinal regression to multilabel classification
D. Devlaminck, W. Waegeman, B. Bauwens, B. Wyns, G. Otte, P. Santens
(2010) ECML 2010 WORKSHOP ON PREFERENCE LEARNING.
Barcelona, Spain, 14 pages. .
(6) Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss
K. Dembczynski,, W. Waegeman , W. Cheng and E. Hüllermeier
(2010) EUROPEAN CONFERENCE ON MACHINE LEARNING.
Barcelona, Spain, 280-295. Lecture Notes in Artificial Intelligence Vol. 6322 Part 1.
(5) Conditional Ranking on Relational Data
T. Pahikkala, W. Waegeman, A. Airola, T. Salakoski and B. De Baets
(2010) EUROPEAN CONFERENCE ON MACHINE LEARNING.
Barcelona, Spain, 499-518. Lecture Notes In Artificial Intelligence Vol. 6322 Part 2.
(4) 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. .
(3) On Label Dependence in Multi-label Classification
K. Dembczynski,, W. Waegeman, W. Cheng and E. Hüllermeier
(2010) ICML 2010 WORKSHOP ON LEARNING FROM MULTI-LABEL DATA.
Haifa, Israel, 8 pages. .
(2) 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. .
(1) Directional Predictions for 4-class BCI Data
D. Devlaminck, W. Waegeman, B. Bauwens, B. Wyns, G. Otte, L. Boullart, P. Santens
(2010) EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS.
Bruges, Belgium, 6 pages. .