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Willem Waegeman
- > Home > Persons > Willem Waegeman
Publications
- 2020
- [j26]Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets:
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference. Briefings Bioinform. 21(1): 262-271 (2020) - 2018
- [j23]Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression. Neural Comput. 30(8) (2018) - [i10]Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression. CoRR abs/1803.01575 (2018) - 2016
- [i8]Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. CoRR abs/1606.04275 (2016) - 2015
- [i6]Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman:
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. CoRR abs/1506.05950 (2015) - 2014
- [j18]Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
Identification of Functionally Related Enzymes by Learning-to-Rank Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 1157-1169 (2014) - [c15]Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman:
A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction. ECML/PKDD (2) 2014: 517-532 - [i5]Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
Identification of functionally related enzymes by learning-to-rank methods. CoRR abs/1405.4394 (2014) - [i4]Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman:
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction. CoRR abs/1405.4423 (2014) - 2013
- [j16]Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman:
Efficient regularized least-squares algorithms for conditional ranking on relational data. Mach. Learn. 93(2-3): 321-356 (2013) - 2012
- [j13]Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets:
A Kernel-Based Framework for Learning Graded Relations From Data. IEEE Trans. Fuzzy Syst. 20(6): 1090-1101 (2012) - [i2]Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman:
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data. CoRR abs/1209.4825 (2012) - 2011
- [j11]Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski:
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve. Comput. Stat. Data Anal. 55(4): 1828-1844 (2011) - [c10]Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets:
Learning Valued Relations from Data. Eurofuse 2011: 257-268 - [i1]Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets:
A kernel-based framework for learning graded relations from data. CoRR abs/1111.6473 (2011) - 2010
- [c2]Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets:
Conditional Ranking on Relational Data. ECML/PKDD (2) 2010: 499-514 - [c1]Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski:
A comparison of AUC estimators in small-sample studies. MLSB 2010: 3-13
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