De Baets, Bernard

7 publications

MLJ 2025 Raising the Numbers: Multi-Generation Adversarial Attack and Frequency-Based Defense for Heightened NLP Security Salim Khemis, Yacine Amara, Mohamed Akrem Benatia, Ishak Messalti, Mohammed Elamin Ilyas Khanous, Bernard De Baets

MLJ 2022 Multi-Target Prediction for Dummies Using Two-Branch Neural Networks Dimitrios Iliadis, Bernard De Baets, Willem Waegeman

ICCV 2017 Blob Reconstruction Using Unilateral Second Order Gaussian Kernels with Application to High-ISO Long-Exposure Image Denoising Gang Wang, Carlos Lopez-Molina, Bernard De Baets

ECML-PKDD 2014 A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman

MLJ 2013 Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman

ECML-PKDD 2010 Conditional Ranking on Relational Data Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets

ECML-PKDD 2010 Predicting Partial Orders: Ranking with Abstention Weiwei Cheng, Michaël Rademaker, Bernard De Baets, Eyke Hüllermeier