Optimized data fusion for kernel k-means clustering S Yu, L Tranchevent, X Liu, W Glanzel, JAK Suykens, B De Moor, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (5), 1031-1039, 2011 | 309 | 2011 |
E ndeavour update: a web resource for gene prioritization in multiple species LC Tranchevent, R Barriot, S Yu, S Van Vooren, P Van Loo, B Coessens, ... Nucleic acids research 36 (suppl_2), W377-W384, 2008 | 279 | 2008 |
L2-norm multiple kernel learning and its application to biomedical data fusion S Yu, T Falck, A Daemen, LC Tranchevent, JAK Suykens, B De Moor, ... BMC bioinformatics 11, 1-24, 2010 | 148 | 2010 |
Weighted hybrid clustering by combining text mining and bibliometrics on a large‐scale journal database X Liu, S Yu, F Janssens, W Glänzel, Y Moreau, B De Moor Journal of the American Society for Information Science and Technology 61 (6 …, 2010 | 95 | 2010 |
Kernel-based data fusion for machine learning S Yu, LC Tranchevent, B De Moor, Y Moreau Studies in Computational Intelligence: Springer Berlin Heidelberg, 2011 | 79 | 2011 |
Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining S Yu, S Van Vooren, LC Tranchevent, B De Moor, Y Moreau Bioinformatics 24 (16), i119-i125, 2008 | 68 | 2008 |
Gene prioritization and clustering by multi-view text mining S Yu, LC Tranchevent, B De Moor, Y Moreau BMC bioinformatics 11, 1-22, 2010 | 56 | 2010 |
Hybrid clustering of text mining and bibliometrics applied to journal sets X Liu, S Yu, Y Moreau, B De Moor, W Glänzel, F Janssens Proceedings of the 2009 SIAM international conference on data mining, 49-60, 2009 | 49 | 2009 |
AVA: A financial service chatbot based on deep bidirectional transformers S Yu, Y Chen, H Zaidi Frontiers in Applied Mathematics and Statistics 7, 604842, 2021 | 44 | 2021 |
Clustering by heterogeneous data fusion: framework and applications S Yu, BD Moor, Y Moreau NIPS workshop, 2009 | 29 | 2009 |
Optimized data fusion for K-means Laplacian clustering S Yu, LC Tranchevent, B De Moor, Y Moreau Kernel-based Data Fusion for Machine Learning, 145-172, 2011 | 24 | 2011 |
Learning risk preferences from investment portfolios using inverse optimization S Yu, H Wang, C Dong Research in International Business and Finance 64, 101879, 2023 | 23 | 2023 |
Predicting self-reported customer satisfaction of interactions with a corporate call center J Bockhorst, S Yu, L Polania, G Fung Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 21 | 2017 |
Robo-advising: Enhancing investment with inverse optimization and deep reinforcement learning H Wang, S Yu 2021 20th IEEE international conference on machine learning and applications …, 2021 | 14 | 2021 |
Learning with heterogenous data sets by weighted multiple kernel canonical correlation analysis S Yu, B De Moor, Y Moreau 2007 IEEE Workshop on Machine Learning for Signal Processing, 81-86, 2007 | 10 | 2007 |
Named entity recognition through deep representation learning and weak supervision J Parker, S Yu Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 8 | 2021 |
Learning time varying risk preferences from investment portfolios using inverse optimization with applications on mutual funds S Yu, Y Chen, C Dong arXiv preprint ArXiv:2010.01687, 2020 | 8 | 2020 |
Kernel-based data fusion for machine learning: Methods and applications in bioinformatics and text mining S Yu, LC Tranchevent, B Moor, M Yves (No Title), 2009 | 8 | 2009 |
Survival Prediction in Lung Cancer Treated with Radiotherapy A Dekker, CD Oberije, A Hope, K Komati, G Fung, S Yu, WD Neve, ... IEEE 54 (1), 2018 | 2 | 2018 |
Development, external validation and further improvement of a prediction model for survival of non-small cell lung cancer patients treated with (Chemo) radiotherapy S Yu, C Dehing-Oberije, D De Ruysscher, K Van Beek, Y Lievens, ... International Journal of Radiation Oncology, Biology, Physics 72 (1), S60, 2008 | 2 | 2008 |