| Searching molecular structure databases with tandem mass spectra using CSI: FingerID K Dührkop, H Shen, M Meusel, J Rousu, S Böcker Proceedings of the National Academy of Sciences 112 (41), 12580-12585, 2015 | 358 | 2015 |
| Metabolite identification and molecular fingerprint prediction through machine learning M Heinonen, H Shen, N Zamboni, J Rousu Bioinformatics 28 (18), 2333-2341, 2012 | 137 | 2012 |
| Critical assessment of small molecule identification 2016: automated methods EL Schymanski, C Ruttkies, M Krauss, C Brouard, T Kind, K Dührkop, ... Journal of cheminformatics 9 (1), 22, 2017 | 99 | 2017 |
| Metabolite identification through multiple kernel learning on fragmentation trees H Shen, K Dührkop, S Böcker, J Rousu Bioinformatics 30 (12), i157-i164, 2014 | 75 | 2014 |
| Fast metabolite identification with input output kernel regression C Brouard, H Shen, K Dührkop, F d'Alché-Buc, S Böcker, J Rousu Bioinformatics 32 (12), i28-i36, 2016 | 54 | 2016 |
| Metabolite identification through machine learning—Tackling CASMI challenge using fingerID H Shen, N Zamboni, M Heinonen, J Rousu Metabolites 3 (2), 484-505, 2013 | 21 | 2013 |
| Learning search spaces for bayesian optimization: Another view of hyperparameter transfer learning V Perrone, H Shen, MW Seeger, C Archambeau, R Jenatton Advances in Neural Information Processing Systems, 12771-12781, 2019 | 18 | 2019 |
| A quantile-based approach to hyperparameter transfer learning D Salinas, H Shen, V Perrone Advances in Neural Information Processing Systems Workshop on Meta-Learning, 2019 | 5 | 2019 |
| Amazon SageMaker Autopilot: a white box AutoML solution at scale P Das, N Ivkin, T Bansal, L Rouesnel, P Gautier, Z Karnin, L Dirac, ... Proceedings of the Fourth International Workshop on Data Management for End …, 2020 | 4 | 2020 |
| A Copula approach for hyperparameter transfer learning D Salinas, H Shen, V Perrone arXiv preprint arXiv:1909.13595, 2019 | 2 | 2019 |
| Soft kernel target alignment for two-stage multiple kernel learning H Shen, S Szedmak, C Brouard, J Rousu International Conference on Discovery Science, 427-441, 2016 | 2 | 2016 |
| Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization V Perrone, H Shen, A Zolic, I Shcherbatyi, A Ahmed, T Bansal, M Donini, ... arXiv preprint arXiv:2012.08489, 2020 | | 2020 |
| Machine learning for Small Molecule Identification H Shen Aalto University, 2017 | | 2017 |
| Supplementary Material: A Quantile-based Approach for Hyperparameter Transfer Learning D Salinas, H Shen, V Perrone | | |
Juho RousuProfessor, Department of Computer Science, Aalto UniversityVerified email at aalto.fi
