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Huibin Shen
Huibin Shen
Adresă de e-mail confirmată pe amazon.com
Titlu
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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
8882015
Metabolite identification and molecular fingerprint prediction through machine learning
M Heinonen, H Shen, N Zamboni, J Rousu
Bioinformatics 28 (18), 2333-2341, 2012
2042012
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, 1-21, 2017
1892017
Metabolite identification through multiple kernel learning on fragmentation trees
H Shen, K Dührkop, S Böcker, J Rousu
Bioinformatics 30 (12), i157-i164, 2014
1232014
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 32, 2019
1112019
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
1002016
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
812020
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
492019
Metabolite identification through machine learning—tackling CASMI challenge using FingerID
H Shen, N Zamboni, M Heinonen, J Rousu
Metabolites 3 (2), 484-505, 2013
372013
Automatic termination for hyperparameter optimization
A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ...
International Conference on Automated Machine Learning, 7/1-21, 2022
262022
Chronos: Learning the language of time series
AF Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, O Shchur, ...
arXiv preprint arXiv:2403.07815, 2024
242024
Amazon sagemaker automatic model tuning: Scalable gradient-free optimization
V Perrone, H Shen, A Zolic, I Shcherbatyi, A Ahmed, T Bansal, M Donini, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
222021
Overfitting in Bayesian optimization: an empirical study and early-stopping solution
A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ...
2nd Workshop on Neural Architecture Search (NAS 2021 collocated with the 9th …, 2021
142021
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 1, 2020
142020
AutoGluon–TimeSeries: AutoML for probabilistic time series forecasting
O Shchur, AC Turkmen, N Erickson, H Shen, A Shirkov, T Hu, B Wang
International Conference on Automated Machine Learning, 9/1-21, 2023
132023
A copula approach for hyperparameter transfer learning
D Salinas, H Shen, V Perrone
52019
Soft kernel target alignment for two-stage multiple kernel learning
H Shen, S Szedmak, C Brouard, J Rousu
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
42016
Obeying the order: introducing ordered transfer hyperparameter optimisation
SP Hellan, H Shen, FX Aubet, D Salinas, A Klein
arXiv preprint arXiv:2306.16916, 2023
32023
Cross-Frequency Time Series Meta-Forecasting
M Van Ness, H Shen, H Wang, X Jin, DC Maddix, K Gopalswamy
arXiv preprint arXiv:2302.02077, 2023
12023
Supplementary Material: A Quantile-based Approach for Hyperparameter Transfer Learning
D Salinas, H Shen, V Perrone
1
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