| scikit-optimize/scikit-optimize: v0. 5.2 T Head, GL MechCoder, I Shcherbatyi Version v0 5, 2018 | 188 | 2018 |
| 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 | 76 | 2020 |
| Constrained Bayesian optimization with max-value entropy search V Perrone, I Shcherbatyi, R Jenatton, C Archambeau, M Seeger arXiv preprint arXiv:1910.07003, 2019 | 42 | 2019 |
| fcharras, Z. Vinícius, cmmalone, C. Schröder, nel215, N T Head, GL MechCoder, I Shcherbatyi Campos, T. Young, S. Cereda, T. Fan, rene-rex, K. Shi, J. Schwabedal …, 2018 | 29 | 2018 |
| scikit-optimize/scikit-optimize: v0. 5.2; 2018 T Head, GL MechCoder, I Shcherbatyi URL https://doi. org/10.5281/zenodo 1207017, 2018 | 20 | 2018 |
| 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 | 19 | 2021 |
| scikit-optimize/scikit-optimize (v0. 9.0) T Head, M Kumar, H Nahrstaedt, G Louppe, I Shcherbatyi Zenodo. Available online: https://zenodo. org/record/5565057#. Y8Y-iRVBxPY …, 2021 | 15 | 2021 |
| 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 | 14 | 2020 |
| A Data-analytical System to Predict Therapy Success for Obese Children N Öksüz, I Shcherbatyi, T Kowatsch, W Maass | 13 | 2018 |
| Gazedpm: Early integration of gaze information in deformable part models I Shcherbatyi, A Bulling, M Fritz arXiv preprint arXiv:1505.05753, 2015 | 11 | 2015 |
| fcharras,; Vinícius, Z.; cmmalone,; Schröder, C.; nel215 I Shcherbatyi Campos, N. et al. Scikit-Optimize/Scikit-Optimize, 0 | 10 | |
| scikit-optimize/scikit-optimize, Version v0. 9.0 T Head, M Kumar, H Nahrstaedt, G Louppe, I Shcherbatyi | 8 | 2021 |
| Scikit-Optimize, 2017 T Head, N Campos, M Cherti, A Fabisch, T Fan, M Kumar, G Louppe, ... URL http://scikit-optimize. github. io, 0 | 8 | |
| Convexification of learning from constraints I Shcherbatyi, B Andres Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016 | 6 | 2016 |
| scikit-optimize/scikit-optimize: v0. 5.2. Zenodo; 2018 T Head, GL MechCoder, I Shcherbatyi, A Fabisch | 6 | |
| Healthcare ACC Liu, OMK Law, I Law Wiley-IEEE Press, 2022 | 5 | 2022 |
| Inductive discovery by machine learning for identification of structural models W Maass, I Shcherbatyi Conceptual Modeling: 37th International Conference, ER 2018, Xi'an, China …, 2018 | 5 | 2018 |
| Measuring biosignals of overweight and obese children for real-time feedback and predicting performance N Öksüz, R Biswas, I Shcherbatyi, W Maass Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2017, 185-193, 2018 | 5 | 2018 |
| Real-time decision making with smart farming services W Maaß, I Shcherbatyi, S Marquardt Proc. of 75th International Conference on Agricultural Engineering (AgEng), 2017 | 5 | 2017 |
| scikit-optimize/scikit-optimize, October 2021 T Head, M Kumar, H Nahrstaedt, G Louppe, I Shcherbatyi URL https://doi. org/10.5281/zenodo 5565057, 14, 0 | 5 | |
Valerio PerroneApplied Science Manager, AmazonBestätigte E-Mail-Adresse bei amazon.com
