| Adversarial Robustness Toolbox v1. 0.0 MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ... arXiv preprint arXiv:1807.01069, 2018 | 692 | 2018 |
| Ibm federated learning: an enterprise framework white paper v0. 1 H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ... arXiv preprint arXiv:2007.10987, 2020 | 183 | 2020 |
| Ordinal analysis of time series K Keller, M Sinn Physica A: Statistical Mechanics and its Applications 356 (1), 114-120, 2005 | 150 | 2005 |
| One button machine for automating feature engineering in relational databases HT Lam, JM Thiebaut, M Sinn, B Chen, T Mai, O Alkan arXiv preprint arXiv:1706.00327, 2017 | 120 | 2017 |
| Defining the quantitative limits of intravital two-photon lymphocyte tracking J Textor, A Peixoto, SE Henrickson, M Sinn, UH Von Andrian, ... Proceedings of the National Academy of Sciences 108 (30), 12401-12406, 2011 | 83 | 2011 |
| Improved electricity load forecasting via kernel spectral clustering of smart meters C Alzate, M Sinn 2013 IEEE 13th International Conference on Data Mining, 943-948, 2013 | 82 | 2013 |
| Predicting arrival times of buses using real-time GPS measurements M Sinn, JW Yoon, F Calabrese, E Bouillet 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 80 | 2012 |
| Fat: Federated adversarial training G Zizzo, A Rawat, M Sinn, B Buesser arXiv preprint arXiv:2012.01791, 2020 | 71 | 2020 |
| Time series from the ordinal viewpoint K Keller, M Sinn, J Emonds Stochastics and Dynamics 7 (02), 247-272, 2007 | 66 | 2007 |
| Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots B Chen, F Pinelli, M Sinn, A Botea, F Calabrese 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 64 | 2013 |
| Kolmogorov–Sinai entropy from the ordinal viewpoint K Keller, M Sinn Physica D: Nonlinear Phenomena 239 (12), 997-1000, 2010 | 59 | 2010 |
| Estimation of arrival times at transit stops EP Bouillet, F Calabrese, F Pinelli, M Sinn, JW Yoon US Patent 9,183,741, 2015 | 58 | 2015 |
| Adaptive learning of smoothing functions: Application to electricity load forecasting A Ba, M Sinn, Y Goude, P Pompey Advances in neural information processing systems 25, 2012 | 55 | 2012 |
| Estimation of ordinal pattern probabilities in Gaussian processes with stationary increments M Sinn, K Keller Computational Statistics & Data Analysis 55 (4), 1781-1790, 2011 | 55 | 2011 |
| Ordinal analysis of EEG time series K Keller, H Lauffer, M Sinn Chaos and Complexity Letters 2, 247-258, 2007 | 39 | 2007 |
| Adversarial Robustness Toolbox v1. 0.0. arXiv 2018 MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ... arXiv preprint arXiv:1807.01069, 1807 | 34 | 1807 |
| Detecting change-points in time series by maximum mean discrepancy of ordinal pattern distributions M Sinn, A Ghodsi, K Keller arXiv preprint arXiv:1210.4903, 2012 | 33 | 2012 |
| Automated image data preprocessing with deep reinforcement learning TN Minh, M Sinn, HT Lam, M Wistuba arXiv preprint arXiv:1806.05886, 2018 | 31 | 2018 |
| Forecasting Uncertainty in Electricity Demand. TK Wijaya, M Sinn, B Chen AAAI Workshop: Computational Sustainability, 2015 | 28 | 2015 |
| A standardized approach to the Kolmogorov–Sinai entropy K Keller, M Sinn Nonlinearity 22 (10), 2417, 2009 | 25 | 2009 |
Bei ChenAmazon Alexa AI確認したメール アドレス: amazon.de
