| Benchmark for filter methods for feature selection in high-dimensional classification data A Bommert, X Sun, B Bischl, J Rahnenführer, M Lang Computational Statistics & Data Analysis, 106839, 2019 | 68 | 2019 |
| Maximum Entropy-Regularized Multi-Goal Reinforcement Learning R Zhao, X Sun, V Tresp Proceedings of the 36th International Conference on Machine Learning, 7553--7562, 2019 | 20 | 2019 |
| A Lesson learned from PMF based approach for Semantic Recommender System N Kushwaha, X Sun, B Singh, OP Vyas Journal of Intelligent Information Systems 50 (3), 441-453, 2018 | 11 | 2018 |
| First investigations on noisy model-based multi-objective optimization D Horn, M Dagge, X Sun, B Bischl International Conference on Evolutionary Multi-Criterion Optimization, 298-313, 2017 | 11 | 2017 |
| ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning X Sun, J Lin, B Bischl Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 6* | 2019 |
| High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions X Sun, A Bommert, F Pfisterer, J Rahnenführer, M Lang, B Bischl Intelligent Systems and Applications, 629--647, 2019 | 6 | 2019 |
| Detecting Chinese calligraphy style consistency by deep learning and one-class SVM Z Jiulong, G Luming, Y Su, S Xudong, L Xiaoshan 2017 2nd International Conference on Image, Vision and Computing (ICIVC), 83-86, 2017 | 6 | 2017 |
| Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning X Sun, B Bischl 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019 | 4* | 2019 |
| Implementation and integration of a systematic DBPM calibration with PLL frequency synthesis and FPGA X Sun, Y Leng Nuclear Science and Techniques 25 (2), 2014 | 4* | 2014 |
| Benchmarking time series classification--Functional data vs machine learning approaches F Pfisterer, L Beggel, X Sun, F Scheipl, B Bischl arXiv preprint arXiv:1911.07511, 2019 | 3 | 2019 |
| Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift X Sun, A Gossmann, Y Wang, B Bischl 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019 | 3* | 2019 |
| Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift A Gossmann, KH Cha, X Sun Medical Imaging 2020: Computer-Aided Diagnosis 11314, 1131404, 2020 | | 2020 |
| Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization X Sun, F Buettner https://arxiv.org/pdf/2101.09436.pdf, 2020 | | 2020 |
| Variational inference based assessment of mammographic lesion classification algorithms under distribution shift A Gossmann, KH Cha, X Sun NeurIPS 2019 workshop: Medical Imaging meets NeurIPS 2019, 2019 | | 2019 |
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
