| Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm S Wu, Y Kondo, M Kakimoto, B Yang, H Yamada, I Kuwajima, G Lambard, ... npj Computational Materials 5 (1), 1-11, 2019 | 362 | 2019 |
| Predicting Materials Properties with Little Data Using Shotgun Transfer Learning H Yamada, C Liu, S Wu, Y Koyama, S Ju, J Shiomi, J Morikawa, ... ACS central science 5 (10), 1717-1730, 2019 | 333 | 2019 |
| Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference J Lipková, P Angelikopoulos, S Wu, E Alberts, B Wiestler, C Diehl, ... IEEE transactions on medical imaging 38 (8), 1875-1884, 2019 | 153 | 2019 |
| Robust Bayesian compressive sensing for signals in structural health monitoring Y Huang, JL Beck, S Wu, H Li Computer‐Aided Civil and Infrastructure Engineering 29 (3), 160-179, 2014 | 152 | 2014 |
| Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery Y Huang, JL Beck, S Wu, H Li Probabilistic Engineering Mechanics 46, 62-79, 2016 | 95 | 2016 |
| Data augmentation in microscopic images for material data mining B Ma, X Wei, C Liu, X Ban, H Huang, H Wang, W Xue, S Wu, M Gao, ... npj Computational Materials 6 (1), 1-9, 2020 | 94 | 2020 |
| General network reliability problem and its efficient solution by Subset Simulation KM Zuev, S Wu, JL Beck Probabilistic Engineering Mechanics 40, 25-35, 2015 | 94 | 2015 |
| Constructing quasi-site-specific multivariate probability distribution using hierarchical Bayesian model J Ching, S Wu, KK Phoon Journal of Engineering Mechanics 147 (10), 04021069, 2021 | 89 | 2021 |
| Bayesian Annealed Sequential Importance Sampling: An Unbiased Version of Transitional Markov Chain Monte Carlo S Wu, P Angelikopoulos, C Papadimitriou, P Koumoutsakos ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2018 | 69 | 2018 |
| Exploring diamondlike lattice thermal conductivity crystals via feature-based transfer learning S Ju, R Yoshida, C Liu, S Wu, K Hongo, T Tadano, J Shiomi Physical Review Materials 5 (5), 053801, 2021 | 59 | 2021 |
| A hierarchical Bayesian framework for force field selection in molecular dynamics simulations S Wu, P Angelikopoulos, C Papadimitriou, R Moser, P Koumoutsakos Phil. Trans. R. Soc. A 374 (2060), 20150032, 2016 | 57 | 2016 |
| Earthquake early warning application to buildings MH Cheng, S Wu, TH Heaton, JL Beck Engineering Structures 60, 155-164, 2014 | 45 | 2014 |
| Bayesian Algorithm for Retrosynthesis Z Guo, S Wu, M Ohno, R Yoshida Journal of Chemical Information and Modeling 60 (10), 4474-4486, 2020 | 42 | 2020 |
| Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans Y Toyoshima, S Wu, M Kanamori, H Sato, MS Jang, S Oe, Y Murakami, ... BMC biology 18 (1), 1-20, 2020 | 40 | 2020 |
| Virtual Inspector and its application to immediate pre-event and post-event earthquake loss and safety assessment of buildings J Mitrani-Resier, S Wu, JL Beck Natural Hazards 81 (3), 1861-1878, 2016 | 40 | 2016 |
| Hierarchical Stochastic Model in Bayesian Inference for Engineering Applications: Theoretical Implications and Efficient Approximation S Wu, P Angelikopoulos, JL Beck, P Koumoutsakos ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2019 | 39 | 2019 |
| ePAD: Earthquake Probability‐Based Automated Decision‐Making Framework for Earthquake Early Warning S Wu, JL Beck, TH Heaton Computer‐Aided Civil and Infrastructure Engineering 28 (10), 737-752, 2013 | 38 | 2013 |
| Fusing heterogeneous data for the calibration of molecular dynamics force fields using hierarchical Bayesian models S Wu, P Angelikopoulos, G Tauriello, C Papadimitriou, P Koumoutsakos The Journal of Chemical Physics 145 (24), 2016 | 37 | 2016 |
| iQSPR in XenonPy: A Bayesian Molecular Design Algorithm S Wu, G Lambard, C Liu, H Yamada, R Yoshida Molecular Informatics 39 (1-2), 1900107, 2020 | 35 | 2020 |
| Recovering compressed images for automatic crack segmentation using generative models Y Huang, H Zhang, H Li, S Wu Mechanical Systems and Signal Processing 146, 107061, 2021 | 33 | 2021 |
Ryo YoshidaThe Institute of Statistical MathematicsZweryfikowany adres z ism.ac.jp
