| A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization M Binois, N Wycoff ACM Transactions on Evolutionary Learning and Optimization 2 (2), 1-26, 2022 | 144 | 2022 |
| Sequential learning of active subspaces N Wycoff, M Binois, SM Wild Journal of Computational and Graphical Statistics 30 (4), 1224-1237, 2021 | 35 | 2021 |
| Be the data: Embodied visual analytics X Chen, JZ Self, L House, J Wenskovitch, M Sun, N Wycoff, JR Evia, ... IEEE Transactions on Learning Technologies 11 (1), 81-95, 2017 | 31 | 2017 |
| Interactive visual analytics for sensemaking with big text M Dowling, N Wycoff, B Mayer, J Wenskovitch, L House, N Polys, C North, ... Big Data Research 16, 49-58, 2019 | 22 | 2019 |
| Triangulation candidates for Bayesian optimization RB Gramacy, A Sauer, N Wycoff Advances in Neural Information Processing Systems 35, 35933-35945, 2022 | 21 | 2022 |
| Big text visual analytics in sensemaking L Bradel, N Wycoff, L House, C North 2015 Big Data Visual Analytics (BDVA), 1-8, 2015 | 17 | 2015 |
| Sensitivity prewarping for local surrogate modeling N Wycoff, M Binois, RB Gramacy Technometrics, 2022 | 10 | 2022 |
| Forecasting Ukrainian refugee flows with organic data sources N Wycoff, A Arab, K Donato, L Singh, K Kawintiranon, Y Liu, E Jacobs International Migration Review 59 (1), 37-60, 2025 | 7 | 2025 |
| Using organic data in migration research K Donato, E Jacobs, L Singh, A Arab, N Wycoff International Migration Review, 01979183231193627, 2024 | 3 | 2024 |
| An Orobanche cernua x Orobanche cumana segregating population provides insight into the regulation of germination specificity in a parasitic plant H Larose, D Plakhine, N Wycoff, N Zhang, C Conn, DC Nelson, ... bioRxiv, 2022.03. 22.485355, 2022 | 3 | 2022 |
| Understanding who uses Twitter: State-level estimates of those on Twitter M Jackson, J McKinstry, C McPhee, T Raghunathan, L Singh, M Traugott, ... MOSAIC Methods Brief: November 2021. Measuring Online Social Attitudes and …, 2021 | 3 | 2021 |
| Neko: a library for exploring neuromorphic learning rules Z Zhao, N Wycoff, N Getty, R Stevens, F Xia International Conference on Neuromorphic Systems 2021, 1-5, 2021 | 3 | 2021 |
| Sparse Bayesian Lasso via a Variable-Coefficient Penalty N Wycoff, A Arab, KM Donato, LO Singh arXiv preprint arXiv:2211.05089, 2022 | 2 | 2022 |
| The digital trail of Ukraine’s 2022 refugee exodus N Wycoff, LO Singh, A Arab, KM Donato, H Marahrens Journal of Computational Social Science 7 (2), 2147-2193, 2024 | 1 | 2024 |
| Surrogate Active Subspaces for Jump-Discontinuous Functions N Wycoff International Conference on Artificial Intelligence and Statistics, 4618-4626, 2024 | 1 | 2024 |
| Voronoi candidates for Bayesian optimization N Wycoff, JW Smith, AS Booth, RB Gramacy arXiv preprint arXiv:2402.04922, 2024 | 1 | 2024 |
| Gradient-Based Sensitivity Analysis with Kernels NB Wycoff Virginia Tech, 2021 | 1 | 2021 |
| Neuromorphic acceleration for approximate bayesian inference on neural networks via permanent dropout N Wycoff, P Balaprakash, F Xia Proceedings of the International Conference on Neuromorphic Systems, 1-4, 2019 | 1 | 2019 |
| Uncertainty in Interactive WMDS Visualizations L Kodali, J Wenskovitch, N Wycoff, L House, C North Proc. Symp. Vis. Data Sci. Posters VDS'19, 2019 | 1 | 2019 |
| Proximal Iteration for Nonlinear Adaptive Lasso N Wycoff, LO Singh, A Arab, KM Donato arXiv preprint arXiv:2412.05726, 2024 | | 2024 |
