| Predicting exploitation of disclosed software vulnerabilities using open-source data BL Bullough, AK Yanchenko, CL Smith, JR Zipkin Proceedings of the 3rd ACM on International Workshop on Security and Privacy …, 2017 | 113 | 2017 |
| Ultrafast plasmonic control of second harmonic generation RB Davidson, A Yanchenko, JI Ziegler, SM Avanesyan, BJ Lawrie, ... ACS Photonics 3 (8), 1477-1481, 2016 | 25 | 2016 |
| Classical music composition using state space models AK Yanchenko, S Mukherjee arXiv preprint arXiv:1708.03822, 2017 | 13 | 2017 |
| Classical music composition using hidden Markov models A Yanchenko Duke University, 2017 | 11 | 2017 |
| Hierarchical dynamic modelling for individualized Bayesian forecasting AK Yanchenko, DD Deng, J Li, AJ Cron, M West Journal of the Royal Statistical Society Series C: Applied Statistics 72 (1 …, 2023 | 8 | 2023 |
| Multivariate dynamic modeling for Bayesian forecasting of business revenue AK Yanchenko, G Tierney, J Lawson, C Hellmayr, A Cron, M West Applied Stochastic Models in Business and Industry 39 (3), 292-309, 2023 | 7 | 2023 |
| Hierarchical multidimensional scaling for the comparison of musical performance styles AK Yanchenko, PD Hoff The Annals of Applied Statistics 14 (4), 1581-1603, 2020 | 4 | 2020 |
| Network Analysis of Orchestral Concert Programming AK Yanchenko arXiv preprint arXiv:2009.07887, 2020 | 3 | 2020 |
| A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling AK Yanchenko, M Soltani, RJ Ravier, S Mukherjee, V Tarokh arXiv preprint arXiv:2106.00110, 2021 | 2 | 2021 |
| Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models P Pherwani, N Hass, A Yanchenko Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial …, 2024 | | 2024 |
| Hierarchical Time Series Modeling with Business and Audio Applications AK Yanchenko Duke University, 2021 | | 2021 |