| Phenology of nocturnal avian migration has shifted at the continental scale KG Horton, FA La Sorte, D Sheldon, TY Lin, K Winner, G Bernstein, S Maji, ... Nature Climate Change 10 (1), 63-68, 2020 | 150 | 2020 |
| Statistical inference for home range overlap K Winner, MJ Noonan, CH Fleming, KA Olson, T Mueller, D Sheldon, ... Methods in Ecology and Evolution 9 (7), 1679-1691, 2018 | 104 | 2018 |
| MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks TY Lin, K Winner, G Bernstein, A Mittal, AM Dokter, KG Horton, C Nilsson, ... Methods in Ecology and Evolution 10 (11), 1908-1922, 2019 | 84 | 2019 |
| Species distribution modeling for machine learning practitioners: A review S Beery, E Cole, J Parker, P Perona, K Winner Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable …, 2021 | 83 | 2021 |
| A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA A Farnsworth, BM Van Doren, WM Hochachka, D Sheldon, K Winner, ... Ecological Applications 26 (3), 752-770, 2016 | 75 | 2016 |
| Migration timing and its determinants for nocturnal migratory birds during autumn migration FA La Sorte, WM Hochachka, A Farnsworth, D Sheldon, D Fink, ... Journal of Animal Ecology 84 (5), 1202-1212, 2015 | 73 | 2015 |
| Global and national trends, gaps, and opportunities in documenting and monitoring species distributions RY Oliver, C Meyer, A Ranipeta, K Winner, W Jetz PLoS Biology 19 (8), e3001336, 2021 | 65 | 2021 |
| A unifying framework for quantifying and comparing n‐dimensional hypervolumes M Lu, K Winner, W Jetz Methods in Ecology and Evolution 12 (10), 1953-1968, 2021 | 26 | 2021 |
| Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable L Gábor, W Jetz, A Zarzo‐Arias, K Winner, S Yanco, S Pinkert, CJ Marsh, ... Ecography 2023 (6), e06358, 2023 | 12 | 2023 |
| Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation PB Newcombe, C Nilsson, TY Lin, K Winner, G Bernstein, S Maji, ... Biology letters 15 (9), 20190383, 2019 | 12 | 2019 |
| A weather surveillance radar view of Alaskan avian migration AH Sivakumar, D Sheldon, K Winner, CS Burt, KG Horton Proceedings of the Royal Society B 288 (1950), 20210232, 2021 | 10 | 2021 |
| Statistical inference for home range overlap. Methods Ecol Evol 9: 1679–1691 K Winner, MJ Noonan, CH Fleming, KA Olson, T Mueller, D Sheldon, ... | 9 | 2018 |
| Probabilistic inference with generating functions for Poisson latent variable models K Winner, DR Sheldon Advances in Neural Information Processing Systems 29, 2016 | 8 | 2016 |
| Learning to interpret natural language instructions M Babeş-Vroman, J MacGlashan, R Gao, K Winner, R Adjogah, M Littman, ... Proceedings of the Second Workshop on Semantic Interpretation in an …, 2012 | 8 | 2012 |
| Controlling particle swarm optimization with learned parameters K Winner, D Miner 2009 Third IEEE International Conference on Self-Adaptive and Self …, 2009 | 8 | 2009 |
| The potential of ecoregional range maps for boosting taxonomic coverage in ecology and conservation S Pinkert, YV Sica, K Winner, W Jetz Ecography 2023 (12), e06794, 2023 | 6 | 2023 |
| Exact inference for integer latent-variable models K Winner, D Sujono, D Sheldon International Conference on Machine Learning, 3761-3770, 2017 | 6 | 2017 |
| Inference in a partially observed queuing model with applications in ecology K Winner, G Bernstein, D Sheldon International Conference on Machine Learning, 2512-2520, 2015 | 6 | 2015 |
| Continuous-time movement modeling CH Fleming, JM Calabrese, X Dong, K Winner, G Péron, MJ Noonan, ... R Package Version 0.5 7, 2019 | 5 | 2019 |
| Learning in integer latent variable models with nested automatic differentiation D Sheldon, K Winner, D Sujono International Conference on Machine Learning, 4615-4623, 2018 | 4 | 2018 |
