Steve Kelling
Ecology · 2009–2021
A researcher in the Science corpus: 9 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Ecology — 64 citations into it
- Ecological Modeling — 56 citations into it
- Nature and Landscape Conservation — 43 citations into it
- Statistics and Probability — 18 citations into it
- Signal Processing — 11 citations into it; #7,029 of 7,572 by trust here, #6,836 by citations
- Artificial Intelligence — 10 citations into it
- Statistical Learning Theory — 6 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Steve Kelling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bradley Efron
- Robert Tibshirani
- Jerome H. Friedman
- Alan Y. Chiang
- James Franklin
- Justin Salamon
- Giles Hooker
- R. Gardner
- Juan Pablo Bello
- Diederik P. Kingma
Who trusts Steve Kelling overall
Papers from Steve Kelling's perspective
Ordered by how strongly the researchers Steve Kelling trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Random Forests
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Greedy function approximation: A gradient boosting machine.
- Dynamic Filter Networks
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Deformable Convolutional Networks
- Long Short-Term Memory
Their papers
- The eBird enterprise: An integrated approach to development and application of citizen science (2014) — 1,001 citations
- Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions (2021) — 279 citations
- Robust sound event detection in bioacoustic sensor networks (2019) — 104 citations
- Novel seasonal land cover associations for eastern North American forest birds identified through dynamic species distribution modelling (2016) — 126 citations
- The role of atmospheric conditions in the seasonal dynamics of North American migration flyways (2014) — 136 citations
- Data-intensive science applied to broad-scale citizen science. (2012) — 379 citations
- Citizen Science: A Developing Tool for Expanding Science Knowledge and Scientific Literacy (2009) — 2,288 citations
- eBird: A citizen-based bird observation network in the biological sciences (2009) — 1,985 citations
- Data-Intensive Science: A New Paradigm for Biodiversity Studies (2009) — 334 citations