Bruce G. Marcot
Ecology · 2006–2020
A researcher in the Science corpus: 9 papers; trusts 34 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 28 citations into it; #1,875 of 10,717 by trust here, #5,833 by citations
- Artificial Intelligence — 27 citations into it
- Statistics and Probability — 15 citations into it
- Global and Planetary Change — 12 citations into it; #7,173 of 10,225 by trust here, #8,219 by citations
- Nature and Landscape Conservation — 9 citations into it; #1,063 of 6,941 by trust here, #2,947 by citations
- Ecological Modeling — 6 citations into it; #404 of 2,530 by trust here, #1,130 by citations
- Probabilistic & Bayesian Methods — 5 citations into it; #1,502 of 1,525 by trust here, #1,050 by citations
Whom Bruce G. Marcot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Geisser
- Marc Kéry
- Marco Scutari
- Jonathan L. Ticknor
- Chuong B. Do
- Finn Verner Jensen
- Graeme Cumming
- Kevin P. Murphy
- Norman E. Fenton
- Sylvain Arlot
Who trusts Bruce G. Marcot overall
- T. Atwood
- Anca M. Hanea
- Robert K. Mccann
- David C. Douglas
- Dries Landuyt
- C. Jay
- Leonel Lara-Estrada
- Division on Earth
- Binh Thai Pham
- T. Doherty
Papers from Bruce G. Marcot's perspective
Ordered by how strongly the researchers Bruce G. Marcot trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis? (2020) — 363 citations
- Advances in Bayesian network modelling: Integration of modelling technologies (2019) — 353 citations
- Forecasting the relative influence of environmental and anthropogenic stressors on polar bears (2016) — 111 citations
- Metrics for evaluating performance and uncertainty of Bayesian network models (2012) — 359 citations
- Projected status of the Pacific walrus (Odobenus rosmarus divergens) in the twenty-first century (2011) — 92 citations
- Bayesian networks : a practical guide to applications (2008) — 404 citations
- Bayesian belief networks: applications in ecology and natural resource management (2006) — 394 citations
- Using Bayesian belief networks in adaptive management (2006) — 219 citations
- Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation (2006) — 681 citations