Jochem Verrelst
Ecology · 2006–2020
A researcher in the Science corpus: 10 papers; trusts 26 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 207 citations into it; #3,177 of 10,717 by trust here, #1,473 by citations
- Plant Science — 108 citations into it; #6,551 of 8,232 by trust here, #2,917 by citations
- Global and Planetary Change — 97 citations into it; #6,474 of 10,225 by trust here, #3,540 by citations
- Environmental Engineering — 87 citations into it; #3,198 of 5,479 by trust here, #1,260 by citations
- Analytical Chemistry — 41 citations into it
- Artificial Intelligence — 26 citations into it
- Ecological Modeling — 24 citations into it
- Media Technology — 20 citations into it
Whom Jochem Verrelst trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Clement Atzberger
- Leo Breiman
- Guerric le Maire
- Andrew K. Skidmore
- Alex Smola
- Robert Tibshirani
- Moses Azong Cho
- Cédric Bacour
- Johan A. K. Suykens
- Jan G. P. W. Clevers
Who trusts Jochem Verrelst overall
- Katja Berger
- Jean-Baptiste F'eret
- Valerie C. E. Laurent
- Michael E. Schaepman
- Gustau Camps-Valls
- Jan G. P. W. Clevers
- Juan Pablo Rivera
- Sylvain Jay
- Lukas Roth
- Jordi Muñoz-Marí
Papers from Jochem Verrelst's perspective
Ordered by how strongly the researchers Jochem Verrelst trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Random Forests
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- The Elements of Statistical Learning
Their papers
- Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions (2020) — 374 citations
- Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods (2018) — 462 citations
- Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison (2015) — 363 citations
- Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015) — 709 citations
- A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems (2013) — 295 citations
- Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3 (2012) — 515 citations
- Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content (2011) — 606 citations
- Earth system science related imaging spectroscopy — an assessment (2009) — 364 citations
- Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data (2008) — 345 citations
- Grazing lawns contribute to the subsistence of mesoherbivores on dystrophic savannas (2006) — 118 citations