Jordi Muñoz-Marí
Ecology · 2006–2021
A researcher in the Science corpus: 9 papers; trusts 27 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 81 citations into it; #10,242 of 10,717 by trust here, #4,441 by citations
- Artificial Intelligence — 54 citations into it; #26,044 of 35,345 by trust here, #12,244 by citations
- Environmental Engineering — 44 citations into it
- Plant Science — 40 citations into it
- Media Technology — 31 citations into it; #936 of 3,621 by trust here, #481 by citations
- Atmospheric Science — 26 citations into it; #1,031 of 4,804 by trust here, #1,084 by citations
- Computer Vision and Pattern Recognition — 26 citations into it; #16,016 of 21,575 by trust here, #12,689 by citations
- Statistical Learning Theory — 23 citations into it
Whom Jordi Muñoz-Marí trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lorenzo Bruzzone
- Gustau Camps-Valls
- Sanjoy Dasgupta
- Yuliya Tarabalka
- John Shawe-Taylor
- Leo Breiman
- Christopher K. I. Williams
- Thomas M. Cover
- Robert Tibshirani
- Vladimir Naumovich Vapnik
Who trusts Jordi Muñoz-Marí overall
- Gustau Camps-Valls
- Luis Gómez-Chova
- Jon Atli Benediktsson
- Devis Tuia
- Lorenzo Bruzzone
- Xin Huang
- Jun Yu Li
- Gong Cheng
- Katja Berger
- Jean-Baptiste F'eret
Papers from Jordi Muñoz-Marí's perspective
Ordered by how strongly the researchers Jordi Muñoz-Marí 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)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Random Forests
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- The Nature of Statistical Learning Theory
- A training algorithm for optimal margin classifiers
Their papers
- Fair Kernel Learning (2017) — 97 citations
- A unified vegetation index for quantifying the terrestrial biosphere (2021) — 669 citations
- Inferring causation from time series in Earth system sciences (2019) — 991 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
- Semisupervised Classification of Remote Sensing Images With Active Queries (2012) — 100 citations
- A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification (2011) — 553 citations
- Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection (2008) — 380 citations
- Composite kernels for hyperspectral image classification (2006) — 1,095 citations