Mark A. Friedl
Global and Planetary Change · 1996–2017
A researcher in the Science corpus: 11 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 51 citations into it; #3,459 of 10,225 by trust here, #1,150 by citations
- Ecology — 27 citations into it; #8,937 of 10,717 by trust here, #933 by citations
- Atmospheric Science — 20 citations into it
- Nature and Landscape Conservation — 11 citations into it
- Environmental Engineering — 9 citations into it
- Economics and Econometrics — 7 citations into it
- Statistical Learning Theory — 5 citations into it
- Media Technology — 5 citations into it; #1,702 of 3,621 by trust here, #187 by citations
Whom Mark A. Friedl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Jerome H. Friedman
- Giles M. Foody
- Robert E. Schapire
- Carla E. Brodley
- Thomas G. Dietterich
- Yoav Freund
- Wolfgang Lucht
- David Hilton Wolpert
- David D. Lewis
Who trusts Mark A. Friedl overall
- Benoît Frénay
- Annemarie Schneider
- Xingquan Zhu
- Fabrice Muhlenbach
- Zhe Zhu
- M. Wulder
- Michel Verleysen
- Jacob Goldberger
- T. Davies-Barnard
- Ricardo Barandela
Papers from Mark A. Friedl's perspective
Ordered by how strongly the researchers Mark A. Friedl trusts endorse each paper. Same corpus, a different order for every researcher.
- The Strength of Weak Learnability
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- Learning structural descriptions from examples
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
- An algorithm for the retrieval of albedo from space using semiempirical BRDF models (IEEE Transactions on Geoscience and Remote Sensing)
- Global land cover mapping from MODIS: algorithms and early results
- Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
- The Nature of Statistical Learning Theory
- C4.5: Programs for Machine Learning (書評)
Their papers
- Canadian boreal forest greening and browning trends: an analysis of biogeographic patterns and the relative roles of disturbance versus climate drivers (2017) — 154 citations
- Interactions between urban vegetation and surface urban heat islands: a case study in the Boston metropolitan region (2016) — 134 citations
- Global rain-fed, irrigated, and paddy croplands: A new high resolution map derived from remote sensing, crop inventories and climate data (2015) — 304 citations
- A global fingerprint of macro-scale changes in urban structure from 1999 to 2009 (2013) — 152 citations
- Digital repeat photography for phenological research in forest ecosystems (2012) — 588 citations
- Influence of spring and autumn phenological transitions on forest ecosystem productivity (2010) — 911 citations
- MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets (2010) — 3,290 citations
- A new map of global urban extent from MODIS satellite data (2009) — 822 citations
- Global land cover mapping from MODIS: algorithms and early results (2002) — 2,689 citations
- Identifying Mislabeled Training Data (1999)
- Identifying and Eliminating Mislabeled Training Instances (1996)