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Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods.

M. Yazdi, Z. Kuang, K. Dimakopoulou, B. Barratt, E. Suel, H. Amini, A. Lyapustin, K. Katsouyanni, and J. Schwartz. Remote. Sens., 12 (6): 914 (2020)

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Walter Joel

Artur Joel

Feiga Joelsohn

Moritz Joel

Georg Joël

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Effect of increased concentrations of atmospheric carbon dioxide on the global threat of zinc deficiency: a modelling study.S. Myers, K. Wessells, I. Kloog, A. Zanobetti, and J. Schwartz. The Lancet. Global health, (Jul 15, 2015)Increasing CO2 threatens human nutritionS. Myers, A. Zanobetti, I. Kloog, P. Huybers, A. Leakey, A. Bloom, E. Carlisle, L. Dietterich, G. Fitzgerald, T. Hasegawa and 10 other author(s). Nature, 510 (7503): 139--142 (May 7, 2014)The effect of ozone and PM10 on hospital admissions for pneumonia and chronic obstructive pulmonary disease: a national multicity studyM. Medina-Ramon, A. Zanobetti, and J. Schwartz. American journal of epidemiology, 163 (6): 579--588 (2006)Testing cell-type-specific mediation effects in genome-wide epigenetic studies.X. Luo, J. Schwartz, A. Baccarelli, and Z. Liu. Briefings Bioinform., (2021)Lung function and long term exposure to air pollutants in Switzerland. Study on Air Pollution and Lung Diseases in Adults (SAPALDIA) Team.U. Ackermann-Liebrich, P. Leuenberger, J. Schwartz, C. Schindler, C. Monn, G. Bolognini, J. Bongard, O. Brändli, G. Domenighetti, S. Elsasser and 1 other author(s). American journal of respiratory and critical care medicine, 155 (1): 122--129 (1997)Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest modelM. Stafoggia, T. Bellander, S. Bucci, M. Davoli, K. de Hoogh, F. de' Donato, C. Gariazzo, A. Lyapustin, P. Michelozzi, M. Renzi and 5 other author(s). Environment International, (2019)Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution.M. Sabath, Q. Di, D. Braun, J. Schwartz, F. Dominici, and C. Choirat. DSAA, page 577-583. IEEE, (2018)Incorporating local land use regression and satellite aerosol optical depth in a hybrid model of spatiotemporal PM2. 5 exposures in the Mid-Atlantic statesI. Kloog, F. Nordio, B. Coull, and J. Schwartz. Environmental science & technology, 46 (21): 11913--11921 (2012)Temperature-related mortality impacts under and beyond Paris Agreement climate change scenariosA. Vicedo-Cabrera, Y. Guo, F. Sera, V. Huber, C. Schleussner, D. Mitchell, S. Tong, M. Coelho, P. Saldiva, E. Lavigne and 39 other author(s). Climatic Change, 150 (3): 391--402 (Oct 1, 2018)Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United StatesQ. Di, I. Kloog, P. Koutrakis, A. Lyapustin, Y. Wang, and J. Schwartz. Environmental Science & Technology, 50 (9): 4712--4721 (April 2016)

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Disambiguation of "Schwartz, Joel"

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Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods.

Please choose a person to relate this publication to

Walter Joel

Artur Joel

Feiga Joelsohn

Moritz Joel

Georg Joël

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Schwartz, Joel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods.

Please choose a person to relate this publication to

Walter Joel

Artur Joel

Feiga Joelsohn

Moritz Joel

Georg Joël

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods.