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Marymell Martillan

Asian Development Bank

6 ADB Avenue, Mandaluyong City 1550

Metro Manila

Philippines

  • Asian Development Bank

SCHOLARLY PAPERS

3

DOWNLOADS

468

TOTAL CITATIONS

5

Scholarly Papers (3)

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1.

Applying Artificial Intelligence on Satellite Imagery to Compile Granular Poverty Statistics

Asian Development Bank Economics Working Paper Series No. 629
Number of pages: 28 Posted: 16 Feb 2021
Martin Hofer, Tomas Sako, Arturo Martinez Jr., Mildred Addawe, Joseph Bulan, Ron Lester Durante and Marymell Martillan
Vienna University of Economics and Business, affiliation not provided to SSRN, Asian Development Bank, Asian Development Bank, Asian Development Bank, Asian Development Bank and Asian Development Bank
Downloads 309 (244,299)
Citation 1

Abstract:

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big data, computer vision, data for development, machine learning algorithm, official statistics, poverty, SDG

2.

Predicting Poverty Using Geospatial Data in Thailand

Asian Development Bank Economics Working Paper Series No. 630
Number of pages: 38 Posted: 16 Feb 2021
Nattapong Puttanapong, Arturo Martinez Jr., Mildred Addawe, Joseph Bulan, Ron Lester Durante and Marymell Martillan
Thammasat University, Asian Development Bank, Asian Development Bank, Asian Development Bank, Asian Development Bank and Asian Development Bank
Downloads 100 (704,534)
Citation 2

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big data, computer vision, data for development, machine learning algorithm, multidimensional poverty, official statistics, poverty, SDG, Thailand

3.

Compiling Granular Population Data Using Geospatial Information

Asian Development Bank Economics Working Paper Series No. 643
Number of pages: 31 Posted: 06 Jan 2022
Thomas Mitterling, Katharina Fenz, Arturo Martinez Jr., Joseph Bulan, Mildred Addawe, Ron Lester Durante and Marymell Martillan
affiliation not provided to SSRN, affiliation not provided to SSRN, Asian Development Bank, Asian Development Bank, Asian Development Bank, Asian Development Bank and Asian Development Bank
Downloads 59 (980,173)
Citation 2

Abstract:

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population mapping, big data, random forest estimation, Philippines, Thailand