Esra Suel

According to our database, Esra Suel authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Do poverty and wealth look the same the world over? A comparative study of 12 cities from five high-income countries using street images.

Esra Suel, Emily Muller, James E. Bennett, Tony Blakely, Yvonne Doyle, John Lynch, Joreintje D. Mackenbach, Ariane Middel, Anja Mizdrak, Ricky Nathvani, Michael Brauer, Majid Ezzati

EPJ Data Sci., December, 2023

Influence of tracking duration on the privacy of individual mobility graphs.

Nina Wiedemann, Henry Martin, Esra Suel, Ye Hong, Yanan Xin

J. Locat. Based Serv., October, 2023

National-scale bi-directional EV fleet control for ancillary service provision.

Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici

Energy Inform., January, 2023

Vehicle-to-grid for car sharing - A simulation study for 2030.

Nina Wiedemann, Yanan Xin, Vasco Medici, Lorenzo Nespoli, Esra Suel, Martin Raubal

CoRR, 2023

Self-supervised learning unveils change in urban housing from street-level images.

Steven Stalder, Michele Volpi, Nicolas Büttner, Stephen Law, Kenneth Harttgen, Esra Suel

CoRR, 2023

2022

What You See Is What You Breathe? Estimating Air Pollution Spatial Variation Using Street-Level Imagery.

Esra Suel, Meytar Sorek-Hamer, Izabela Moise, Michael Von Pohle, Adwait Sahasrabhojanee, Ata Akbari Asanjan, Raphael Arku, Abosede S. Alli, Benjamin Barratt, Sierra N. Clark, Ariane Middel, Emily Deardorff, Violet Lingenfelter, Nikunj C. Oza, Nishant Yadav, Majid Ezzati, Michael Brauer

Remote. Sens., 2022

Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations.

Nishant Yadav, Meytar Sorek-Hamer, Michael Von Pohle, Ata Akbari Asanjan, Adwait Sahasrabhojanee, Esra Suel, Raphael Arku, Violet Lingenfelter, Michael Brauer, Majid Ezzati, Nikunj C. Oza, Auroop R. Ganguly

CoRR, 2022

2021

PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability.

Sílvia Casacuberta, Esra Suel, Seth R. Flaxman

CoRR, 2021

2020

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

Mahdieh Danesh Yazdi, Zheng Kuang, Konstantina Dimakopoulou, Benjamin Barratt, Esra Suel, Heresh Amini, Alexei I. Lyapustin, Klea Katsouyanni, Joel Schwartz

Remote. Sens., 2020