1 code implementation • 31 Aug 2023 • Felix Wagner, Florian Nachtigall, Lukas Franken, Nikola Milojevic-Dupont, Rafael H. M. Pereira, Nicolas Koch, Jakob Runge, Marta Gonzalez, Felix Creutzig
Here, we address all three gaps via causal graph discovery and explainable machine learning to detect urban form effects on intra-city car travel, based on mobility data of six cities across three continents.
no code implementations • 1 Aug 2023 • Lucia Urcelay, Daniel Hinjos, Pablo A. Martin-Torres, Marta Gonzalez, Marta Mendez, Salva Cívico, Sergio Álvarez-Napagao, Dario Garcia-Gasulla
In Vitro Fertilization is among the most widespread treatments for infertility.
no code implementations • 11 Feb 2021 • Zeinab Khorrami, Maud Langlois, Paul C. Clark, Farrokh Vakili, Anne S. M. Buckner, Marta Gonzalez, Paul Crowther, Richard Wunsch, Jan Palous, Stuart Lumsden, Estelle Moraux
Our aim was to (i) increase the number of resolved sources in the core of R136, and (ii) to compare with the first epoch to classify the properties of the detected common sources between the two epochs.
Solar and Stellar Astrophysics Astrophysics of Galaxies
no code implementations • 18 Nov 2019 • Fahad Alhasoun, Marta Gonzalez
In this paper, we propose an approach to collect and label imagery data then deploy advancements in computer vision towards modern urban planning.
no code implementations • 22 Jul 2019 • Adrian Albert, Jasleen Kaur, Emanuele Strano, Marta Gonzalez
Accurately forecasting urban development and its environmental and climate impacts critically depends on realistic models of the spatial structure of the built environment, and of its dependence on key factors such as population and economic development.
1 code implementation • 8 Jan 2018 • Adrian Albert, Emanuele Strano, Jasleen Kaur, Marta Gonzalez
In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global urban land-use inventory.
3 code implementations • 10 Apr 2017 • Adrian Albert, Jasleen Kaur, Marta Gonzalez
For supervision, given the limited availability of standard benchmarks for remote-sensing data, we obtain ground truth land use class labels carefully sampled from open-source surveys, in particular the Urban Atlas land classification dataset of $20$ land use classes across $~300$ European cities.