publications
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Bastian Herre, Lucas Rodés-Guirao, Edouard Mathieu, Hannah Ritchie, Charlie Giattino, Joe Hasell, Saloni Dattani, Esteban Ortiz-Ospina, Max Roser, Best practices for government agencies to publish data: lessons from COVID-19, The Lancet Public Health, 2024, ISSN 2468-2667.
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Mathieu, E., Ritchie, H., Ortiz-Ospina, E., Roser, M., Hasell, J., Appel, C., Giattino, C. and Rodés-Guirao, L., 2021. A global database of COVID-19 vaccinations. Nature Human Behaviour, pp.1-7.
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Ritchie, H., Ortiz-Ospina, E., Beltekian, D., Mathieu, E., Hasell, J., Macdonald, B., Giattino, C., Appel, C., Rodés-Guirao, L. and Roser, M., 2020. Coronavirus Pandemic (COVID-19). Our World in Data.
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Rodés-Guirao, L., 2019. Deep Learning for Digital Typhoon: Exploring a typhoon satellite image dataset using deep learning.
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Baldassarre, F., Morín, D.G. and Rodés-Guirao, L., 2017. Deep koalarization: Image Colorization Using CNNs and Inception-Resnet-v2. arXiv preprint arXiv:1712.03400.
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Rodés, L., Kaushik, A., Sharma, S.K., Chatzinotas, S. and Jondral, F., 2016, September. Square-Law Selector and Square-Law Combiner for Cognitive Radio Systems: An Experimental Study. In 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall) (pp. 1-5). IEEE.
More at: google scholar.