publications

• Herre B., Rodés-Guirao L., Mathieu, E., Ritchie, H., Giattino, C., Hasell, J., Dattani, S., Ortiz-Ospina, E., Roser, M., (2024). Best practices for government agencies to publish data: lessons from COVID-19. The Lancet Public Health, ISSN 2468-2667.

• 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.

• Rodés-Guirao, L., (2019). Deep Learning for Digital Typhoon: Exploring a typhoon satellite image dataset using deep learning.

• 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.

• 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. 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall) (pp. 1-5).

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