Membro

Cerdeira J.O., Silva P.C. (2021)

A centrality notion for graphs based on Tukey depth

Applied Mathematics and Computation, 40915: 126409. DOI: https://doi.org/10.1016/j.amc.2021.126409

Cerdeira J.O., Iglésias C., Silva P.C. (2019)

The train frequency compatibility problem

Discrete Applied Mathematics, 269: 18-26. DOI: https://doi.org/10.1016/j.dam.2018.10.046

Clemente P., Calvache M., Antunes P., Santos R., Cerdeira J.O., Martins M.J. (2019)

Combining social media photographs and species distribution models to map cultural ecosystem services: the case of a Natural Park in Portugal

Ecological Indicators, 96(1): 59-68.

Cerdeira J.O., Monteiro‐Henriques T., Martins M.J., Silva P.C., Alagador D., Franco A.M.A., Campagnolo M.L., Arsénio P., Aguiar F.C., Cabeza M. (2018)

Revisiting niche fundamentals with Tukey depth.

Methods in Ecology and Evolution, 9(12): 2349-2361.

Alagador D., Cerdeira J.O. (2017)

Meeting species persistence targets under climate change: a spatially explicit conservation planning model

Diversity and Distributions, 23(6): 703-713.

Campagnolo M.L., Cerdeira J.O. (2007)

Contextual classification of remote sensing images with integer linear programming

In: Computational modelling of objects represented in images: fundamentals, methods and applications. J.M.Tavares, R.M. Natal Jorge (Eds.). Taylor and Francis, London, pp. 123-128. ISBN: 9780415433495 URL: https://www.routledge.com/Computational-Modelling-of-Objects-Represented-in-Images-Fundamentals/Tavares-Natal/p/book/9780415433495