
Notícias
Publicações
Artigos Científicos (ISI)
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.
Livros
Capítulos de Livros
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