Stewart I., Dias A.. Toric Geometry and Equivariant Bifurcations. Physica D. 2000;143:235-261.Edit

Sousa M, Da Costa J. a tripartite scorecard for the pay/no pay decision-making in the retail banking industry. frontiers in artificial intelligence and applications. 2008;177:45-50.Edit

Dias M, Gaio A., Sousa P, Abranches M., Gomes M., Oliveira O., et al. Tuberculosis Among the Homeless: Should We Change the Strategy? International Journal of Tuberculosis and Lung Disease. 2017;21(3):327-332.Edit

Dias M, Gaio A., Sousa P, Abranches M., Gomes M., Oliveira O., et al. Tuberculosis Among the Homeless: Should We Change the Strategy? International Journal of Tuberculosis and Lung Disease. 2017;21(3):327-332.Edit

Spinola CF, Campos M., Gaio A., Correia M., Gomes M., Duarte R. Tuberculosis deaths in Northern Portugal. Predictors of mortality during TB treatment - A five-year analysis (2008-2012). Revista Portuguesa de Pneumologia (English Edition). 2015;21:307-313.Edit

Paulino J, Martins A, Machado M, Gomes M., Gaio A., Duarte R. Tuberculosis in native- and foreign-born populations in Portugal. Int J Tuberc Lung Dis.. 2016;20(3):357-362.Edit

Ramos S, Nogueira A., Dias A, Gonçalves A., Gaio A., Duarte R. Tuberculosis screening in patients receiving biological therapy. Acta Reumatológica Portuguesa. 2015;40(3).Edit

Ramos S, Nogueira A., Dias A, Gonçalves A., Gaio A., Duarte R. Tuberculosis screening in patients receiving biological therapy. Acta Reumatológica Portuguesa. 2015;40(3).Edit

Da Costa J, Alonso H., Cardoso JS. the unimodal model for the classification of ordinal data. neural networks. 2008;21:78-91.Edit

Costa JP, Da Costa J, Alonso H., Cardoso JS. The unimodal model for the classification of ordinal data. NEURAL NETWORKS. 2008.Edit

Da Costa J, Alonso H., Cardoso JS. the unimodal model for the classification of ordinal data (vol 21, pg 78, 2008). neural networks. 2014;59:73-75.Edit

Delgado M, Farrán J., García-Sánchez PA, Llena D. On the weight hierarchy of codes coming from semigroups with two generators. IEEE Trans. Inform. Theory. 2014;60:282-295.Edit

Costa JP, Da Costa J, Alonso H., Roque L. A Weighted Principal Component Analysis and Its Application to Gene Expression Data. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2011.Edit

Da Costa J, Alonso H., Roque L. a weighted principal component analysis and its application to gene expression data. ieee-acm transactions on computational biology and bioinformatics. 2011;8:246-252.Edit

Costa JP, Da Costa J, Roque LA, Soares C. The weighted rank correlation coefficient in the case of ties. STATISTICS & PROBABILITY LETTERS. 2015.Edit

da Costa JP, Soares C. A weighted rank measure of correlation. Aust. N. Z. J. Stat.. 2005;47:515-529.Edit

Machiavelo A, Santos JC, Tavares JN, de Sá CC, Silva M. 43 Miniaturas Matemáticas Gradiva 2013.Edit

Aramayona J, Diekert V, Leininger CJ, Silva PV, Weiss A. Algorithmic and Geometric Topics Around Free Groups and Automorphisms. Vol Advanced Courses in Mathematics, CRM Barcelona Birkhäuser 2017.Edit

Almeida R, Dias C, Silva ME, Rocha AP. Arfima-Garch Modeling of Hrv: Clinical Application in Acute Brain Injury Springer International Publishing 2017.Edit

Camacho R, Alves A., da Costa J., Azevedo P.. CMB'05: Workshop on Computational Methods in Bioinformatics. Bento C., Cardoso A., Dias G., editors 2005.Edit

Camacho R, Alves A., da Costa J., Azevedo P.. CMB'05: Workshop on Computational Methods in Bioinformatics. Bento C., Cardoso A., Dias G., editors 2005.Edit

Estrada MF, de Sá CC, Queiró JF, Silva MC, Costa MJ. História da Matemática. Vol 1. Universidade Aberta ed. Lisboa : Universidade Aberta 2000.Edit

Domingos A., Vale I, Saraiva M., Rodrigues M., Costa M., Ferreira RA. Investigação em Educação Matemática: Raciocínio matemático Sociedade Portuguesa de Investigação em Educação Matemática 2013.Edit

Lerman I., DaCosta J.. Methodological developments in decision trees. An application to protein secondary structure prediction. Diday E., Lechevallier Y., Opitz O., editors 1996.Edit

Lerman I., DaCosta J.. Methodological developments in decision trees. An application to protein secondary structure prediction. Diday E., Lechevallier Y., Opitz O., editors 1996.Edit