da Rocha Z.. On the second order differential equation satisfied by perturbed Chebyshev polynomials. J. Math. Anal.. 2016;7(1):53-69.Edit

[2016-4] da Rocha Z.. WOPA 2016 - Abstracts - Workshop on Orthogonal Polynomials and Applications .Edit

da Rocha Z.. Implementation of the recurrence relations of biorthogonality. Numerical Algorithms. 1992;3:173-183.Edit

da Rocha Z.. QD-algorithms and recurrence relations for biorthogonal polynomials. Journal of Computational and Applied Mathematics. 1999;107:53{72.Edit

[2018-9] da Rocha Z, Maroni P, Brezinski C, Magnus A, Ismail M, Ben Cheikh Y, et al. Actividades Científicas de Pascal Maroni .Edit

[2017-13] da Rocha Z.. Program and abstracts of WOPA-Porto-2017, Workshop on Orthogonal Polynomials and Applications .Edit

[2017-22] da Rocha Z. On connection coefficients, zeros and interception points of some perturbed of arbitrary order of the Chebyshev polynomials of second kind .Edit

da Rocha Z.. Shohat-Favard and Chebyshev's methods in d-orthogonality. Numerical Algorithms. 1999;20:139-164.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

Da Costa J, Cardoso JS. classification of ordinal data using neural networks. machine learning: ecml 2005, proceedings. 2005;3720:690-697.Edit

da Costa J., Cardoso JS. Classification of ordinal data using neural networks. In: Gama J., Camacho R, Brazdil P., Jorge A, Torgo L., editors. Machine Learning: Ecml 2005, Proceedings. Vol 3720.; 2005. 6. p. 690-697p. (Lecture Notes in Artificial Intelligence; vol 3720).Edit

da Costa JF, Roque LA. Limit distribution for the weighted rank correlation coefficient, $r_W$. REVSTAT. 2006;4:189-200.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

Da Costa JP, Sousa R, Cardoso JS. an all-at-once unimodal svm approach for ordinal classification. proceedings - 9th international conference on machine learning and applications, icmla 2010. 2010:59-64.Edit

da Costa JP. Rankings and Preferences Springer Berlin Heidelberg 2015.Edit

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

da Costa JP, Soares C. Rejoinder to letter to the editor from C. Genest and J-F. Plante concerning `Pinto da Costa, J. & Soares, C. (2005) A weighted rank measure of correlation.' [MR2395821]. Aust. N. Z. J. Stat.. 2007;49:205-207.Edit

J Da Costa P, Soares C. letter to the editor [2]. australian and new zealand journal of statistics. 2007;49:205-207.Edit

da Costa JF, Rao P.. Central partition for a partition-distance and strong pattern graph. REVSTAT. 2004;2:127-143.Edit

da Costa JP. Rankings and Preferences. New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications Springer 2015.Edit

Da Costa J, Soares C. rejoinder to letter to the editor from c. genest and j-f. plante concerning 'pinto da costa, j. & soares, c. (2005) a weighted rank measure of correlation.'. australian & new zealand journal of statistics. 2007;49:205-207.Edit

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

D'Angeli D, Rodaro E. A geometric approach to (semi)-groups defined by automata via dual transducers. Geometriae Dedicata. In Press.Edit

D'Angeli D, Rodaro E. Groups and Semigroups Defined by Colorings of Synchronizing Automata. International Journal of Algebra and Computation. In Press.Edit

[2010-33] d'Almeida FD, Vasconcelos PB. Convergence of Multipower Defect Correction for Spectral Computations of Integral Operators .