Publications
Complexification of gauge theories. J. Geom. Phys.. 1996;18:1-24.Edit
Boundary crisis for degenerate singular cycles. Nonlinearity . 2017;30(6):2211-2245.Edit
Numerical study of substrate assimilation by a microorganism exposed to fluctuating concentration. Chemical Engineering Science. 2012;81:8-19.Edit
Analysis of the mechanisms underlying windup using a detailed biophysical model of WDR neurons. BMC neuroscience. 2010;11:O14.Edit
A rigid triple of conjugacy classes in G_2. Journal of Group Theory. 2011;14(1):31-35.Edit
methodological developments in decision trees. an application to protein secondary structure prediction. ordinal and symbolic data analysis. 1996:179-188.Edit
Validation of very large data sets clustering by means of a nonparametric linear criterion. In: Classification, clustering, and data analysis (Cracow, 2002). Springer, Berlin; 2002. 1. p. 147-157p. (Stud. Classification Data Anal. Knowledge Organ.).Edit
Methodological developments in decision trees. An application to protein secondary structure prediction. Diday E., Lechevallier Y., Opitz O., editors 1996.Edit
A third sector in the core-periphery model: non-tradable goods. ANNALS OF REGIONAL SCIENCE. 2013;50(1):71-108.Edit
The core-periphery model with asymmetric inter-regional and intra-regional trade costs . Portuguese Economic Journal. 2009:37-44.Edit
Beyond long memory in heart rate variability: An approach based on fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity. Chaos. 2013;23.Edit
Long-Range Dependence in Heart Rate Variability Data: ARFIMA Modelling vs Detrended Fluctuation Analysis. In: {34th Annual Conference on Computers in Cardiology}. Vol {34}. {IEEE}; 2007. {. {p. 21-24p. }.Edit
Modelling long-term heart rate variability: an ARFIMA approach. {BIOMEDIZINISCHE TECHNIK}. 2006;{51}:{215-219}.Edit
Heart rate variability analysis in healthy subjects, patients suffering from congestive heart failure and heart transplanted patients. Motricidade. 2013;9:54-63.Edit
Modeling Volatility in Heat Rate Variability. In: 38Th Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embc 2016, Orlando, Fl, Usa, August 16-20, 2016. Ieee; 2016. 3. p. 3582-3585p. (Embc).
Scaling Exponents in Heart Rate Variability. J. L. da Silva, F. Caeiro, I. Natário, and C. Braumann, eds ed. Springer 2013.
Enhancing scaling exponents in heart rate by means of fractional integration. In: {Computing in Cardiology}. Vol {40}.; 2013. {. {p. 433-436p. }.
Long Memory and Volatility in HRV: An ARFIMA-GARCH Approach. In: Murray A, editor. {36th Annual Computers in Cardiology Conference (CinC 2009)}. Vol {36}. {IEEE}; 2009. {. {p. 165-168p. }.Edit
Automorphisms and derivations of $U_q(\mathfraksl^+_4)$. Journal of Pure and Applied Algebra. 2007;211:249-264.Edit
Automorphisms and derivations of $U_q(\germ s\germ l^+_4)$. J. Pure Appl. Algebra. 2007;211:249-264.Edit
Classification of factorial generalized down-up algebras. J. Algebra. 2013;396:184-206.Edit