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A
Agante Da Silva, P. M. G., & Marques De Sá, J. P. (1999). ECG noise filtering using wavelets with soft-thresholding methods. In Computers in CardiologyComput Cardiol (pp. 535 - 538).
Alexandre, L. A., & Marques De Sá, J. P. (2006). Error entropy minimization for LSTM training. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 4131 LNCS - I, pp. 244 - 253).
C
Correia, M. V., & Campilho, A. C. (2002). Real-time implementation of an optical flow algorithm. In Proceedings - International Conference on Pattern RecognitionProc. Int. Conf. Pattern Recognit. (Vol. 16, pp. 247 - 250).
Costa, M. A., Ayres-de-Campos, D., Machado, A. P., Santos, C. C., & Bernardes, J. (2010). Comparison of a computer system evaluation of intrapartum cardiotocographic events and a consensus of clinicians. Journal of perinatal medicineJ Perinat Med, 38(2), 191 - 195.
D
De Sá, J. P. M., Sebastião, R., Gama, J., & Fontes, T. (2011). New results on minimum error entropy decision trees. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 7042 LNCS, pp. 355 - 362).
G
Gonçalves, H., Rocha, A. P., Ayres-de-Campos, D., & Bernardes, J. (2006). Internal versus external intrapartum foetal heart rate monitoring: The effect on linear and nonlinear parameters. Physiological MeasurementPhysiol. Meas., 27(3), 307 - 319.
Goodwin, J. A., van Meurs, W. L., Sá Couto, C. D., Beneken, J. E. W., & Graves, S. A. (2004). A model for educational simulation of infant cardiovascular physiology. Anesthesia and AnalgesiaAnesth. Analg., 99(6), 1655 - 1664.
L
Lopes, M. A., Monteiro, F. J., Santos, J. D., Serro, A. P., & Saramago, B. (1999). Hydrophobicity, surface tension, and zeta potential measurements of glass-reinforced hydroxyapatite composites. Journal of Biomedical Materials ResearchJ. Biomed. Mater. Res., 45(4New York, NY, United States), 370 - 375.
M
Magalhães, F., Oliveira, H. P., & Campilho, A. C. (2009). A new method for the detection of singular points in fingerprint images. In 2009 Workshop on Applications of Computer Vision, WACV 2009Workshop Appl. Comput. Vis., WACV.
Mendonça, A. M., Alves Da Silva, J., & Campilho, A. (2003). Detection and validation of lung field contours on chest radiographs. In H. M.H. (Ed.), Proceedings of the IASTED International Conference on Biomedical EngineeringProc. IASTED Internat. Conf. Biomed. Eng. (pp. 183 - 188).
Mendonça, A. M., Da Silva, J. A., & Campilho, A. (2004). Automatic delimitation of lung fields on chest radiographs. In 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to NanoIEEE Int. Symp. Biomed. Imaging Macro Nano (Vol. 2, pp. 1287 - 1290).
Monteiro, F. C., & Campilho, A. C. (2005). Spectral methods in image segmentation: A combined approach. In M. J.S., de la N., P. B., & P., P. (Eds.), Lecture Notes in Computer ScienceLect. Notes Comput. Sci. (Vol. 3523, pp. 191 - 198).
R
Rocha, R., Campilho, A., & Silva, J. (2005). Segmentation of ultrasonic images of the carotid. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 3656 LNCS, pp. 949 - 957).
Rocha, R., Campilho, A., Silva, J., Azevedo, E., & Santos, R. (2011). Segmentation of ultrasound images of the carotid using RANSAC and cubic splines. Computer Methods and Programs in BiomedicineComput. Methods Programs Biomed., 101(1), 94 - 106.
S
Santos, J. M., De Sá, J. M., & Alexandre, L. A. (2008). LEGClust - A clustering algorithm based on layered entropic subgraphs. IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Trans Pattern Anal Mach Intell, 30(1), 62 - 75.
Silva, L. M., Marques de Sá, J., & Alexandre, L. A. (2006). New developments of the Z-EDM algorithm. In Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and ApplicationsProc. ISDA Sixth Int. Conf. Intelligent Syst. Design Applic. (Vol. 1, pp. 1067 - 1072).
Silva, L. M., Alexandre, L. A., & De Sá, J. M. (2005). Neural network classification: Maximizing zero-error density. In S. S., M., S., C., A., & P., P. (Eds.), Lecture Notes in Computer ScienceLect. Notes Comput. Sci. (Vol. 3686, pp. 127 - 135).
Silva, L. M., Marques de Sá, J., & Alexandre, L. A. (2010). The MEE principle in data classification: A perceptron-based analysis. Neural ComputationNeural Comp., 22(10), 2698 - 2728.
Silva, L. M., Marques de Sá, J., & Alexandre, L. A. (2008). Data classification with multilayer perceptrons using a generalized error function. Neural NetworksNeural Netw., 21(9), 1302 - 1310.
Sousa, A. V., Mendonça, A. M., & Campilho, A. (2008). Chromatographic pattern classification. IEEE Transactions on Biomedical EngineeringIEEE Trans. Biomed. Eng., 55(6), 1687 - 1696.