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Author Title Type [ Year(Asc)]
Filters: Keyword is Pattern recognition  [Clear All Filters]
2011
Esteves, T., Valente, M., Nascimento, D. S., Pinto-Do-Ó, P., & Quelhas, P. (2011). Automatic and semi-automatic analysis of the extension of myocardial infarction in an experimental murine model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 6669 LNCS, pp. 151 - 158).
2009
Marcuzzo, M., Guichard, T., Quelhas, P., Mendonça, A. M., & Campilho, A. (2009). Cell division detection on the arabidopsis thaliana root. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 5524 LNCS, pp. 168 - 175).
Sousa, A. V., Mendonça, A. M., & Campilho, A. (2009). Chromatographic pattern recognition using optimized one-class classifiers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 5524 LNCS, pp. 449 - 456).
2008
Sousa, A. V., Mendonça, A. M., & Campilho, A. (2008). Chromatographic pattern classification. IEEE Transactions on Biomedical EngineeringIEEE Trans. Biomed. Eng., 55(6), 1687 - 1696.
Marcuzzo, M., Quelhas, P., Mendonça, A. M., & Campilho, A. (2008). Tracking of Arabidopsis thaliana root cells in time-lapse microscopy. In Proceedings - International Conference on Pattern RecognitionProc. Int. Conf. Pattern Recognit.
2001
Alexandre, L. A., Campilho, A. C., & Kamel, M. (2001). On combining classifiers using sum and product rules. Pattern Recognition LettersPattern Recogn. Lett., 22(12), 1283 - 1289.
2000
Milanova, M., & Büker, U. (2000). Object recognition in image sequences with cellular neural networks. NeurocomputingNeurocomputing, 31(1-4Amsterdam, Netherlands), 125 - 141.
1998
Felgueiras, C. S., De Marques Sá, J. P., Bernardes, J., & Gama, S. (1998). Classification of foetal heart rate sequences based on fractal features. Medical and Biological Engineering and ComputingMed. Biol. Eng. Comput., 36(2Stevenage, United Kingdom), 197 - 201.