Title: Biblio RTF Export
Author: Biblio 7.x

Marques De Sá, J. P., Silva, L. M. A., Santos, J. M. F., & Alexandre, L. A. (2013). Minimum error entropy classification. Studies in Computational Intelligence (Vol. 420, pp. 1 - 278).

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.

De Sá, J. P. M., Gama, J., Sebastião, R., & Alexandre, L. A. (2009). Decision trees using the minimum Entropy-of-error principle. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 5702 LNCS, pp. 799 - 807).

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.

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., Felgueiras, C. S., Alexandre, L. A., & Marques de Sá, J. (2006). Error entropy in classification problems: A univariate data analysis. Neural ComputationNeural Comp., 18(9), 2036 - 2061.

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).

Santos, J. M., Alexandre, L. A., & De Sá, J. M. (2006). Modular neural network task decomposition via entropic clustering. In Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and ApplicationsProc. ISDA Sixth Int. Conf. Intelligent Syst. Design Applic. (Vol. 1, pp. 62 - 67).

Pereira, C. S., Alexandre, L. A., Mendonça, A. M., & Campilho, A. (2006). A multiclassifier approach for lung nodule classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 4142 LNCS, pp. 612 - 623).

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).

Santos, J. M., Marques de Sá, J., & Alexandre, L. A. (2005). Neural networks trained with the EEM algorithm: Tuning the smoothing parameter. WSEAS Transactions on SystemsWSEAS Trans. Syst., 4(4), 295 - 299.

Alexandre, L. A., Campilho, A., & Kamel, M. (2004). Bounds for the Average Generalization Error of the Mixture of Experts Neural Network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 3138, pp. 618 - 625).

Alexandre, L. A., Campilho, A., & Kamel, M. (2003). A probabilistic model for the cooperative modular neural network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. (Vol. 2652, pp. 11 - 18).

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.