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Filters: First Letter Of Last Name is A and Author is Juan I. Arribas [Clear All Filters]
"Neural networks to estimate ML multi-class constrained conditional probability density functions", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
"Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions", Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Madison, WI, USA, IEEE, Piscataway, NJ, United States, 1999.
"Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
"Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis", Handbook of Neural Engineering: Wiley Online Library, pp. 41–58, 2005.
"Neural posterior probabilities for microcalcification detection in breast cancer diagnoses", Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on: IEEE, pp. 660–663, 2003.
"Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis", Handbook of Neural Engineering: John Wiley & Sons, Inc., pp. 41-58, 2006.
"A model selection algorithm for a posteriori probability estimation with neural networks", IEEE Transactions on Neural Networks, vol. 16, pp. 799-809, 2005.
"Automatic bayesian classification of healthy controls, bipolar disorder, and schizophrenia using intrinsic connectivity maps from fMRI data", IEEE Transactions on Biomedical Engineering, vol. 57, pp. 2850-2860, 2010.
"Leaf classification in sunflower crops by computer vision and neural networks", Computers and Electronics in Agriculture, vol. 78, pp. 9-18, 2011.
Sunflowers: growth and development, environmental influences and pests/diseases., , New York, Nova Science Publishers, pp. 323, 2014.