Publications

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Book Chapter
Arribas, J. I., J. Cid-Sueiro, and C. Alberola-Lopez, "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.
Arribas, J. I., J. Cid-Sueiro, and C. Alberola-Lopez, "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.
Sanchez-Ferrero, G. V., and J. I. Arribas, "A statistical-genetic algorithm to select the most significant features in mammograms", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 189-196, 2007.
Conference Paper
Arribas, J. I., J. Cid-Sueiro, T. Adali, H. Ni, B. Wang, and A. R. Figueiras-Vidal, "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.
Wu, Y., and J. I. Arribas, "Fusing Output Information in Neural Networks: Ensemble Performs Better", Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Cancun, 2003.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "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.
Wu, Y., J. He, Y. Man, and J. I. Arribas, "Neural network fusion strategies for identifying breast masses", IEEE International Conference on Neural Networks - Conference Proceedings, Budapest, 2004.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "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.
Arribas, J. I., C. Alberola López, A. Mateos-Marcos, and J. Cid-Sueiro, "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.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "Non-intrusive image processing Thompson orange grading methods", 2017 56th FITCE Congress: IEEE, 2017.
de Luis-García, R., M. Martin-Fernandez, J. I. Arribas, and C. Alberola López, "A fully automatic algorithm for contour detection of bones in hand radiographs using active contours", Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, vol. 3: IEEE, pp. III–421, 2003.
de Luis-García, R., M. Martin-Fernandez, J. I. Arribas, and C. Alberola-Lopez, "A fully automatic algorithm for contour detection of bones in hand radiographs using active contours", IEEE International Conference on Image Processing, Barcelona, 2003.
de Luis-García, R., M. Martin-Fernandez, J. I. Arribas, and C. Alberola-Lopez, "A fully automatic algorithm for contour detection of bones in hand radiographs using active contours", Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, vol. 3: IEEE, pp. III–421, 2003.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "A new method based on computer vision for non-intrusive orange peel sorting", 2017 56th FITCE Congress: IEEE, 2017.
Tristán-Vega, A., and J. I. Arribas, "A radius and ulna skeletal age assessment system", 2005 IEEE Workshop on Machine Learning for Signal Processing, Mystic, CT, 2005.
Conference Proceedings
Casaseca-de-la-Higuera, P., J. I. Arribas, E. Muñoz-Moreno, and C. Alberola López, "A comparative study on microcalcification detection methods with posterior probability estimation based on Gaussian mixture models", Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the: IEEE, pp. 49–54, 2005.
de Luis-García, R., J. I. Arribas, S. Aja-Fernández, and A. C Lopez, "A neural architecture for bone age assessment", Proc. of the IASTED International Conference on Signal Processing, Pattern Recognition & Applications, pp. 161–166, 2002.
Journal Article
Leal-Campanario, R., L. Alarcon-Martinez, H. Rieiro, S. Martinez-Conde, T. Alarcon-Martinez, X. Zhao, J. LaMee, P.J. Popp, M.E. Calhoun, J. I. Arribas, et al., "Abnormal Capillary Vasodynamics Contribute to Ictal Neurodegeneration in Epilepsy", Scientific Reports, vol. 7, 2017.
Sabzi, S., Y. Abbaspour-Gilandeh, G. Garcia-Mateos, A. Ruiz-Canales, J. M. Molina-Martinez, and J. I. Arribas, "An Automatic Non-Destructive Method for the Classification of the Ripeness Stage of Red Delicious Apples in Orchards Using Aerial Video", Agronomy, vol. 9, issue 84, 2019.
Arribas, J. I., V. D. Calhoun, and T. Adali, "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.
Pourdarbani, R., S. Sabzi, D. Kalantari, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data", Biosystems Engineering, vol. 195, pp. 136–151, 2020.
Pourdarbani, R., S. Sabzi, D. Kalantari, J. Luis Hernández-Hernández, and J. I. Arribas, "A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties", Foods, vol. 9, pp. 113, 2020.
Sabzi, S., R. Pourdarbani, and J. I. Arribas, "A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images", Computers, vol. 9, pp. 6, 2020.
Cid-Sueiro, J., J. I. Arribas, S. Urban-Munoz, and A. R. Figueiras-Vidal, "Cost functions to estimate a posteriori probabilities in multiclass problems", IEEE Transactions on Neural Networks, vol. 10, pp. 645-656, 1999.

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