Publications

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Sabzi, S., H. Javadikia, and J. I. Arribas, "A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value", Measurement, vol. 152, pp. 107298, 2020.
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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.
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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.
Tristán-Vega, A., and J. I. Arribas, "A radius and ulna TW3 bone age assessment system", IEEE Transactions on Biomedical Engineering, vol. 55, pp. 1463-1476, 2008.
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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.
San-Jose-Revuelta, L. M., and J. I. Arribas, "A new approach for the design of digital frequency selective FIR fillters using an FPA-based algorithm", Expert Systems with Applications, vol. 106, 2018.
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.
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Arribas, J. I., and J. Cid-Sueiro, "A model selection algorithm for a posteriori probability estimation with neural networks", IEEE Transactions on Neural Networks, vol. 16, pp. 799-809, 2005.
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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.
Tristán-Vega, A., and J. I. Arribas, "A fast B-spline pseudo-inversion algorithm for consistent image registration", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 768-775, 2007.
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Santos-Mayo, L., L. Miguel San-Jose-Revuelta, and J. I. Arribas, "A computer-aided diagnosis system with EEG based on the P3b wave during an auditory odd-ball task in schizophrenia", IEEE Transactions on Biomedical Engineering, vol. PP, no. 99, pp. 1-1, 2016.
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.
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Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, A blood orange computer vision sorting system, 2017.
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Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "An automatic visible-range video weed detection, segmentation and classification prototype in potato field", Heliyon, vol. 6, pp. e03685, 2020.
Javadikia, H., S. Sabzi, and J. I. Arribas, "An automatic and non-intrusive hybrid computer vision system for the estimation of peel thickness in Thomson orange", Spanish Journal of Agricultural Research, vol. 16, issue 4, pp. e0204, 2018.
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Dadashzadeh, M., Y. Abbaspour-Gilandeh, T. Mesri-Gundoshmian, S. Sabzi, J. Luis Hernández-Hernández, M. Hernández-Hernández, and J. I. Arribas, "Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields", Plants, vol. 9, pp. 559, 2020.
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San-José-Revuelta, L. M., and J. I. Arribas, "Three Natural Computation methods for joint channel estimation and symbol detection in multiuser communications", Applied Soft Computing, vol. 49, pp. 561 - 569, 2016.
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Arribas, J. I., Sunflowers: growth and development, environmental influences and pests/diseases., New York, Nova Science Publishers, pp. 323, 2014.
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Abbaspour-Gilandeh, Y., S. Sabzi, and J. I. Arribas, "An Outdoors Multi-stage Fruit-tree Orchard Video Image Segmentation System under Natural Conditions", Journal of Agricultural Sciences, vol. 25, issue 4, 2019.
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Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "Non-intrusive image processing Thompson orange grading methods", 2017 56th FITCE Congress: IEEE, 2017.
Pourdarbani, R., S. Sabzi, D. Kalantari, and J. I. Arribas, "Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages", Chemometrics and Intelligent Laboratory Systems, pp. 104147, 2020.
Abbaspour-Gilandeh, Y., S. Sabzi, F. Azadshahraki, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data", Journal of Agricultural Sciences, vol. 26, pp. 339–348, 2020.
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.

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