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Symbol-Based Machine Learning Approach for Supervised Segmentation of Follicular Lymphoma Images.

M. Zorman, P. Kokol, M. Lenic, J. de la Rosa, J. Sigut, and S. Alayón. CBMS, page 115-120. IEEE Computer Society, (2007)

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Humberto Jorge José

Nadine José Gonzalez

José Navarrete

José Putharikal

José Schneider

Other publications of authors with the same name

An Automated Approach for Preprocessing Retinographies.S. Alayón, J. Sánchez, J. Sigut, J. Marrero, and M. González. BIOSIGNALS, page 381-384. INSTICC Press, (2010)Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis.J. Sigut, F. Fumero, R. Arnay, J. Estévez, and T. Díaz-Alemán. Mach. Learn. Sci. Technol., 4 (4): 45024 (December 2023)Intelligent Agents and Apache Cocoon for a CV Generation System.E. González, A. Hamilton, L. Ruiz, J. Méndez, G. Marichal, J. Sigut, M. Sigut, and J. Felipe. AICCSA, page 9-15. IEEE Computer Society, (2007)Use of Constructivism and Collaborative Teaching in an ILP Processors Course.L. Ruiz, C. González, I. Castilla, E. González, and J. Sigut. IEEE Trans. Educ., 50 (2): 101-111 (2007)SIMDE: An educational simulator of ILP architectures with dynamic and static scheduling.I. Castilla, L. Ruiz, C. González, J. Sigut, and E. González. Comput. Appl. Eng. Educ., 15 (3): 226-239 (2007)An expert system for supervised classifier design: Application to Alzheimer diagnosis.J. Sigut, J. Piñeiro, E. González, and J. Torres. Expert Syst. Appl., 32 (3): 927-938 (2007)Using KADS methodology in a simulation assisted knowledge based system: application to hospital management.L. Ruiz, R. Aguilar, J. Piñeiro, J. Damas, J. Sigut, and C. González. Expert Syst. Appl., 20 (3): 235-249 (2001)Procedures based on simulation and hardware for a computer architecture course.E. González, S. Alayón, J. Piñeiro, J. Sánchez, J. Damas, J. Sigut, and L. Ruiz. Comput. Appl. Eng. Educ., 10 (1): 11-17 (2002)Towards a knowledge based system for the clinical evaluation of the electroencephalogram and visual evoked potentials.L. Ruiz, J. Sánchez, S. Mañas, J. Piñeiro, J. Merino, J. Sigut, R. Aguilar, J. Damas, and R. Marichal. SMC, page 4069-4074. IEEE, (1998)Evoked Potential Feature Detection with Recurrent Dynamic Neural Networks.J. Piñeiro, R. Marichal, L. Ruiz, J. Sigut, J. Damas, R. Aguilar, J. Sánchez, and J. Merino. NC, page 533-536. ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland, (1998)

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Disambiguation of "Sigut, José F."

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Symbol-Based Machine Learning Approach for Supervised Segmentation of Follicular Lymphoma Images.

Please choose a person to relate this publication to

Humberto Jorge José

Nadine José Gonzalez

José Navarrete

José Putharikal

José Schneider

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sigut, José F."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Symbol-Based Machine Learning Approach for Supervised Segmentation of Follicular Lymphoma Images.

Please choose a person to relate this publication to

Humberto Jorge José

Nadine José Gonzalez

José Navarrete

José Putharikal

José Schneider

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Symbol-Based Machine Learning Approach for Supervised Segmentation of Follicular Lymphoma Images.