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Francisco Siles
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2010 – 2019
- 2019
- [c8]Francisco Siles
, Andrés Mora-Zúñga, Steve Quirós:
Comparison of Four Automatic Classifiers for Cancer Cell Phenotypes Using M-Phase Features Extracted from Brightfield Microscopy Images. CARLA 2019: 406-419 - 2018
- [c7]M. Castresana, Francisco Siles
Goniometry-based Glitch-Correction Algorithm for Optical Motion Capture Data. IWOBI 2018: 1-8 - [c6]L. Nunez M, D. Dajles, Francisco Siles
Teleoperation of a Humanoid Robot Using an Optical Motion Capture System. IWOBI 2018: 1-8 - [c5]A. Mora-Zuniga, Steve Quiros-Barrantes, Francisco Siles
M-Phase Feature Extraction Algorithm for Phenotype Classification from Cancer Brightfield Microscopy. IWOBI 2018: 1-8 - [c4]Josué Vargas, Rodrigo Mora-Rodriguez, Francisco Siles
Genome Copy Number Feature Selection Based on Chromosomal Regions Alterations and Chemosensitivity Subtypes. IWOBI 2018: 1-9 - 2015
- [c3]Francisco Siles
Parallel spatial segmentation for the automated analysis of football. IWOBI 2015: 33-38 - [c2]S. Calderon, A. Saenz, R. Mora, Francisco Siles
DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system. IWOBI 2015: 81-88 - [c1]J. Cascante-Vindas, Francisco Siles
Optimization of micro-structured fiber optic devices for super-continuum generation. IWOBI 2015: 205-208
2000 – 2009
- 2009
- [j1]Michael Beetz, Nicolai von Hoyningen-Huene, Bernhard Kirchlechner, Suat Gedikli, Francisco Siles, Murat Durus, Martin Lames:
ASPOGAMO: Automated Sports Games Analysis Models. Int. J. Comput. Sci. Sport 8(1) (2009)
Coauthor Index
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