Francisco Siles

According to our database, Francisco Siles authored at least 9 papers between 2009 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Comparison of Four Automatic Classifiers for Cancer Cell Phenotypes Using M-Phase Features Extracted from Brightfield Microscopy Images.

Francisco Siles, Andrés Mora-Zúñga, Steve Quirós

Proceedings of the High Performance Computing - 6th Latin American Conference, 2019

2018

Genome Copy Number Feature Selection Based on Chromosomal Regions Alterations and Chemosensitivity Subtypes.

Josué Vargas, Rodrigo Mora-Rodriguez, Francisco Siles

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

M-Phase Feature Extraction Algorithm for Phenotype Classification from Cancer Brightfield Microscopy.

A. Mora-Zuniga, Steve Quiros-Barrantes, Francisco Siles

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

Teleoperation of a Humanoid Robot Using an Optical Motion Capture System.

L. Nunez M, D. Dajles, Francisco Siles

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

Goniometry-based Glitch-Correction Algorithm for Optical Motion Capture Data.

M. Castresana, Francisco Siles

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

2015

Parallel spatial segmentation for the automated analysis of football.

Francisco Siles, J. C. Saborio

Proceedings of the 4th International Work Conference on Bioinspired Intelligence, 2015

Optimization of micro-structured fiber optic devices for super-continuum generation.

J. Cascante-Vindas, Francisco Siles, Antonio Díez, Miguel V. Andrés

Proceedings of the 4th International Work Conference on Bioinspired Intelligence, 2015

DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system.

S. Calderon, A. Saenz, R. Mora, Francisco Siles, I. Orozco, María E. Buemi

Proceedings of the 4th International Work Conference on Bioinspired Intelligence, 2015

2009

ASPOGAMO: Automated Sports Games Analysis Models.

Michael Beetz, Nicolai von Hoyningen-Huene, Bernhard Kirchlechner, Suat Gedikli, Francisco Siles, Murat Durus, Martin Lames

Int. J. Comput. Sci. Sport, 2009