Mateos García, Daniel
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4

A Preliminary Study of the Suitability of Deep Learning to ..:

García Gutiérrez, Jorge ; González Ferreiro, Eduardo ; Mateos García, Daniel.
HAIS 2016 : 11th International Conference on Hybrid Artificial Intelligence Systems (2016), pp. 588-596..  , 2022
 
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5

Optimizing a Classification System for HEp-2 Cells by Evolu..:

Mateos García, Daniel ; García Gutiérrez, Jorge ; Riquelme Santos, José Cristóbal
1st International Contest on HEp-2 Cells Classification hosted by the 21th International Conference on Pattern Recognition (ICPR 2012) (2012), pp. 21-22..  , 2022
 
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8

Label Dependent Evolutionary Feature Weighting for Remote S..:

Mateos García, Daniel ; García Gutiérrez, Jorge ; Riquelme Santos, José Cristóbal
Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, Volume 6077, pp 272-279.  , 2016
 
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10

Statistical Test-Based Evolutionary Segmentation of Yeast G..:

Aguilar Ruiz, Jesús Salvador ; Mateos García, Daniel ; Giráldez Rojo, Raúl.
Genetic and Evolutionary Computation – GECCO 2004, Lecture Notes in Computer Science, Volume 3102, pp 493-494 (2004).  , 2016
 
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11

Evolutionary segmentation of yeast genome:

Mateos García, Daniel ; Riquelme Santos, José Cristóbal ; Aguilar Ruiz, Jesús Salvador
SAC '04 Proceedings of the 2004 ACM symposium on Applied computing, pp.1026-1027 (2004).  , 2016
 
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12

A Non-parametric Approach for Accurate Contextual Classific..:

García Gutiérrez, Jorge ; Mateos García, Daniel ; Riquelme Santos, José Cristóbal
Hybrid Artificial Intelligent Systems :7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part II. Lecture Notes in Computer Science, v.7209.  , 2016
 
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14

A Comparative Study between Two Regression Methods on LiDAR..:

García Gutiérrez, Jorge ; González Ferreiro, Eduardo ; Mateos García, Daniel..
Hybrid Artificial Intelligent Systems : 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II. Lecture Notes in Computer Science, v.6679.  , 2016
 
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