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Giráldez Rojo, Raúl
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1

Session details: Volume I: Artificial intelligence and agen..:

, In: Proceedings of the 30th Annual ACM Symposium on Applied Computing,
Rojo, Raúl Giráldez ; Balanza, Beatriz Pontes , 2015
Link: https://dl.acm.org/doi/1..
 
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2

Session details: Volume I: Artificial intelligence & agents..:

, In: Proceedings of the 29th Annual ACM Symposium on Applied Computing,
Rojo, Raúl Giráldez ; Balanza, Beatriz Pontes , 2014
Link: https://dl.acm.org/doi/1..
 
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3

Session details: Volume I: Artificial intelligence & agents..:

, In: Proceedings of the 28th Annual ACM Symposium on Applied Computing,
Divina, Federico ; Rojo, Raúl Giráldez , 2013
Link: https://dl.acm.org/doi/1..
 
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4

Session details: Evolutionary computing track:

, In: Proceedings of the 27th Annual ACM Symposium on Applied Computing,
Divina, Federico ; Rojo, Raúl Giráldez , 2012
Link: https://dl.acm.org/doi/1..
 
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5

Session details: Artificial intelligence & agents, informat..:

, In: Proceedings of the 2011 ACM Symposium on Applied Computing,
Divina, Federico ; Rojo, Raúl Giráldez , 2011
Link: https://dl.acm.org/doi/1..
 
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6

Session details: Applications of evolutionary computing tra..:

, In: Proceedings of the 2010 ACM Symposium on Applied Computing,
Divina, Federico ; Rojo, Raúl Giráldez , 2010
Link: https://dl.acm.org/doi/1..
 
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7

Estudio de técnicas de clustering, Informe Técnico LSI-2000..:

Giráldez Rojo, Raúl ; Ruiz Sánchez, Roberto
http://www.lsi.us.es/investigacion/informes.php.  , 2022
Link: https://idus.us.es/handl..
 
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8

Proyectos dinámicos para el aprendizaje en los primeros cur..:

Márquez Chamorro, Alfonso Eduardo ; Asencio Cortés, Gualberto ; Giráldez Rojo, Raúl.
I Seminario Iberoamericano de Innovación Docente de la Universidad Pablo de Olavide (2014)..  , 2022
Link: https://idus.us.es/handl..
 
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9

TRIQ: a new method to evaluate triclusters:

Gutiérrez Avilés, David ; Giráldez Rojo, Raúl ; Gil Cumbreras, Francisco Javier.
BioData Mining, 11 (article number 15).  , 2020
Link: https://idus.us.es/handl..
 
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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
Link: https://idus.us.es/xmlui..
 
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11

Natural Encoding for Evolutionary Supervised Learning:

Aguilar Ruiz, Jesús Salvador ; Giráldez Rojo, Raúl ; Riquelme Santos, José Cristóbal
IEEE Transactions on Evolutionary Computation, 11 (4), 466-479..  , 2016
Link: https://idus.us.es/xmlui..
 
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12

Knowledge-Based Fast Evaluation for Evolutionary Learning:

Giráldez Rojo, Raúl ; Aguilar Ruiz, Jesús Salvador ; Riquelme Santos, José Cristóbal
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 35 (2), 254-261..  , 2016
Link: https://idus.us.es/xmlui..
 
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13

An efficient data structure for decision rules discovery:

Giráldez Rojo, Raúl ; Aguilar Ruiz, Jesús Salvador ; Riquelme Santos, José Cristóbal
SAC '03 Proceedings of the 2003 ACM symposium on Applied computing, pp. 475-479 (2003).  , 2016
Link: https://idus.us.es/xmlui..
 
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14

Separation Surfaces through Genetic Programming:

Riquelme Santos, José Cristóbal ; Giráldez Rojo, Raúl ; Aguilar Ruiz, Jesús Salvador.
Engineering of Intelligent Systems, Lecture Notes in Computer Science, Volume 2070, pp 428-433 (2001).  , 2016
Link: https://idus.us.es/xmlui..
 
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15

Natural Coding: A More Efficient Representation for Evoluti..:

Giráldez Rojo, Raúl ; Aguilar Ruiz, Jesús Salvador ; Riquelme Santos, José Cristóbal
Genetic and Evolutionary Computation — GECCO 2003, Lecture Notes in Computer Science, Volume 2723, pp 979-990 (2003).  , 2016
Link: https://idus.us.es/xmlui..
 
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