E-LIB Suche - Ergebnisse für: Estébanez, César

1

Evolutionary hash functions for specific domains:

Saez, Yago ; Estebanez, Cesar ; Quintana, David.
Applied Soft Computing. 78 (2019) - p. 58-69 , 2019

Link: https://doi.org/10.1016/..

2

Synthetic and real data sets for benchmarking non-cryptogra..:

Saez, Yago ; Estebanez, Cesar ; Quintana, David.
Data in Brief. 25 (2019) - p. 104046 , 2019

Link: https://doi.org/10.1016/..

3

AUTOMATIC DESIGN OF NONCRYPTOGRAPHIC HASH FUNCTIONS USING G..:

Estébanez, César ; Saez, Yago ; Recio, Gustavo.
Computational Intelligence. 30 (2014) 4 - p. 798-831 , 2014

Link: https://doi.org/10.1111/..

4

Performance of the most common non-cryptographic hash funct..:

Estébanez, César ; Saez, Yago ; Recio, Gustavo.
Software: Practice and Experience. 44 (2013) 6 - p. 681-698 , 2013

Link: https://doi.org/10.1002/..

5

AntBot: Ant Colonies for Video Games:

Recio, Gustavo ; Martin, Emilio ; Estebanez, César.
IEEE Transactions on Computational Intelligence and AI in Games. 4 (2012) 4 - p. 295-308 , 2012

Link: https://doi.org/10.1109/..

6

Optimization algorithms for large-scale real-world instance..:

Luna, Francisco ; Estébanez, César ; León, Coromoto...
Soft Computing. 15 (2010) 5 - p. 975-990 , 2010

Link: https://doi.org/10.1007/..

7

Metaheuristics for solving a real-world frequency assignmen..:

, In: Proceedings of the 10th annual conference on Genetic and evolutionary computation,

Luna, Francisco ; Estébanez, César ; León, Coromoto... - p. 1579-1586 , 2008

Link: https://dl.acm.org/doi/1..

8

GPPE: a method to generate ad-hoc feature extractors for pr..:

Estébanez, César ; Valls, José M. ; Aler, Ricardo
Applied Intelligence. 29 (2007) 2 - p. 174-185 , 2007

Link: https://doi.org/10.1007/..

9

Evolving hash functions by means of genetic programming:

, In: Proceedings of the 8th annual conference on Genetic and evolutionary computation,

Estébanez, César ; Hernández-Castro, Julio César ; Ribagorda, Arturo. - p. 1861-1862 , 2006

Link: https://dl.acm.org/doi/1..

10

Synthetic and real data sets for benchmarking non-cryptogra..:

Saez, Yago ; Estebanez, Cesar ; Quintana, David.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582058/. , 2019

Link: http://www.ncbi.nlm.nih...

11

Synthetic and real data sets for benchmarking non-cryptogra..:

Sáez Achaerandio, Yago ; Estébanez Tascón, César ; Quintana, David.
Sáez, Y., Estébanez, C., Quintana, D., Isasi, P. (2019). Synthetic and real data sets for benchmarking non cryptographic hash functions. Data in Brief, 25, 104046. https://doi.org/10.1016/j.dib.2019.104046. , 2019

Link: http://hdl.handle.net/10..

12

Synthetic and real data sets for benchmarking non-cryptogra..:

Yago Saez ; Cesar Estebanez ; David Quintana.
http://www.sciencedirect.com/science/article/pii/S2352340919303993. , 2019

Link: https://doi.org/10.1016/..

13

Self-adaptive MOEA feature selection for classification of ..:

Gaspar Cunha, A ; Recio, Gustavo ; Costa, L.
Gobierno de España. TIN2011-28336. , 2014

Link: http://hdl.handle.net/10..

14

Performance of the most common non-cryptographic hash funct..:

Estébanez Tascón, César ; Sáez Achaerandio, Yago ; Recio, Gustavo.
Gobierno de España. TIN2011-28336 (MOVES). , 2014

Link: http://hdl.handle.net/10..

15

Automatic design of noncryptographic hash functions using g..:

Estébanez Tascón, César ; Sáez Achaerandio, Yago ; Recio, Gustavo.
Gobierno de España. TIN2011-28336. , 2014

Link: http://hdl.handle.net/10..