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B. Saavedra-Moreno
Publication Activity (10 Years)
Years Active: 2011-2013
Publications (10 Years): 0
Top Topics
Support Vector Regression
Group Method Of Data Handling
Examination Timetabling
Multi Class Svm
Top Venues
IDEAL
Comput. Commun.
Inf. Sci.
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Publications
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J. Gascón-Moreno
,
Sancho Salcedo-Sanz
,
B. Saavedra-Moreno
,
Leopoldo Carro-Calvo
,
Antonio Portilla-Figueras
An evolutionary-based hyper-heuristic approach for optimal construction of group method of data handling networks.
Inf. Sci.
247 (2013)
B. Saavedra-Moreno
,
Sancho Salcedo-Sanz
,
Leopoldo Carro-Calvo
,
Antonio Portilla-Figueras
,
J. Magdalena-Saiz
Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression.
IDEAL
(2013)
Amir M. Ahmadzadeh
,
Juan Eulogio Sánchez-García
,
B. Saavedra-Moreno
,
Antonio Portilla-Figueras
,
Sancho Salcedo-Sanz
Capacity estimation algorithm for simultaneous support of multi-class traffic services in Mobile WiMAX.
Comput. Commun.
35 (1) (2012)
B. Saavedra-Moreno
,
Sancho Salcedo-Sanz
,
A. Paniagua-Tineo
,
J. Gascón-Moreno
,
José Antonio Portilla-Figueras
Optimal Evolutionary Wind Turbine Placement in Wind Farms Considering New Models of Shape, Orography and Wind Speed Simulation.
IWANN (1)
(2011)
J. Gascón-Moreno
,
Emilio G. Ortíz-García
,
Sancho Salcedo-Sanz
,
A. Paniagua-Tineo
,
B. Saavedra-Moreno
,
José Antonio Portilla-Figueras
-SVMr Using a Genetic Algorithm.
IWANN (2)
(2011)
Sancho Salcedo-Sanz
,
B. Saavedra-Moreno
,
A. Paniagua-Tineo
,
Luis Prieto
,
Antonio Portilla-Figueras
A review of recent evolutionary computation-based techniques in wind turbines layout optimization problems.
Central Eur. J. Comput. Sci.
1 (1) (2011)
A. Paniagua-Tineo
,
Sancho Salcedo-Sanz
,
Emilio G. Ortíz-García
,
J. Gascón-Moreno
,
B. Saavedra-Moreno
,
José Antonio Portilla-Figueras
-GA Extreme Learning Machines in Regression Problems.
IWANN (2)
(2011)
A. Paniagua-Tineo
,
Sancho Salcedo-Sanz
,
Emilio G. Ortíz-García
,
Antonio Portilla-Figueras
,
B. Saavedra-Moreno
,
G. López-Díaz
Greenhouse Indoor Temperature Prediction Based on Extreme Learning Machines for Resource-Constrained Control Devices Implementation.
PAAMS (Special Sessions)
(2011)