Francisco López-Ferreras

◀ ▶ joint publications with Roberto Gil-Pita

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Publications

2009
[j14]
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María-Pilar Jarabo-Amores, Manuel Rosa-Zurera, Roberto Gil-Pita, Francisco López-Ferreras:
Study of two error functions to approximate the Neyman-pearson detector using supervised learning machines. IEEE Trans. Signal Process. 57(11): 4175-4181 (2009)
2008
[j10]
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  - journals/spl/Gil-PitaRBL08
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Roberto Gil-Pita, Manuel Rosa-Zurera, Raúl Vicen Bueno, Francisco López-Ferreras:
Maximum Position Alignment Method for Noisy High-Resolution Radar Target Classification. IEEE Signal Process. Lett. 15: 120-123 (2008)
[c34]
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Roberto Gil-Pita, Manuel Rosa-Zurera, Raul Vicen-Bueno, Lorena Álvarez, Francisco López-Ferreras:
Sensitivity to noise and performance of HRR-based ATR using the Maximum Position alignment method. EUSIPCO 2008: 1-5
2007
[c33]
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  - conf/eusipco/Gil-PitaRVL07
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Roberto Gil-Pita, Manuel Rosa-Zurera, Raul Vicen-Bueno, Francisco López-Ferreras:
A new algorithm for fast search of the k nearest patterns. EUSIPCO 2007: 1887-1891
2006
[c31]
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  - conf/eusipco/Gil-PitaRVLU06
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Roberto Gil-Pita, Manuel Rosa-Zurera, Raul Vicen-Bueno, Francisco López-Ferreras, Manuel Utrilla-Manso:
Study of the performance of different alignment methods in pattern recognition. EUSIPCO 2006: 1-5
2005
[c27]
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  - conf/eusipco/AmoresGRL05
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Pilar Jarabo Amores, Roberto Gil-Pita, Manuel Rosa-Zurera, Francisco López-Ferreras:
Sensitivity of neural networks which approximate the Neyman-Pearson detector to threshold variations. EUSIPCO 2005: 1-4
[c26]
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  - conf/eusipco/Vicen-BuenoGJL05
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Raul Vicen-Bueno, Roberto Gil-Pita, Maria P. Jarabo-Amores, Francisco López-Ferreras:
Complexity reduction in Neural Networks applied to traffic sign recognition tasks. EUSIPCO 2005: 1-4
[c24]
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  - conf/icann/Gil-PitaRAL05
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Roberto Gil-Pita, Manuel Rosa-Zurera, Pilar Jarabo Amores, Francisco López-Ferreras:
Using Multilayer Perceptrons to Align High Range Resolution Radar Signals. ICANN (2) 2005: 911-916
[c21]
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  - conf/iwann/Vicen-BuenoGRUL05
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Raul Vicen-Bueno, Roberto Gil-Pita, Manuel Rosa-Zurera, Manuel Utrilla-Manso, Francisco López-Ferreras:
Multilayer Perceptrons Applied to Traffic Sign Recognition Tasks. IWANN 2005: 865-872
2004
[c20]
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  - conf/anns/Gil-PitaJRL04
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Roberto Gil-Pita, Pilar Jarabo Amores, Manuel Rosa-Zurera, Francisco López-Ferreras:
Enlarging Training Sets for Neural Networks. ANNs 2004: 25-33
[c19]
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Pilar Jarabo Amores, Roberto Gil-Pita, Manuel Rosa-Zurera, Francisco López-Ferreras:
On the Capability of Neural Networks to Approximate the Neyman-Pearson Detector: A Theoretical Study. ANNs 2004: 69-76
2003
[c17]
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  - conf/iwann/AmoresGRL03
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Pilar Jarabo Amores, Roberto Gil-Pita, Manuel Rosa-Zurera, Francisco López-Ferreras:
MLP and RBFN for Detecting White Gaussian Signals in White Gaussian Interference. IWANN (2) 2003: 790-797
2002
[c15]
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  - conf/nnsp/Gil-PitaARL02
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Roberto Gil-Pita, Pilar Jarabo Amores, Manuel Rosa-Zurera, Francisco López-Ferreras:
Improving neural classifiers for ATR using a kernel method for generating synthetic training sets. NNSP 2002: 425-434

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