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PILAR JARABO-AMORES
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Name
Affiliation
Papers
PILAR JARABO-AMORES
Signal Theory and Communications Department, Superior Polytechnic School, University of Alcala, Alcala de Henares, Madrid, Spain
15
Collaborators
Citations
PageRank
23
58
7.26
Referers
Referees
References
127
259
192
Search Limit
100
259
Publications (15 rows)
Collaborators (23 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Artificial intelligence techniques for small boats detection in radar clutter. Real data validation.
0
0.34
2018
Machine Learning Techniques for Coherent CFAR Detection Based on Statistical Modeling of UHF Passive Ground Clutter.
0
0.34
2018
Approximating the Neyman-Pearson detector with 2C-SVMs. Application to radar detection.
2
0.42
2017
MLP-CFAR for improving coherent radar detectors robustness in variable scenarios.
2
0.39
2015
Classification of aircraft using micro-Doppler bicoherence-based features
8
0.59
2014
SONN and MLP based solutions for detecting fluctuating targets with unknown doppler shift in gaussian interference
0
0.34
2013
Neural network based solutions for ship detection in SAR images
0
0.34
2013
Radar detection with the Neyman-Pearson criterion using supervised-learning-machines trained with the cross-entropy error.
5
0.41
2013
Supervised landmask estimation using contextual information in SAR data.
0
0.34
2012
Detection Of Ships In Marine Environments By Square Integration Mode And Multilayer Perceptrons
4
0.55
2011
Spatial-Range Mean-Shift Filtering And Segmentation Applied To Sar Images
11
0.78
2011
Montessori Method Adaptation For Teaching Of Subjects Of Graduate And Post-Graduate Programmes
0
0.34
2010
Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks
3
0.45
2010
Combining MLPs and RBFNNs to Detect Signals With Unknown Parameters
13
1.00
2009
Study of two error functions to approximate the Neyman-pearson detector using supervised learning machines
10
0.63
2009
1