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
100259
Title
Citations
PageRank
Year
Artificial intelligence techniques for small boats detection in radar clutter. Real data validation.00.342018
Machine Learning Techniques for Coherent CFAR Detection Based on Statistical Modeling of UHF Passive Ground Clutter.00.342018
Approximating the Neyman-Pearson detector with 2C-SVMs. Application to radar detection.20.422017
MLP-CFAR for improving coherent radar detectors robustness in variable scenarios.20.392015
Classification of aircraft using micro-Doppler bicoherence-based features80.592014
SONN and MLP based solutions for detecting fluctuating targets with unknown doppler shift in gaussian interference00.342013
Neural network based solutions for ship detection in SAR images00.342013
Radar detection with the Neyman-Pearson criterion using supervised-learning-machines trained with the cross-entropy error.50.412013
Supervised landmask estimation using contextual information in SAR data.00.342012
Detection Of Ships In Marine Environments By Square Integration Mode And Multilayer Perceptrons40.552011
Spatial-Range Mean-Shift Filtering And Segmentation Applied To Sar Images110.782011
Montessori Method Adaptation For Teaching Of Subjects Of Graduate And Post-Graduate Programmes00.342010
Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks30.452010
Combining MLPs and RBFNNs to Detect Signals With Unknown Parameters131.002009
Study of two error functions to approximate the Neyman-pearson detector using supervised learning machines100.632009