| Generalized Gamma Distribution Sar Sea Clutter Modelling For Oil Spill Candidates Detection | 0 | 0.34 | 2019 |
| ECA Filter Effects on Ground Clutter Statistics in DVB- T Based Passive Radar. | 0 | 0.34 | 2018 |
| 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 |
| 2C-SVM Based Radar Detectors in Gaussian and K-Distributed Real Interference. | 0 | 0.34 | 2017 |
| Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target's Detection and Localization. | 2 | 0.37 | 2017 |
| Design of a broadband patch antenna for a DVB-T based passive radar antenna array | 0 | 0.34 | 2017 |
| Approximating the Neyman-Pearson detector with 2C-SVMs. Application to radar detection. | 2 | 0.42 | 2017 |
| On the potentials of satellite based passive radars for smart sensors networks in smart cities | 0 | 0.34 | 2017 |
| Coherent VI-MLP-CFAR detector for IDEPAR demonstrator (DVB-T passive radar) in ground traffic monitoring | 0 | 0.34 | 2017 |
| Distributed Physical Sensors Network for the Protection of Critical Infrastractures Against Physical Attacks. | 0 | 0.34 | 2016 |
| MLP-CFAR for improving coherent radar detectors robustness in variable scenarios. | 2 | 0.39 | 2015 |
| Feasibility Study of EO SARs as Opportunity Illuminators in Passive Radars: PAZ-Based Case Study. | 2 | 0.72 | 2015 |
| Passive Radars As Low Environmental Impact Solutions For Smart Cities Traffic Monitoring | 1 | 0.37 | 2015 |
| Mlp-Based Approximation To The Neyman Pearson Detector In A Terrestrial Passive Bistatic Radar Scenario | 0 | 0.34 | 2015 |
| Statistical Analysis of SAR Sea Clutter for Classification Purposes | 6 | 0.50 | 2014 |
| SONN and MLP based solutions for detecting fluctuating targets with unknown doppler shift in gaussian interference | 0 | 0.34 | 2013 |
| DLP: A tool to develop technical and soft skills in engineering | 2 | 0.38 | 2013 |
| Sea clutter neural network classifier: feature selection and MLP design | 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 |
| Erratum: SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference. | 0 | 0.34 | 2013 |
| Supervised landmask estimation using contextual information in SAR data. | 0 | 0.34 | 2012 |
| Demonstrator of maritime SAR applications: Automatic ship detection results | 2 | 0.41 | 2012 |
| 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 |
| Application of conventional marine radars for measuring ocean wave fields in shallow water conditions | 0 | 0.34 | 2010 |
| Combining MLPs and RBFNNs to Detect Signals With Unknown Parameters | 13 | 1.00 | 2009 |
| Robustness with respect to the signal-to-noise ratio of MLP-based detectors in Weibull clutter | 0 | 0.34 | 2007 |
| Performance analysis of MLP-based radar detectors in weibull-distributed clutter with respect to target doppler frequency | 0 | 0.34 | 2007 |
| Estimation of ocean wave heights from temporal sequences of X-Band marine radar images | 1 | 0.35 | 2006 |
