María-Pilar Jarabo-Amores
Orcid: 0000-0001-5841-6613
According to our database1,
María-Pilar Jarabo-Amores
authored at least 68 papers
between 2001 and 2023.
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Bibliography
2023
Remote. Sens., February, 2023
2022
Adaptive Beamforming Approaches to Improve Passive Radar Performance in Sea and Wind Farms' Clutter.
Sensors, 2022
Sensors, 2022
2021
Design and Validation of a Reflectarray Antenna with Optimized Beam for Ground Target Monitoring with a DVB-S-Based Passive Radar.
Sensors, 2021
2019
Generalized Gamma Distribution SAR Sea Clutter Modelling for Oil Spill Candidates Detection.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Machine Learning Techniques for Coherent CFAR Detection Based on Statistical Modeling of UHF Passive Ground Clutter.
IEEE J. Sel. Top. Signal Process., 2018
Artificial intelligence techniques for small boats detection in radar clutter. Real data validation.
Eng. Appl. Artif. Intell., 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Approximating the Neyman-Pearson detector with 2C-SVMs. Application to radar detection.
Signal Process., 2017
Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target's Detection and Localization.
Remote. Sens., 2017
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017
On the potentials of satellite based passive radars for smart sensors networks in smart cities.
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017
Coherent VI-MLP-CFAR detector for IDEPAR demonstrator (DVB-T passive radar) in ground traffic monitoring.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017
2016
Distributed Physical Sensors Network for the Protection of Critical Infrastractures Against Physical Attacks.
Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016), 2016
2015
Feasibility Study of EO SARs as Opportunity Illuminators in Passive Radars: PAZ-Based Case Study.
Sensors, 2015
Expert Syst. Appl., 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
An adaptive threshold technique for the LR detector in K-clutter. Validation using IPIX radar.
Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015
MLP-based approximation to the Neyman Pearson detector in a terrestrial passive bistatic radar scenario.
Proceedings of the IEEE EUROCON 2015, 2015
Robustness of a Generalized Gamma CFAR ship detector applied to TerraSAR-X and Sentinel-1 images.
Proceedings of the IEEE EUROCON 2015, 2015
2014
IEEE Trans. Aerosp. Electron. Syst., 2014
Remote. Sens., 2014
2013
Radar detection with the Neyman-Pearson criterion using supervised-learning-machines trained with the cross-entropy error.
EURASIP J. Adv. Signal Process., 2013
Erratum: SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference.
Proceedings of the Advances in Computational Intelligence, 2013
SONN and MLP Based Solutions for Detecting Fluctuating Targets with Unknown Doppler Shift in Gaussian Interference.
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Incoherent detection of targets with unknown Doppler shift in spiky K-distributed clutter.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
Doppler Processors as Suboptimum Approaches for Detecting Targets with Unknown Doppler Shift.
Proceedings of the Fifth International Conference on Computational Intelligence, 2013
Proceedings of the Fifth International Conference on Computational Intelligence, 2013
Analysis of NNs Detectors for Targets with Unknown Correlation in Gaussian Interference.
Proceedings of the Fifth International Conference on Computational Intelligence, 2013
2012
Signal Process., 2012
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Detection of Ships in Marine Environments by Square Integration Mode and Multilayer Perceptrons.
IEEE Trans. Instrum. Meas., 2011
IEEE Trans. Instrum. Meas., 2011
2010
Coherent Detection of Swerling 0 Targets in Sea-Ice Weibull-Distributed Clutter Using Neural Networks.
IEEE Trans. Instrum. Meas., 2010
Importance Sampling for Objective Function Estimations in Neural Detector Training Driven by Genetic Algorithms.
Neural Process. Lett., 2010
Artificial Neural Network-Based Clutter Reduction Systems for Ship Size Estimation in Maritime Radars.
EURASIP J. Adv. Signal Process., 2010
Application of conventional marine radars for measuring ocean wave fields in shallow water conditions.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Application of diametrical clustering to tree-based matching pursuit for sinusoidal modeling.
Proceedings of the 18th European Signal Processing Conference, 2010
Montessori Method Adaptation for Teaching of Subjects of Graduate and Post-graduate Programmes.
Proceedings of the CSEDU 2010 - Proceedings of the Second International Conference on Computer Supported Education, Valencia, Spain, April 7-10, 2010, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Study of two error functions to approximate the Neyman-pearson detector using supervised learning machines.
IEEE Trans. Signal Process., 2009
IEEE Trans. Instrum. Meas., 2009
2008
MLP-Based Detection of Targets in Clutter: Robustness with Respect to the Shape Parameter of Weibull-Disitributed Clutter.
Proceedings of the Artificial Neural Networks, 2008
2007
Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size.
Proceedings of the Computational and Ambient Intelligence, 2007
Performance Analysis of MLP-Based Radar Detectors in Weibull-Distributed Clutter with Respect to Target Doppler Frequency.
Proceedings of the Artificial Neural Networks, 2007
Robustness with respect to the signal-to-noise ratio of MLP-based detectors in Weibull clutter.
Proceedings of the 15th European Signal Processing Conference, 2007
Proceedings of the 15th European Signal Processing Conference, 2007
2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Estimation of ocean wave heights from temporal sequences of X-Band marine radar images.
Proceedings of the 14th European Signal Processing Conference, 2006
Proceedings of the 14th European Signal Processing Conference, 2006
2005
Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Sensitivity of neural networks which approximate the Neyman-Pearson detector to threshold variations.
Proceedings of the 13th European Signal Processing Conference, 2005
2004
On the Capability of Neural Networks to Approximate the Neyman-Pearson Detector: A Theoretical Study.
Proceedings of the Artificial Neural Networks: Data preparation techniques and application development, 2004
Enlarging Training Sets for Neural Networks.
Proceedings of the Artificial Neural Networks: Data preparation techniques and application development, 2004
2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
2002
Improving neural classifiers for ATR using a kernel method for generating synthetic training sets.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
2001
Signal Process., 2001
Design of a Pre-processing Stage for Avoiding the Dependence on TSNR of a Neural Radar Detector.
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Time-frequency analysis as a tool for improving neural detectors for low probability of false alarm.
Proceedings of the 2001 8th IEEE International Conference on Electronics, 2001