María-Pilar Jarabo-Amores

According to our database1, María-Pilar Jarabo-Amores authored at least 64 papers between 2001 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

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

ECA Filter Effects on Ground Clutter Statistics in DVB- T Based Passive Radar.
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

2C-SVM Based Radar Detectors in Gaussian and K-Distributed Real Interference.
Proceedings of the Advances in Computational Intelligence, 2017

Design of a broadband patch antenna for a DVB-T based passive radar antenna array.
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

MLP-CFAR for improving coherent radar detectors robustness in variable scenarios.
Expert Syst. Appl., 2015

A non-parametric CFAR detector based on SAR sea clutter statistical modeling.
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
Classification of aircraft using micro-Doppler bicoherence-based features.
IEEE Trans. Aerosp. Electron. Syst., 2014

Statistical Analysis of SAR Sea Clutter for Classification Purposes.
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

Sea Clutter Neural Network Classifier: Feature Selection and MLP Design.
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

Neural network based solutions for ship detection in SAR images.
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

Segmentation Techniques for Land Mask Estimation in SAR Imagery.
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
Speech source separation using a generalized mean shift algorithm.
Signal Process., 2012

Supervised landmask estimation using contextual information in SAR data.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Demonstrator of maritime SAR applications: Automatic ship detection results.
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

Spatial-Range Mean-Shift Filtering and Segmentation Applied to SAR Images.
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
Intelligent Radar Detectors.
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

Combining MLPs and RBFNNs to Detect Signals With Unknown Parameters.
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

Wavelet denoising with edge detection for speckle reduction in SAR images.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
NN-Based Detector for Known Targets in Coherent Weibull Clutter.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Neural Network Detectors for Composite Hypothesis Tests.
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

A neural network approach to improve radar detector robustness.
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

Using Multilayer Perceptrons to Align High Range Resolution Radar Signals.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Complexity reduction in Neural Networks applied to traffic sign recognition tasks.
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
Adaptive wavelet-packet analysis for audio coding purposes.
Signal Process., 2003

Neural Solutions for High Range Resolution Radar Classification.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

MLP and RBFN for Detecting White Gaussian Signals in White Gaussian Interference.
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
A new algorithm for translating psycho-acoustic information to the wavelet domain.
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


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