María-Pilar Jarabo-Amores

Author

Also Known As

Jarabo-Amores, Pilar, M P Jarabo-Amores, M. P. Jarabo-Amores, M. Pilar Jarabo-Amores, M.-P. Jarabo-Amores, M.P Jarabo, M.P. Jarabo, M.P. Jarabo Amores, M.P. Jarabo-Amores, Maria P. Jarabo-Amores

105

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

Universidad de Alcalá Universitat Rovira i Virgili Universidad Complutense de Madrid American Museum of Natural History Institut Català de Paleoecologia Humana i Evolució Social

About

María-Pilar Jarabo-Amores is an author at Universidad de Alcalá specializing in signal processing, engineering, and radar.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	24	573
2	Health Sciences	3	3	94
3	Language Studies	2	2	76
4	Social Sciences	1	1	23
5	Biostatistics	1	1	31

María-Pilar Jarabo-Amores

Publications

763

Citations

H-Index

Page 1

	Year	Citations
Classification of aircraft using micro-Doppler bicoherence-based features Pavlo Molchanov, Karen Egiazarian, Jaakko Astola, IEEE Transactions on Aerospace and Electronic Systems EngineeringBicoherence EstimatesAerial Radar TargetsImage AnalysisPattern Recognition	2014	69
Neanderthals and Homo sapiens had similar auditory and speech capacities Mercedes Conde‐Valverde, Ignacio Martı́nez, Rolf Quam, Nature Ecology & Evolution Auditory ProcessingNeurolinguisticsLinguisticsAuditory PhysiologyHomo Sapiens	2021	62
IDEPAR: a multichannel digital video broadcasting‐terrestrial passive radar technological demonstrator in terrestrial radar scenarios María-Pilar Jarabo-Amores, José-Luis Bárcena-Humanes, Pedro Gómez‐del‐Hoyo, IET Radar Sonar & Navigation EngineeringPrecision NavigationSystems EngineeringImaging RadarRadar Signal Processing	2016	43
Early hominin auditory capacities Rolf Quam, Ignacio Martı́nez, Manuel Rosa-Zurera, Science Advances	2015	40
Study of Two Error Functions to Approximate the Neyman–Pearson Detector Using Supervised Learning Machines María-Pilar Jarabo-Amores, Manuel Rosa-Zurera, Roberto Gil‐Pita, IEEE Transactions on Signal Processing Learning MachinesMachine LearningEngineeringNeyman-pearson DetectorError Functions	2009	36
Drone detection feasibility with passive radars María-Pilar Jarabo-Amores, David Mata‐Moya, Pedro Gómez‐del‐Hoyo, RadarEngineeringIdepar DemonstratorSynthetic Aperture RadarAerospace Engineering	2018	33
Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error María-Pilar Jarabo-Amores, David Mata‐Moya, Roberto Gil‐Pita, EURASIP Journal on Advances in Signal Processing Search OptimizationEngineeringMachine LearningClassification MethodData Science	2013	32
Statistical Analysis of SAR Sea Clutter for Classification Purposes Jaime Martín-de-Nicolás, María-Pilar Jarabo-Amores, David Mata‐Moya, Remote Sensing EngineeringOceanographyEarth ScienceData SciencePattern Recognition	2014	31
Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target’s Detection and Localization Nerea del-Rey-Maestre, David Mata‐Moya, María-Pilar Jarabo-Amores, Remote Sensing EngineeringSensor ArraySmart AntennaGround Target DetectionRadar Signal Processing	2017	28
Machine Learning Techniques for Coherent CFAR Detection Based on Statistical Modeling of UHF Passive Ground Clutter Nerea del-Rey-Maestre, María-Pilar Jarabo-Amores, David Mata‐Moya, IEEE Journal of Selected Topics in Signal Processing EngineeringMachine LearningMachine Learning TechniquesGround ClutterNoise	2017	27

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