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Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise.

J. Cantero, A. Colomer, L. Launet, A. Duchevet, T. de la Hogue, J. Imbert, and V. Naranjo. IDEAL, volume 13756 of Lecture Notes in Computer Science, page 491-499. Springer, (2022)

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Valery Makhavikou

Valéry Schmid

Valery Kardanov

Valery Radchenko

Valery Stojanow

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Multimodal registration of optical microscopic and infrared spectroscopic images from different tissue sections: An application to colon cancer.F. Peñaranda, V. Naranjo, R. Monedero, G. Lloyd, J. Nallala, and N. Stone. Digit. Signal Process., (2017)Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections.J. Silva-Rodríguez, P. Salvador, V. Naranjo, and R. Insa. Expert Syst. Appl., (2022)Brain Activity Quantification for Sport Audiovisual Content Visualization using EEG.A. Colomer, V. Naranjo, J. Guixeres, J. Rojas, J. Coret, and M. Raya. BIOSIGNALS, page 145-149. SciTePress, (2015)Augmented Reality System for Keyhole Surgery - Performance and Accuracy Validation.J. Fuertes, F. López-Mir, V. Naranjo, M. Ortega, E. Villanueva, and M. Raya. GRAPP, page 273-279. SciTePress, (2011)Discrimination of skin cancer cells using Fourier transform infrared spectroscopy.F. Peñaranda, V. Naranjo, G. Lloyd, L. Kastl, B. Kemper, J. Schnekenburger, J. Nallala, and N. Stone. Comput. Biol. Medicine, (2018)Supervised Domain Adaptation for Automated Semantic Segmentation of the Atrial Cavity.M. Saiz-Vivó, A. Colomer, C. Fonfría, L. Martí-Bonmatí, and V. Naranjo. Entropy, 23 (7): 898 (2021)A TV-based image processing framework for blind color deconvolution and classification of histological images.F. Pérez-Bueno, M. López-Pérez, M. Vega, J. Mateos, V. Naranjo, R. Molina, and A. Katsaggelos. Digit. Signal Process., (2020)Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data.R. del Amor, F. Curieses, L. Launet, A. Colomer, A. Moscardó, A. Mosquera-Zamudio, C. Monteagudo, and V. Naranjo. IVMSP, page 1-5. IEEE, (2022)Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis.L. Launet, R. del Amor, A. Colomer, A. Mosquera-Zamudio, A. Moscardó, C. Monteagudo, Z. Zhao, and V. Naranjo. IDEAL, volume 13756 of Lecture Notes in Computer Science, page 64-72. Springer, (2022)A New Approach in Metal Artifact Reduction for CT 3D Reconstruction.V. Naranjo, R. Lloréns, P. Paniagua, M. Raya, and S. Albalat. IWINAC (2), volume 5602 of Lecture Notes in Computer Science, page 11-19. Springer, (2009)

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Disambiguation of "Naranjo, Valery"

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Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise.

Please choose a person to relate this publication to

Valery Makhavikou

Valéry Schmid

Valery Kardanov

Valery Radchenko

Valery Stojanow

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Naranjo, Valery"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise.

Please choose a person to relate this publication to

Valery Makhavikou

Valéry Schmid

Valery Kardanov

Valery Radchenko

Valery Stojanow

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise.