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Disambiguation of "Luque-Baena, Rafael M."

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Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations.

, , , and . ICIP, page 1376-1380. IEEE, (2022)

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José Baena

Alejandro Luque Estepa

Rafael von M Martínez Castro

Rafael Plonka

Impact of the interface on the paraelectric-to-ferroelectric phase transition in epitaxial BaSrTiO_tn3 thin film capacitors. TU Aachen, (2007)

Rafael Bielmeier

 

Other publications of authors with the same name

Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks., , , , and . WorldCIST (2), volume 746 of Advances in Intelligent Systems and Computing, page 669-678. Springer, (2018)Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers., , , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (9): 1840-1850 (2016)Background Modeling for Video Sequences by Stacked Denoising Autoencoders., , , , and . CAEPIA, volume 11160 of Lecture Notes in Computer Science, page 341-350. Springer, (2018)Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences., , , , and . Pattern Recognit. Lett., (2019)Addressing the 5G Cell Switch-off Problem with a Multi-objective Cellular Genetic Algorithm., , , , and . 5G World Forum, page 422-426. IEEE, (2018)Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks., , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 2696-2703. IOS Press, (2020)Computer-Aided Diagnosis in Wound Images with Neural Networks., , , , , and . IWANN (2), volume 7903 of Lecture Notes in Computer Science, page 439-448. Springer, (2013)Stenosis detection in coronary angiography images using deep learning models., , , , and . MetroXRAINE, page 22-27. IEEE, (2022)Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks., , and . MetroXRAINE, page 16-21. IEEE, (2022)Moving Object Detection in Noisy Video Sequences Using Deep Convolutional Disentangled Representations., , , and . ICIP, page 1376-1380. IEEE, (2022)