E.T.S.I. DE INFORMÁTICA
2020
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Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation
Proceedings - International Conference on Pattern Recognition
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Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs
IEEE Access, Vol. 8, pp. 79552-79560
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Content based image retrieval by ensembles of deep learning object classifiers
Integrated Computer-Aided Engineering, Vol. 27, Núm. 3, pp. 317-331
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DEEP AUTOENCODER ARCHITECTURES FOR FOREGROUND OBJECT DETECTION IN VIDEO SEQUENCES BASED ON PROBABILISTIC MIXTURE MODELS
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
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Dealing with scarce labelled data: Semi-supervised deep learning with mix match for Covid-19 detection using chest X-ray images
Proceedings - International Conference on Pattern Recognition
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Deep Autoencoder Architectures for Foreground Object Detection in Video Sequences Based on Probabilistic Mixture Models
Proceedings - International Conference on Image Processing, ICIP
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Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras
Integrated Computer-Aided Engineering, Vol. 27, Núm. 4, pp. 373-387
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Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest
Neural Processing Letters, Vol. 52, Núm. 3, pp. 2537-2563
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Foreground detection by ensembles of random polygonal tilings
Expert Systems with Applications, Vol. 161
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Foreground detection by probabilistic mixture models using semantic information from deep networks
Frontiers in Artificial Intelligence and Applications
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ILGaCo: Incremental learning of gait covariate factors
IJCB 2020 - IEEE/IAPR International Joint Conference on Biometrics
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Image Clustering Using a Growing Neural Gas with Forbidden Regions
Proceedings of the International Joint Conference on Neural Networks
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Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
Neural Computing and Applications, Vol. 32, Núm. 17, pp. 14173-14193
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Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolution
Integrated Computer-Aided Engineering, Vol. 27, Núm. 3, pp. 233-251
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Rotation equivariant convolutional neural networks for hyperspectral image classification
IEEE Access, Vol. 8, pp. 179575-179591
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Super-Resolution of 3D MRI Corrupted by Heavy Noise with the Median Filter Transform
Proceedings - International Conference on Image Processing, ICIP
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The effect of downsampling–upsampling strategy on foreground detection algorithms
Artificial Intelligence Review, Vol. 53, Núm. 7, pp. 4935-4965
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The effect of image enhancement algorithms on convolutional neural networks
Proceedings - International Conference on Pattern Recognition