Works matching AU López-Rubio, Ezequiel
Results: 29
Computational Functionalism for the Deep Learning Era.
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- Minds & Machines, 2018, v. 28, n. 4, p. 667, doi. 10.1007/s11023-018-9480-7
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Improving Medical Image Segmentation Using Test-Time Augmentation with MedSAM.
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- Mathematics (2227-7390), 2024, v. 12, n. 24, p. 4003, doi. 10.3390/math12244003
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Throwing light on black boxes: emergence of visual categories from deep learning.
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- Synthese, 2021, v. 198, n. 10, p. 10021, doi. 10.1007/s11229-020-02700-5
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Data science and molecular biology: prediction and mechanistic explanation.
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- Synthese, 2021, v. 198, n. 4, p. 3131, doi. 10.1007/s11229-019-02271-0
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- Article
Improved detection of small objects in road network sequences using CNN and super resolution.
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- Expert Systems, 2022, v. 39, n. 2, p. 1, doi. 10.1111/exsy.12930
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Panorama construction for PTZ camera surveillance with the neural gas network.
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- Expert Systems, 2018, v. 35, n. 2, p. 1, doi. 10.1111/exsy.12249
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Growing Neural Forest-Based Color Quantization Applied to RGB Images.
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- International Journal of Computer Vision & Image Processing, 2017, v. 7, n. 3, p. 13, doi. 10.4018/IJCVIP.2017070102
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A Growing Neural Gas Approach to Classify Vehicles in Traffic Environments.
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- International Journal of Computer Vision & Image Processing, 2017, v. 7, n. 3, p. 1, doi. 10.4018/IJCVIP.2017070101
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Regression of the Rician Noise Level in 3D Magnetic Resonance Images from the Distribution of the First Significant Digit.
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- Axioms (2075-1680), 2023, v. 12, n. 12, p. 1117, doi. 10.3390/axioms12121117
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Foreground object detection for video surveillance by fuzzy logic based estimation of pixel illumination states.
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- Logic Journal of the IGPL, 2018, v. 26, n. 6, p. 593, doi. 10.1093/jigpal/jzy024
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A self-organizing map to improve vehicle detection in flow monitoring systems.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2015, v. 19, n. 9, p. 2499, doi. 10.1007/s00500-014-1575-3
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Improving Art Style Classification Through Data Augmentation Using Diffusion Models.
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- Electronics (2079-9292), 2024, v. 13, n. 24, p. 5038, doi. 10.3390/electronics13245038
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Real-Time Deep Learning Framework for Accurate Speed Estimation of Surrounding Vehicles in Autonomous Driving.
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- Electronics (2079-9292), 2024, v. 13, n. 14, p. 2790, doi. 10.3390/electronics13142790
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The Impact of Noise and Brightness on Object Detection Methods.
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- Sensors (14248220), 2024, v. 24, n. 3, p. 821, doi. 10.3390/s24030821
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Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation.
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- Sensors (14248220), 2023, v. 23, n. 16, p. 7185, doi. 10.3390/s23167185
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The effect of downsampling–upsampling strategy on foreground detection algorithms.
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- Artificial Intelligence Review, 2020, v. 53, n. 7, p. 4935, doi. 10.1007/s10462-020-09811-y
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The effect of noise on foreground detection algorithms.
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- Artificial Intelligence Review, 2018, v. 49, n. 3, p. 407, doi. 10.1007/s10462-016-9525-3
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Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks.
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- International Journal of Neural Systems, 2024, v. 34, n. 11, p. 1, doi. 10.1142/S0129065724500576
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Foreground Detection by Competitive Learning for Varying Input Distributions.
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- International Journal of Neural Systems, 2018, v. 28, n. 5, p. -1, doi. 10.1142/S0129065717500563
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Learning Topologies with the Growing Neural Forest.
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- International Journal of Neural Systems, 2016, v. 26, n. 4, p. -1, doi. 10.1142/S0129065716500192
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BREGMAN DIVERGENCES FOR GROWING HIERARCHICAL SELF-ORGANIZING NETWORKS.
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- International Journal of Neural Systems, 2014, v. 24, n. 4, p. -1, doi. 10.1142/S0129065714500166
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FOREGROUND DETECTION IN VIDEO SEQUENCES WITH PROBABILISTIC SELF-ORGANIZING MAPS.
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- International Journal of Neural Systems, 2011, v. 21, n. 3, p. 225, doi. 10.1142/S012906571100281X
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ROBUST LOCATION AND SPREAD MEASURES FOR NONPARAMETRIC PROBABILITY DENSITY FUNCTION ESTIMATION.
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- International Journal of Neural Systems, 2009, v. 19, n. 5, p. 345, doi. 10.1142/S0129065709002075
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DYNAMIC COMPETITIVE PROBABILISTIC PRINCIPAL COMPONENTS ANALYSIS.
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- International Journal of Neural Systems, 2009, v. 19, n. 2, p. 91, doi. 10.1142/S0129065709001860
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An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection.
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- Neural Computing & Applications, 2023, v. 35, n. 30, p. 22151, doi. 10.1007/s00521-023-08904-3
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Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm.
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- Neural Computing & Applications, 2023, v. 35, n. 26, p. 18999, doi. 10.1007/s00521-023-08741-4
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Dynamic tree topology learning by self-organization.
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- Neural Computing & Applications, 2017, v. 28, n. 5, p. 911, doi. 10.1007/s00521-016-2250-7
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New learning rules for the ASSOM network.
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- Neural Computing & Applications, 2003, v. 12, n. 2, p. 109, doi. 10.1007/s00521-003-0376-x
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Computational Intelligence Techniques in Medicine.
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- Computational & Mathematical Methods in Medicine, 2015, v. 2015, p. 1, doi. 10.1155/2015/196976
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