Daniela Lopez-Betancur
Orcid: 0000-0003-0710-6062
According to our database1,
Daniela Lopez-Betancur authored at least 13 papers
between 2021 and 2026.
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Collaborative distances:
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Bibliography
2026
Spectral analysis of distorted and autoencoder-reconstructed MNIST images in a kernel-induced feature space.
Int. J. Comb. Optim. Probl. Informatics, 2026
Quality and Randomness Assessment of Images Generated by a Convolutional Autoencoder.
Int. J. Comb. Optim. Probl. Informatics, 2026
2025
Application of Deep Learning for Automated Peach Classification: A Study Based on ResNet Architectures.
Int. J. Comb. Optim. Probl. Informatics, 2025
VitralColor-12: A Synthetic Twelve-Color Segmentation Dataset from GPT-Generated Stained-Glass Images.
Data, 2025
Automatic Classification of Egg Freshness Using Ovoscopic Imaging and Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence. MICAI 2025 International Workshops, 2025
Visual Analysis of MNIST Convolutional Autoencoder Reconstructions via Linear Dimensionality Reduction.
Proceedings of the Advances in Computational Intelligence. MICAI 2025 International Workshops, 2025
2024
Convolutional Neural Networks for Real Time Classification of Beehive Acoustic Patterns on Constrained Devices.
Sensors, October, 2024
Evaluating CNN Models and Optimization Techniques for Quality Classification of Dried Chili Peppers (Capsicum annuum L.).
Int. J. Comb. Optim. Probl. Informatics, 2024
Proceedings of the Advances in Computational Intelligence. MICAI 2024 International Workshops, 2024
Proceedings of the Advances in Computational Intelligence. MICAI 2024 International Workshops, 2024
2023
Analysis of Convolutional Neural Network Models for Classifying the Quality of Dried Chili Peppers (Capsicum Annuum L).
Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023
2022
Salt and Pepper Noise Estimation in a Digital Image Using Convolutional Neural NetworK.
Res. Comput. Sci., 2022
2021
Comparación de arquitecturas de redes neuronales convolucionales para el diagnóstico de COVID-19.
Computación y Sistemas, 2021