Daniela Lopez-Betancur

Orcid: 0000-0003-0710-6062

According to our database1, Daniela Lopez-Betancur authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

Convolutional Neural Network Models for Classifying of Peach (Prunus persica L).
Proceedings of the Advances in Computational Intelligence. MICAI 2024 International Workshops, 2024

Cleaning Binary Distortion on MNIST Dataset.
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


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