Aníbal Pedraza

Orcid: 0000-0001-7748-6756

According to our database1, Aníbal Pedraza authored at least 15 papers between 2017 and 2024.

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Bibliography

2024
Leveraging AutoEncoders and chaos theory to improve adversarial example detection.
Neural Comput. Appl., October, 2024

Deep Neural Networks for HER2 Grading of Whole Slide Images with Subclasses Levels.
Algorithms, March, 2024

2023
A review of image fusion: Methods, applications and performance metrics.
Digit. Signal Process., 2023

2022
Really natural adversarial examples.
Int. J. Mach. Learn. Cybern., 2022

Hyperdeep: Comparison of Ai-Based Methods for Predicting Chemical Components in Hyperspectral Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Parasitic Egg Detection with a Deep Learning Ensemble.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Parasitic Egg Detection and Classification with Transformer-Based Architectures.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
On the Relationship between Generalization and Robustness to Adversarial Examples.
Symmetry, 2021

2020
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

Robustness to adversarial examples can be improved with overfitting.
Int. J. Mach. Learn. Cybern., 2020

Approaching Adversarial Example Classification with Chaos Theory.
Entropy, 2020

2019
Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018
Glomerulus Classification and Detection Based on Convolutional Neural Networks.
J. Imaging, 2018

2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues.
CoRR, 2017

Glomerulus Classification with Convolutional Neural Networks.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017


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