Francisco López de la Rosa
Orcid: 0000-0002-1407-9886
According to our database1,
Francisco López de la Rosa
authored at least 11 papers
between 2021 and 2023.
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Bibliography
2023
Defect detection and classification on semiconductor wafers using two-stage geometric transformation-based data augmentation and SqueezeNet lightweight convolutional neural network.
Comput. Ind. Eng., September, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Fine-Tuned SqueezeNet Lightweight Model for Classifying Surface Defects in Hot-Rolled Steel.
Proceedings of the Advances in Computational Intelligence, 2023
2022
Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.
Sensors, 2022
Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network.
Expert Syst. Appl., 2022
One-dimensional convolutional neural networks for low/high arousal classification from electrodermal activity.
Biomed. Signal Process. Control., 2022
A deep residual neural network for semiconductor defect classification in imbalanced scanning electron microscope datasets.
Appl. Soft Comput., 2022
Detection of Unknown Defects in Semiconductor Materials from a Hybrid Deep and Machine Learning Approach.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
2021
Feeling of Safety and Comfort towards a Socially Assistive Unmanned Aerial Vehicle That Monitors People in a Virtual Home.
Sensors, 2021
Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity.
Proceedings of the Advances in Computational Intelligence, 2021