José L. Gómez-Sirvent

Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network

Francisco López de la Rosa, José L. Gómez-Sirvent, Roberto Sánchez-Reolid et al. · Expert Systems with Applications · 2022 · 78 citations

Data Augmentation, Convolutional Neural Network, Machine Vision +13

Optimal Feature Selection for Defect Classification in Semiconductor Wafers

José L. Gómez-Sirvent, Francisco López de la Rosa, Roberto Sánchez-Reolid et al. · IEEE Transactions on Semiconductor Manufacturing · 2022 · 37 citations

Optimal Feature Selection, Engineering, Machine Learning +19

Defect detection and classification on semiconductor wafers using two-stage geometric transformation-based data augmentation and SqueezeNet lightweight convolutional neural network

Francisco López de la Rosa, José L. Gómez-Sirvent, Rafael Morales et al. · Computers & Industrial Engineering · 2023 · 34 citations

Data Augmentation, Image Classification, Engineering +10

Training industrial engineers in Logistics 4.0

Lidia M. Belmonte, Eva Segura, Francisco López de la Rosa et al. · Computers & Industrial Engineering · 2023 · 22 citations

Training System, Engineering, Industrial Engineering +5

A deep residual neural network for semiconductor defect classification in imbalanced scanning electron microscope datasets

Francisco López de la Rosa, José L. Gómez-Sirvent, Rafael Morales et al. · Applied Soft Computing · 2022 · 13 citations