José L. Gómez-Sirvent

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Training Dataset

Defect Classification

Class Imbalanced

Top Venues

Comput. Ind. Eng.

Expert Syst. Appl.

Appl. Soft Comput.

Publications

Francisco López de la Rosa, José L. Gómez-Sirvent, Lidia M. Belmonte, Rafael Morales, Antonio Fernández-Caballero
Fine-Tuned SqueezeNet Lightweight Model for Classifying Surface Defects in Hot-Rolled Steel. IWANN (1) (2023)
Lidia M. Belmonte, Eva Segura, Francisco López de la Rosa, José L. Gómez-Sirvent, Antonio Fernández-Caballero, Rafael Morales
Training industrial engineers in Logistics 4.0. Comput. Ind. Eng. 184 (2023)
Francisco López de la Rosa, José L. Gómez-Sirvent, Rafael Morales, Roberto Sánchez-Reolid, Antonio Fernández-Caballero
Defect detection and classification on semiconductor wafers using two-stage geometric transformation-based data augmentation and SqueezeNet lightweight convolutional neural network. Comput. Ind. Eng. 183 (2023)
Francisco López de la Rosa, José L. Gómez-Sirvent, Corinna Kofler, Rafael Morales, Antonio Fernández-Caballero
Detection of Unknown Defects in Semiconductor Materials from a Hybrid Deep and Machine Learning Approach. IWINAC (1) (2022)
Francisco López de la Rosa, José L. Gómez-Sirvent, Roberto Sánchez-Reolid, Rafael Morales, Antonio Fernández-Caballero
Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network. Expert Syst. Appl. 206 (2022)
Francisco López de la Rosa, José L. Gómez-Sirvent, Rafael Morales, Roberto Sánchez-Reolid, Antonio Fernández-Caballero
A deep residual neural network for semiconductor defect classification in imbalanced scanning electron microscope datasets. Appl. Soft Comput. 131 (2022)