José A. Guzmán-Torres

Effective medium crack classification on laboratory concrete specimens via competitive machine learning

José A. Guzmán-Torres, M.Z. Naser, Francisco J. Domínguez-Mota · Structures · 2022 · 40 citations

Data Classification, Classification Method, Image Analysis +13

Extreme fine-tuning and explainable AI model for non-destructive prediction of concrete compressive strength, the case of ConcreteXAI dataset

José A. Guzmán-Torres, Francisco J. Domínguez-Mota, G. Tinoco-Guerrero et al. · Advances in Engineering Software · 2024 · 22 citations

Artificial Intelligence, Engineering, Machine Learning +12

Damage detection on steel-reinforced concrete produced by corrosion via YOLOv3: A detailed guide

José A. Guzmán-Torres, Francisco J. Domínguez-Mota, Wilfrido Martínez Molina et al. · Frontiers in Built Environment · 2023 · 18 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +25

A multi-layer approach to classify the risk of corrosion in concrete specimens that contain different additives

José A. Guzmán-Torres, Francisco J. Domínguez-Mota, Elía Mercedes Alonso Guzmán · Case Studies in Construction Materials · 2021 · 17 citations · Full text

Artificial Intelligence, Multi-layer Approach, Convolutional Neural Network +24

Estimating the flexural strength of concrete using compressive strength as input value in a deep learning model

José A. Guzmán-Torres, Francisco J. Domínguez-Mota, Elía Mercedes Alonso Guzmán · IOP Conference Series Materials Science and Engineering · 2021 · 14 citations · Full text