Nahuel E. Garcia-D'Urso

According to our database, Nahuel E. Garcia-D'Urso authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Simultaneous, vision-based fish instance segmentation, species classification and size regression.

Pau Climent-Pérez, Alejandro Galán-Cuenca, Nahuel E. Garcia-D'Urso, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló

PeerJ Comput. Sci., 2024

2023

Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks.

Nahuel E. Garcia-D'Urso, Pablo Ramon Guevara, Jorge Azorín López, Marc Sebban, Amaury Habrard, Andrés Fuster Guilló

Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds.

Nahuel E. Garcia-D'Urso, Jorge Azorín López, Andrés Fuster Guilló

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets.

Alejandro Galán-Cuenca, Nahuel E. Garcia-D'Urso, Pau Climent-Pérez, Andrés Fuster Guilló, Jorge Azorín López

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

Advances in Human Body Modelling to Improve the Treatment of Obesity and Overweight.

Jorge Azorín López, Nahuel E. Garcia-D'Urso, Rosario Ferrer-Cascales, Andrés Fuster Guilló

Proceedings of the Research and Innovation Forum 2023 - Navigating Shocks and Crises in Uncertain Times, 2023

3D Human Body Models: Parametric and Generative Methods Review.

Nahuel Emiliano Garcia-D'Urso, Pablo Ramon Guevara, Jorge Azorín López, Andrés Fuster Guilló

Proceedings of the Advances in Computational Intelligence, 2023

2022

A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning.

Nahuel E. Garcia-D'Urso, Pau Climent-Pérez, Miriam Sánchez-Sansegundo, Ana Zaragoza-Martí, Andrés Fuster Guilló, Jorge Azorín López

IEEE Access, 2022

A Template-Based Method for Automatic Anthropometric Measurements from Multiple 3D Scans.

Nahuel E. Garcia-D'Urso, Jorge Azorín López, Andrés Fuster Guilló

Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning.

Pau Climent-Pérez, Alejandro Galán-Cuenca, Nahuel Emiliano Garcia-D'Urso, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

Efficient instance segmentation using deep learning for species identification in fish markets.

Nahuel E. Garcia-D'Urso, Alejandro Galán-Cuenca, Pau Climent-Pérez, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments.

Andrés Fuster Guilló, Jorge Azorín López, Marcelo Saval-Calvo, Juan Miguel Castillo Zaragoza, Nahuel E. Garcia-D'Urso, Robert B. Fisher

Sensors, 2020