Alejandro Galán-Cuenca

According to our database, Alejandro Galán-Cuenca authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study.

Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa

Pattern Anal. Appl., September, 2024

Efficient multi-task progressive learning for semantic segmentation and disparity estimation.

Hanz Cuevas-Velasquez, Alejandro Galán-Cuenca, Robert B. Fisher, Antonio Javier Gallego

Pattern Recognit., 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

Global Point Cloud Registration Network for Large Transformations.

Hanz Cuevas-Velasquez, Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Robert B. Fisher

CoRR, 2024

A Region-Based Approach for Layout Analysis of Music Score Images in Scarce Data Scenarios.

Francisco J. Castellanos, Juan P. Martinez-Esteso, Alejandro Galán-Cuenca, Antonio Javier Gallego

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

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

Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets.

Alejandro Galán-Cuenca, Miguel Mirón, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

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