Alejandro Galán-Cuenca

Orcid: 0000-0002-5799-6270

According to our database1, Alejandro Galán-Cuenca authored at least 10 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Global point cloud registration network for large transformations.
Pattern Anal. Appl., December, 2024

Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study.
Pattern Anal. Appl., September, 2024

Efficient multi-task progressive learning for semantic segmentation and disparity estimation.
Pattern Recognit., 2024

Simultaneous, vision-based fish instance segmentation, species classification and size regression.
PeerJ Comput. Sci., 2024

MUSCAT: A Multimodal mUSic Collection for Automatic Transcription of Real Recordings and Image Scores.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Region-Based Approach for Layout Analysis of Music Score Images in Scarce Data Scenarios.
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.
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.
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.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022


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