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ORCIDAlejandro Galán-Cuenca
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2020 – today
- 2025
[j5]Samuel B. Oliva-Bulpitt, Juan Pedro Martinez-Esteso, Alejandro Galán-Cuenca, Francisco J. Castellanos, Antonio Javier Gallego:
Enhancing music score analysis with Monte Carlo dropout: a probabilistic approach to staff-region detection. Int. J. Document Anal. Recognit. 28(3): 441-456 (2025)- [c7]Juan Pedro Martinez-Esteso, Alejandro Galán-Cuenca, Carlos Pérez-Sancho, Francisco J. Castellanos, Antonio Javier Gallego:
Human vs. Machine: Comparing Selection Strategies in Active Learning for Optical Music Recognition. ISMIR 2025: 703-709 - 2024
- [j4]Alejandro Galán-Cuenca
, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa:
Few-shot learning for COVID-19 chest X-ray classification with imbalanced data: an inter vs. intra domain study. Pattern Anal. Appl. 27(3): 69 (2024) - [j3]Hanz Cuevas-Velasquez, Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Robert B. Fisher:
Global point cloud registration network for large transformations. Pattern Anal. Appl. 27(4): 137 (2024) - [j2]Pau Climent-Pérez, Alejandro Galán-Cuenca, Nahuel E. Garcia-D'Urso, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló:
Simultaneous, vision-based fish instance segmentation, species classification and size regression. PeerJ Comput. Sci. 10: e1770 (2024) - [j1]Hanz Cuevas-Velasquez, Alejandro Galán-Cuenca, Robert B. Fisher, Antonio Javier Gallego:
Efficient multi-task progressive learning for semantic segmentation and disparity estimation. Pattern Recognit. 154: 110601 (2024) - [c6]Francisco J. Castellanos, Juan Pedro Martinez-Esteso, Alejandro Galán-Cuenca, Antonio Javier Gallego:
A Region-Based Approach for Layout Analysis of Music Score Images in Scarce Data Scenarios. ICDAR (4) 2024: 58-75 - [c5]Alejandro Galán-Cuenca, Jose J. Valero-Mas, Juan C. Martinez-Sevilla, Antonio Hidalgo-Centeno, Antonio Pertusa, Jorge Calvo-Zaragoza:
MUSCAT: A Multimodal mUSic Collection for Automatic Transcription of Real Recordings and Image Scores. ACM Multimedia 2024: 583-591 - [i2]Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa:
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study. CoRR abs/2401.10129 (2024) - [i1]Hanz Cuevas-Velasquez, Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo, Robert B. Fisher:
Global Point Cloud Registration Network for Large Transformations. CoRR abs/2403.18040 (2024) - 2023
- [c4]Alejandro Galán-Cuenca, Miguel Mirón, Antonio Javier Gallego, Marcelo Saval-Calvo, Antonio Pertusa:
Inter vs. Intra Domain Study of COVID Chest X-Ray Classification with Imbalanced Datasets. IbPRIA 2023: 507-519 - [c3]Alejandro Galán-Cuenca, Nahuel E. Garcia-D'Urso, Pau Climent-Pérez, Andrés Fuster Guilló, Jorge Azorín López:
A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets. SOCO (2) 2023: 173-183 - 2022
- [c2]Nahuel E. Garcia-D'Urso, Alejandro Galán-Cuenca, Pau Climent-Pérez, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló:
Efficient instance segmentation using deep learning for species identification in fish markets. IJCNN 2022: 1-8 - [c1]Pau Climent-Pérez, Alejandro Galán-Cuenca, Nahuel Emiliano Garcia-D'Urso, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló:
Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning. SOCO 2022: 319-329
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