DAVID
ORTIZ PEREZ
INVESTIGADOR/A PREDOCTORAL
JOSE
GARCIA RODRIGUEZ
CATEDRATICO/A DE UNIVERSIDAD
Publications dans lesquelles il/elle collabore avec JOSE GARCIA RODRIGUEZ (14)
2024
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Automated Generation of Clinical Reports Using Sensing Technologies with Deep Learning Techniques
Sensors, Vol. 24, Núm. 9
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Deep Learning for Enhanced Risk Assessment in Home Environments
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Exploring Text-Driven Approaches for Online Action Detection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Lightweight CNNs for Advanced Bird Species Recognition on the Edge
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Multimodal Fusion Strategies for Emotion Recognition
Proceedings of the International Joint Conference on Neural Networks
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Text-Driven Data Augmentation Tool for Synthetic Bird Behavioural Generation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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UnrealFall: Overcoming Data Scarcity through Generative Models
Proceedings of the International Joint Conference on Neural Networks
2023
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A Comprehensive Study on Pain Assessment from Multimodal Sensor Data
Sensors, Vol. 23, Núm. 24
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A Deep Learning-Based Multimodal Architecture to predict Signs of Dementia
Neurocomputing, Vol. 548
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Deep Learning-Based Dementia Prediction Using Multimodal Data
Lecture Notes in Networks and Systems
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Deep Learning-Based Emotion Detection in Aphasia Patients
Lecture Notes in Networks and Systems
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Indoor Scenes Video Captioning
Lecture Notes in Networks and Systems
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POSEIDON: A Data Augmentation Tool for Small Object Detection Datasets in Maritime Environments
Sensors (Basel, Switzerland), Vol. 23, Núm. 7
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Small Vessel Detection in Changing Seaborne Environments Using Anchor-Free Detectors on Aerial Images
Lecture Notes in Networks and Systems