ERNESTO
FABREGAS ACOSTA
Profesor Titular Universidad
Pontificia Universidad Católica de Valparaíso
Valparaíso, ChilePublicaciones en colaboración con investigadores/as de Pontificia Universidad Católica de Valparaíso (42)
2024
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Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution
Energies , Vol. 17, Núm. 11
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Deep Learning Models to Reduce Stray Light in TJ-II Thomson Scattering Diagnostic
Sensors, Vol. 24, Núm. 9
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Enhancing Photovoltaic Power Predictions with Deep Physical Chain Model
Algorithms, Vol. 17, Núm. 10
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Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques
Mathematics, Vol. 12, Núm. 20
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Explainable anomaly detection in spacecraft telemetry
Engineering Applications of Artificial Intelligence, Vol. 133
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Uncertainty Detection in Supervisor–Operator Audio Records of Real Electrical Network Operations
Electronics (Switzerland), Vol. 13, Núm. 1
2023
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BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN
Sensors (Basel, Switzerland), Vol. 23, Núm. 3
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Development and Control of a Real Spherical Robot
Sensors, Vol. 23, Núm. 8
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Mobile Robot Navigation Based on Embedded Computer Vision
Mathematics, Vol. 11, Núm. 11
2022
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Deep learning exoplanets detection by combining real and synthetic data
PLoS ONE, Vol. 17, Núm. 5 May
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Human Activity Recognition by Sequences of Skeleton Features
Sensors, Vol. 22, Núm. 11
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Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator
Sensors, Vol. 22, Núm. 16
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Position Control of a Mobile Robot through Deep Reinforcement Learning
Applied Sciences (Switzerland), Vol. 12, Núm. 14
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Preliminary results with BERT for human activity recognition using skeleton sequences features
2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022
2021
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Fall Detection and Activity Recognition Using Human Skeleton Features
IEEE Access, Vol. 9, pp. 33532-33542
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Fall detection using human skeleton features
IET Conference Publications
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Fall detection using human skeleton features
IET Conference Proceedings
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Nuclear Fusion Pattern Recognition by Ensemble Learning
Complexity, Vol. 2021
2020
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A distributed vision-based navigation system for khepera iv mobile robots
Sensors (Switzerland), Vol. 20, Núm. 18, pp. 1-19
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Automatic Recognition of Anomalous Patterns in Discharges by Applying Deep Learning
Fusion Science and Technology, Vol. 76, Núm. 8, pp. 925-932