Belén Carro

Prof.

Universidad de Valladolid

Spain

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Prof. Belén Carro is a faculty member at Universidad de Valladolid in Spain. Her research focuses on advanced techniques in network intrusion detection, predictive modeling for electric load forecasting, and the application of deep learning in fluid dynamics. She has contributed significantly to the field with recent articles addressing contrastive learning, data-driven models, and the implications of SARS-CoV-2 on human health.

Articles (10)

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (2)

JOSÉ MIGUEL PÉREZ PÉREZ

Universidad Politécnica de Madrid

SPAIN

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Juan Arribas

Associate Professor

Universidad de Valladolid

SPAIN

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Belén Carro

Research Interests

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Articles (10)

Contrastive Learning Over Random Fourier Features for IoT Network Intrusion Detection

Supervised contrastive learning over prototype-label embeddings for network intrusion detection

A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures

Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting

Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting

Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting

Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting

SARS-CoV-2 mechanisms of action and impact on human organism, risk factors and potential treatments. An exhaustive survey

Model-free short-term fluid dynamics estimator with a deep 3D-convolu-tional neural network

Network Intrusion Detection Based on Extended RBF Neural Network with Offline Reinforcement Learning

Collaborators (2)

JOSÉ MIGUEL PÉREZ PÉREZ

Juan Arribas

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