A. Sánchez-Esguevillas

发表

The role of metaphors in the development of technologies. The case of the artificial intelligence

J. Carbonell, A. Sánchez-Esguevillas, B. Carro, 2016 .

From data analysis to storytelling in scenario building. A semiotic approach to purpose-dependent writing of stories

Antonio Sánchez-Esguevillas, Belén Carro, Javier Carbonell, 2017 .

Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses

Manuel López Martín, Antonio Sánchez-Esguevillas, Belén Carro, 2021, Knowl. Based Syst..

COST Action 272 “ Packet-Or iented Service Delivery via Satellite” Review and trends on channel modelling and mitigation techniques for GEO and non-GEO system design TD-01-002-P

F. Pérez-Fontán, M. Vázquez-Castro, A. Sánchez-Esguevillas, 2001 .

Low-Thrust Orbital Transfer using Dynamics-Agnostic Reinforcement Learning

Carlos M. Casas, A. Sánchez-Esguevillas, B. Carro, 2022, ArXiv.

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

Manuel López Martín, Antonio Sánchez-Esguevillas, Belén Carro, 2021, Inf. Fusion.

Application of deep reinforcement learning to intrusion detection for supervised problems

Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, 2020, Expert Syst. Appl..

Shallow neural network with kernel approximation for prediction problems in highly demanding data networks

Jaime Lloret, Manuel López Martín, Antonio Sánchez-Esguevillas, 2019, Expert Syst. Appl..

Intelligent IoT Traffic Classification Using Novel Search Strategy for Fast-Based-Correlation Feature Selection in Industrial Environments

Jaime Lloret, Belén Carro, Antonio Sánchez-Esguevillas, 2018, IEEE Internet of Things Journal.

Classification and Clustering of Electricity Demand Patterns in Industrial Parks

Belén Carro, Carlos Baladrón, Luis Hernandez, 2012 .

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

Manuel Lopez-Martin, Belen Carro, Antonio Sanchez-Esguevillas, 2021, Applied Sciences.

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

Luis Hernández-Callejo, Manuel López Martín, Antonio Sánchez-Esguevillas, 2021, Sensors.

A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings

Jaime Lloret, Antonio Sánchez-Esguevillas, Belén Carro, 2014, IEEE Communications Surveys & Tutorials.

Easing the assessment of emerging technologies in technology observatories. Findings about patterns of dissemination of emerging technologies on the internet

Antonio Sánchez-Esguevillas, Belén Carro, Javier Carbonell, 2018, Technol. Anal. Strateg. Manag..

Variational data generative model for intrusion detection

Manuel Lopez-Martin, Antonio Sanchez-Esguevillas, Belen Carro, 2018, Knowledge and Information Systems.

Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things

Jaime Lloret, Manuel Lopez-Martin, Belen Carro, 2017, IEEE Access.

Neural network architecture based on gradient boosting for IoT traffic prediction

Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, 2019, Future Gener. Comput. Syst..

IoT type-of-traffic forecasting method based on gradient boosting neural networks

Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, 2020, Future Gener. Comput. Syst..

Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT

Jaime Lloret, Manuel López Martín, Antonio Sánchez-Esguevillas, 2017, Sensors.

Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets

Jaime Lloret, Manuel López Martín, Antonio Sánchez-Esguevillas, 2018, IEEE Communications Magazine.

Variational data generative model for intrusion detection

A. Sánchez-Esguevillas, B. Carro, Manuel Lopez-Martin, 2018, Knowledge and Information Systems.

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

Manuel López Martín, Manuel Lopez-Martin, Belen Carro, 2021, IEEE Access.

Contrastive Learning Over Random Fourier Features for IoT Network Intrusion Detection

A. Sánchez-Esguevillas, B. Carro, J. I. Arribas, 2023, IEEE Internet of Things Journal.

A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework

Jorge J. Gómez-Sanz, Diane J. Cook, Antonio Sánchez-Esguevillas, 2012, Sensors.

Graph Neural Network contextual embedding for Deep Learning on Tabular Data

A. Sánchez-Esguevillas, B. Carro, Mario Villaiz'an-Vallelado, 2023, Neural Networks.

Exploratory study on Class Imbalance and solutions for Network Traffic Classification

Luis Hernández-Callejo, Belén Carro, Santiago Egea Gómez, 2019, Neurocomputing.

Ensemble network traffic classification: Algorithm comparison and novel ensemble scheme proposal

Luis Hernández-Callejo, Antonio Sánchez-Esguevillas, Belén Carro, 2017, Comput. Networks.

A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants

Jorge J. Gómez-Sanz, Diane J. Cook, Jaime Lloret, 2013, IEEE Communications Magazine.

Artificial neural networks for short-term load forecasting in microgrids environment

Jaime Lloret, Antonio Sánchez-Esguevillas, Belén Carro, 2014 .

Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems

Jaime Lloret, Antonio Sánchez-Esguevillas, Belén Carro, 2014 .

QoS Traffic Mapping between WiMAX and DiffServ Networks

Antonio Sánchez-Esguevillas, Belén Carro, Javier M. Aguiar, 2011, Netw. Protoc. Algorithms.

Scalable architecture and evaluation for multiparty conferencing over satellite links

Haitham S. Cruickshank, Zhili Sun, Antonio Sánchez-Esguevillas, 2004, IEEE Journal on Selected Areas in Communications.