Manuel Domínguez

Orcid: 0000-0002-3921-1599

Affiliations:
  • University of León, SUPPRESS Research Group, Spain


According to our database1, Manuel Domínguez authored at least 59 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Approach to Develop Digital Twins in Industry.
Sensors, February, 2024

Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder.
Integr. Comput. Aided Eng., 2024

Deep Echo State Networks for Modelling of Industrial Systems.
Proceedings of the Engineering Applications of Neural Networks, 2024

Machine Learning Modeling in Industrial Processes for Visual Analysis.
Proceedings of the Engineering Applications of Neural Networks, 2024

2023
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Adaptive Model for Industrial Systems Using Echo State Networks.
Proceedings of the Engineering Applications of Neural Networks, 2023

Virtual Flow Meter for an Industrial Process.
Proceedings of the Engineering Applications of Neural Networks, 2023

Hierarchical Prediction in Incomplete Submetering Systems Using a CNN.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings.
IEEE Trans. Smart Grid, 2021

Virtual sensor for probabilistic estimation of the evaporation in cooling towers.
Integr. Comput. Aided Eng., 2021

Evaluation of feature learning for anomaly detection in network traffic.
Evol. Syst., 2021

Environment for Education on Industry 4.0.
IEEE Access, 2021

2020
Feature Extraction from Building Submetering Networks Using Deep Learning.
Sensors, 2020

Estimating cooling production and monitoring efficiency in chillers using a soft sensor.
Neural Comput. Appl., 2020

Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees.
IEEE Access, 2020

Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
A Deep Learning Approach for Fusing Sensor Data from Screw Compressors.
Sensors, 2019

Comparison of Network Intrusion Detection Performance Using Feature Representation.
Proceedings of the Engineering Applications of Neural Networks, 2019

Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers.
Proceedings of the Engineering Applications of Neural Networks, 2019

2018
SPEET: Visual Data Analysis of Engineering Students Performance From Academic Data.
Proceedings of the Learning Analytics Summer Institute Spain 2018, 2018

Interactive dimensionality reduction of large datasets using interpolation.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Comparative analysis of the security of configuration protocols for industrial control devices.
Int. J. Crit. Infrastructure Prot., 2017

Latent variable analysis in hospital electric power demand using non-negative matrix factorization.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
Random extreme learning machines to predict electric load in buildings.
Prog. Artif. Intell., 2016

2015
Dimensionality reduction techniques to analyze heating systems in buildings.
Inf. Sci., 2015

Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell.
Comput. Educ., 2015

Analysis of Electricity Bill Data using Interactive Dimensionality Reduction.
Proceedings of the Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, 2015

2014
Remote laboratory of a quadruple tank process for learning in control engineering using different industrial controllers.
Comput. Appl. Eng. Educ., 2014

2013
Analysis of electricity bills using visual continuous maps.
Neural Comput. Appl., 2013

Visualization maps based on SOM to analyze MIMO systems.
Neural Comput. Appl., 2013

Machine learning methods to forecast temperature in buildings.
Expert Syst. Appl., 2013

Visual analysis of a cold rolling process using a dimensionality reduction approach.
Eng. Appl. Artif. Intell., 2013

Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques.
Eng. Appl. Artif. Intell., 2013

Remote Laboratory with an Electro-Pneumatic Classication Cell.
Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013

Education on Automatic Control for Professionals through the LRA-ULE Remote Laboratory.
Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013

Analysis of Heating Systems in Buildings Using Self-Organizing Maps.
Proceedings of the Engineering Applications of Neural Networks, 2013

2012
Monitoring industrial processes with SOM-based dissimilarity maps.
Expert Syst. Appl., 2012

MorphingProjections: Interactive Visualization of Electric Power Demand Time Series.
Proceedings of the 14th Eurographics Conference on Visualization, 2012

Improving User Interaction in Remote Laboratories through HTML5/AJAX.
Proceedings of the 9th IFAC Symposium Advances in Control Education, 2012

Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Visual Analysis of a Cold Rolling Process Using Data-Based Modeling.
Proceedings of the Engineering Applications of Neural Networks, 2012

2011
EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Time-Frequency Analysis of Hot Rolling Using Manifold Learning.
Proceedings of the Engineering Applications of Neural Networks, 2011

Comparative Analysis of Power Consumption in University Buildings Using envSOM.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Manifold Learning for Visualization of Vibrational States of a Rotating Machine.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes.
Eng. Appl. Artif. Intell., 2010

Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes.
Proceedings of the Artificial Neural Networks, 2010

Visualization of Changes in Process Dynamics Using Self-Organizing Maps.
Proceedings of the Artificial Neural Networks, 2010

2009
Los recursos tecnológicos para la teleformación en España: Comparativa e implantación.
Rev. Iberoam. de Tecnol. del Aprendiz., 2009

Tool for instruction and learning on variable speed drives through the Internet.
Proceedings of the 10th European Control Conference, 2009

Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Case-Based Reasoning and System Identification for Control Engineering Learning.
IEEE Trans. Educ., 2008

A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes.
Expert Syst. Appl., 2008

2007
Internet-based remote supervision of industrial processes using self-organizing maps.
Eng. Appl. Artif. Intell., 2007

Modeling of Dynamics Using Process State Projection on the Self Organizing Map.
Proceedings of the Artificial Neural Networks, 2007

Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps.
Proceedings of the Artificial Neural Networks, 2007

2005
Active learning in control education.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005


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