Ignacio Díaz Blanco

61 papers B 11C 10Misc 1Journal 22Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Embedded deep reservoir computing for modelling complex industrial systems.
Integr. Comput. Aided Eng.
José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez
2025 J jnl
Adaptive model based on ESN for anomaly detection in industrial systems.
Evol. Syst.
José Ramón Rodríguez-Ossorio, Antonio Morán, Juan J. Fuertes-Martínez, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez
2025 J jnl
Conditioned fully convolutional denoising autoencoder for multi-target NILM.
Neural Comput. Appl.
Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José M. Enguita, Manuel Domínguez
2025 — conf
ESN Architectures for Industrial Process Modelling to Develop Digital Twins.
EANN (2)
Raúl González-Herbón, Serafín Alonso, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez, Juan José Fuertes
2025 — conf
Reduced Echo State Networks for Model Predictive Control of a Quadruple-Tank Process.
ECC
Guzmán González-Mateos, Miguel A. Prada, Antonio Morán Álvarez, Ignacio Díaz Blanco, Manuel Domínguez
2024 B conf
Analysis of DNA methylation patterns in cancer samples using SOM.
ESANN
Ignacio Díaz Blanco, José M. Enguita-Gonzalez, Diego García-Pérez, Abel Alberto Cuadrado Vega, Nuria Valdés, Maria Dolores Chiara-Romero
2024 C conf
Deep Echo State Networks for Modelling of Industrial Systems.
EANN
José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez
2024 B conf
Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings.
ESANN
Diego García-Pérez, Ignacio Díaz Blanco, José María Enguita, Jorge Menéndez, Abel Alberto Cuadrado Vega
2024 J jnl
Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview.
IEEE Access
Diego García-Pérez, Mariam Saeed, Ignacio Díaz Blanco, José M. Enguita, Juan Manuel Guerrero, Fernando Briz
2024 B conf
Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics.
ESANN
José M. Enguita-Gonzalez, Diego García-Pérez, Abel Alberto Cuadrado Vega, Daniel García-Peña, José Ramón Rodríguez-Ossorio, Ignacio Díaz Blanco
2023 C conf
Adaptive Model for Industrial Systems Using Echo State Networks.
EANN
José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez
2023 — conf
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation.
AIAI (Workshops)
Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José María Enguita, Ana González-Muñiz, Manuel Domínguez
2023 J jnl
Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction.
IEEE J. Biomed. Health Informatics
Ignacio Díaz Blanco, José M. Enguita, Abel A. Cuadrado, Diego García-Pérez, Ana González, Nuria Valdés, María D. Chiara
2023 — conf
Principal Component Modes of Reservoir Dynamics in Reservoir Computing.
AIAI (Workshops)
José María Enguita, Ignacio Díaz Blanco, Diego García-Pérez, Abel Alberto Cuadrado Vega, José Ramón Rodríguez
2023 — conf
Visual Analytics Tools for the Study of Complex Problems in Engineering and Biomedicine.
AIAI (Workshops)
Ignacio Díaz Blanco, José M. Enguita, Abel A. Cuadrado, Diego García-Pérez, Ana González-Muñiz
2023 — conf
Visualizing Cell Motility Patterns from Time Lapse Videos with Interactive 2D Maps Generated with Deep Autoencoders.
AIAI (Workshops)
Ana González-Muñiz, José María Enguita, Ignacio Díaz Blanco, Diego García-Pérez, Abel Alberto Cuadrado Vega, Nuria Valdés, María D. Chiara
2022 J jnl
Health indicator for machine condition monitoring built in the latent space of a deep autoencoder.
Reliab. Eng. Syst. Saf.
Ana González-Muñiz, Ignacio Díaz Blanco, Abel A. Cuadrado, Diego García-Pérez
2022 B conf
Interactive dual projections for gene expression analysis.
ESANN
Ignacio Díaz Blanco, José M. Enguita, Diego García-Pérez, Ana González-Muñiz, Abel Alberto Cuadrado Vega, Maria Dolores Chiara-Romero, Nuria Valdés
2022 B conf
Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave.
ESANN
Ignacio Díaz Blanco, José M. Enguita, Diego García-Pérez, Maria Dolores Chiara-Romero, Nuria Valdés, Ana González-Muñiz, Abel Alberto Cuadrado Vega
2022 J jnl
Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders.
Comput. Electr. Eng.
Ana González-Muñiz, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Diego García-Pérez, Daniel Pérez
2021 J jnl
Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings.
IEEE Trans. Smart Grid
Diego García-Pérez, Daniel Pérez-López, Ignacio Díaz Blanco, Ana González-Muñiz, Manuel Domínguez-González, Abel Alberto Cuadrado Vega
2021 J jnl
Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets.
Bioinform.
Ignacio Díaz Blanco, José M. Enguita, Ana González, Diego García-Pérez, Abel A. Cuadrado, María D. Chiara, Nuria Valdés
2020 J jnl
Estimating cooling production and monitoring efficiency in chillers using a soft sensor.
Neural Comput. Appl.
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez
2019 J jnl
A Deep Learning Approach for Fusing Sensor Data from Screw Compressors.
Sensors
Serafín Alonso, Daniel Pérez, Antonio Morán Álvarez, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Manuel Domínguez
2019 C conf
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers.
EANN
Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Perfecto Reguera, Ignacio Díaz Blanco, Manuel Domínguez
2018 J jnl
Interactive data visualization of chatter conditions in a cold rolling mill.
Comput. Ind.
Daniel Pérez, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, José L. Rendueles, Diego García-Pérez
2018 B conf
Interactive dimensionality reduction of large datasets using interpolation.
ESANN
Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Diego García-Pérez, Manuel Domínguez-González
2018 J jnl
The State of the Art in Integrating Machine Learning into Visual Analytics.
CoRR
Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi
2017 C conf
Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders.
EANN
Antonio Morán Álvarez, Serafín Alonso, Miguel A. Prada, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Manuel Domínguez-González
2017 B conf
Latent variable analysis in hospital electric power demand using non-negative matrix factorization.
ESANN
Diego García-Pérez, Ignacio Díaz Blanco, Daniel Pérez, Abel Alberto Cuadrado Vega, Manuel Domínguez-González
2017 J jnl
The State of the Art in Integrating Machine Learning into Visual Analytics.
Comput. Graph. Forum
Alex Endert, William Ribarsky, Cagatay Turkay, B. L. William Wong, Ian T. Nabney, Ignacio Díaz Blanco, Fabrice Rossi
2016 B conf
A state-space model on interactive dimensionality reduction.
ESANN
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Michel Verleysen
2015 — conf
Analysis of Electricity Bill Data using Interactive Dimensionality Reduction.
EANN Workshops
Serafín Alonso, Miguel A. Prada, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Manuel Domínguez-González
2015 J jnl
Interactive feature space extension for multidimensional data projection.
Neurocomputing
Daniel Pérez, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco
2014 B conf
Interactive dimensionality reduction for visual analytics.
ESANN
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel Pérez, Francisco J. García-Fernández, Michel Verleysen
2013 J jnl
Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques.
Eng. Appl. Artif. Intell.
Antonio Morán Álvarez, Juan J. Fuertes-Martínez, Miguel A. Prada, Serafín Alonso, Pablo Barrientos, Ignacio Díaz Blanco, Manuel Domínguez-González
2013 — conf
Interactive Visualization and Feature Transformation for Multidimensional Data Projection.
VAMP@EuroVis
Daniel Pérez, Leishi Zhang, Matthias Schäfer, Tobias Schreck, Daniel A. Keim, Ignacio Díaz Blanco
2013 B conf
Sensitivity to parameter and data variations in dimensionality reduction techniques.
ESANN
Francisco J. García-Fernández, Michel Verleysen, John Aldo Lee, Ignacio Díaz Blanco
2013 — conf
Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations.
VAMP@EuroVis
Francisco J. García-Fernández, Michel Verleysen, John A. Lee, Ignacio Díaz Blanco
2013 J jnl
Visual analysis of a cold rolling process using a dimensionality reduction approach.
Eng. Appl. Artif. Intell.
Daniel Pérez, Francisco J. García-Fernández, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel G. Ordonez, Alberto B. Diez, Manuel Domínguez-González
2013 J jnl
Visualization maps based on SOM to analyze MIMO systems.
Neural Comput. Appl.
Juan J. Fuertes-Martínez, Manuel Domínguez-González, Ignacio Díaz Blanco, Miguel A. Prada, Antonio Morán Álvarez, Serafín Alonso
2012 C conf
Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques.
EANN
Antonio Morán Álvarez, Juan J. Fuertes-Martínez, Miguel A. Prada, Serafín Alonso, Pablo Barrientos, Ignacio Díaz Blanco
2012 J jnl
Monitoring industrial processes with SOM-based dissimilarity maps.
Expert Syst. Appl.
Manuel Domínguez-González, Juan J. Fuertes-Martínez, Ignacio Díaz Blanco, Miguel A. Prada, Serafín Alonso, Antonio Morán Álvarez
2012 — conf
MorphingProjections: Interactive Visualization of Electric Power Demand Time Series.
EuroVis (Short Papers)
Ignacio Díaz Blanco, Manuel Domínguez-González, Abel Alberto Cuadrado Vega, Alberto B. Diez González, Juan J. Fuertes-Martínez
2012 B conf
Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings.
IDA
Antonio Morán Álvarez, Miguel A. Prada, Serafín Alonso, Pablo Barrientos, Juan J. Fuertes-Martínez, Manuel Domínguez-González, Ignacio Díaz Blanco
2012 C conf
Visual Analysis of a Cold Rolling Process Using Data-Based Modeling.
EANN
Daniel Pérez, Francisco J. García-Fernández, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Daniel G. Ordonez, Alberto B. Diez, Manuel Domínguez-González
2011 — conf
Manifold Learning for Visualization of Vibrational States of a Rotating Machine.
ICANN (2)
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez, Manuel Domínguez-González
2011 C conf
Time-Frequency Analysis of Hot Rolling Using Manifold Learning.
EANN
Francisco J. García-Fernández, Ignacio Díaz Blanco, Ignacio Álvarez, Daniel Pérez, Daniel G. Ordonez, Manuel Domínguez-González
2010 — conf
Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes.
ICANN (2)
Miguel A. Prada, Manuel Domínguez-González, Ignacio Díaz Blanco, Juan J. Fuertes-Martínez, Perfecto Reguera-Acevedo, Antonio Morán Álvarez, Serafín Alonso
2010 J jnl
Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes.
Eng. Appl. Artif. Intell.
Juan J. Fuertes-Martínez, Manuel Domínguez-González, Perfecto Reguera-Acevedo, Miguel A. Prada, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega
2010 — conf
Visualization of Changes in Process Dynamics Using Self-Organizing Maps.
ICANN (2)
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez González, Manuel Domínguez-González, Juan J. Fuertes-Martínez, Miguel A. Prada
2009 C conf
Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps.
EANN
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez, Juan J. Fuertes-Martínez, Manuel Domínguez-González, Miguel A. Prada
2008 J jnl
A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes.
Expert Syst. Appl.
Ignacio Díaz Blanco, Manuel Domínguez-González, Abel Alberto Cuadrado Vega, Juan J. Fuertes-Martínez
2007 J jnl
Internet-based remote supervision of industrial processes using self-organizing maps.
Eng. Appl. Artif. Intell.
Manuel Domínguez-González, Juan J. Fuertes-Martínez, Perfecto Reguera-Acevedo, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega
2007 — conf
Modeling of Dynamics Using Process State Projection on the Self Organizing Map.
ICANN (1)
Juan J. Fuertes-Martínez, Miguel A. Prada, Manuel Domínguez-González, Perfecto Reguera-Acevedo, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega
2007 — conf
Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps.
ICANN (1)
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez González, Juan J. Fuertes-Martínez, Manuel Domínguez-González, Perfecto Reguera-Acevedo
2004 Misc conf
Visualizing Knowledge for Data Mining using Dimension Reduction Mappings.
IRI
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez González
2003 — conf
A visual approach for fuzzy rule induction.
ETFA (2)
Sergio R. Cuesta, Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez
2002 C conf
Correlation Visualization of High Dimensional Data Using Topographic Maps.
ICANN
Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez González
2001 C conf
Complex Process Visualization through Continuous Feature Maps Using Radial Basis Functions.
ICANN
Ignacio Díaz Blanco, Alberto B. Diez González, Abel Alberto Cuadrado Vega
2001 — conf
Fuzzy inference maps for condition monitoring with self-organizing maps.
EUSFLAT Conf.
Abel Alberto Cuadrado Vega, Ignacio Díaz Blanco, Alberto B. Diez González, Faustino Obeso, Juan A. González