Ignacio Díaz Blanco

Orcid: 0000-0003-0420-2315

Affiliations:
  • University of Oviedo, Gijón, Spain


According to our database1, Ignacio Díaz Blanco authored at least 51 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview.
IEEE Access, 2024

2023
Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction.
IEEE J. Biomed. Health Informatics, June, 2023

Visualizing Cell Motility Patterns from Time Lapse Videos with Interactive 2D Maps Generated with Deep Autoencoders.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 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

Principal Component Modes of Reservoir Dynamics in Reservoir Computing.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Visual Analytics Tools for the Study of Complex Problems in Engineering and Biomedicine.
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

2022
Health indicator for machine condition monitoring built in the latent space of a deep autoencoder.
Reliab. Eng. Syst. Saf., 2022

Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders.
Comput. Electr. Eng., 2022

Interactive dual projections for gene expression analysis.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

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

Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets.
Bioinform., 2021

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

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

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

2018
Interactive data visualization of chatter conditions in a cold rolling mill.
Comput. Ind., 2018

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

2017
The State of the Art in Integrating Machine Learning into Visual Analytics.
Comput. Graph. Forum, 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
A state-space model on interactive dimensionality reduction.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Interactive feature space extension for multidimensional data projection.
Neurocomputing, 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
Interactive dimensionality reduction for visual analytics.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

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

Interactive Visualization and Feature Transformation for Multidimensional Data Projection.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

Sensitivity to parameter and data variations in dimensionality reduction techniques.
Proceedings of the 21st European Symposium on Artificial 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

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

Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques.
Proceedings of the Engineering Applications of Neural Networks, 2012

2011
Time-Frequency Analysis of Hot Rolling Using Manifold Learning.
Proceedings of the Engineering Applications of Neural Networks, 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
Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps.
Proceedings of the Engineering Applications of Neural Networks, 2009

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

2004
Visualizing Knowledge for Data Mining using Dimension Reduction Mappings.
Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

2003
A visual approach for fuzzy rule induction.
Proceedings of 9th IEEE International Conference on Emerging Technologies and Factory Automation, 2003

2002
Correlation Visualization of High Dimensional Data Using Topographic Maps.
Proceedings of the Artificial Neural Networks, 2002

2001
Complex Process Visualization through Continuous Feature Maps Using Radial Basis Functions.
Proceedings of the Artificial Neural Networks, 2001

Fuzzy inference maps for condition monitoring with self-organizing maps.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001


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