Abel A. Cuadrado Vega-rekin lankidetzan egindako argitalpenak (24)

2023

  1. Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation

    IFIP Advances in Information and Communication Technology

2021

  1. Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings

    IEEE Transactions on Smart Grid, Vol. 12, Núm. 3, pp. 2722-2731

2018

  1. Interactive dimensionality reduction of large datasets using interpolation

    ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  2. Interactive visualization for NILM in large buildings using non-negative matrix factorization

    Energy and Buildings, Vol. 176, pp. 95-108

2017

  1. Energy analytics in public buildings using interactive histograms

    Energy and Buildings, Vol. 134, pp. 94-104

  2. Latent variable analysis in hospital electric power demand using non-negative matrix factorization

    ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2014

  1. Power-consumption analysis through web-based visual data exploration

    IFAC Proceedings Volumes (IFAC-PapersOnline)

2013

  1. Visual analysis of a cold rolling process using a dimensionality reduction approach

    Engineering Applications of Artificial Intelligence, Vol. 26, Núm. 8, pp. 1865-1871

2012

  1. MorphingProjections: Interactive Visualization of Electric Power Demand Time Series

    Eurographics Conference on Visualization (EuroVis)

  2. Supervision of industrial processes using self organizing maps

    Intelligent Data Analysis for Real-Life Applications: Theory and Practice (IGI Global), pp. 206-227

  3. Visual Analysis of a Cold Rolling Process Using Data-Based Modeling

    Communications in Computer and Information Science

2011

  1. Analysis of electric power consumption using self-organizing maps

    IFAC Proceedings Volumes (IFAC-PapersOnline)

  2. Control maps: Visualization of local robustness properties for control system design

    IFAC Proceedings Volumes (IFAC-PapersOnline)

  3. Manifold learning for visualization of vibrational states of a rotating machine

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes

    Engineering Applications of Artificial Intelligence, Vol. 23, Núm. 1, pp. 8-17

  2. Visualization of changes in process dynamics using self-organizing maps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009

  1. Visualization of MIMO process dynamics using local dynamic modelling with self organizing maps

    Communications in Computer and Information Science

2008

  1. A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes

    Expert Systems with Applications, Vol. 34, Núm. 4, pp. 2953-2965

2007

  1. Internet-based remote supervision of industrial processes using self-organizing maps

    Engineering Applications of Artificial Intelligence, Vol. 20, Núm. 6, pp. 757-765

  2. Modeling of dynamics using process state projection on the self organizing map

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)