Automated Assessment and Monitoring Support for Competency-Based Courses - Vargas, H.; Heradio, R.; Chacon, J.; De La Torre, L.; Farias, G.; Galan, D.; Dormido, S. (Ieee Access, 2019)

Red de laboratorios de control automático a través de internet - Dormido Bencomo, Sebastián; Vargas Oyarzún, Héctor; Sánchez Moreno, José; Duro Carralero, Natividad; Dormido Canto, Raquel; Morilla García, Fernando; Canto Díez, María Antonia; Dormido Canto, Sebastián; Farias Castro, Gonzalo Alberto (Avances en la adaptación de la UNED al EEES: II Redes de investigación en innovación docente 2007-2008, 2011)

Compartiendo recursos de experimentación a través de internet: la experiencia automatl@bs - Dormido Bencomo, Sebastián (La UNED ante el EEES: redes de investigación en innovación docente 2006-2007, 2009)

First applications of structural pattern recognition methods to the investigation of specific physical phenomena at JET - Rattá, G.A.; Vega, J.; Pereira, A.; Portas, A.; de la Luna, E.; Dormido-Canto, S.; Farias, G.; Dormido, R.; Sánchez, J.; Duro, N.; Vargas, H.; Santos, M.; et al. (Fusion Engineering and Design, 2008)

Data mining technique for fast retrieval of similar waveforms in Fusion massive databases - Vega, J.; Pereira, A.; Portas, A.; Dormido-Canto, S.; Farias, G.; Dormido, R.; Sánchez, J.; Duro, N.; Santos, M.; Sánchez, E.; Pajares, G. (Fusion Engineering and Design, 2008)

Search and retrieval of plasma wave forms: Structural pattern recognition approach - Dormido-Canto, S.; Farias, G.; Vega, J.; Dormido, R.; Sánchez, J.; Duro, N.; Santos, M.; Martin, J.A.; Pajares, G. (Review of Scientific Instruments, 2006)

Automated clustering procedure for TJ-II experimental signals - Duro, N.; Vega, J.; Dormido, R.; Farias, G.; Dormido-Canto, S.; Sánchez, J.; Santos, M.; Pajares, G. (Fusion Engineering and Design, 2006)

Searching for patterns in TJ-II time evolution signals - Farias, G.; Dormido-Canto, S.; Vega, J.; Sánchez, J.; Duro, N.; Dormido, R.; Ochando, M.; Santos, M.; Pajares, G. (Fusion Engineering and Design, 2006)

Application of intelligent classification techniques to the TJ-II thomson scattering diagnostic - Vega, J.; Pastor, I.; Cereceda, J.L.; Pereira, A.; Herranz, J.; Pérez, D.; Rodríguez, M.C.; Farias, G.; Dormido-Canto, S.; Sánchez, J.; Dormido, R.; Duro, N.; et al. (32nd EPS Conference on Plasma Physics 2005, EPS 2005, Held with the 8th International Workshop on Fast Ignition of Fusion Targets - Europhysics Conference Abstracts, 2005)

Iterative noise removal from temperature and density profiles in the TJ-II Thomson scattering - Farias, G.; Dormido-Canto, S.; Vega, J.; Santos, M.; Pastor, I.; Fingerhuth, S.; Ascencio, J. (Fusion Engineering and Design, 2014)

Application and validation of image processing algorithms to reduce the stray light on the tj-ii thomson scattering diagnostic - Farias, G.; Dormido-Canto, S.; Vega, J.; Pastor, I.; Santos, M. (Fusion Science and Technology, 2013)

Making intelligent decisions on noisy images - Farias, G.; Dormido-Canto, S.; Santos, M.; Vega, J. (World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf., 2012)

Dynamic clustering and modeling approaches for fusion plasma signals - Martin H., J.A.; Santos Peñas, M.; Farias, G.; Duro, N.; Sánchez, J.; Dormido, R.; Dormido-Canto, S.; Vega, J.; Vargas, H. (IEEE Transactions on Instrumentation and Measurement, 2009)

Dynamic clustering and neuro-fuzzy identification for the analysis of fusion plasma signals - Martin H, J.A.; Santos, M.; Farias, G.; Duro, N.; Sanchez, J.; Dormido, R.; Dormido-Canto, S.; Vega, J. (2007 IEEE International Symposium on Intelligent Signal Processing, WISP, 2007)

Recent results on structural pattern recognition for Fusion massive databases - Vega, J.; Rattá, G.; Murari, A.; Castro, P.; Dormido-Canto, S.; Dormido, R.; Farias, G.; Pereira, A.; Portas, A.; De La Luna, E.; Pastor, I.; Sánchez, J.; et al. (2007 IEEE International Symposium on Intelligent Signal Processing, WISP, 2007)

Image classifier for the TJ-II thomson scattering diagnostic: Evaluation with a feed forward neural network - Farias, G.; Dormido, R.; Santos, M.; Duro, N. (Lecture Notes in Computer Science, 2005)

TJ-II wave forms analysis with wavelets and support vector machines - Dormido-Canto, S.; Farias, G.; Dormido, R.; Vega, J.; Sánchez, J.; Santos, M. (Review of Scientific Instruments, 2004)

Adding automatic evaluation to interactive virtual labs - Farias, G.; Muñoz de la Peña, D.; Gómez-Estern, F.; De la Torre, L.; Sánchez, C.; Dormido, S. (Interactive Learning Environments, 2016)

EJS, JIL Server, and LabVIEW: An Architecture for Rapid Development of Remote Labs - Chacón, J.; Vargas, H.; Farias, G.; Sánchez, J.; Dormido, S. (IEEE Transactions on Learning Technologies, 2015)

Networked mobile robots: An application example of the distributed event-based control - Farias, G.; Guinaldo, M.; Dormido, S. (Asynchronous Control for Networked Systems, 2015)

Remote Interoperability Protocol: A bridge between interactive interfaces and engineering systems - Chacón, J.; Farias, G.; Vargas, H.; Visioli, A.; Dormido, S. (IFAC-PapersOnLine, 2015)

Virtual Laboratory of the Ball and Plate System - Fabregas, E.; Chacón, J.; Dormido-Canto, S.; Farias, G.; Dormido, S. (IFAC-PapersOnLine, 2015)

Building remote labs using Easy Java simulation and Matlab - Farias, G.; De Keyser, R.; Dormido, S.; Esquembre, F. (2009 European Control Conference, ECC 2009, 2009)

A mobile robots experimental environment with event-based wireless communication - Guinaldo, M.; Fábregas, E.; Farias, G.; Dormido-Canto, S.; Chaos, D.; Sánchez, J.; Dormido, S. (Sensors (Switzerland), 2013)

Using augmented reality in remote laboratories - Vargas, H.; Farias, G.; Sanchez, J.; Dormido, S.; Esquembre, F. (International Journal of Computers, Communications and Control, 2013)

An interactive simulator for networked mobile robots - Guinaldo, M.; Farias, G.; Fabregas, E.; Sánchez, J.; Dormido-Canto, S.; Dormido, S. (IEEE Network, 2012)

Enhancing virtual and remote labs to perform automatic evaluation - Farias, G.; Gomez-Estern, F.; De La Torre, L.; Muñoz De La Peña, D.; Sánchez, C.; Dormido, S. (IFAC Proceedings Volumes (IFAC-PapersOnline), 2012)

Developing a remote laboratory for engineering education - Fabregas, E.; Farias, G.; Dormido-Canto, S.; Dormido, S.; Esquembre, F. (Computers and Education, 2011)

Understanding automatic control concepts by playing games - Sánchez, J.; Dormido-Canto, S.; Farías, G.; Godoy, F.; Dormido, S. (International Journal of Engineering Education, 2011)

Interactive human interfaces with engineering software - Farias, G.; Dormido, S.; Esquembre, F. (IFAC Proceedings Volumes (IFAC-PapersOnline), 2011)

Developing networked control labs: A matlab and easy java simulations approach - Farias, G.; De Keyser, R.; Dormido, S.; Esquembre, F. (IEEE Transactions on Industrial Electronics, 2010)

Teaching embedded control systems - Farias, G.; Årzén, K.-E.; Cervin, A.; Dormido, S.; Esquembre, F. (International Journal of Engineering Education, 2010)

Java simulations of embedded control systems - Farias, G.; Cervin, A.; Årzén, K.-E.; Dormido, S.; Esquembre, F. (Sensors, 2010)

Multitasking real-time control systems in Easy Java Simulations - Farias, G.; Cervin, A.; Arzen, K.-E.; Dormido, S.; Esquembre, F. (IFAC Proceedings Volumes (IFAC-PapersOnline), 2008)

An integrated virtual and remote control lab the three tank system as a case study - Duro, N.; Dormido, R.; Vargas, H.; Dormido-Canto, S.; Sánchez, J.; Farias, G.; Dormido, S.; Esquembre, F. (Computing in Science and Engineering, 2008)

Development of a web-based control laboratory for automation technicians: The three-tank system - Dormido, R.; Vargas, H.; Duro, N.; Sánchez, J.; Dormido-Canto, S.; Farias, G.; Esquembre, F.; Dormido, S. (IEEE Transactions on Education, 2008)

A systematic two-layer approach to develop web-based experimentation environments for control engineering education - Vargas, H.; Sánchez, J.; Duro, N.; Dormido, R.; Dormido-Canto, S.; Farias, G.; Dormido, S.; Esquembre, F.; Salzmann, C.; Gillet, D. (Intelligent Automation and Soft Computing, 2008)

Web-based learning resources for vocational training for automation technicians - Vargas, H.; Sánchez, J.; Dormido, S.; Farias, G.; Duro, N.; Dormido-Canto, R.; Dormido-Canto, S.; Esquembre, F. (IFAC Proceedings Volumes (IFAC-PapersOnline), 2006)

Adding interactivity to existing Simulink models using Easy Java Simulations - Dormido, S.; Esquembre, F.; Farias, G.; Sánchez, J. (Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05, 2005)

Reinforcement Learning for Position Control Problem of a Mobile Robot - Farias, G.; Garcia, G.; Montenegro, G.; Fabregas, E.; Dormido-Canto, S.; Dormido, S. (IEEE Access, 2020)

A distributed vision-based navigation system for khepera iv mobile robots - Farias, G.; Fabregas, E.; Torres, E.; Bricas, G.; Dormido-Canto, S.; Dormido, S. (Sensors (Switzerland), 2020)

Simulation and Experimental Results of a New Control Strategy for Point Stabilization of Nonholonomic Mobile Robots - Fabregas, E.; Farias, G.; Aranda-Escolástico, E.; Garcia, G.; Chaos, D.; Dormido-Canto, S.; Bencomo, S.D. (IEEE Transactions on Industrial Electronics, 2020)

Automatic recognition of anomalous patterns in discharges by recurrent neural networks - Farias, G.; Fabregas, E.; Dormido-Canto, S.; Vega, J.; Vergara, S. (Fusion Engineering and Design, 2020)

Navigation control of the Khepera IV model with OpenCV in V-REP simulator - Farias, G.; Torres, E.; Fabregas, E.; Vargas, H.; Dormido-Canto, S.; Dormido, S. (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings, 2019)

Clasificador de noticias usando autoencoders - Farias, G.; Vergara, S.; Fabregas, E.; Hermosilla, G.; Dormido-Canto, S.; Dormido, S. (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings, 2019)

Automatic control for the production of alginate by azotobacter vinelandii - Farias, G.; Fabregas, E.; Diaz-Barrera, A.; Ponce, B.; Castro, C.; Dormido-Canto, S. (IEEE Access, 2019)

Development of an Easy-to-Use Multi-Agent Platform for Teaching Mobile Robotics - Farias, G.; Fabregas, E.; Peralta, E.; Vargas, H.; Dormido-Canto, S.; Dormido, S. (IEEE Access, 2019)

Software parallelization of a probabilistic classifier based on Venn Prediction: Application to the TJ-II Thomson Scattering - Martínez, F.J.; Vega, J.; Dormido-Canto, S.; Pastor, I.; Fabregas, E.; Farias, G. (Fusion Engineering and Design, 2018)

Image classification by using a reduced set of features in the TJ-II Thomson Scattering diagnostic - Farias, G.; Dormido-Canto, S.; Vega, J.; Martínez, I.; Hermosilla, G.; Fabregas, E. (Fusion Engineering and Design, 2018)

Automatic opinion classification using conformal predictors - Farias, G.; León, J.; Fabregas, E.; Dormido-Canto, S. (IET Conference Publications, 2018)

Online Virtual Control Laboratory of Mobile Robots - Galán, D.; Fabregas, E.; Garcia, G.; Sáenz, J.; Farias, G.; Dormido-Canto, S.; Dormido, S. (IFAC-PapersOnLine, 2018)

Applying Deep Learning for Improving Image Classification in Nuclear Fusion Devices - Farias, G.; Fabregas, E.; Dormido-Canto, S.; Vega, J.; Vergara, S.; Bencomo, S.D.; Pastor, I.; Olmedo, A. (IEEE Access, 2018)

Adaboost classification of TJ-II Thomson Scattering images - Farias, G.; Dormido-Canto, S.; Vega, J.; Martínez, I.; Alfaro, L.; Martínez, F. (Fusion Engineering and Design, 2017)

Automatic feature extraction in large fusion databases by using deep learning approach - Farias, G.; Dormido-Canto, S.; Vega, J.; Rattá, G.; Vargas, H.; Hermosilla, G.; Alfaro, L.; Valencia, A. (Fusion Engineering and Design, 2016)

Applying forecasting to fusion databases - Farias, G.; Dormido-Canto, S.; Vega, J.; Díaz, N. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015)

Initial results with time series forecasting of TJ-II heliac waveforms - Farias, G.; Dormido-Canto, S.; Vega, J.; Díaz, N. (Fusion Engineering and Design, 2015)

Overview of real-time disruption prediction in jet: Applicability to ITER - Vega, J.; Murari, A.; Dormido-Canto, S.; Alves, D.; Farias, G.; López, J.M.; Moreno, R.; Pereira, A.; Ramírez, J.M.; Rattá, G.A. (41st EPS Conference on Plasma Physics, EPS 2014, 2014)

Image processing methods for noise reduction in the TJ-II Thomson Scattering diagnostic - Dormido-Canto, S.; Farias, G.; Vega, J.; Pastor, I. (Fusion Engineering and Design, 2012)

Upgrade of the automatic analysis system in the TJ-II Thomson Scattering diagnostic: New image recognition classifier and fault condition detection - Makili, L.; Vega, J.; Dormido-Canto, S.; Pastor, I.; Pereira, A.; Farias, G.; Portas, A.; Pérez-Risco, D.; Rodríguez-Fernández, M.C.; Busch, P. (Fusion Engineering and Design, 2010)

Automated recognition system for ELM classification in JET - Duro, N.; Dormido, R.; Vega, J.; Dormido-Canto, S.; Farias, G.; Sánchez, J.; Vargas, H.; Murari, A. (Fusion Engineering and Design, 2009)

Classifier based on support vector machine for JET plasma configurations - Dormido-Canto, S.; Farias, G.; Vega, J.; Dormido, R.; Sánchez, J.; Duro, N.; Vargas, H.; Murari, A. (Review of Scientific Instruments, 2008)

Structural pattern recognition methods based on string comparison for fusion databases - Dormido-Canto, S.; Farias, G.; Dormido, R.; Vega, J.; Sánchez, J.; Duro, N.; Vargas, H.; Rattá, G.; Pereira, A.; Portas, A. (Fusion Engineering and Design, 2008)

Two criteria for on-line detection of oscillations in nuclear fusion experiments - Duro, N.; Sánchez Moreno, J.; Dormido-Canto, S.; Dormido, R.; Farias, G.; Vargas, H.; Vega, J. (2007 15th IEEE-NPSS Real-Time Conference, RT, 2007)

Information retrieval and classification with wavelets and support vector machines - Dormido-Canto, S.; Vega, J.; Sánchez, J.; Farias, G. (Lecture Notes in Computer Science, 2005)

Teaching Control supported by Virtual Labs under a Competency-based curriculum - Vargas, H.; De La Torre, L.; Chacón, J.; Heradio, R.; Farías, G.; Fabregas, E.; Sanchez, J.; Dormido, S. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, 2018)

Teaching control in mobile robotics with V-REP and a Khepera IV library - Fabregas, E.; Farias, G.; Peralta, E.; Vargas, H.; Dormido, S. (2016 IEEE Conference on Control Applications, CCA 2016, 2016)

Virtual laboratory of a Spider Crane: An implementation based on an interoperability protocol - Chacon, J.; Farias, G.; Vargas, H.; Dormido, S. (2016 IEEE Conference on Control Applications, CCA 2016, 2016)

Development of a Khepera IV Library for the V-REP Simulator - Peralta, E.; Fabregas, E.; Farias, G.; Vargas, H.; Dormido, S. (IFAC-PapersOnLine, 2016)

A Khepera IV library for robotic control education using V-REP - Farias, G.; Fabregas, E.; Peralta, E.; Torres, E.; Dormido, S. (IFAC-PapersOnLine, 2017)

Two mobile robots platforms for experimentation: comparison and synthesis - Fabregas, E.; Farias, G.; Peralta, E.; Sánchez, J.; Dormido, S. (ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics, 2017)

A neural network approach for building an obstacle detection model by fusion of proximity sensors data - Farias, G.; Fabregas, E.; Peralta, E.; Vargas, H.; Hermosilla, G.; Garcia, G.; Dormido, S. (Sensors (Switzerland), 2018)

Modeling and multivariable analysis of a flotation column system - Castro, C.; Vargas, H.; Farias, G.; Fabregas, E.; Aracena, A.; Morales, J. (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings, 2019)

Automatic Recognition of Anomalous Patterns in Discharges by Applying Deep Learning - Farias, G.; Fabregas, E.; Dormido-Canto, S.; Vega, J.; Vergara, S. (Fusion Science and Technology, 2020)

Fall Detection and Activity Recognition Using Human Skeleton Features - Ramirez, H.; Velastin, S.A.; Meza, I.; Fabregas, E.; Makris, D.; Farias, G. (IEEE Access, 2021)

Nuclear Fusion Pattern Recognition by Ensemble Learning - Farias, G.; Fabregas, E.; Martínez, I.; Vega, J.; Dormido-Canto, S.; Vargas, H. (Complexity, 2021)

Fall detection using human skeleton features - Ramirez, H.; Velastin, S.A.; Fabregas, E.; Meza, I.; Makris, D.; Farias, G. (IET Conference Publications, 2021)

Position control of a mobile robot using reinforcement learning - Farias, G.; Garcia, G.; Montenegro, G.; Fabregas, E.; Dormido-Canto, S.; Dormido, S. (IFAC-PapersOnLine, 2020)

Simulación de Khepera IV en V-REP - Ernesto Fábregas; Emmanuel Peralta; Gonzalo Farias; Héctor Vargas; Sebastián Dormido (Actas de las XXXVII Jornadas de Automática: Madrid. 7, 8 y 9 de septiembre de 2016, 2021)

Human Activity Recognition by Sequences of Skeleton Features - Ramirez, H.; Velastin, S.A.; Aguayo, P.; Fabregas, E.; Farias, G. (Sensors, 2022)

Position Control of a Mobile Robot through Deep Reinforcement Learning - Quiroga, F.; Hermosilla, G.; Farias, G.; Fabregas, E.; Montenegro, G. (Applied Sciences (Switzerland), 2022)

Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator - Montenegro, G.; Chacón, R.; Fabregas, E.; Garcia, G.; Schröder, K.; Marroquín, A.; Dormido-Canto, S.; Farias, G. (Sensors, 2022)

Teaching automation with Factory I/O under a competency-based curriculum - Vargas, H.; Heradio, R.; Donoso, M.; Farias, G. (Multimedia Tools and Applications, 2022)

Deep learning exoplanets detection by combining real and synthetic data - Cuéllar, S.; Granados, P.; Fabregas, E.; Curé, M.; Vargas, H.; Dormido-Canto, S.; Farias, G. (PLoS ONE, 2022)

Preliminary results with BERT for human activity recognition using skeleton sequences features - Ramirez, H.; Velastin, S.A.; Fabregas, E.; Farias, G. (2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022, 2022)

BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN - Ramirez, H.; Velastin, S.A.; Cuellar, S.; Fabregas, E.; Farias, G. (Sensors (Basel, Switzerland), 2023)

Tecnologia para dotar a los Laboratorios Virtuales y Remotos de funcionalidades de Evaluacion Automatica - G. Farias; F. Gomez-Estern; L. De la Torre; D. Muñoz de la Peña; C. Sanchez; S. Dormido (Actas de las XXXIII Jornadas de Automática: Vigo, 5 al 7 de Septiembre de 2012, 2012)

Development and Control of a Real Spherical Robot - Schröder, K.; Garcia, G.; Chacón, R.; Montenegro, G.; Marroquín, A.; Farias, G.; Dormido-Canto, S.; Fabregas, E. (Sensors, 2023)

Mobile Robot Navigation Based on Embedded Computer Vision - Marroquín, A.; Garcia, G.; Fabregas, E.; Aranda-Escolástico, E.; Farias, G. (Mathematics, 2023)

Laboratorios virtuales y remotos de procesamiento de señales - Santos Peñas, Matilde; Farias Castro, Gonzalo Alberto (Revista iberoamericana de automática e informática industrial ( RIAI ), 2010)

Making decisions on brain tumor diagnosis by soft computing techniques - Farias, G.; Santos, M.; López, V. (Soft Computing, 2010)

Brain tumour diagnosis with wavelets and Support Vector Machines - Farias, G.; Santos, M.; López, V. (Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008, 2008)

Automatic determination of L/H transition times in DIII-D through a collaborative distributed environment - Farias, G.; Vega, J.; González, S.; Pereira, A.; Lee, X.; Schissel, D.; Gohil, P. (Fusion Engineering and Design, 2012)

Uncertainty Detection in Supervisor?Operator Audio Records of Real Electrical Network Operations - Acevedo, J.; Garcia, G.; Ramirez, R.; Fabregas, E.; Hermosilla, G.; Dormido-Canto, S.; Farias, G. (Electronics (Switzerland), 2024)

A Pragmatic Framework for Assessing Learning Outcomes in Competency-Based Courses - Vargas, H.; Heradio, R.; Farias, G.; Lei, Z.; De La Torre, L. (IEEE Transactions on Education, 2024)

Deep Learning Models to Reduce Stray Light in TJ-II Thomson Scattering Diagnostic - Correa, R.; Farias, G.; Fabregas, E.; Dormido-Canto, S.; Pastor, I.; Vega, J. (Sensors, 2024)

Analysis of Cryptographic Algorithms to Improve Cybersecurity in the Industrial Electrical Sector - Alonso, F.; Samaniego, B.; Farias, G.; Dormido-Canto, S. (Applied Sciences (Switzerland), 2024)

Explainable anomaly detection in spacecraft telemetry - Cuéllar, S.; Santos, M.; Alonso, F.; Fabregas, E.; Farias, G. (Engineering Applications of Artificial Intelligence, 2024)

Platform for Teaching Mobile Robotics - Fabregas, Ernesto; Farias, Gonzalo; Dormido-Canto, Sebastián; Guinaldo, María; Sánchez, José; Dormido Bencomo, Sebastián (Journal of Intelligent & Robotic Systems, 2015)

Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution - Schröder, K.; Farias, G.; Dormido-Canto, S.; Fabregas, E. (Energies, 2024)

Desarrollo de una aplicación para la integración de técnicas de reconocimiento de patrones - Gonzalo Alberto Farias Castro; Matilde Santos Peñas; Sebastián Dormido Canto (XXVI Jornadas de Automática: 7-10 de septiembre de 2005, Alicante-Elche, 2005)

Determinación de parámetros de la transformada Wavelet para la clasificación de señales del diagnóstico Scattering Thomson - Gonzalo Alberto Farias Castro; Matilde Santos Peñas; José Luis Fernández Marrón; Sebastián Dormido Canto (XXV Jornadas de Automática: Ciudad Real, 8, 9, y 10 de septiembre de 2004, 2004)

A programmable web platform for distributed data access, analysis and visualization - F. Esquembre; J. Chacón; J. Sáenz; E. Fabregas; G. Farias; J. Vega; S. Dormido-Canto (13th Technical Meeting on Plasma Control Systems, Data Management and Remote Experiments in Fusion Research (IAEA-CODAC-TM2021), 2021)

Enhancing Photovoltaic Power Predictions with Deep Physical Chain Model - Dormido-Canto, S.; Rohland, J.; López, M.; Garcia, G.; Fabregas, E.; Farias, G. (Algorithms, 2024)

Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques - Olivares, E.; Curé, M.; Araya, I.; Fabregas, E.; Arcos, C.; Machuca, N.; Farias, G. (Mathematics, 2024)

Cooperative Formation Control of a Multi-Agent Khepera IV Mobile Robots System Using Deep Reinforcement Learning - Garcia, G.; Eskandarian, A.; Fabregas, E.; Vargas, H.; Farias, G. (Applied Sciences (Switzerland), 2025)

Deep Reinforcement Learning Applied to a Spherical Robot for Target Tracking - Escorza,O.; Garcia,G.; Fabregas,E.; Velastin,S.A.; Eskandarian,A.; Farias,G. (IEEE Transactions on Industrial Electronics, 2025)