Jesús Vega

发表

PAPI based federation as a test-bed for a common security infrastructure in EFDA sites

A. Portas, R. Castro, Jesús Vega, 2008 .

Dynamic Clustering and Modeling Approaches for Fusion Plasma Signals

H. JoséAntonioMartín, Gonzalo Farias, José Sánchez Moreno, 2009, IEEE Transactions on Instrumentation and Measurement.

Introduction to Conformal Predictors Based on Fuzzy Logic Classifiers

Jesús Vega, Andrea Murari, D. Mazon, 2012, AIAI.

Applying Forecasting to Fusion Databases

Gonzalo Farias, Sebastián Dormido, Jesús Vega, 2015, SLDS.

Confinement Regime Identification Using Artificial Intelligence Methods

Jesús Vega, Giuseppe Rattá, J. Vega, 2015, SLDS.

Determination of the optimal number of clusters using a spectral clustering optimization

Sebastián Dormido, Raquel Dormido, Angel Mur, 2016, Expert Syst. Appl..

Computationally Efficient Five-Class Image Classifier Based on Venn Predictors

Sebastián Dormido, Jesús Vega, Ignacio Pastor, 2015, SLDS.

Automated clustering procedure for TJ-II experimental signals

Gonzalo Pajares, Sebastián Dormido-Canto, Gonzalo Farias, 2006 .

Proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications - Volume 9653

Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, 2016 .

An event-oriented database for continuous data flows in the TJ-II environment

Augusto Pereira, A. Portas, Jesús Vega, 2008 .

Identification of Confinement Regimes in Tokamak Plasmas by Conformal Prediction on a Probabilistic Manifold

Guido Van Oost, Jesús Vega, Geert Verdoolaege, 2012, AIAI.

A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars

Michela Gelfusa, Emmanuele Peluso, Pasqualino Gaudio, 2016, COPA.

Unsupervised event detection and classification of multichannel signals

Sebastián Dormido, Raquel Dormido, Angel Mur, 2016, Expert Syst. Appl..

A standard data access layer for fusion devices R&D programs

C.A.F. Varandas, Jesús Vega, Horácio Fernandes, 2007 .

Review of disruption predictors in nuclear fusion: Classical, from scratch and anomaly detection approaches

Sebastián Dormido, Manuel Ruiz, Jesús Vega, 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications

Michela Gelfusa, Emmanuele Peluso, Pasqualino Gaudio, 2017, KDIR.

First applications of structural pattern recognition methods to the investigation of specific physical phenomena at JET

Gonzalo Pajares, Sebastián Dormido-Canto, Gonzalo Farias, 2008 .

Information Retrieval and Classification with Wavelets and Support Vector Machines

Gonzalo Farias, José Sánchez Moreno, Sebastián Dormido, 2005, IWINAC.

A new class of indicators for the model selection of scaling laws in nuclear fusion

Michela Gelfusa, Jesús Vega, Andrea Murari, 2013 .

How to Extract Information and Knowledge from Fusion Massive Databases

A. Murari, Jakob Svensson, E. de la Luna, 2008 .

Preliminary numerical investigations of conformal predictors based on fuzzy logic classifiers

Jesús Vega, Andrea Murari, D. Mazon, 2015, Annals of Mathematics and Artificial Intelligence.

Searching for patterns in TJ-II time evolution signals

Gonzalo Pajares, Sebastián Dormido-Canto, Gonzalo Farias, 2006 .

Structural pattern recognition methods based on string comparison for fusion databases

Sebastián Dormido-Canto, Gonzalo Farias, A. Portas, 2008 .

SOM and Feature Weights Based Method for Dimensionality Reduction in Large Gauss Linear Models

Sebastián Dormido, Jesús Vega, Fernando Pavón, 2015, SLDS.

Simulations of nuclear fusion diagnostics based on projections with Venn predictors and context drift detection

Sebastián Dormido, Jesús Vega, Andrea Murari, 2013, Annals of Mathematics and Artificial Intelligence.

Conformal Prediction of Disruptions from Scratch: Application to an ITER Scenario

Sebastián Dormido, Jesús Vega, Raúl Moreno, 2016, COPA.

Unsupervised Event Characterization and Detection in Multichannel Signals: An EEG application

Sebastián Dormido, Raquel Dormido, Angel Mur, 2016, Sensors.