Assessment of linear disruption predictors using JT-60U data von Vega, J., Hernández, F., Dormido-Canto, S., Isayama, A., Joffrin, E., Matsunaga, G., Suzuki, T.

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Nuclear Fusion Pattern Recognition by Ensemble Learning von Farias, G., Fabregas, E., Martínez, I., Vega, J., Dormido-Canto, S., Vargas, H.

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Developing a remote laboratory for engineering education von Fabregas, E., Farias, G., Dormido-Canto, S., Dormido, S., Esquembre, F.

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Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time von Vega, J., Dormido-Canto, S., Castro, R., Fernández, J.D., Murari, A.

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Adaptive high learning rate probabilistic disruption predictors from scratch for the next generation of tokamaks von Vega, J., Murari, A., Dormido-Canto, S., Moreno, R., Pereira, A., Acero, A.

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Performance analysis of the centroid method predictor implemented in the JET real time network von Gadariya, D, Vega, J, Stuart, C, Rattá, G, Card, P, Murari, A, Dormido-Canto, S, Contributors, JET

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Automatic recognition of anomalous patterns in discharges by recurrent neural networks von Farias, G., Fabregas, E., Dormido-Canto, S., Vega, J., Vergara, S.

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Frontiers in data analysis methods: from causality detection to data driven experimental design von Murari, A, Peluso, E, Craciunescu, T, Dormido-Canto, S, Lungaroni, M, Rossi, R, Spolladore, L, Vega, J, Gelfusa, M

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Real-Time Implementation in JET of the SPAD Disruption Predictor Using MARTe von Esquembri, S., Vega, J., Murari, A., Ruiz, M., Barrera, E., Dormido-Canto, S., Felton, R., Tsalas, M., Valcarcel, D.

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Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET von Murari, A., Lungaroni, M., Peluso, E., Gaudio, P., Vega, J., Dormido-Canto, S., Baruzzo, M., Gelfusa, M.

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Development of an efficient real-time disruption predictor from scratch on JET and implications for ITER von Dormido-Canto, S., Vega, J., Ramírez, J.M., Murari, A., Moreno, R., López, J.M., Pereira, A.

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Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells von González, Santiago G., Dormido Canto, S., Sánchez Moreno, José

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Automatic recognition of plasma relevant events: Implications for ITER von Vega, J., Castro, R., Dormido-Canto, S., Rattá, G.A., Ruiz, M.

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Development of a Web-Based Control Laboratory for Automation Technicians: The Three-Tank System von Dormido, R., Vargas, H., Duro, N., Sanchez, J., Dormido-Canto, S., Farias, G., Esquembre, F., Dormido, S.

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Incremental support vector machines for fast reliable image recognition von Makili, L., Vega, J., Dormido-Canto, S.

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Implementation of the Disruption Predictor APODIS in JET's Real-Time Network Using the MARTe Framework von López, Juan Manuel, Vega, J., Alves, D., Dormido-Canto, S., Murari, A., Ramírez, J. M., Felton, R., Ruiz, M., de Arcas, G.

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Software parallelization of a probabilistic classifier based on Venn Prediction: Application to the TJ-II Thomson Scattering von Martínez, F.J., Vega, J., Dormido-Canto, S., Pastor, I., Fabregas, E., Farias, G.

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Initial results with time series forecasting of TJ-II heliac waveforms von Farias, G., Dormido-Canto, S., Vega, J., Díaz, N.

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Simulations of nuclear fusion diagnostics based on projections with Venn predictors and context drift detection von Vega, J., Murari, A., Dormido-Canto, S., Cruz, T.

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Robustness and increased time resolution of JET Advanced Predictor of Disruptions von Moreno, R, Vega, J, Murari, A, Dormido-Canto, S, López, J M, Ramírez, J M

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