Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes

di Pardo, Juan, Zamora-Martínez, Francisco, Botella-Rocamora, Paloma
Pubblicato in Sensors (Basel) (2015)

Addendum: Pardo, J.; Zamora-Martínez, F.; Botella-Rocamora, P. Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes. Sensors 2...

di Pardo, Juan, Zamora-Martínez, Francisco, Botella-Rocamora, Paloma
Pubblicato in Sensors (Basel) (2015)

Supervised filters for EEG signal in naturally occurring epilepsy forecasting

di Muñoz-Almaraz, Francisco Javier, Zamora-Martínez, Francisco, Botella-Rocamora, Paloma, Pardo, Juan
Pubblicato in PLoS One (2017)

Fallback Variable History NNLMs: Efficient NNLMs by precomputation and stochastic training

di Zamora-Martínez, Francisco J., España-Boquera, Salvador, Castro-Bleda, Maria Jose, Palacios-Corella, Adrian
Pubblicato in PLoS One (2018)

Crowdsourcing reproducible seizure forecasting in human and canine epilepsy

di Brinkmann, Benjamin H., Wagenaar, Joost, Abbot, Drew, Adkins, Phillip, Bosshard, Simone C., Chen, Min, Tieng, Quang M., He, Jialune, Muñoz-Almaraz, F. J., Botella-Rocamora, Paloma, Pardo, Juan, Zamora-Martinez, Francisco, Hills, Michael, Wu, Wei, Korshunova, Iryna, Cukierski, Will, Vite, Charles, Patterson, Edward E., Litt, Brian, Worrell, Gregory A.
Pubblicato in Brain (2016)