Antonio Artés-Rodríguez

Modeling Phone Call Durations via Switching Poisson Processes with Applications in Mental Health

David Ramírez, Pablo Bonilla-Escribano, Antonio Artés-Rodríguez, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol

Antonio Artés-Rodríguez, Sofian Berrouiguet, María Luisa Barrigón, 2019, BMC Psychiatry.

Combining Continuous Smartphone Native Sensors Data Capture and Unsupervised Data Mining Techniques for Behavioral Changes Detection: A Case Series of the Evidence-Based Behavior (eB2) Study

David Ramírez, Antonio Artés-Rodríguez, Pablo Moreno-Muñoz, 2018, JMIR mHealth and uHealth.

Passive detection of behavioral shifts for suicide attempt prevention pdf

Lorena Romero-Medrano, Antonio Artés-Rodríguez, Pablo Moreno-Muñoz, 2020, ArXiv.

Variables associated with familial suicide attempts in a sample of suicide attempters

Ricardo Santiago-Mozos, Mario de Prado-Cumplido, José M. Leiva-Murillo, 2007, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

Using data mining to explore complex clinical decisions: A study of hospitalization after a suicide attempt.

Ricardo Santiago-Mozos, Antonio Artés-Rodríguez, Enrique Baca-García, 2006, The Journal of clinical psychiatry.