Zobrazeno 1 - 10
of 2 004
pro vyhledávání: '"Pacchiarotti, A"'
We prove large and moderate deviations for the output of Gaussian fully connected neural networks. The main achievements concern deep neural networks (i.e., when the model has more than one hidden layer) and hold for bounded and continuous pre-activa
Externí odkaz:
http://arxiv.org/abs/2401.01611
Autor:
Corponi, Filippo, Li, Bryan M., Anmella, Gerard, Valenzuela-Pascual, Clàudia, Mas, Ariadna, Pacchiarotti, Isabella, Valentí, Marc, Grande, Iria, Benabarre, Antonio, Garriga, Marina, Vieta, Eduard, Young, Allan H, Lawrie, Stephen M., Whalley, Heather C., Hidalgo-Mazzei, Diego, Vergari, Antonio
Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood disorders (MDs), a major determinant of worldwide disease burden. Howeve
Externí odkaz:
http://arxiv.org/abs/2311.04215
Autor:
Filippo Corponi, Bryan M. Li, Gerard Anmella, Clàudia Valenzuela-Pascual, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antonio Benabarre, Marina Garriga, Eduard Vieta, Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio Vergari
Publikováno v:
npj Mental Health Research, Vol 3, Iss 1, Pp 1-11 (2024)
Abstract Bipolar disorder (BD) involves autonomic nervous system dysfunction, detectable through heart rate variability (HRV). HRV is a promising biomarker, but its dynamics during acute mania or depression episodes are poorly understood. Using a Bay
Externí odkaz:
https://doaj.org/article/2bc63a9613e2475b87c564e94159d904
Autor:
Macci, Claudio, Pacchiarotti, Barbara
We prove large and moderate deviation results for sequences of compound sums, where the summands are i.i.d. random variables taking values in a separable Banach space. We establish that the results hold by proving that we are dealing with exponential
Externí odkaz:
http://arxiv.org/abs/2303.08788
Autor:
Gerard Anmella, Filippo Corponi, Bryan M. Li, Ariadna Mas, Marina Garriga, Miriam Sanabra, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Anna Giménez-Palomo, Isabel Agasi, Anna Bastidas, Myriam Cavero, Miquel Bioque, Clemente García-Rizo, Santiago Madero, Néstor Arbelo, Andrea Murru, Silvia Amoretti, Anabel Martínez-Aran, Victoria Ruiz, Yudit Rivas, Giovanna Fico, Michele De Prisco, Vincenzo Oliva, Aleix Solanes, Joaquim Radua, Ludovic Samalin, Allan H. Young, Antonio Vergari, Eduard Vieta, Diego Hidalgo-Mazzei
Publikováno v:
BJPsych Open, Vol 10 (2024)
Background Bipolar disorder is highly prevalent and consists of biphasic recurrent mood episodes of mania and depression, which translate into altered mood, sleep and activity alongside their physiological expressions. Aims The IdenTifying dIgital b
Externí odkaz:
https://doaj.org/article/40c07bd55c0d4871954034b63e5164da
The term moderate deviations is often used in the literature to mean a class of large deviation principles that, in some sense, fills the gap between a convergence in probability of some random variables to a constant and a weak convergence to a cent
Externí odkaz:
http://arxiv.org/abs/2210.02098
Autor:
Filippo Corponi, Bryan M. Li, Gerard Anmella, Ariadna Mas, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Marina Garriga, Eduard Vieta, Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo-Mazzei, Antonio Vergari
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Mood disorders (MDs) are among the leading causes of disease burden worldwide. Limited specialized care availability remains a major bottleneck thus hindering pre-emptive interventions. MDs manifest with changes in mood, sleep, and motor act
Externí odkaz:
https://doaj.org/article/60db65f5f8d5460bb40878054c16efb2
Autor:
Baldi, Paolo, Pacchiarotti, Barbara
We investigate the Large Deviation behavior in small time of continuous Gaussian processes. We introduce a general procedure allowing to derive Large Deviation Principles in small time starting from the well understood context of Large Deviation Prin
Externí odkaz:
http://arxiv.org/abs/2207.12037
Autor:
Filippo Corponi, Bryan M Li, Gerard Anmella, Clàudia Valenzuela-Pascual, Ariadna Mas, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Marina Garriga, Eduard Vieta, Allan H Young, Stephen M Lawrie, Heather C Whalley, Diego Hidalgo-Mazzei, Antonio Vergari
Publikováno v:
JMIR mHealth and uHealth, Vol 12, p e55094 (2024)
BackgroundPersonal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood disorders (MDs), a major determinant of the worldwide disease
Externí odkaz:
https://doaj.org/article/c4349a10d4314caf9012a9fe4dfa841b
Autor:
Macci, C., Pacchiarotti, B.
The main results in this paper concern large deviations for families of non-Gaussian processes obtained as suitable perturbations of continuous centered multivariate Gaussian processes which satisfy a large deviation principle. We present some coroll
Externí odkaz:
http://arxiv.org/abs/2205.10547