Zobrazeno 1 - 10
of 80
pro vyhledávání: '"A. Onnela"'
Speech emotion recognition (SER) systems often struggle in real-world environments, where ambient noise severely degrades their performance. This paper explores a novel approach that exploits prior knowledge of testing environments to maximize SER pe
Externí odkaz:
http://arxiv.org/abs/2407.17716
Autor:
Cai, Xiaoxuan, Zeng, Li, Fowler, Charlotte, Dixon, Lisa, Ongur, Dost, Baker, Justin T., Onnela, Jukka-Pekka, Valeri, Linda
Mobile technology (mobile phones and wearable devices) generates continuous data streams encompassing outcomes, exposures and covariates, presented as intensive longitudinal or multivariate time series data. The high frequency of measurements enables
Externí odkaz:
http://arxiv.org/abs/2407.17666
We introduce a family of parsimonious network models that are intended to generalize the configuration model to temporal settings. We present consistent estimators for the model parameters and perform numerical simulations to illustrate the propertie
Externí odkaz:
http://arxiv.org/abs/2407.12175
Autor:
Matabuena, Marcos, Ghosal, Rahul, Mozharovskyi, Pavlo, Padilla, Oscar Hernan Madrid, Onnela, Jukka-Pekka
Depth measures have gained popularity in the statistical literature for defining level sets in complex data structures like multivariate data, functional data, and graphs. Despite their versatility, integrating depth measures into regression modeling
Externí odkaz:
http://arxiv.org/abs/2405.13970
Autor:
Wang, Maxwell H., Onnela, Jukka-Pekka
When modeling the dynamics of infectious disease, the incorporation of contact network information allows for the capture of the non-randomness and heterogeneity of realistic contact patterns. Oftentimes, it is assumed that the underlying contact pat
Externí odkaz:
http://arxiv.org/abs/2404.02924
Complex survey designs are commonly employed in many medical cohorts. In such scenarios, developing case-specific predictive risk score models that reflect the unique characteristics of the study design is essential. This approach is key to minimizin
Externí odkaz:
http://arxiv.org/abs/2403.19752
In this paper, we introduce a kNN-based regression method that synergizes the scalability and adaptability of traditional non-parametric kNN models with a novel variable selection technique. This method focuses on accurately estimating the conditiona
Externí odkaz:
http://arxiv.org/abs/2402.01635
Network models are increasingly used to study infectious disease spread. Exponential Random Graph models have a history in this area, with scalable inference methods now available. An alternative approach uses mechanistic network models. Mechanistic
Externí odkaz:
http://arxiv.org/abs/2401.04775
Network science explores intricate connections among objects, employed in diverse domains like social interactions, fraud detection, and disease spread. Visualization of networks facilitates conceptualizing research questions and forming scientific h
Externí odkaz:
http://arxiv.org/abs/2401.04771
Autor:
Wang, Maxwell H., Onnela, Jukka-Pekka
Individual-based models of contagious processes are useful for predicting epidemic trajectories and informing intervention strategies. In such models, the incorporation of contact network information can capture the non-randomness and heterogeneity o
Externí odkaz:
http://arxiv.org/abs/2311.04238