Results 141 to 150 of about 65,893 (254)

A Quasi-Monte Carlo Method Based on Neural Autoregressive Flow. [PDF]

Entropy (Basel)
Wei Y, Xi W.
europepmc   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

SM-TCN: Multi-Resolution Sparse Convolution Network for Efficient High-Dimensional Time Series Forecast. [PDF]

Sensors (Basel)
Guo Z, Sun Y, Wu T.
europepmc   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

Future Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh, Anurag Singh, Ashutosh Upadhyay, Navneet Kumar   +3 more
wiley   +1 more source

Toward ambulatory monitoring of vocal behavior at the physiological level using deep ensembles and Bayesian neural networks. [PDF]

JASA Express Lett
Zhang Z.
europepmc   +1 more source

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

International Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago, Efthymios Ladoukakis, Dorota Scibior‐Bentkowska, Belinda Nedjai   +3 more
wiley   +1 more source

High-order expansion of neural ordinary differential equation flows. [PDF]

Sci Adv
Izzo D, Origer S, Acciarini G, Biscani F.   +3 more
europepmc   +1 more source

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

Neural correlates of resilience to trauma during adolescence: A multi‐modal study

JCPP Advances, EarlyView.
Abstract Background Understanding resilience mechanisms is important for advancing early intervention strategies, yet research on the neurobiology of resilience in adolescents is limited. The present study examined the brain structural and resting‐state functional connectivity (rsFC) correlates of resilience to internalizing and externalizing symptoms ...
Lu Zhang, Vanessa L. Cropley, Divyangana Rakesh, Sarah Whittle   +3 more
wiley   +1 more source

Interpretable Sensor Change Detection via Conditional Cauchy-Schwarz Divergence. [PDF]

Sensors (Basel)
Wang W, Shen Y, Ni Y, Wu W.
europepmc   +1 more source