4 accepted papers
This paper presents a novel approach called Graph Embedded Stochastic Configuration Networks (GESCNs) for complex data classification. To enhance the learning of geometric and discriminative features, especially in imbalanced and noisy datasets, the proposed GESCNs method integrates graph embedding…
Seismic activity prediction is usually considered an infeasible and impossible task due to its intricate underlying mechanism. However, the rapid development of high-performance monitoring systems and artificial intelligence techniques for complex data modeling has reignited interest in exploring fa…
Speech-based automatic smoker identification (also known as smoker/non-smoker classification) aims to identify speakers’ smoking status from their speech. In the COVID-19 pandemic, speech-based automatic smoker identification approaches have received more attention in smoking cessation research due…
We propose a novel pitch estimation technique called DeepF0, which leverages the available annotated data to directly learns from the raw audio in a data-driven manner. f <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</inf> estimation is important in…