Any computer vision application development starts off by acquiring images and data, then
preprocessing and pattern recognition steps to perform a task. When the acquired images …

Credit card fraud detection is a challenging task since fraudulent actions are hidden in
massive legitimate behaviors. This work aims to learn a new representation for each …

Expressive synthetic speech is essential for many human-computer interaction and audio
broadcast scenarios, and thus synthesizing expressive speech has attracted much attention …

With the popularity of credit cards worldwide, timely and accurate fraud detection has
become critically important to ensure the safety of their user accounts. Existing models …

Accurate load forecasting is essential for power system stability and grid dispatch
optimization. However, this task is challenging due to the inherent instability and volatility of …

This paper proposes a unified model to conduct emotion transfer, control and prediction for
sequence-to-sequence based fine-grained emotional speech synthesis. Conventional …

The free and open data policy of Sentinel-1 SAR images enables Radar interferometry
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …

With the development of Internet cloud technology, the scale of data is expanding.
Traditional processing methods find it difficult to deal with the problem of information …

Recently, denoising diffusion models have demonstrated remarkable performance among
generative models in various domains. However, in the speech domain, there are limitations …

Emotion recognition in conversation (ERC) is an important research topic in artificial
intelligence. Different from the emotion estimation in individual utterances, ERC requires …