Pairs trading is an effective statistical arbitrage strategy considering the spread of paired
stocks in a stable cointegration relationship. Nevertheless, rapid market changes may break …

Enhancing the sound quality of historical music recordings is a long-standing problem. This
paper presents a novel denoising method based on a fully-convolutional deep neural …

The state of Amapá within the Amazon biome has a high complexity of ecosystems formed
by forests, savannas, seasonally flooded vegetation, mangroves, and different land uses …

Audio codecs are typically transform-domain based and efficiently code stationary audio
signals, but they struggle with speech and signals containing dense transient events such as …

This paper explores the integration of model-based and data-driven approaches within the
realm of neural speech and audio coding systems. It highlights the challenges posed by the …

Abnormal trajectory detection from surveillance cameras is a highly desirable but
challenging task, especially for online traffic incident alert on freeways. Existing methods are …

People communicate daily with their mobile phones and in some cases, the quality of the
communication may be vital. Thus, there is a clear interest in improving the quality of …

Speech enhancement aims to improve speech quality by eliminating noise and distortions.
While most speech enhancement methods address signal independent additive sources of …

Current works on spam detection in product reviews tend to ignore the temporal relevance
among reviews in the user or product entity, resulting in poor detection performance. To …

To facilitate low-cost connected automated vehicle (CAV) system development, this study
proposes two interpretable dimensionality reduction techniques in vehicle trajectory …