Multi-modality image fusion refers to generating a complementary image that integrates
typical characteristics from source images. In recent years, we have witnessed the …

Deep learning technology has recently achieved remarkable progress in infrared and visible
image fusion. Nevertheless, existing methods have encountered blurred targets or unfaithful …

Automated Machine Learning (AutoML) technology can lower barriers in data work yet still
requires human intervention to be functional. However, the complex and collaborative …

Over the last decade, the long-running endeavour to automate high-level processes in
machine learning (ML) has risen to mainstream prominence, stimulated by advances in …

Multimodal land cover classification (MLCC) using the optical and synthetic aperture radar
(SAR) modalities has resulted in outstanding performances over using only unimodal data …

Reproducibility and replicability are pillars of the scientific method used to build confidence
in scientific findings. In the wake of a replication crisis, more attention has been brought to …

Designing neural architecture is very important for traffic forecasting. In the past decade, it
mainly depends on human experts. Recently, neural architecture search (NAS) has been …

Over the last decade, the long-running endeavour to automate high-level processes in
machine learning (ML) has risen to mainstream prominence, stimulated by advances in …

The term Multimedia has been taking on different meanings from its first advent in 1960s
until today's common usage which refers multimedia to “an electronically delivered …