Manuscript Topics

Massive amounts of data are generated nowadays not only from sensors, but also from humans via smartphones, web and social media. The highly heterogenous nature of these data require multimodal analytics that are able to provide meaningful, fast and precise outcomes to decision makers. Both prescriptive and predictive analytics are based on the latest advances in Artificial Intelligence (AI), when it is explainable and trustworthy.

This special issue encourages submissions on all aspects of multimodal analytics, covering multimodal and semantic data indexing, deep learning and statistical methods in learning mechanisms, unsupervised or semi-supervised learning, few-shot learning, and learning with limited training data. The analytics are expected to serve specific applications and the papers need to highlight the added value of the obtained outcomes in the considered domain (e.g., health, creative industries, environment, public safety, security, media, and Earth Observation).

Keywords

Multimodal fusion; Deep learning; Statistical learning; Explainable AI; Neural networks

Instructions for authors
https://www.aimspress.com/era/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/