Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

Compared with single-modal content, multimodal data can express users' feelings and
sentiments more vividly and interestingly. Therefore, multimodal sentiment analysis has …

Background: Code smells are symptoms that something may be wrong in software systems
that can cause complications in maintaining software quality. In literature, there exist many …

With the rapid progress of earth observation technology, cross-modal remote sensing (RS)
image-sound retrieval has attracted much attention from the field of RS data processing …

Travel route planning aims to map out a feasible sightseeing itinerary for a traveler covering
famous attractions and meeting the tourist's desire. It is very useful for tourists to plan their …

In recent years, the number of people who endanger their lives has been increasing rapidly
due to the mental burden of depression. The online social network (OSN) provides …

Fashion compatibility modeling, which is used to estimate the matching degree of a given
set of fashion items, has received increasing attention in recent years. However, existing …

Object detection is a basic part in remote sensing image processing. At present, it is more
common to conduct the topic based on deep learning, however the volume of remote …

Emotion recognition based on text–audio modalities is the core technology for transforming
a graphical user interface into a voice user interface, and it plays a vital role in natural …

Existing studies have shown that various types of information on the online social network
(OSN) can help predict the early stage of depression. However, studies using machine …