Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …

Transfer learning aims at improving the performance of target learners on target domains by
transferring the knowledge contained in different but related source domains. In this way, the …

In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …

As the rolling bearings being the key part of rotary machine, its healthy condition is quite
important for safety production. Fault diagnosis of rolling bearing has been research focus …

Embedding models for deterministic Knowledge Graphs (KG) have been extensively
studied, with the purpose of capturing latent semantic relations between entities and …

A finite set of lines partitions the Euclidean plane into a cell complex. Similarly, a finite set of
(d-1)-dimensional hyperplanes partitions d-dimensional Euclidean space. An algorithm is …

The problem of different characters of heterogeneous synthetic aperture radar (SAR) images
leads to poor performances for transfer learning of SAR image classification. To address this …

Emotions play a crucial role in decision-making, brain activity, human cognition, and social
intercourse. This paper proposes a hierarchical network structure with subnetwork nodes to …

Multiview clustering (MVC), which aims to explore the underlying cluster structure shared by
multiview data, has drawn more research efforts in recent years. To exploit the …

The design of the evolutionary algorithm with learning capability from past search
experiences has attracted growing research interests in recent years. It has been …