In multi-domain learning (MDL) scenarios, high labeling effort is requir...
Multi-domain learning (MDL) refers to simultaneously constructing a mode...
Survival risk prediction using gene expression data is important in maki...
Learner corpus collects language data produced by L2 learners, that is s...
Building classifiers on multiple domains is a practical problem in the r...
This paper presents a summary of the DFGC 2021 competition. DeepFake
tec...
Dynamic Network Embedding (DNE) has recently attracted considerable atte...
Learning low-dimensional topological representation of a network in dyna...
Software-intensive organizations rely on large numbers of software asset...
Unlike the constraint frontal face condition, faces in the wild have var...
Learning topological representation of a network in dynamic environments...
An attributed network enriches a pure network by encoding a part of wide...