Abstract Extreme Multi-label Text Classification (XMTC) is a key task of finding the most
relevant labels from a large label set for a document. Although some deep learning-based …

Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …

Cell-free massive MIMO systems consist of many distributed access points with simple
components that jointly serve the users. In millimeter wave bands, only a limited set of …

Many online platforms now generate data in a streaming manner, resulting in the continuous
production of new features. Multi-label data generation has also surged in recent years …

Hyper parameter optimization (HPO) is a crucial step in modern machine learning systems.
Bayesian optimization (BO) has shown great promise in HPO, where the parameter …

Due to the complexity of data characteristics, multi-label learning in data mining has been
proposed by scholars to solve the problem of information knowledge in the era of big data. In …

An intelligent transport system (ITS) is fully valuable only if it can dynamically and aptly
integrate all the latest cutting‐edge technologies. An ITS focuses on providing services like …

As an important research topic with well-recognized practical values, classification of social
streams has been identified with increasing popularity with social data, such as the tweet …

Music has always been a popular media because it can relax our pressure of life. However,
the music appealing to an individual could shift under his/her different emotions. For …

Online news comment sections face a surge in uncivil, abusive and even straightforwardly
hateful and threatening posts. In Germany especially the refugee crisis beginning in 2015 …