Data-driven machine learning (ML) is promoted as one potential technology to be used in
next-generation wireless systems. This led to a large body of research work that applies ML …

The field of mobile and wearable computing is undergoing a revolutionary integration of
machine learning. Devices can now diagnose diseases, predict heart irregularities, and …

The increasing availability of low-cost wearable devices and smartphones has significantly
advanced the field of sensor-based human activity recognition (HAR), attracting …

Human Activity Recognition (HAR) based on embedded sensor data has become a popular
research topic in ubiquitous computing, which has a wide range of practical applications in …

Visual Question-Answering, a technology that generates textual responses from an image
and natural language question, has progressed significantly. Notably, it can aid in tracking …

Human Activity Recognition (HAR) models often suffer from performance degradation in real-
world applications due to distribution shifts in activity patterns across individuals. Test-Time …

Mouse movement data contain rich information about users, performed tasks, and user
interfaces, but separating the respective components remains challenging and unexplored …

Sensor-based human activity recognition (HAR) has become an important task in various
application domains. However, existing HAR practices such as convolutional networks and …

Visual body signals are designated body poses that deliver an application-specific
message. Such signals are widely used for fast message communication in sports (signaling …

Functional connectivity (FC), derived from resting-state functional magnetic resonance
imaging (rs-fMRI), has been widely used to characterize brain abnormalities in disorders. FC …