In this paper, we study the problem of traffic forecasting, which aims to predict the future
traffic state of the road network. One key challenge is that the previous approaches lack …

For multi-attribute decision-making problems with interval numbers whose attribute weights
are completely unknown, it is difficult to compare the value of interval numbers. So this paper …

Predicting outcomes in sports is important for teams, leagues, bettors, media, and fans.
Given the growing amount of player tracking data, sports analytics models are increasingly …

Petroleum is widely used as one of the important energy sources. Engineers need to
continuously adjust strategies to maximize oil recovery during development. Then strategy …

Understanding trajectories in multi-agent scenarios requires addressing various tasks,
including predicting future movements, imputing missing observations, inferring the status of …

Motion prediction in soccer involves capturing complex dynamics from player and ball
interactions. We present FootBots, an encoder-decoder transformer-based architecture …

Accidents resulting from falls are a pressing global concern, especially among the elderly,
leading to fatalities, post-fall complications, and limitations in daily activities. Our work …

Over the past decade, sophisticated sports data acquisition systems have proliferated
detailed player event and tracking data across many conventional sports, such as baseball …

The task of forecasting (or imputing) player trajectories based on the future movement of the
ball or the opposing team has been seldom explored by state-ofthe-art methods. To our …

The unpredictable nature of human be-haviour is a critical aspect in the domain of trajectory
prediction, especially when viewed in the context of autonomous vehicles. Generational …