3 papers
cs.SI2025
Deep learning framework for predicting stochastic take-off and die-out of early spreading
Wenchao He, Tao Jia
Large-scale outbreaks of epidemics, misinformation, or other harmful contagions pose significant threats to human society, yet the fundamental question of whether an emerging outbr…
cs.LG2025
Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models
Kun Feng, Shaocheng Lan, Yuchen Fang +6
Inherent temporal heterogeneity, such as varying sampling densities and periodic structures, has posed substantial challenges in zero-shot generalization for Time Series Foundation…
cs.LG2019
E-Sports Talent Scouting Based on Multimodal Twitch Stream Data
Anna Belova, Wen He, Ziyi Zhong
We propose and investigate feasibility of a novel task that consists in finding e-sports talent using multimodal Twitch chat and video stream data. In that, we focus on predicting…