1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty
Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi
Rainfall-induced landslides pose a growing risk worldwide as climate change intensifies extreme rainfall events. To provide sufficient evacuation time, landslide early warning syst…
MobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data
Haruki Yonekura, Ren Ozeki, Tatsuya Amano +2
Modern mobility platforms have stored vast streams of GPS trajectories, temporal metadata, free-form textual notes, and other unstructured data. Privacy statutes such as the GDPR r…
Restoring Super-High Resolution GPS Mobility Data
Haruki Yonekura, Ren Ozeki, Hamada Rizk +1
This paper presents a novel system for reconstructing high-resolution GPS trajectory data from truncated or synthetic low-resolution inputs, addressing the critical challenge of ba…
Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data
Ren Ozeki, Haruki Yonekura, Hamada Rizk +1
Accurate taxi-demand prediction is essential for optimizing taxi operations and enhancing urban transportation services. However, using customers' data in these systems raises sign…
CROSS-Net: Region-Agnostic Taxi-Demand Prediction Using Feature Disentanglement
Ren Ozeki, Haruki Yonekura, Aidana Baimbetova +2
The growing demand for ride-hailing services has led to an increasing need for accurate taxi demand prediction. Existing systems are limited to specific regions, lacking generality…