-
Article
Open AccessPredicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)
Low-dimensional vector representations of network nodes have proven successful to feed graph data to machine learning algorithms and to improve performance across diverse tasks. Most of the embedding technique...
-
Chapter and Conference Paper
Early Turnover Prediction of New Restaurant Employees from Their Attendance Records and Attributes
It is widely known that the turnover rate of new employees is high....
-
Chapter and Conference Paper
Early Churn User Classification in Social Networking Service Using Attention-Based Long Short-Term Memory
Social networking services (SNSs) see much early churn of new users. SNSs can provide effective interventions by identifying potential early churn users and important factors leading to early churn. The long s...
-
Reference Work Entry In depth
Spectrum Database and Smart Spectrum
In this chapter, spectrum management technologies based on a spectrum database are introduced. Statistical spectrum maps and spectrum databases are important components for understanding a spectrum environment...
-
Chapter and Conference Paper
Haptic Directional Instruction System for Sports
We proposed a new haptic instruction system for sports trainings that provides field players with instructed directions. The system consists of a stimulation unit (SU) for a player and an instruction unit (IU)...
-
Living Reference Work Entry In depth
Spectrum Database and Smart Spectrum
In this chapter, spectrum management technologies based on a spectrum database are introduced. Statistical spectrum maps and spectrum databases are important components for understanding a spectrum environment...
