In many real-world scenarios, distribution shifts exist in the streaming...
Feature transformation aims to reconstruct an effective representation s...
The recent interweaving of AI-6G technologies has sparked extensive rese...
Most session-based recommender systems (SBRSs) focus on extracting
infor...
Feature transformation for AI is an essential task to boost the effectiv...
Since the introduction of fifth-generation new radio (5G-NR) in Third
Ge...
Traditional urban planning demands urban experts to spend considerable t...
Feature transformation aims to extract a good representation (feature) s...
Representation (feature) space is an environment where data points are
v...
Feature selection and instance selection are two important techniques of...
Mobile user profiling refers to the efforts of extracting users'
charact...
In this paper, we focus on the problem of modeling dynamic geo-human
int...
Urban planning refers to the efforts of designing land-use configuration...
Urban planning designs land-use configurations and can benefit building
...
In this paper, we propose a single-agent Monte Carlo based reinforced fe...
Automated characterization of spatial data is a kind of critical geograp...
In this paper, we study the problem of mobile user profiling, which is a...
We study the problem of balancing effectiveness and efficiency in automa...
Feature selection aims to select a subset of features to optimize the
pe...
In this paper, we study the problem of balancing effectiveness and effic...