:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Xu, Yiming, Zhao, Xilei, Zhang, Xiaojian, Paliwal, Mudit
Formato:	Preprint
Publicado:	2021
Materias:	Computers and Society
Acceso en línea:	https://arxiv.org/abs/2111.01355
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System
por: Roantree, Mark, et al.
Publicado: (2024)

Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian
por: Liu, Luyu, et al.
Publicado: (2024)

Skill Demand Forecasting Using Temporal Knowledge Graph Embeddings
por: Fettach, Yousra, et al.
Publicado: (2025)

Spatio-Temporal Graph Convolutional Network Combined Large Language Model: A Deep Learning Framework for Bike Demand Forecasting
por: Li, Peisen, et al.
Publicado: (2024)

A Framework for Spatio-Temporal Graph Analytics In Field Sports
por: Antonini, Valerio, et al.
Publicado: (2024)

ScooterLab: A Programmable and Participatory Sensing Research Testbed using Micromobility Vehicles
por: Khan, Ubaidullah, et al.
Publicado: (2025)

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
por: Chen, Ruxiao, et al.
Publicado: (2025)

Understanding Demand for Shared Autonomous Micro-Mobility
por: Sanchez, Naroa Coretti, et al.
Publicado: (2025)

UrbanGPT: Spatio-Temporal Large Language Models
por: Li, Zhonghang, et al.
Publicado: (2024)

Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume
por: Kaiser, Silke K., et al.
Publicado: (2025)

Impact of Shared E-scooter Introduction on Public Transport Demand: A Case Study in Santiago, Chile
por: Opitz, Daniela, et al.
Publicado: (2024)

Quantifying the Improvement of Accessibility achieved via Shared Mobility on Demand
por: Diepolder, Severin, et al.
Publicado: (2025)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
por: Li, Zhonghang, et al.
Publicado: (2024)

AI Awareness
por: Li, Xiaojian, et al.
Publicado: (2025)

Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning
por: Zhang, Xiaojian, et al.
Publicado: (2022)

Explainable Graph Neural Networks for Optimized Allocation in Spatio‐Temporal Bike Sharing Demand Prediction
por: Anand Polamarasetti
Publicado: (2025)

Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents
por: Xu, Rongwu, et al.
Publicado: (2025)

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation
por: Lei, Songxin, et al.
Publicado: (2025)

A Survey on Differential Privacy for SpatioTemporal Data in Transportation Research
por: Bhadani, Rahul
Publicado: (2024)

CARDIO-Affect: A Hamiltonian-Variability Framework for Spatio-Temporal Emotional Pattern Recognition with Manifold-Based Individual and Group Profiling
por: Sun, Xiao
Publicado: (2025)

Performance Evaluation of Real-Time Object Detection for Electric Scooters
por: Chen, Dong, et al.
Publicado: (2024)

Transformations in the Time of The Transformer
por: Faratin, Peyman, et al.
Publicado: (2023)

MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
por: Qiu, Mingjie, et al.
Publicado: (2023)

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
por: Ramachandran, Adithya, et al.
Publicado: (2025)

News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand
por: Bai, Yun, et al.
Publicado: (2023)

Synthesizing Attitudes, Predicting Actions (SAPA): Behavioral Theory-Guided LLMs for Ridesourcing Mode Choice Modeling
por: Sameen, Mustafa, et al.
Publicado: (2025)

Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach
por: Xue, Zhuoqun, et al.
Publicado: (2024)

Design and Validation of a Grid-based Home Detection via Stay-Time (GHOST) Software for Mobile Location Data
por: Recalde, Alessandra, et al.
Publicado: (2026)

On-Demand Sampling: Learning Optimally from Multiple Distributions
por: Haghtalab, Nika, et al.
Publicado: (2022)

FairGT: A Fairness-aware Graph Transformer
por: Luo, Renqiang, et al.
Publicado: (2024)

Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education
por: Ito, Hibiki, et al.
Publicado: (2026)

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
por: Yu, Shaohan, et al.
Publicado: (2024)

Structural Pass Analysis in Football: Learning Pass Archetypes and Tactical Impact from Spatio-Temporal Tracking Data
por: Karakuş, Oktay, et al.
Publicado: (2026)

A Graph-Based Model for Vehicle-Centric Data Sharing Ecosystem
por: Yuan, Haiyue, et al.
Publicado: (2024)

Inferring Prerequisite Knowledge Concepts in Educational Knowledge Graphs: A Multi-criteria Approach
por: Alatrash, Rawaa, et al.
Publicado: (2025)

STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
por: Wang, Yulong, et al.
Publicado: (2025)

Video-Language Alignment via Spatio-Temporal Graph Transformer
por: Zhang, Shi-Xue, et al.
Publicado: (2024)

Building a Village: A Multi-stakeholder Approach to Open Innovation and Shared Governance to Promote Youth Online Safety
por: Caddle, Xavier V., et al.
Publicado: (2025)

61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?)
por: Zamfirescu-Pereira, J. D., et al.
Publicado: (2024)

A Graph Theoretic Approach to Analyze the Developing Metaverse
por: Dash, Anirudh
Publicado: (2024)