On the public citation graph
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer
0 signed · 53 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119197683openalex-snapshot
Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy
inferredcites →https://doi.org/10.1007/978-3-319-49944-4_17openalex-snapshot
Measuring the Success of Changes to Existing Business Intelligence Solutions to Improve Business Intelligence Reporting
inferredcites →https://doi.org/10.1103/physreve.74.035101openalex-snapshot
Network-based predictions of retail store commercial categories and optimal locations
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00484openalex-snapshot
Attentional ShapeContextNet for Point Cloud Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00157openalex-snapshot
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00244openalex-snapshot
Semantic Image Synthesis With Spatially-Adaptive Normalization
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot
A Style-Based Generator Architecture for Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/jiot.2019.2916143openalex-snapshot
DeepStore: An Interaction-Aware Wide&Deep Model for Store Site Recommendation With Attentional Spatial Embeddings
inferredcites →https://doi.org/10.1109/jproc.2017.2761740openalex-snapshot
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
inferredcites →https://doi.org/10.1109/mwc.2019.1800030openalex-snapshot
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions
inferredcites →https://doi.org/10.1109/tmc.2014.2385097openalex-snapshot
FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing
inferredcites →https://doi.org/10.1145/1401890.1401928openalex-snapshot
Knowledge transfer via multiple model local structure mapping
inferredcites →https://doi.org/10.1145/2968219.2971405openalex-snapshot
Where to place the next outlet? harnessing cross-space urban data for multi-scale chain store recommendation
inferredcites →https://doi.org/10.1145/2983323.2983696openalex-snapshot
Where to Place Your Next Restaurant?
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/2996913.2996996openalex-snapshot
Demand driven store site selection via multiple spatial-temporal data
inferredcites →https://doi.org/10.1145/3200765openalex-snapshot
Visual Analytics of Heterogeneous Data Using Hypergraph Learning
inferredcites →https://doi.org/10.1145/3219819.3219920openalex-snapshot
Where Will Dockless Shared Bikes be Stacked?
inferredcites →https://doi.org/10.1145/3293317openalex-snapshot
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data
inferredcites →https://doi.org/10.1145/3308558.3313577openalex-snapshot
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
inferredcites →https://doi.org/10.1145/3321408.3322834openalex-snapshot
Mining heterogeneous urban data for retail store placement
inferredcites →https://doi.org/10.1145/3360309openalex-snapshot
Transfer Learning with Dynamic Distribution Adaptation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-97774-0_22openalex-snapshot
AreaTransfer: A Cross-City Crowd Flow Prediction Framework Based on Transfer Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_35openalex-snapshot
Transportation-Mode Aware Travel Time Estimation via Meta-learning
inferred← citeshttps://doi.org/10.1007/978-3-031-33383-5_6openalex-snapshot
MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks
inferred← citeshttps://doi.org/10.1007/978-981-95-5585-7_12openalex-snapshot
Human Centered Perceptual Computing
inferred← citeshttps://doi.org/10.1007/s10462-023-10684-0openalex-snapshot
Machine learning methods for service placement: a systematic review
inferred← citeshttps://doi.org/10.1007/s42524-026-5157-8openalex-snapshot
Cross-city transfer learning for optimal e-scooter parking station deployment: Evidence from 25 European cities
inferred← citeshttps://doi.org/10.1016/j.commtr.2025.100206openalex-snapshot
Cross-city transfer learning: Applications and challenges for smart cities and sustainable transportation
inferred← citeshttps://doi.org/10.1016/j.compag.2026.111443openalex-snapshot
Intelligent management of crop diseases and pests in multiscale and multimodal complex scenarios: Technologies, applications, and prospects
inferred← citeshttps://doi.org/10.1016/j.patter.2021.100253openalex-snapshot
Toward audience-aware argument generation
inferred← citeshttps://doi.org/10.1109/comst.2024.3423319openalex-snapshot
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
inferred← citeshttps://doi.org/10.1109/jiot.2022.3165523openalex-snapshot
CrowdIM: Crowd-Inspired Intelligent Manufacturing Space Design
inferred← citeshttps://doi.org/10.1109/jiot.2022.3194726openalex-snapshot
CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT
inferred← citeshttps://doi.org/10.1109/nigercon62786.2024.10927251openalex-snapshot
Comparative Sentiment Analysis of Cryptocurrency Apps Using BERT, RoBERTa, and ChatGPT
inferred← citeshttps://doi.org/10.1109/tcss.2022.3204635openalex-snapshot
A Survey of Crowdsensing and Privacy Protection in Digital City
inferred← citeshttps://doi.org/10.1142/s0218001423500143openalex-snapshot
An Adaptive Fusion Risk-Zone Detection Network and its Application
inferred← citeshttps://doi.org/10.1145/3534678.3539139openalex-snapshot
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning
inferred← citeshttps://doi.org/10.1145/3663482openalex-snapshot
Addressing Data Challenges to Drive the Transformation of Smart Cities
inferred← citeshttps://doi.org/10.1145/3672615openalex-snapshot
A Survey on Knowledge Graph Related Research in Smart City Domain
inferred← citeshttps://doi.org/10.1145/3748636.3762710openalex-snapshot
One Model, Many Cities: A Transferable Social Relationship Inference Framework for Human Mobility Data
inferred← citeshttps://doi.org/10.1145/3770855.3818124openalex-snapshot
FedTT: A Federated Spatio-Temporal Learning Framework for Cross-City Traffic Knowledge Transfer
inferred← citeshttps://doi.org/10.14778/3705829.3705844openalex-snapshot
TEAM: Topological Evolution-Aware Framework for Traffic Forecasting
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.