On the public citation graph

Dual-BERT: A Joint Representation Learning Model for Bridging Demographics and Daily Activity Patterns in Sparse Mobility Data

https://doi.org/10.2139/ssrn.5741379
0 signed · 30 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.compenvurbsys.2021.101712openalex-snapshot
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions
inferredcites →https://doi.org/10.1016/j.inffus.2020.01.002openalex-snapshot
Urban flow prediction from spatiotemporal data using machine learning: A survey
inferredcites →https://doi.org/10.1016/j.neucom.2020.04.124openalex-snapshot
Deep multi-view residual attention network for crowd flows prediction
inferredcites →https://doi.org/10.1016/j.physrep.2018.01.001openalex-snapshot
Human mobility: Models and applications
inferredcites →https://doi.org/10.1016/j.trc.2025.105416openalex-snapshot
From biases to opportunities: leveraging Location-Based-Service (LBS) data for next-generation transportation planning
inferredcites →https://doi.org/10.1016/j.trd.2022.103381openalex-snapshot
Connected automated vehicle impacts in Southern California part-II: VMT, emissions, and equity
inferredcites →https://doi.org/10.1038/nature06958openalex-snapshot
Understanding individual human mobility patterns
inferredcites →https://doi.org/10.1049/itr2.12075openalex-snapshot
Trip destination prediction based on a deep integration network by fusing multiple features from taxi trajectories
inferredcites →https://doi.org/10.1080/17489725.2018.1508763openalex-snapshot
Location based services: ongoing evolution and research agenda
inferredcites →https://doi.org/10.1108/17427371211221063openalex-snapshot
A survey on predicting personal mobility
inferredcites →https://doi.org/10.1109/access.2019.2950956openalex-snapshot
ASTIR: Spatio-Temporal Data Mining for Crowd Flow Prediction
inferredcites →https://doi.org/10.1109/tits.2020.3003310openalex-snapshot
Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/tkde.2018.2807840openalex-snapshot
A Survey of Location Prediction on Twitter
inferredcites →https://doi.org/10.1109/tkde.2020.3008774openalex-snapshot
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
inferredcites →https://doi.org/10.1126/science.1177170openalex-snapshot
Limits of Predictability in Human Mobility
inferredcites →https://doi.org/10.1140/epjds/s13688-015-0046-0openalex-snapshot
A survey of results on mobile phone datasets analysis
inferredcites →https://doi.org/10.1140/epjds/s13688-019-0206-8openalex-snapshot
Complete trajectory reconstruction from sparse mobile phone data
inferredcites →https://doi.org/10.1145/2629592openalex-snapshot
Urban Computing
inferredcites →https://doi.org/10.1145/2743025openalex-snapshot
Trajectory Data Mining
inferredcites →https://doi.org/10.1145/3178876.3186058openalex-snapshot
DeepMove
inferredcites →https://doi.org/10.1145/3336191.3371837openalex-snapshot
Context-aware Deep Model for Joint Mobility and Time Prediction
inferredcites →https://doi.org/10.1145/3394486.3412862openalex-snapshot
Learning to Simulate Human Mobility
inferredcites →https://doi.org/10.1177/2043820613513121openalex-snapshot
Geography and the future of big data, big data and the future of geography
inferredcites →https://doi.org/10.1609/aaai.v34i01.5425openalex-snapshot
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
inferredcites →https://doi.org/10.26599/bdma.2018.9020010openalex-snapshot
Location prediction on trajectory data: A review
inferredcites →https://doi.org/10.3390/app11010017openalex-snapshot
Deep Wide Spatial-Temporal Based Transformer Networks Modeling for the Next Destination According to the Taxi Driver Behavior Prediction
inferredcites →https://doi.org/10.3390/ijgi8100440openalex-snapshot
Comparison of Main Approaches for Extracting Behavior Features from Crowd Flow Analysis
inferredcites →https://doi.org/10.3390/s20164571openalex-snapshot
Big Trajectory Data Mining: A Survey of Methods, Applications, and Services
inferredcites →https://doi.org/10.4324/9781003156055-39openalex-snapshot
Disaggregate Travel and Mobility-Choice Models and Measures of Accessibility
inferredcites →https://doi.org/10.6339/21-jds1004openalex-snapshot
Large Scale GPS Trajectory Generation Using Map Based on Two Stage GAN
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.