research
∙
06/29/2023
The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps
Scanned historical maps in libraries and archives are valuable repositor...
share
research
∙
06/28/2023
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting
Forecasting the number of visits to Points-of-Interest (POI) in an urban...
research
∙
04/23/2023
Quantile Extreme Gradient Boosting for Uncertainty Quantification
As the availability, size and complexity of data have increased in recen...
research
∙
01/20/2023
Clustering Human Mobility with Multiple Spaces
Human mobility clustering is an important problem for understanding huma...
research
∙
10/21/2022
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
Named geographic entities (geo-entities for short) are the building bloc...
research
∙
02/10/2022
Towards the automated large-scale reconstruction of past road networks from historical maps
Transportation infrastructure, such as road or railroad networks, repres...
research
∙
12/12/2021
Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection
Many historical map sheets are publicly available for studies that requi...
research
∙
12/10/2021
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition
Thousands of scanned historical topographic maps contain valuable inform...
research
∙
12/10/2021
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images
The increasing availability and accessibility of numerous overhead image...
research
∙
12/10/2021
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction
Many scientific prediction problems have spatiotemporal data- and modeli...
research
∙
12/03/2021
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
Historical maps contain detailed geographic information difficult to fin...
research
∙
10/14/2021
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data
Large network logs, recording multivariate time series generated from he...
research
∙
10/07/2020
Kartta Labs: Collaborative Time Travel
We introduce the modular and scalable design of Kartta Labs, an open sou...
research
∙
03/03/2020
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
Identifying mobility behaviors in rich trajectory data is of great econo...
research
∙
09/03/2019
