45 citations · 73 across the 12 of their papers we have counts for
13 papers
The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps
Jina Kim, Zekun Li, Yijun Lin +3
Scanned historical maps in libraries and archives are valuable repositories of geographic data that often do not exist elsewhere. Despite the potential of machine learning tools li…
Quantile Extreme Gradient Boosting for Uncertainty Quantification
Xiaozhe Yin, Masoud Fallah-Shorshani, Rob McConnell +3
As the availability, size and complexity of data have increased in recent years, machine learning (ML) techniques have become popular for modeling. Predictions resulting from apply…
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
Zekun Li, Jina Kim, Yao-Yi Chiang +1
Named geographic entities (geo-entities for short) are the building blocks of many geographic datasets. Characterizing geo-entities is integral to various application domains, such…
Towards the automated large-scale reconstruction of past road networks from historical maps
Johannes H. Uhl, Stefan Leyk, Yao-Yi Chiang +1
Transportation infrastructure, such as road or railroad networks, represent a fundamental component of our civilization. For sustainable planning and informed decision making, a th…
Synthetic Map Generation to Provide Unlimited Training Data for Historical Map Text Detection
Zekun Li, Runyu Guan, Qianmu Yu +2
Many historical map sheets are publicly available for studies that require long-term historical geographic data. The cartographic design of these maps includes a combination of map…
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk +2
Thousands of scanned historical topographic maps contain valuable information covering long periods of time, such as how the hydrography of a region has changed over time. Efficien…
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images
Weiwei Duan, Yao-Yi Chiang, Stefan Leyk +2
The increasing availability and accessibility of numerous overhead images allows us to estimate and assess the spatial arrangement of groups of geospatial target objects, which can…
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction
Yijun Lin, Yao-Yi Chiang, Meredith Franklin +2
Many scientific prediction problems have spatiotemporal data- and modeling-related challenges in handling complex variations in space and time using only sparse and unevenly distri…
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
Zekun Li, Yao-Yi Chiang, Sasan Tavakkol +4
Historical maps contain detailed geographic information difficult to find elsewhere covering long-periods of time (e.g., 125 years for the historical topographic maps in the US). H…
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data
Yijun Lin, Yao-Yi Chiang
Large network logs, recording multivariate time series generated from heterogeneous devices and sensors in a network, can often reveal important information about abnormal activiti…
Kartta Labs: Collaborative Time Travel
Sasan Tavakkol, Feng Han, Brandon Mayer +4
We introduce the modular and scalable design of Kartta Labs, an open source, open data, and scalable system for virtually reconstructing cities from historical maps and photos. Kar…
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
Mingxuan Yue, Yaguang Li, Haoze Yang +3
Identifying mobility behaviors in rich trajectory data is of great economic and social interest to various applications including urban planning, marketing and intelligence. Existi…
Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper)
Kien Nguyen, Jingyun Yang, Yijun Lin +3
With the widespread installation of location-enabled devices on public transportation, public vehicles are generating massive amounts of trajectory data in real time. However, usin…