8 citations · 13 across the 6 of their papers we have counts for
6 papers
Intelligent Multimodal Retrieval and Reasoning for Geospatial Knowledge Discovery on the I-GUIDE Platform
Yunfan Kang, Erick Li, Furqan Baig +4
Geospatial knowledge discovery increasingly requires search across heterogeneous artifacts: datasets, maps, notebooks, software, publications, and the provenance links among them.…
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…
MovePattern: Interactive Framework to Provide Scalable Visualization of Movement Patterns
Kiumars Soltani, Anand Padmanabhan, Shaowen Wang
The rapid growth of movement data sources such as GPS traces, traffic networks and social media have provided analysts with the opportunity to explore collective patterns of geogra…
Consistency of Social Sensing Signatures Across Major US Cities
Aiman Soliman, Kiumars Soltani, Anand Padmanabhan +1
Previous studies have shown that Twitter users have biases to tweet from certain locations, locational bias, and during certain hours, temporal bias. We used three years of geoloca…
Where Chicagoans tweet the most: Semantic analysis of preferential return locations of Twitter users
Aiman Soliman, Junjun Yin, Kiumars Soltani +2
Recent studies on human mobility show that human movements are not random and tend to be clustered. In this connection, the movements of Twitter users captured by geo-located tweet…
A Scalable Framework for Spatiotemporal Analysis of Location-based Social Media Data
Guofeng Cao, Shaowen Wang, Myunghwa Hwang +3
In the past several years, social media (e.g., Twitter and Facebook) has been experiencing a spectacular rise and popularity, and becoming a ubiquitous discourse for content sharin…