Nicole R. Schneider

Orcid: 0000-0002-9528-6077

According to our database1, Nicole R. Schneider authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Evaluating the Impact of Shape and Metric Selection on Human Perception in Geospatial Data Visualizations.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, 2024

The Future of Graph-based Spatial Pattern Matching (Vision Paper).
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

Graph-based Spatial Pattern Matching: A Theoretical Comparison.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Metric Reasoning in Large Language Models.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Safety-Aware Route Navigation: Driving with Less Sun Glare.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Cross-Lingual Clustering Using Large Language Models.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2024

2023
Cross-lingual Text Clustering in a Large System.
Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023

BroadcastSTAND: Clustering Multimedia Sources of News.
Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, 2023

COMPASS: Cardinal Orientation Manipulation and Pattern-Aware Spatial Search.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023

GESTALT: Geospatially Enhanced Search with Terrain Augmented Location Targeting.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023

2022
Using dynamic circles and squares to visualize spatio-temporal variation.
CoRR, 2022

2021
Which portland is it?: a machine learning approach.
Proceedings of the LocalRec '21: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2021


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