Search Results for author: John Krumm

Found 11 papers, 3 papers with code

TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model

1 code implementation7 Nov 2024 Shang-Ling Hsu, Emmanuel Tung, John Krumm, Cyrus Shahabi, Khurram Shafique

TrajGPT integrates the spatial and temporal models in a transformer architecture through a Bayesian probability model that ensures that the gaps in a visit sequence are filled in a spatiotemporally consistent manner.

Epidemiology Text Infilling

Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications

no code implementations27 Aug 2024 Maria Despoina Siampou, Jialiang Li, John Krumm, Cyrus Shahabi, Hua Lu

Encoding geospatial objects is fundamental for geospatial artificial intelligence (GeoAI) applications, which leverage machine learning (ML) models to analyze spatial information.

Spatial Reasoning

Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints

1 code implementation25 Aug 2024 Siyu Li, Toan Tran, Haowen Lin, John Krumm, Cyrus Shahabi, Li Xiong

Simulating human mobility data is essential for various application domains, including transportation, urban planning, and epidemic control, since real data are often inaccessible to researchers due to expensive costs and privacy issues.

Reliable Geofence Activation with Sparse and Sporadic Location Measurements: Extended Version

no code implementations1 Apr 2022 Kien Nguyen, John Krumm

Complicating this prediction approach is the fact that another location measurement could appear at any time, making the prediction redundant and wasteful.

Prediction

Gaussian Process for Trajectories

no code implementations7 Oct 2021 Kien Nguyen, John Krumm, Cyrus Shahabi

The Gaussian process is a powerful and flexible technique for interpolating spatiotemporal data, especially with its ability to capture complex trends and uncertainty from the input signal.

Gaussian Processes

Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces

no code implementations25 Aug 2020 Kien Nguyen, John Krumm, Cyrus Shahabi

Users concerned about privacy may want to charge more for data that pinpoints their location accurately, but may charge less for data that is more vague.

Decision Making Sequential Decision Making

SemEval-2020 Task 7: Assessing Humor in Edited News Headlines

no code implementations SEMEVAL 2020 Nabil Hossain, John Krumm, Michael Gamon, Henry Kautz

The second subtask is to predict, for a pair of edited versions of the same original headline, which is the funnier version.

"President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines

no code implementations1 Jun 2019 Nabil Hossain, John Krumm, Michael Gamon

We introduce, release, and analyze a new dataset, called Humicroedit, for research in computational humor.

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