Sophie Pavia

According to our database, Sophie Pavia authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deploying Mobility-On-Demand for All by Optimizing Paratransit Services.

Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna, Youngseo Kim, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Ayan Mukhopadhyay, Abhishek Dubey

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SmartTransit.AI: A Dynamic Paratransit and Microtransit Application.

Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna, Youngseo Kim, Ayan Mukhopadhyay, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Abhishek Dubey

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Learning Circular Tabular Embeddings for Heterogeneous Large-scale Structured Datasets.

Michael N. Gubanov, Anna Pyayt, Sophie Pavia

Proceedings of the 25th International Workshop on Design, 2023

2022

Hybrid Metadata Classification in Large-scale Structured Datasets.

Sophie Pavia, Nickolas Piraino, Kazi Islam, Anna Pyayt, Michael N. Gubanov

J. Data Intell., 2022

Designing Equitable Transit Networks.

Sophie Pavia, Juan Carlos Martínez Mori, Aryaman Sharma, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Ayan Mukhopadhyay

CoRR, 2022

Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment.

Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings.

Michael N. Gubanov, Sophie Pavia, Anna Pyayt, William Goble

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles.

Michael N. Gubanov, Anna Pyayt, Sophie Pavia

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Towards Unveiling Dark Web Structured Data.

Montasir Shams, Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Learning Tabular Embeddings at Web Scale.

Sophie Pavia, Montasir Shams, Rituparna Khan, Anna Pyayt, Michael N. Gubanov

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021