Daniel Smolyak

Orcid: 0000-0003-3860-2181

According to our database1, Daniel Smolyak authored at least 13 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
From "I have nothing to hide" to "It looks like stalking": Measuring Americans' Level of Comfort with Individual Mobility Features Extracted from Location Data.
CoRR, February, 2025

2024
A data-driven optimization approach to baseball roster management.
Ann. Oper. Res., April, 2024

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study.
CoRR, 2024

Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models.
CoRR, 2024

Auditing the Fairness of COVID-19 Forecast Hub Case Prediction Models.
CoRR, 2024

Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models.
CoRR, 2024

DemOpts: Fairness corrections in COVID-19 case prediction models.
CoRR, 2024

2023
Analysis of Performance Improvements and Bias Associated with the Use of Human Mobility Data in COVID-19 Case Prediction Models.
ACM J. Comput. Sustain. Soc., 2023

2020
Coupled IGMM-GANs with Applications to Anomaly Detection in Human Mobility Data.
ACM Trans. Spatial Algorithms Syst., 2020

2018
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data.
CoRR, 2018

A Muffin-Theorem Generator.
Proceedings of the 9th International Conference on Fun with Algorithms, 2018

TandemTrack: Promoting Consistent Exercise Leveraging Multimodal Training and Tracking.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Coupled IGMM-GANs for improved generative adversarial anomaly detection.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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