Daniel Smolyak

According to our database, Daniel Smolyak authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

A data-driven optimization approach to baseball roster management.

Sean L. Barnes, Margrét V. Bjarnadóttir, Daniel Smolyak, Aurélie Thiele

Ann. Oper. Res., April, 2024

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

Saad Mohammad Abrar, Naman Awasthi, Daniel Smolyak, Vanessa Frías-Martínez

CoRR, 2024

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

Saad Mohammad Abrar, Naman Awasthi, Daniel Smolyak, Vanessa Frías-Martínez

CoRR, 2024

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

Daniel Smolyak, Saad Mohammad Abrar, Naman Awasthi, Vanessa Frías-Martínez

CoRR, 2024

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

Naman Awasthi, Saad Mohammad Abrar, Daniel Smolyak, Vanessa Frías-Martínez

CoRR, 2024

2020

Coupled IGMM-GANs with Applications to Anomaly Detection in Human Mobility Data.

Daniel Smolyak, Kathryn Gray, Sarkhan Badirli, George O. Mohler

ACM Trans. Spatial Algorithms Syst., 2020

2018

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

Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George O. Mohler

CoRR, 2018

A Muffin-Theorem Generator.

Guangqi Cui, John P. Dickerson, Naveen Durvasula, William Gasarch, Erik Metz, Jacob Prinz, Naveen Raman, Daniel Smolyak, Sung Hyun Yoo

Proceedings of the 9th International Conference on Fun with Algorithms, 2018

TandemTrack: Promoting Consistent Exercise Leveraging Multimodal Training and Tracking.

Daniel Smolyak, Bongshin Lee, Eun Kyoung Choe

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.

Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George O. Mohler

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018