Daniel Smolyak

15 papers Misc 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
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
Naman Awasthi, Saad Mohammad Abrar, Daniel Smolyak, Vanessa Frías-Martínez
2025 — conf
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains.
EMNLP (System Demonstrations)
Krithika Ramesh, Daniel Smolyak, Zihao Zhao, Nupoor Gandhi, Ritu Agarwal, Margrét V. Bjarnadóttir, Anjalie Field
2025 J jnl
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains.
CoRR
Krithika Ramesh, Daniel Smolyak, Zihao Zhao, Nupoor Gandhi, Ritu Agarwal, Margrét V. Bjarnadóttir, Anjalie Field
2024 J jnl
A data-driven optimization approach to baseball roster management.
Ann. Oper. Res.
Sean L. Barnes, Margrét V. Bjarnadóttir, Daniel Smolyak, Aurélie Thiele
2024 J jnl
Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models.
CoRR
Daniel Smolyak, Saad Mohammad Abrar, Naman Awasthi, Vanessa Frías-Martínez
2024 J jnl
Auditing the Fairness of COVID-19 Forecast Hub Case Prediction Models.
CoRR
Saad Mohammad Abrar, Naman Awasthi, Daniel Smolyak, Vanessa Frías-Martínez
2024 J jnl
DemOpts: Fairness corrections in COVID-19 case prediction models.
CoRR
Naman Awasthi, Saad Mohammad Abrar, Daniel Smolyak, Vanessa Frías-Martínez
2024 J jnl
Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study.
CoRR
Daniel Smolyak, Arshana Welivita, Margrét V. Bjarnadóttir, Ritu Agarwal
2024 J jnl
Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models.
CoRR
Saad Mohammad Abrar, Naman Awasthi, Daniel Smolyak, Vanessa Frías-Martínez
2023 J jnl
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.
Saad Mohammad Abrar, Naman Awasthi, Daniel Smolyak, Vanessa Frías-Martínez
2020 J jnl
Coupled IGMM-GANs with Applications to Anomaly Detection in Human Mobility Data.
ACM Trans. Spatial Algorithms Syst.
Daniel Smolyak, Kathryn Gray, Sarkhan Badirli, George O. Mohler
2018 Misc conf
A Muffin-Theorem Generator.
FUN
Guangqi Cui, John P. Dickerson, Naveen Durvasula, William Gasarch, Erik Metz, Jacob Prinz, Naveen Raman, Daniel Smolyak, Sung Hyun Yoo
2018 J jnl
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data.
CoRR
Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George O. Mohler
2018 — conf
Coupled IGMM-GANs for improved generative adversarial anomaly detection.
IEEE BigData
Kathryn Gray, Daniel Smolyak, Sarkhan Badirli, George O. Mohler
2018 — conf
TandemTrack: Promoting Consistent Exercise Leveraging Multimodal Training and Tracking.
CHI Extended Abstracts
Daniel Smolyak, Bongshin Lee, Eun Kyoung Choe