Thomas Falconer

According to our database, Thomas Falconer authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

A lossless one-shot distributed algorithm for addressing heterogeneity in multi-site generalized linear models.

Bingyu Zhang, Qiong Wu, Jenna Marie Reps, Lu Li, Jiayi Tong, Yiwen Lu, Dazheng Zhang, Juan Manuel Ramírez-Anguita, Jiang Bian, Milou T. Brand, Thomas Falconer, Miguel A. Mayer, Ross D. Williams, Yong Chen

J. Am. Medical Informatics Assoc., 2026

2025

Selling Information in Games with Externalities.

Thomas Falconer, Anubhav Ratha, Jalal Kazempour, Pierre Pinson, Maryam Kamgarpour

CoRR, May, 2025

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data.

Qiong Wu, Jenna Marie Reps, Lu Li, Bingyu Zhang, Yiwen Lu, Jiayi Tong, Dazheng Zhang, Thomas Lumley, Milou T. Brand, Mui Van Zandt, Thomas Falconer, Xing He, Yu Huang, Haoyang Li, Chao Yan, Guojun Tang, Andrew E. Williams, Fei Wang, Jiang Bian, Bradley A. Malin, George Hripcsak, Martijn J. Schuemie, Yun Lu, Steve Drew, Jiayu Zhou, David A. Asch, Yong Chen

npj Digit. Medicine, 2025

Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm.

Jiayi Tong, Jenna Marie Reps, Chongliang Luo, Yiwen Lu, Lu Li, Juan Manuel Ramírez-Anguita, Milou T. Brand, Scott L. DuVall, Thomas Falconer, Alex Mayer Fuentes, Xing He, Michael E. Matheny, Miguel A. Mayer, Bhavnisha K. Patel, Katherine Simon, Marc A. Suchard, Guojun Tang, Benjamin Viernes, Ross D. Williams, Mui Van Zandt, Fei Wang, Jiang Bian, Jiayu Zhou, David A. Asch, Yong Chen

npj Digit. Medicine, 2025

2024

Bayesian Regression Markets.

Thomas Falconer, Jalal Kazempour, Pierre Pinson

J. Mach. Learn. Res., 2024

Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network.

Behzad Naderalvojoud, Catherine M. Curtin, Chen Yanover, Tal El-Hay, Byungjin Choi, Rae Woong Park, Javier Gracia-Tabuenca, Mary Pat Reeve, Thomas Falconer, Keith Humphreys, Steven M. Asch, Tina Hernandez-Boussard

J. Am. Medical Informatics Assoc., 2024

Markov modeling for cost-effectiveness using federated health data network.

Markus Haug, Marek Oja, Maarja Pajusalu, Kerli Mooses, Sulev Reisberg, Jaak Vilo, Antonio Fernández Giménez, Thomas Falconer, Ana Danilovic, Filip Maljkovic, Dalia Dawoud, Raivo Kolde

J. Am. Medical Informatics Assoc., 2024

2023

Incentivizing Data Sharing for Energy Forecasting: Analytics Markets with Correlated Data.

Thomas Falconer, Jalal Kazempour, Pierre Pinson

CoRR, 2023

2021

Leveraging power grid topology in machine learning assisted optimal power flow.

Thomas Falconer, Letif Mones

CoRR, 2021

2020

Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network.

Mehr Kashyap, Martin G. Seneviratne, Juan M. Banda, Thomas Falconer, Borim Ryu, Sooyoung Yoo, George Hripcsak, Nigam H. Shah

J. Am. Medical Informatics Assoc., 2020

Deep learning architectures for inference of AC-OPF solutions.

Thomas Falconer, Letif Mones

CoRR, 2020

2018

Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network.

Ruijun Chen, Patrick B. Ryan, Karthik Natarajan, Thomas Falconer, Christian G. Reich, Rohit Vashisht, Nigam Shah, George Hripcsak

Proceedings of the AMIA 2018, 2018