Michael G. Kapteyn

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Driven Learning

Top Venues

Frontiers Artif. Intell.

Nat. Comput. Sci.

Publications

Anirban Chaudhuri, Graham Pash, David A. Hormuth II, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas. CoRR (2023)
Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers Artif. Intell. 6 (2023)
Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
A probabilistic graphical model foundation for enabling predictive digital twins at scale. Nat. Comput. Sci. 1 (5) (2021)
Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale. CoRR (2020)
Michael G. Kapteyn, Karen E. Willcox
Predictive Digital Twins: Where Dynamic Data-Driven Learning Meets Physics-Based Modeling. DDDAS (2020)
Michael G. Kapteyn, Karen E. Willcox
From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning. CoRR (2020)
Stefanie J. Salinger, Michael G. Kapteyn, Cory Kays, Jacob V. R. Pretorius, Karen E. Willcox
A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twins. DDDAS (2020)