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Richard A. Caruana

A study of control parameters affecting online performance of genetic algorithms for function optimization
1989 · J. David Schaffer, Richard A. Caruana, et al. · international conference on Genetic algorithms · 886
Biases in the crossover landscape
1989 · Larry J. Eshelman, Richard A. Caruana, et al. · international conference on Genetic algorithms · 346
The Emerging Science of Very Early Detection of Disease Outbreaks
2001 · Michael M. Wagner, Fu-Chiang Tsui, et al. · Journal of Public Health Management and Practice · 228
An evaluation of machine-learning methods for predicting pneumonia mortality
1997 · Gregory F. Cooper, Constantin F. Aliferis, et al. · Artificial Intelligence in Medicine · 211
Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms
1988 · Richard A. Caruana, J. David Schaffer · Elsevier eBooks · 203
Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales
2002 · Anna Goldenberg, Galit Shmueli, et al. · Proceedings of the National Academy of Sciences · 165
Fast algorithm for the resolution of spectra
1986 · Richard A. Caruana, Roger B. Searle, et al. · Analytical Chemistry · 90
Using genetic search to exploit the emergent behavior of neural networks
1990 · J.David Schaffer, Richard A. Caruana, et al. · Physica D Nonlinear Phenomena · 89
Predicting dire outcomes of patients with community acquired pneumonia
2005 · Gregory F. Cooper, Vijoy Abraham, et al. · Journal of Biomedical Informatics · 65
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Interpretable Machine Learning for Choosing Radiation Dose-volume Constraints on Cardio-pulmonary Substructures Associated with Overall Survival in NRG Oncology RTOG 0617
2023 · Sang Ho Lee, Huaizhi Geng, et al. · International Journal of Radiation Oncology*Biology*Physics · 15
Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma
2022 · Du Wang, Sang Ho Lee, et al. · Frontiers in Artificial Intelligence · 12
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Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms
1989 · Richard A. Caruana, J. David Schaffer, et al. · Elsevier eBooks · 12
Additional capabilities of a fast algorithm for the resolution of spectra
1988 · Richard A. Caruana, Roger B. Searle, et al. · Analytical Chemistry · 7
Friends Don't Let Friends Deploy Black-Box Models
2019 · Richard Caruana · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 6
Using genetic search to exploit the emergent behavior of neural networks
1991 · J. David Schaffer, Richard A. Caruana, et al. · 6
Circulating Tumor Cell Assay Enables Prediction of Recurrence Following Stereotactic Body Radiotherapy for Early-Stage Non-Small Cell Lung Cancer: An Interpretable Machine Learning Study
2021 · Z. Zhang, S.H. Lee, et al. · International Journal of Radiation Oncology*Biology*Physics · 1
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Advancing Experiential Learning Through Generative Ai-powered Virtual Reality
2025 · Gabriel Borg, Keith Azzopardi, et al. · ICERI proceedings
Multitask Double Machine Learning for Counterfactual Estimation of Survival and Toxicity in Locally Advanced Non-Small Cell Lung Cancer Chemoradiotherapy
2025 · S.H. Lee, N. Yegya-Raman, et al. · International Journal of Radiation Oncology*Biology*Physics
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Interpretable Machine Learning for Predicting Symptomatic Pneumonitis in Locally Advanced Non-Small Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy and Immune Checkpoint Inhibitor Consolidation
2023 · L. Duan, S.H. Lee, et al. · International Journal of Radiation Oncology*Biology*Physics
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Multitask AI Models for the Joint Prediction of Overall Survival, Progression-Free Survival, and Death without Progression as a Composite Endpoint for LA-NSCLC Patients Treated with Chemoradiotherapy
2023 · S.H. Lee, N. Yegya-Raman, et al. · International Journal of Radiation Oncology*Biology*Physics
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Getting the most of our your data: multitask bayesian network structure learning, predicting good probabilities and ensemble selection
2008 · Richard A. Caruana, Alexandru Niculescu-Mizil
Modeling additive structure and detecting interactions with groves of trees
2008 · Richard A. Caruana, Daria Sorokina · eCommons (Cornell University)
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Book Review: A Programmer's Guide to COMMON LISP by Deborah G. Tatar, Digital Press, 1987
1987 · Richard A. Caruana · ACM SIGPLAN Notices
Works count: 23
Citation count: 2,342
H-index: 12
I10-index: 12
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