Janusz Wojtusiak, Ph.D.
Affiliations: | 2007 | George Mason University, Washington, DC |
Area:
Artificial Intelligence, Computer ScienceGoogle:
"Janusz Wojtusiak"Parents
Sign in to add mentor| James E. Gentle | grad student | 2007 | George Mason | |
| (Handling constrained optimization problems and using constructive induction to improve representation spaces in learnable evolution model.) | ||||
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Publications
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| Wojtusiak J, Elashkar E, Mogharab Nia R. (2018) C-LACE2: computational risk assessment tool for 30-day post hospital discharge mortality Health and Technology. 8: 341-351 |
| Min H, Mobahi H, Irvin K, et al. (2017) Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology. Journal of Biomedical Semantics. 8: 39 |
| ElRafey A, Wojtusiak J. (2017) Recent advances in scaling-down sampling methods in machine learning Wiley Interdisciplinary Reviews: Computational Statistics. 9: e1414 |
| Min H, Mobahi H, Vukomanovic S, et al. (2016) Applying an ontology-guided machine learning methodology to SEER-MHOS dataset F1000research. 5 |
| Min H, Mobahi H, Vukomanovic S, et al. (2016) Ontology applications in machine learning F1000research. 5 |
| Ngufor C, Wojtusiak J. (2016) Extreme logistic regression Advances in Data Analysis and Classification. 10: 27-52 |
| Ngufor C, Wojtusiak J. (2014) Learning from Large Distributed Data: A Scaling Down Sampling Scheme for Efficient Data Processing International Journal of Machine Learning and Computing. 4: 216-224 |
| Wojtusiak J. (2014) Rule learning in healthcare and health services research Intelligent Systems Reference Library. 56: 131-145 |
| Ngufor C, Wojtusiak J, Hooker A, et al. (2014) Extreme logistic regression: A large scale learning algorithm with application to prostate cancer mortality prediction Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference, Flairs 2014. 278-283 |
| Yashar DA, Wojtusiak J, Kaufman K, et al. (2012) A dual-mode evolutionary algorithm for designing optimized refrigerant circuitries for finned-tube heat exchangers Hvac and R Research. 18: 834-844 |