CRII: III: Towards Traceable, Affordable and Explainable Automated Feature Generation for — NSF Award to Clemson University (SC, $
Features are used to describe the characteristics of objects. For example, "age", "smoking or not", and "years of smoking" are features of a patient, which can be used to describe the patient's physical condition, and furthermore, to predict if she or he is likely to get lung cancer. A combination of features could be
| Award title | CRII: III: Towards Traceable, Affordable and Explainable Automated Feature Generation for |
|---|---|
| Award ID | 2550105 |
| Awardee | Clemson University |
| City | CLEMSON |
| State | SC |
| Amount obligated | $110,820 |
| Principal investigator | Kunpeng Liu |
| Program | Info Integration & Informatics |
| Start date | 09/01/2025 |
| Abstract | Features are used to describe the characteristics of objects. For example, "age", "smoking or not", and "years of smoking" are features of a patient, which can be used to describe the patient's physical condition, and furthermore, to predict if she or he is likely to get lung cancer. A combination of features could be more helpful to the prediction, e.g., "age" minus "years of smoking" can be a new feature to indicate how early the patient starts smoking. This kind of feature combination is call |
| Source | NSF Awards |
$799/mo
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