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Item hits:
| Date | Title | Author(s) | | 1-Sep-2012 | Predicting mutation score using source code and test suite metrics | Jalbert, Kevin |
| 1-Apr-2016 | Machine learning classifiers for critical cardiac conditions | Gilani, Mehrin |
| 1-Oct-2016 | Understanding and predicting method-level source code changes using commit history data | Heron, Joseph |
| 1-Oct-2016 | Machine learning classification techniques for non-intrusive load monitoring | Chung, Jefferson |
| 1-Aug-2017 | Characterizing water-metal interfaces and machine learning potential energy surfaces | Ryczko, Kevin |
| 1-Oct-2016 | Predicting Bitcoin: a robust model for predicting Bitcoin price directions based on network influencers | Gillett, Jonathan |
| 1-Apr-2018 | Achieving real-time video summarization on commodity hardware | Taylor, Wesley |
| 1-Aug-2018 | Characterizing the potential energy surface of two dimensional and bulk materials using high dimensional neural network potentials | Maharaj, Amber |
| 1-Aug-2019 | Proposing an ensemble-based model using data clustering and machine learning algorithms for effective predictions | Azimlu Shanajani, Fateme |
| 1-Aug-2019 | Perpetually playing physics | Beeler, Chris |
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