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Transfer Learning for Improving Model Predictions in Highly Configurable Software.

, , , , and . SEAMS@ICSE, page 31-41. IEEE Computer Society, (2017)

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On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support., , , , and . ICSE, page 1571-1583. ACM, (2022)Debugging the Performance of Configurable Software Systems: A Human-Centered White-box Approach.. Carnegie Mellon University, USA, (2022)White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems., , , , and . ICSE, page 1072-1084. IEEE, (2021)ConfigCrusher: White-Box Performance Analysis for Configurable Systems., , , , , and . CoRR, (2019)Improving Bitmap Execution Performance Using Column-Based Metadata., , , and . FiCloud, page 371-378. IEEE Computer Society, (2016)Evaluation of Hyperspectral Unmixing Methods: A Comparative Study for Very-High Spatial Resolution Hyperspectral Images., and . SSIAI, page 53-56. IEEE, (2024)Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery., and . ICIP, page 26-30. IEEE, (2020)Unmixing Analysis of Close-Range Hyperspectral Images., and . IGARSS, page 7543-7546. IEEE, (2023)Regional vs. Global Superpixel-Based Unmixing of Hyperspectral Imagery., and . WHISPERS, page 1-5. IEEE, (2018)Speeding up the MATLAB™ Hyperspectral Image Analysis Toolbox using GPUs and the Jacket Toolbox., and . WHISPERS, page 1-4. IEEE, (2009)