Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva. Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping. IEEE Trans. on CAD of Integrated Circuits and Systems, 41(6):1636-1648, 2022. [doi]
@article{ParisiBBA22,
title = {Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping},
author = {Emanuele Parisi and Francesco Barchi and Andrea Bartolini and Andrea Acquaviva},
year = {2022},
doi = {10.1109/TCAD.2021.3114617},
url = {https://doi.org/10.1109/TCAD.2021.3114617},
researchr = {https://researchr.org/publication/ParisiBBA22},
cites = {0},
citedby = {0},
journal = {IEEE Trans. on CAD of Integrated Circuits and Systems},
volume = {41},
number = {6},
pages = {1636-1648},
}