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Sara Sacchi

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2020 – today

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2024
[j1]
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  - journals/tai/ChenSDBHLG24
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  - https://dblp.org/rec/journals/tai/ChenSDBHLG24
Ying-Lin Chen, Sara Sacchi, Bappaditya Dey, Víctor Blanco, Sandip Halder, Philippe Leray, Stefan De Gendt:
Exploring Machine Learning for Semiconductor Process Optimization: A Systematic Review. IEEE Trans. Artif. Intell. 5(12): 5969-5989 (2024)
2023
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  - conf/pkdd/DeyNSB0H23
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Bappaditya Dey, Anh Tuan Ngo, Sara Sacchi, Víctor Blanco, Philippe Leray, Sandip Halder:
Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance. PKDD/ECML Workshops (4) 2023: 435-453
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  - journals/corr/abs-2310-14815
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Sara Sacchi, Bappaditya Dey, Iacopo Mochi, Sandip Halder, Philippe Leray:
Deep learning denoiser assisted roughness measurements extraction from thin resists with low Signal-to-Noise Ratio(SNR) SEM images: analysis with SMILE. CoRR abs/2310.14815 (2023)
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  - journals/corr/abs-2312-09462
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Bappaditya Dey, Anh Tuan Ngo, Sara Sacchi, Víctor Blanco, Philippe Leray, Sandip Halder:
Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance. CoRR abs/2312.09462 (2023)

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