Microcontroller Performance Screening: Optimizing the Characterization in the Presence of Anomalous and Noisy Data

Author:

Bellarmino Nicolo1,Cantoro Riccardo1,Huch Martin2,Kilian Tobias2,Schlichtmann Ulf3,Squillero Giovanni1

Affiliation:

1. Politecnico di Torino,Torino,Italy

2. Infineon Technologies AG,Munich,Germany

3. Technical University of Munich,Munich,Germany

Publisher

IEEE

Reference31 articles.

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5. Error Moderation in Low-Cost Machine-Learning-Based Analog/RF Testing

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1. Enabling Inter-Product Transfer Learning on MCU Performance Screening;2023 IEEE 32nd Asian Test Symposium (ATS);2023-10-14

2. A Multilabel Active Learning Framework for Microcontroller Performance Screening;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-10

3. Semi-Supervised Deep Learning for Microcontroller Performance Screening;2023 IEEE European Test Symposium (ETS);2023-05-22

4. Feature Selection for Cost Reduction In MCU Performance Screening;2023 IEEE 24th Latin American Test Symposium (LATS);2023-03-21

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