Automatic Detection of Domain Shifts in Speech Enhancement Systems Using Confidence-Based Metrics
Lior Frenkel, Shlomo E. Chazan, Jacob Goldberger
The Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
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Clinical Measurements with Calibrated Instance-Dependent Confidence Interval
Rotem Nizhar, Lior Frenkel, Jacob Goldberger
The Conference of Medical Imaging with Deep Learning (MIDL), 2025
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Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation
Lior Frenkel, Shlomo E. Chazan, Jacob Goldberger
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2024
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Confidence calibration of a medical imaging classification system that is robust to label noise
Coby Penso, Lior Frenkel, Jacob Goldberger
IEEE Transactions on Medical Imaging (T-MI), 2024
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Domain Adaptation for Speech Enhancement in a Large Domain Gap
Lior Frenkel, Shlomo E. Chazan, Jacob Goldberger
Interspeech, 2023

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Calibration of A Regression Network Based on the Predictive Variance with Applications to Medical Images
Lior Frenkel, Jacob Goldberger
International Symposium on Biomedical Imaging (ISBI), 2023
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Calibration of medical imaging classification systems with weight scaling
Lior Frenkel, Jacob Goldberger
The Conference of Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
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Network calibration by temperature scaling based on the predicted confidence
Lior Frenkel, Jacob Goldberger
European Signal Processing Conference (EUSIPCO), 2022
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Network calibration by class-based temperature scaling
Lior Frenkel, Jacob Goldberger
European Signal Processing Conference (EUSIPCO), 2021

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