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Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning., , , , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 38 (6): 1175-1187 (2019)Detecting multi-layer layout hotspots with adaptive squish patterns., , , , и . ASP-DAC, стр. 299-304. ACM, (2019)SRAF insertion via supervised dictionary learning., , , , и . ASP-DAC, стр. 406-411. ACM, (2019)VLSI mask optimization: From shallow to deep learning., , , , , , и . Integr., (2021)DTEC: Decision tree-based evidential clustering for interpretable partition of uncertain data., , , , и . Pattern Recognit., (декабря 2023)Interpretable fuzzy clustering using unsupervised fuzzy decision trees., , , и . Inf. Sci., (2022)Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection., , , , , , , и . CoRR, (2019)Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection., , , , , , , и . ACM Trans. Design Autom. Electr. Syst., 25 (5): 48:1-48:31 (2020)Machine Learning for Electronic Design Automation: A Survey., , , , , , , , , и 6 other автор(ы). CoRR, (2021)Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent., , и . CoRR, (2024)