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Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 40 (5): 1474-1483 (2021)Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department., , , , and . Expert Syst. Appl., (2017)Processor Vulnerability Discovery., , and . DAC, page 1-3. IEEE, (2023)Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence., , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Satisfiability Don't Care condition based circuit fingerprinting techniques., and . ASP-DAC, page 815-820. IEEE, (2015)Mitigating Adversarial Attacks for Deep Neural Networks by Input Deformation and Augmentation., , , , , and . ASP-DAC, page 157-162. IEEE, (2020)A Low-Cost Fault Injection Attack Resilient FSM Design., , and . SoCC, page 19-24. IEEE, (2020)Balancing Testability and Security by Configurable Partial Scan Design., , , and . ITC-Asia, page 145-150. IEEE, (2018)Information Hiding behind Approximate Computation., , , and . ACM Great Lakes Symposium on VLSI, page 405-410. ACM, (2019)A New Aging Sensor for the Detection of Recycled ICs., , and . ACM Great Lakes Symposium on VLSI, page 223-228. ACM, (2020)