B. Reidy, G. Jalilvand, T. Jiang and R. Zand, "TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks," 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 2020, pp. 1468-1474, doi: 10.1109/ICMLA51294.2020.00227.
E. Jokar, S. H. Klidbary, H. Abolfathi, S. B. Shouraki, R. Zand and A. Ahmadi, "Hardware-Algorithm Co-Design of a Compressed Fuzzy Active Learning Method," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 12, pp. 4932-4945, Dec. 2020, doi: 10.1109/TCSI.2020.3010723.
V. Ostwal, R. Zand, R. DeMara and J. Appenzeller, "A Novel Compound Synapse Using Probabilistic Spin–Orbit-Torque Switching for MTJ-Based Deep Neural Networks," in IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, vol. 5, no. 2, pp. 182-187, Dec. 2019, doi: 10.1109/JXCDC.2019.2956468.
R. Zand and R. F. DeMara, "MRAM-Enhanced Low Power Reconfigurable Fabric With Multi-Level Variation Tolerance," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 12, pp. 4662-4672, Dec. 2019, doi: 10.1109/TCSI.2019.2932379.