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Farzad Niknia
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2020 – today
- 2024
- [j7]Ziheng Wang, Pedro Reviriego, Farzad Niknia, Javier Conde, Shanshan Liu, Fabrizio Lombardi:
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things. IEEE Internet Things J. 11(8): 14076-14087 (2024) - [i3]Ziheng Wang, Pedro Reviriego, Farzad Niknia, Javier Conde, Shanshan Liu, Fabrizio Lombardi:
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things. CoRR abs/2408.14528 (2024) - 2023
- [j6]Xiaochen Tang, Shanshan Liu, Farzad Niknia, Ziheng Wang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi:
Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 270-284 (2023) - [j5]Ziheng Wang, Farzad Niknia, Shanshan Liu, Pedro Reviriego, Paolo Montuschi, Fabrizio Lombardi:
Tolerance of Siamese Networks (SNs) to Memory Errors: Analysis and Design. IEEE Trans. Computers 72(4): 1136-1149 (2023) - [c3]Xiaochen Tang, Shanshan Liu, Farzad Niknia, Wei Tang, Pedro Reviriego, Fabrizio Lombardi:
Integrating Delta Modulation and Stochastic Computing for Real-time Machine Learning based Heartbeats Monitoring in Wearable Systems. AICAS 2023: 1-5 - [c2]Ziheng Wang, Farzad Niknia, Shanshan Liu, Honglan Jiang, Siting Liu, Pedro Reviriego, Fabrizio Lombardi:
Feature-Embedding Triplet Networks with a Separately Constrained Loss Function. ISCAS 2023: 1-5 - [i2]Pedro Reviriego, Ziheng Wang, Álvaro Alonso, Zhen Gao, Farzad Niknia, Shanshan Liu, Fabrizio Lombardi:
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems. CoRR abs/2306.01820 (2023) - 2022
- [j4]Farzad Niknia, Jean-Luc Danger, Sylvain Guilley, Naghmeh Karimi:
Aging Effects on Template Attacks Launched on Dual-Rail Protected Chips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1276-1289 (2022) - [j3]Xiaochen Tang, Shanshan Liu, Farzad Niknia, Pedro Reviriego, Ziheng Wang, Wei Tang, Ahmed Louri, Fabrizio Lombardi:
A Delta Sigma Modulator-Based Stochastic Divider. IEEE Trans. Circuits Syst. I Regul. Pap. 69(8): 3272-3283 (2022) - [j2]Pedro Reviriego, Shanshan Liu, Otmar Ertl, Farzad Niknia, Fabrizio Lombardi:
Computing the Similarity Estimate Using Approximate Memory. IEEE Trans. Emerg. Top. Comput. 10(3): 1593-1604 (2022) - 2021
- [j1]Shanshan Liu, Xiaochen Tang, Farzad Niknia, Pedro Reviriego, Weiqiang Liu, Ahmed Louri, Fabrizio Lombardi:
Stochastic Dividers for Low Latency Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4102-4115 (2021) - [c1]Ashkan Vakil, Farzad Niknia, Ali Mirzaeian, Avesta Sasan, Naghmeh Karimi:
Learning Assisted Side Channel Delay Test for Detection of Recycled ICs. ASP-DAC 2021: 455-462 - 2020
- [i1]Ashkan Vakil, Farzad Niknia, Ali Mirzaeian, Avesta Sasan, Naghmeh Karimi:
Learning Assisted Side Channel Delay Test for Detection of Recycled ICs. CoRR abs/2010.12704 (2020)
Coauthor Index
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