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Hamidreza Alikhani
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2020 – today
- 2024
- [c3]Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications. CODES+ISSS 2024: 6 - [c2]Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt:
SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness. DATE 2024: 1-2 - [c1]Hamidreza Alikhani
, Ziyu Wang
EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. ISLPED 2024: 1-6 - [i3]Navid Ayoobi, Lily Knab, Wen Cheng, David Pantoja, Hamidreza Alikhani, Sylvain Flamant, Jin Kim, Arjun Mukherjee:
ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination. CoRR abs/2409.14285 (2024) - 2023
- [j2]Hamidreza Alikhani
DynaFuse: Dynamic Fusion for Resource Efficient Multimodal Machine Learning Inference. IEEE Embed. Syst. Lett. 15(4): 222-225 (2023) - 2022
- [j1]Behnaz Ranjbar
Learning-Oriented QoS- and Drop-Aware Task Scheduling for Mixed-Criticality Systems. Comput. 11(7): 101 (2022) - [i2]Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani:
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR abs/2208.01095 (2022) - [i1]Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. CoRR abs/2208.02597 (2022)
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last updated on 2024-11-25 22:49 CET by the dblp team
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