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Mohammadreza Mohammadi
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Journal Articles
- 2024
- [j6]Ehsan Nowroozi, Mohammadreza Mohammadi, Pargol Golmohammadi, Yassine Mekdad, Mauro Conti, A. Selcuk Uluagac:
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization. IEEE Trans. Serv. Comput. 17(1): 18-29 (2024) - 2023
- [j5]Ali Ekhlasi, Ali Motie Nasrabadi, Mohammadreza Mohammadi:
Improving transfer entropy and partial transfer entropy for relative detection of effective connectivity strength between time series. Commun. Nonlinear Sci. Numer. Simul. 126: 107449 (2023) - [j4]Mohammadreza Mohammadi, Araliya Mosleh, Cecília Vale, Diogo Ribeiro, Pedro Aires Montenegro, Andreia Meixedo:
An Unsupervised Learning Approach for Wayside Train Wheel Flat Detection. Sensors 23(4): 1910 (2023) - [j3]Ehsan Nowroozi, Abhishek, Mohammadreza Mohammadi, Mauro Conti:
An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework. IEEE Trans. Netw. Serv. Manag. 20(2): 1332-1344 (2023) - [j2]Ehsan Nowroozi, Mohammadreza Mohammadi, Erkay Savas, Yassine Mekdad, Mauro Conti:
Employing Deep Ensemble Learning for Improving the Security of Computer Networks Against Adversarial Attacks. IEEE Trans. Netw. Serv. Manag. 20(2): 2096-2105 (2023) - 2022
- [j1]Mohammadreza Mohammadi, Peyton Chandarana, James Seekings, Sara Hendrix, Ramtin Zand:
Static hand gesture recognition for American sign language using neuromorphic hardware. Neuromorph. Comput. Eng. 2(4): 44005 (2022)
Conference and Workshop Papers
- 2024
- [c14]Brendan Reidy, Sepehr Tabrizchi, Mohammadreza Mohammadi, Shaahin Angizi, Arman Roohi, Ramtin Zand:
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. DAC 2024: 275:1-275:6 - [c13]Sima Sinaei, Mohammadreza Mohammadi, Rakesh Shrestha, Mina Alibeigi, David Eklund:
PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection. DSD 2024: 427-434 - [c12]Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei:
Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids. ICCBDC 2024: 60-66 - [c11]Md Hasibul Amin, Mohammadreza Mohammadi, Ramtin Zand:
Multi-Objective Neural Architecture Search for In-Memory Computing. ISVLSI 2024: 343-348 - 2023
- [c10]Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, Sima Sinaei:
Privacy-preserving Federated Learning System for Fatigue Detection. CSR 2023: 624-629 - [c9]Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei, Ali Balador, Ehsan Nowroozi, Francesco Flammini, Mauro Conti:
Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition. FedCSIS 2023: 191-199 - [c8]Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei:
Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study. FMEC 2023: 80-86 - [c7]Mohammadreza Mohammadi, Heath Smith, Lareb Khan, Ramtin Zand:
Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU. ACM Great Lakes Symposium on VLSI 2023: 243-248 - [c6]Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei, Alberto Salcines, David Pampliega, Raul Clemente, Ana Lourdes Sanz:
Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach. ICCBDC 2023: 48-54 - [c5]Mohammadreza Mohammadi, Sheng-En Huang, Titon Barua, Ioannis M. Rekleitis, Md Jahidul Islam, Ramtin Zand:
Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping. ICMLA 2023: 1392-1398 - [c4]Heath Smith, James Seekings, Mohammadreza Mohammadi, Ramtin Zand:
Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators. ICMLA 2023: 1547-1552 - [c3]Brendan Reidy, Mohammadreza Mohammadi, Mohammed E. Elbtity, Heath Smith, Ramtin Zand:
Work in Progress: Real-time Transformer Inference on Edge AI Accelerators. RTAS 2023: 341-344 - 2022
- [c2]Md Hasibul Amin, Mohammed E. Elbtity, Mohammadreza Mohammadi, Ramtin Zand:
MRAM-based Analog Sigmoid Function for In-memory Computing. ACM Great Lakes Symposium on VLSI 2022: 319-323 - [c1]Peyton Chandarana, Mohammadreza Mohammadi, James Seekings, Ramtin Zand:
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware. IGSC 2022: 1-7
Data and Artifacts
- 2022
- [d2]Ehsan Nowroozi, Abhishek, Mohammadreza Mohammadi, Mauro Conti:
Pristine and Malicious URLs. IEEE DataPort, 2022 - [d1]Ehsan Nowroozi, Mohammadreza Mohammadi, Mauro Conti, Pargol Golmohammadi, Yassine Mekdad, Arif Selcuk Uluagac:
Defeating Adversarial Attacks Againt Adversarial attacks in Network Security. Zenodo, 2022
Informal and Other Publications
- 2024
- [i10]Aigin Karimzadeh, Amir Zakery, Mohammadreza Mohammadi, Ali Yavari:
An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes. CoRR abs/2402.05949 (2024) - [i9]Heath Smith, James Seekings, Mohammadreza Mohammadi, Ramtin Zand:
Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators. CoRR abs/2403.08792 (2024) - [i8]Md Hasibul Amin, Mohammadreza Mohammadi, Ramtin Zand:
Multi-Objective Neural Architecture Search for In-Memory Computing. CoRR abs/2406.06746 (2024) - [i7]James Seekings, Peyton Chandarana, Mahsa Ardakani, Mohammadreza Mohammadi, Ramtin Zand:
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware. CoRR abs/2407.08704 (2024) - 2023
- [i6]Mohammadreza Mohammadi, Heath Smith, Lareb Khan, Ramtin Zand:
Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU. CoRR abs/2305.15422 (2023) - 2022
- [i5]Md Hasibul Amin, Mohammed E. Elbtity, Mohammadreza Mohammadi, Ramtin Zand:
MRAM-based Analog Sigmoid Function for In-memory Computing. CoRR abs/2204.09918 (2022) - [i4]Ehsan Nowroozi, Abhishek, Mohammadreza Mohammadi, Mauro Conti:
An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework. CoRR abs/2204.13172 (2022) - [i3]Ehsan Nowroozi, Mohammadreza Mohammadi, Pargol Golmohammadi, Yassine Mekdad, Mauro Conti, A. Selcuk Uluagac:
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization. CoRR abs/2209.04930 (2022) - [i2]Ehsan Nowroozi, Mohammadreza Mohammadi, Erkay Savas, Mauro Conti, Yassine Mekdad:
SPRITZ-1.5C: Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks. CoRR abs/2209.12195 (2022) - [i1]Peyton Chandarana, Mohammadreza Mohammadi, James Seekings, Ramtin Zand:
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware. CoRR abs/2210.05006 (2022)
Coauthor Index
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last updated on 2024-11-20 20:59 CET by the dblp team
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