Mohammadreza Mohammadi

According to our database, Mohammadreza Mohammadi authored at least 20 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization.

Ehsan Nowroozi, Mohammadreza Mohammadi, Pargol Golmohammadi, Yassine Mekdad, Mauro Conti, A. Selcuk Uluagac

IEEE Trans. Serv. Comput., 2024

An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes.

Aigin Karimzadeh, Amir Zakery, Mohammadreza Mohammadi, Ali Yavari

CoRR, 2024

2023

Improving transfer entropy and partial transfer entropy for relative detection of effective connectivity strength between time series.

Ali Ekhlasi, Ali Motie Nasrabadi, Mohammadreza Mohammadi

Commun. Nonlinear Sci. Numer. Simul., November, 2023

Employing Deep Ensemble Learning for Improving the Security of Computer Networks Against Adversarial Attacks.

Ehsan Nowroozi, Mohammadreza Mohammadi, Erkay Savas, Yassine Mekdad, Mauro Conti

IEEE Trans. Netw. Serv. Manag., June, 2023

An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework.

Ehsan Nowroozi, Abhishek, Mohammadreza Mohammadi, Mauro Conti

IEEE Trans. Netw. Serv. Manag., June, 2023

An Unsupervised Learning Approach for Wayside Train Wheel Flat Detection.

Mohammadreza Mohammadi, Araliya Mosleh, Cecília Vale, Diogo Ribeiro, Pedro Aires Montenegro, Andreia Meixedo

Sensors, February, 2023

Work in Progress: Real-time Transformer Inference on Edge AI Accelerators.

Brendan Reidy, Mohammadreza Mohammadi, Mohammed E. Elbtity, Heath Smith, Ramtin Zand

Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators.

Heath Smith, James Seekings, Mohammadreza Mohammadi, Ramtin Zand

Proceedings of the International Conference on Machine Learning and Applications, 2023

Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping.

Mohammadreza Mohammadi, Sheng-En Huang, Titon Barua, Ioannis M. Rekleitis, Md Jahidul Islam, Ramtin Zand

Proceedings of the International Conference on Machine Learning and Applications, 2023

Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach.

Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei, Alberto Salcines, David Pampliega, Raul Clemente, Ana Lourdes Sanz

Proceedings of the 7th International Conference on Cloud and Big Data Computing, 2023

Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU.

Mohammadreza Mohammadi, Heath Smith, Lareb Khan, Ramtin Zand

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study.

Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition.

Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei, Ali Balador, Ehsan Nowroozi, Francesco Flammini, Mauro Conti

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Privacy-preserving Federated Learning System for Fatigue Detection.

Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, Sima Sinaei

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

2022

Static hand gesture recognition for American sign language using neuromorphic hardware.

Mohammadreza Mohammadi, Peyton Chandarana, James Seekings, Sara Hendrix, Ramtin Zand

Neuromorph. Comput. Eng., December, 2022

Pristine and Malicious URLs.

Ehsan Nowroozi, Abhishek, Mohammadreza Mohammadi, Mauro Conti

Dataset, April, 2022

Defeating Adversarial Attacks Againt Adversarial attacks in Network Security.

Ehsan Nowroozi, Mohammadreza Mohammadi, Mauro Conti, Pargol Golmohammadi, Yassine Mekdad, Arif Selcuk Uluagac

Dataset, March, 2022

SPRITZ-1.5C: Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks.

Ehsan Nowroozi, Mohammadreza Mohammadi, Erkay Savas, Mauro Conti, Yassine Mekdad

CoRR, 2022

Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware.

Peyton Chandarana, Mohammadreza Mohammadi, James Seekings, Ramtin Zand

Proceedings of the 13th IEEE International Green and Sustainable Computing Conference, 2022

MRAM-based Analog Sigmoid Function for In-memory Computing.

Md Hasibul Amin, Mohammed E. Elbtity, Mohammadreza Mohammadi, Ramtin Zand

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022