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ORCIDHadi Zanddizari
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2020 – today
- 2024
[j5]Behnam Zeinali
, Hadi Zanddizari, J. Morris Chang:
IMUNet: Efficient Regression Architecture for Inertial IMU Navigation and Positioning. IEEE Trans. Instrum. Meas. 73: 1-13 (2024)- [c8]Joseph Khoury, Dorde Klisura, Hadi Zanddizari, Gonzalo De La Torre Parra, Peyman Najafirad, Elias Bou-Harb:
Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks. SP 2024: 3644-3660 - 2023
- [c7]Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh, Nasir Ghani, Morteza Safaei Pour, Elias Bou-Harb, Jorge Crichigno:
Federated Learning Approach for Distributed Ransomware Analysis. ACNS Workshops 2023: 621-641 - [c6]Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, Farooq Shaikh, Elias Bou-Harb, Morteza Safaei Pour, Jorge Crichigno:
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution. NOMS 2023: 1-6 - [i7]G. Dumindu Samaraweera, Hung Nguyen, Hadi Zanddizari, Behnam Zeinali, J. Morris Chang:
Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms. CoRR abs/2302.00514 (2023) - [i6]Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, Farooq Shaikh, Elias Bou-Harb, Morteza Safaei Pour, Jorge Crichigno:
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution. CoRR abs/2305.13287 (2023) - [i5]Aldin Vehabovic, Hadi Zanddizari, Farooq Shaikh, Nasir Ghani, Morteza Safaei Pour, Elias Bou-Harb, Jorge Crichigno:
Federated Learning Approach for Distributed Ransomware Analysis. CoRR abs/2306.14090 (2023) - [i4]Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, G. Javidi, A. Selcuk Uluagac, Mohamed Rahouti, Elias Bou-Harb, Morteza Safaei Pour:
Ransomware Detection Using Federated Learning with Imbalanced Datasets. CoRR abs/2311.07760 (2023) - 2022
- [b1]Hadi Zanddizari:
Improving Robustness of Deep Learning Models and Privacy-Preserving Image Denoising. University of South Florida, Tampa, USA, 2022 - [j4]Hadi Zanddizari, Sreeraman Rajan, Houman Zarrabi, Hassan Rabah:
Privacy Assured Recovery of Compressively Sensed ECG Signals. IEEE Access 10: 17122-17133 (2022) - [j3]Hadi Zanddizari, Behnam Zeinali, J. Morris Chang:
Generating Black-Box Adversarial Examples in Sparse Domain. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 795-804 (2022) - [i3]Behnam Zeinali, Hadi Zanddizari, J. Morris Chang:
IMUNet: Efficient Regression Architecture for IMU Navigation and Positioning. CoRR abs/2208.00068 (2022) - 2021
- [j2]Hadi Zanddizari, Nam Nguyen, Behnam Zeinali, J. Morris Chang:
A new preprocessing approach to improve the performance of CNN-based skin lesion classification. Medical Biol. Eng. Comput. 59(5): 1123-1131 (2021) - [c5]Hadi Zanddizari, Ankita Dey, Sreeraman Rajan:
Image Super-Resolution Through Compressive Sensing-based Recovery. EMBC 2021: 4006-4010 - [i2]Hadi Zanddizari, J. Morris Chang:
Generating Black-Box Adversarial Examples in Sparse Domain. CoRR abs/2101.09324 (2021) - [i1]Hadi Zanddizari, Sreeraman Rajan, Hassan Rabah, Houman Zarrabi:
Privacy Assured Recovery of Compressively Sensed ECG signals. CoRR abs/2101.09416 (2021) - 2020
- [j1]Dipayan Mitra, Hadi Zanddizari, Sreeraman Rajan:
Investigation of Kronecker-Based Recovery of Compressed ECG Signal. IEEE Trans. Instrum. Meas. 69(6): 3642-3653 (2020) - [c4]Hadi Zanddizari, Dipayan Mitra, Sreeraman Rajan:
Blind Deterministic Compressive Sensing for Biomedical Images. MeMeA 2020: 1-5
2010 – 2019
- 2018
- [c3]Dipayan Mitra, Hadi Zanddizari, Sreeraman Rajan:
Improvement of Recovery in Segmentation-Based Parallel Compressive Sensing. ISSPIT 2018: 141-146 - [c2]Dipayan Mitra, Hadi Zanddizari, Sreeraman Rajan:
Improvement of Recovery in Segmentation-Based Parallel Compressive Sensing. ISSPIT 2018: 501-506 - [c1]Dipayan Mitra, Hadi Zanddizari, Sreeraman Rajan:
Improvement of Signal Quality During Recovery of Compressively Sensed ECG Signals. MeMeA 2018: 1-5
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