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2020 – today
- 2025
[j21]Amirhosein Zobeiri, Alireza Rezaee, Farshid Hajati, Ahmadreza Argha, Hamid Alinejad-Rokny:
Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis. Int. J. Medical Informatics 193: 105659 (2025)- [j20]Ahmadreza Argha
, Hamid Alinejad-Rokny, Martin Baumgartner, Günter Schreier, Branko G. Celler, Stephen J. Redmond, Ken Butcher, Sze-Yuan Ooi, Nigel H. Lovell:
A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms. IEEE Trans. Biomed. Eng. 72(2): 833-842 (2025) - [i3]Sunbowen Lee, Shiwen Ni, Chi Wei, Shuaimin Li, Liyang Fan, Ahmadreza Argha, Hamid Alinejad-Rokny, Ruifeng Xu, Yicheng Gong, Min Yang:
xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking. CoRR abs/2501.16727 (2025) - 2024
- [j19]Alireza Sadeghi, Farshid Hajati, Alireza Rezaee, Mahdieh Sadeghi, Ahmadreza Argha, Hamid Alinejad-Rokny:
3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection. Comput. Biol. Medicine 182: 109126 (2024) - [c33]Jonathan Williams, Jimmy Wang, Michael C. Stevens, Nigel H. Lovell, Ahmadreza Argha:
mmYOLOH-p: A Clinically-Oriented mmWave-Based Human Pose Estimation Tool for Unobtrusive Patient Monitoring. EMBC 2024: 1-4 - [i2]Afshar Shamsi, Rejisa Becirovic, Ahmadreza Argha, Ehsan Abbasnejad, Hamid Alinejad-Rokny, Arash Mohammadi:
ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance. CoRR abs/2409.09251 (2024) - 2023
- [j18]Ariyamehr Mohsen Rezaei, Michael C. Stevens, Ahmadreza Argha, Alessandro Mascheroni, Alessandro Puiatti, Nigel H. Lovell:
An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning. IEEE Trans. Biomed. Eng. 70(1): 115-124 (2023) - [c32]Ahmadreza Argha, Branko G. Celler, Andy Yong, Imants Rubenis, Mark Butlin, Alberto Avolio:
New Perspectives on Non-invasive Blood Pressure Measurement. EMBC 2023: 1-4 - [c31]Ahmadreza Argha, Joan Li, Joseph Magdy, Hamid Alinejad-Rokny, Branko G. Celler, Ken Butcher, Sze-Yuan Ooi, Nigel H. Lovell:
Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm. EMBC 2023: 1-6 - [c30]Seng Hansun, Ahmadreza Argha, Hamid Alinejad-Rokny, Siaw-Teng Liaw, Branko G. Celler, Guy B. Marks:
Revisiting Transfer Learning Method for Tuberculosis Diagnosis. EMBC 2023: 1-4 - [i1]Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny:
Revolutionizing Genomics with Reinforcement Learning Techniques. CoRR abs/2302.13268 (2023) - 2022
- [j17]Ahmadreza Argha, Branko G. Celler, Hamid Alinejad-Rokny, Nigel H. Lovell:
Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [d2]Ahmadreza Argha, Branko G. Celler:
BP Data-UNSW. IEEE DataPort, 2022
- 2021
- [j16]Branko G. Celler, Mark Butlin, Ahmadreza Argha, Isabella Tan, Andy Yong, Alberto Avolio:
Are Korotkoff Sounds Reliable Markers for Accurate Estimation of Systolic and Diastolic Pressure Using Brachial Cuff Sphygmomanometry? IEEE Trans. Biomed. Eng. 68(12): 3593-3601 (2021) - [j15]Ahmadreza Argha, Branko G. Celler, Nigel H. Lovell:
A Novel Automated Blood Pressure Estimation Algorithm Using Sequences of Korotkoff Sounds. IEEE J. Biomed. Health Informatics 25(4): 1257-1264 (2021) - [c29]Ariyamehr Mohsen Rezaei, Michael C. Stevens, Ahmadreza Argha, Alessandro Mascheroni, Alessandro Puiatti, Nigel H. Lovell:
An Unobtrusive Fall Detection System Using Low Resolution Thermal Sensors and Convolutional Neural Networks. EMBC 2021: 6949-6952 - 2020
- [j14]Hairong Yu, Yi Zhang, Lin Ye, Hamzah Alqudah, Kairui Guo, Ahmadreza Argha, Branko G. Celler, Rong Song, Steven W. Su:
Nonparametric Model Prediction for Intelligent Regulation of Human Cardiorespiratory System to Prescribed Exercise Medicine. IEEE Access 8: 224621-224630 (2020) - [j13]Ahmadreza Argha, Branko G. Celler:
Blood Pressure Estimation From Time-Domain Features of Oscillometric Waveforms Using Long Short-Term Memory Recurrent Neural Networks. IEEE Trans. Instrum. Meas. 69(6): 3614-3622 (2020) - [j12]Branko G. Celler, Phu Ngoc Le, Ahmadreza Argha, Eliathamby Ambikairajah:
GMM-HMM-Based Blood Pressure Estimation Using Time-Domain Features. IEEE Trans. Instrum. Meas. 69(6): 3631-3641 (2020) - [d1]Ahmadreza Argha:
Auscultatory and Oscillometry Blood Pressure Data. IEEE DataPort, 2020
2010 – 2019
- 2019
- [j11]Ahmadreza Argha, Ji Wu, Steven W. Su, Branko G. Celler:
Blood Pressure Estimation From Beat-by-Beat Time-Domain Features of Oscillometric Waveforms Using Deep-Neural-Network Classification Models. IEEE Access 7: 113427-113439 (2019) - [j10]Ahmadreza Argha, Steven W. Su, Branko G. Celler:
Control allocation-based fault tolerant control. Autom. 103: 408-417 (2019) - [j9]Ahmadreza Argha, Steven W. Su, Andrey V. Savkin, Branko G. Celler:
A framework for optimal actuator/sensor selection in a control system. Int. J. Control 92(2): 242-260 (2019) - [j8]Ahmadreza Argha, Steven W. Su, Andrey V. Savkin, Branko G. Celler:
Design of optimal sliding-mode control using partial eigenstructure assignment. Int. J. Control 92(7): 1511-1523 (2019) - [c28]Ahmadreza Argha, Steven W. Su, Yanan Liu, Branko G. Celler:
Control Allocation Based Sliding Mode Fault Tolerant Control. ACC 2019: 3752-3757 - [c27]Branko G. Celler, Phu Ngoc Le, Ahmadreza Argha, Eliathamby Ambikairajah:
Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and GMM-HMM Classification Approach. EMBC 2019: 208-211 - [c26]Yao Huang, Rong Song, Wenhui Chen, Hairong Yu, Ahmadreza Argha, Branko G. Celler, Steven W. Su:
The effects of different tracking tasks on muscle synergy through visual feedback. EMBC 2019: 417-420 - [c25]Ahmadreza Argha, Branko G. Celler:
Blood Pressure Estimation Using Time Domain Features of Auscultatory Waveforms and Deep Learning. EMBC 2019: 1821-1824 - 2018
- [j7]Ahmadreza Argha, Steven W. Su, Andrey V. Savkin, Branko G. Celler:
Mixed H2/H∞-based actuator selection for uncertain polytopic systems with regional pole placement. Int. J. Control 91(2): 320-336 (2018) - [j6]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
Sparsely distributed sliding mode control for interconnected systems. J. Frankl. Inst. 355(14): 6191-6214 (2018) - [c24]Ahmadreza Argha, Steven W. Su, Branko G. Celler:
Optimal Sparsely Distributed Static Output Feedback For Publisher/Subscriber Networked Systems With Parametric Uncertainties. ACC 2018: 2617-2622 - [c23]Ahmadreza Argha, Steven W. Su, Andrey V. Savkin, Branko G. Celler:
A Novel Optimal Sliding Mode Control For Multiple Time-Delay Systems. ACC 2018: 4081-4086 - [c22]Ahmadreza Argha, Branko G. Celler:
Seasonal Variation In An At-Home Telemonitoring Trial. EMBC 2018: 1-4 - [c21]Yi Zhang, Qin Yang, Winnie Pang, Ahmadreza Argha, Peng Xu, Steven W. Su, Dezhong Yao:
Congestive Heart Failure Detection Via Short-Time Electrocardiographic Monitoring For Fast Reference Advice In Urgent Medical Conditions. EMBC 2018: 2256-2259 - 2017
- [j5]Ahmadreza Argha, Li Li, Steven W. Su:
Sliding mode stabilisation of networked systems with consecutive data packet dropouts using only accessible information. Int. J. Syst. Sci. 48(6): 1291-1300 (2017) - [j4]Ahmadreza Argha, Li Li, Steven W. Su:
Design of H2 (H∞)-based optimal structured and sparse static output feedback gains. J. Frankl. Inst. 354(10): 4156-4178 (2017) - [j3]Ahmadreza Argha, Steven W. Su, Branko G. Celler:
Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback. Medical Biol. Eng. Comput. 55(3): 483-492 (2017) - [c20]Ahmadreza Argha, Li Li, Quang Ha, Steven W. Su, Hung T. Nguyen:
Strong stability based robust sliding mode control. ASCC 2017: 588-593 - [c19]Ahmadreza Argha, Lin Ye, Kai Cao, Steven W. Su, Branko G. Celler:
Real-time identification of heart rate responses via auxiliary-model-based damped RLS scheme. EMBC 2017: 1312-1315 - [c18]Lin Ye, Ahmadreza Argha, Branko G. Celler, Yi Zhang, Hung T. Nguyen, Steven W. Su:
Nonparametric modelling of VO2 response to exercise. EMBC 2017: 1525-1528 - 2016
- [b1]Ahmadreza Argha:
Advances in discrete-time sliding mode control: theory and applications. University of Technology Sydney, Australia, 2016 - [j2]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
On LMI-based sliding mode control for uncertain discrete-time systems. J. Frankl. Inst. 353(15): 3857-3875 (2016) - [c17]Ahmadreza Argha, Steven W. Su, Andrey V. Savkin:
Optimal actuator/sensor selection through dynamic output feedback. CDC 2016: 3624-3629 - [c16]Ahmadreza Argha, Steven W. Su, Andrey V. Savkin, Branko G. Celler:
"2/H∞ based sliding mode control: A partial eigenstructure assignment method. CDC 2016: 5354-5359 - [c15]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
ℋ2-based optimal sparse sliding mode control for networked control systems. CDC 2016: 6826-6831 - [c14]Ahmadreza Argha, Lin Ye, Steven W. Su, Hung T. Nguyen, Branko G. Celler:
Heart rate regulation during cycle-ergometer exercise using damped parameter estimation method. EMBC 2016: 2676-2679 - [c13]Ahmadreza Argha, Lin Ye, Steven W. Su, Hung T. Nguyen, Branko G. Celler:
Real-time modelling of heart rate response during exercise using a novel constrained parameter estimation method. EMBC 2016: 2680-2683 - 2015
- [j1]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
Controllability Analysis of Two-Dimensional Systems Using 1D Approaches. IEEE Trans. Autom. Control. 60(11): 2977-2982 (2015) - [c12]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
Discrete-time sliding mode control for networked systems with random communication delays. ACC 2015: 6016-6021 - [c11]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
Robust output-feedback discrete-time sliding mode control utilizing disturbance observer. CDC 2015: 5671-5676 - [c10]Ahmadreza Argha, Steven W. Su, Hung T. Nguyen, Branko G. Celler:
Heart rate regulation during cycle-ergometer exercise via bio-feedback. EMBC 2015: 4639-4642 - [c9]Ahmadreza Argha, Steven W. Su, Hung T. Nguyen, Branko G. Celler:
Designing adaptive integral sliding mode control for heart rate regulation during cycle-ergometer exercise using bio-feedback. EMBC 2015: 6688-6691 - [c8]Jianwei Zhang, David George Dorrell, Li Li, Ahmadreza Argha:
A novel sliding mode controller for DC-DC boost converters under input/load variations. IECON 2015: 1698-1703 - 2014
- [c7]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
Decentralized sliding mode control for uncertain discrete-time large-scale systems: An LMI approach. AuCC 2014: 251-256 - [c6]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
Controllability analysis of the first FM model of 2D systems: A row (column) process. CDC 2014: 2414-2419 - [c5]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
A new LMI-based robust Sliding Mode Control for the uncertain discrete-time systems. CDC 2014: 4747-4752 - [c4]Ahmadreza Argha, Steven W. Su, Sangwon Lee, Hung T. Nguyen, Branko G. Celler:
On heart rate regulation in cycle-ergometer exercise. EMBC 2014: 3390-3393 - 2013
- [c3]Ahmadreza Argha, Li Li, Steven W. Su, Hung T. Nguyen:
The application of Discrete sliding mode control in parabolic PDE dynamics. AuCC 2013: 152-157 - [c2]Ahmadreza Argha, Li Li, Steven W. Su:
A new approach to applying discrete sliding mode control to 2D systems. CDC 2013: 3584-3589
2000 – 2009
- 2008
- [c1]Ahmadreza Argha, Paknoosh Karimaghaee, Mehdi Roopaei:
Iterative learning control for 2-D systems. IJCNN 2008: 2164-2168
Coauthor Index
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