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Hamza Baali
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2020 – today
- 2024
- [j4]Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Son Lam Phung, Hoang Thanh Le, Hamza Baali:
A Deep Learning-Based Method for Crowd Counting Using Shunting Inhibition Mechanism. IEEE Trans. Artif. Intell. 5(11): 5733-5745 (2024) - 2021
- [c16]Hamza Baali, Abdesselam Bouzerdoum, Abdelkrim Khelif:
Sparsity And Nonnegativity Constrained Krylov Approach For Direction Of Arrival Estimation. ICASSP 2021: 4400-4404 - 2020
- [c15]Amine Haboub, Hamza Baali, Abdesselam Bouzerdoum:
Multichannel Signal Classification Using Vector Autoregression. ICASSP 2020: 1021-1025 - [c14]Saleh Musleh, Tanvir Alam, Abdesselam Bouzerdoum, Samir B. Belhaouari, Hamza Baali:
Identification of Potential Risk Factors of Diabetes for the Qatari Population. ICIoT 2020: 243-246 - [c13]Ahmed M. Eldaraa, Hamza Baali, Abdesselam Bouzerdoum, Samir B. Belhaouari, Tanvir Alam, Anas S. Abdel Rahman:
Classification of Sleep Arousal using Compact CNN. ICIoT 2020: 247-253 - [c12]Anas S. Abdel Rahman, Samir B. Belhaouari, Abdesselam Bouzerdoum, Hamza Baali, Tanvir Alam, Ahmed M. Eldaraa:
Breast Mass Tumor Classification using Deep Learning. ICIoT 2020: 271-276
2010 – 2019
- 2019
- [c11]Hamza Baali, Abdesselam Bouzerdoum:
Efficient Pre-Designed Convolutional Front-End for Deep Learning. MLSP 2019: 1-5 - 2018
- [j3]Hamza Baali, Xiaojun Zhai, Hamza Djelouat, Abbes Amira, Faycal Bensaali:
Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation. IEEE Access 6: 9464-9472 (2018) - [c10]Mohammed Al Disi, Hamza Baali, Hamza Djelouat, Abbes Amira, Faycal Bensaali, Chris Kontronis, George Dimitrakopoulos, Guillaume Alinier:
An Efficient Compressive Sensing Method for Connected Health Applications. IntelliSys (2) 2018: 365-373 - 2017
- [j2]Hamza Djelouat, Hamza Baali, Abbes Amira, Faycal Bensaali:
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System. Wirel. Commun. Mob. Comput. 2017 (2017) - [c9]Hamza Baali, Hamza Djelouat, Abbes Amira, Faycal Bensaali, Xiaojun Zhai:
Efficient hardware implementation of the l1 - Regularized least squares for IoT edge computing. ICUWB 2017: 1-5 - [c8]Hamza Djelouat, Hamza Baali, Abbes Amira, Faycal Bensaali:
Joint sparsity recovery for compressive sensing based EEG system. ICUWB 2017: 1-5 - [c7]Christos Kotronis, G. Minou, George Dimitrakopoulos, Mara Nikolaidou, Dimosthenis Anagnostopoulos, Abbes Amira, Faycal Bensaali, Hamza Baali, Hamza Djelouat:
Managing Criticalities of e-Health IoT systems. ICUWB 2017: 1-5 - [c6]Hamza Djelouat, Hamza Baali, Abbes Amira, Faycal Bensaali:
IoT Based Compressive Sensing for ECG Monitoring. iThings/GreenCom/CPSCom/SmartData 2017: 183-189 - [c5]Hamza Baali, Hamza Djelouat, Abbes Amira, Faycal Bensaali, Xiaojun Zhai:
QRS Complexes Classification Using Dictionary Learning and Pietra Index. iThings/GreenCom/CPSCom/SmartData 2017: 203-207 - 2015
- [c4]Hamza Baali, Mostefa Mesbah:
Ventricular ectopic beats classification using Sparse Representation and Gini Index. EMBC 2015: 5821-5824 - [c3]Mostefa Mesbah, Aida Khorshidtalab, Hamza Baali, Ahmed Al-Ani:
Motor Imagery Task Classification Using a Signal-Dependent Orthogonal Transform Based Feature Extraction. ICONIP (2) 2015: 1-9 - 2014
- [j1]Hamza Baali, Rini Akmeliawati, Momoh-Jimoh E. Salami, Aida Khorshidtalab, Einly Lim:
ECG Parametric Modeling Based on Signal Dependent Orthogonal Transform. IEEE Signal Process. Lett. 21(10): 1293-1297 (2014) - 2013
- [c2]Hamza Baali, Rini Akmeliawati, Momoh-Jimoh E. Salami:
Regularized Least Squares Applied to Heartbeat Classification using Transform-based and RR Intervals Features. BIOINFORMATICS 2013: 164-170 - 2011
- [c1]Hamza Baali, Momoh-Jimoh E. Salami, Rini Akmeliawati, Abiodun Musa Aibinu:
Analysis of the ECG Signal Using SVD-Based Parametric Modelling Technique. DELTA 2011: 180-184
Coauthor Index
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last updated on 2024-12-22 19:02 CET by the dblp team
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