Mahdi Barhoush

According to our database, Mahdi Barhoush authored at least 9 papers between 2022 and 2023.

Collaborative distances:

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

2023

An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning.

Ahmad Ayad, Mahdi Barhoush, Marian Frei, Benedikt Völker, Anke Schmeink

IEEE J. Biomed. Health Informatics, September, 2023

Speaker identification and localization using shuffled MFCC features and deep learning.

Mahdi Barhoush, Ahmed Hallawa, Anke Schmeink

Int. J. Speech Technol., March, 2023

Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning.

Mahdi Barhoush, Ahmed Hallawa, Arne Peine, Lukas Martin, Anke Schmeink

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications.

Mahdi Barhoush, Ahmad Ayad, Anke Schmeink

Proceedings of the 15th IEEE International Symposium on Autonomous Decentralized System, 2023

Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM.

Ahmad Ayad, Mahdi Barhoush, Benedikt Völker, Steffen Leonhardt, Anke Schmeink

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

Detecting Data Poisoning in Split Learning Using Intraclass- Distance Inflated Loss.

Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Anke Schmeink

Proceedings of the IEEE Globecom Workshops 2023, 2023

On Using Meta-Learning to Overcome Challenges in Speaker Localization.

Mahdi Barhoush, Ahmed Hallawa, Anke Schmeink

Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

2022

Semi-supervised Algorithms in Resource-constrained Edge Devices: An Overview and Experimental Comparison.

Mahdi Barhoush, Ahmed Ayad, Anke Schmeink

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Radiopaths: Deep Multimodal Analysis on Chest Radiographs.

Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Bastian Leibe, Anke Schmeink

Proceedings of the IEEE International Conference on Big Data, 2022