Ahmad Ayad

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Labeled Instances

Electronic Patient Record

Chest Radiographs

Supervised Learning

Top Venues

Publications

Ahmad Ayad, Yu-Hsuan Tai, Guido Dartmann, Anke Schmeink
Smart Summary: A Distributed Medical Recommender System for Patients in the ICU Using Neural Networks. IEEE Access 12 (2024)
Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Anke Schmeink
Parallel Split Learning with Global Sampling. CoRR (2024)
Miriam Chlumsky-Harttmann, Ahmad Ayad, Anke Schmeink
HypoTreat: Reducing Hypoglycemia in Artificial Pancreas Simulation. EAIS (2024)
Ahmad Ayad, Mahdi Barhoush, Marian Frei, Benedikt Völker, Anke Schmeink
An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Anke Schmeink
Detecting Data Poisoning in Split Learning Using Intraclass- Distance Inflated Loss. GLOBECOM (Workshops) (2023)
Mahdi Barhoush, Ahmad Ayad, Anke Schmeink
Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications. ISADS (2023)
Ahmad Ayad, Mahdi Barhoush, Benedikt Völker, Steffen Leonhardt, Anke Schmeink
Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM. ICMLA (2023)
Ahmad Ayad, Marian Frei, Anke Schmeink
Efficient and Private ECG Classification on the Edge Using a Modified Split Learning Mechanism. ICHI (2022)
Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Bastian Leibe, Anke Schmeink
Radiopaths: Deep Multimodal Analysis on Chest Radiographs. Big Data (2022)
Ahmad Ayad, Melvin Renner, Anke Schmeink
Improving the Communication and Computation Efficiency of Split Learning for IoT Applications. GLOBECOM (2021)
Ahmad Ayad, Alireza Zamani, Anke Schmeink, Guido Dartmann
Design and Implementation of a Hybrid Anomaly Detection System for IoT. IoTSMS (2019)