4 citations · 7 across the 3 of their papers we have counts for
9 papers
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan +2
Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent se…
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
Muhammad Ahtazaz Ahsan, Adnan Qayyum, Junaid Qadir +1
In recent years, deep learning (DL) techniques have provided state-of-the-art performance on different medical imaging tasks. However, the availability of good quality annotated me…
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir +5
With the advancement in artificial intelligence (AI) and machine learning (ML) techniques, researchers are striving towards employing these techniques for advancing clinical practi…
Secure and Robust Machine Learning for Healthcare: A Survey
Adnan Qayyum, Junaid Qadir, Muhammad Bilal +1
Recent years have witnessed widespread adoption of machine learning (ML)/deep learning (DL) techniques due to their superior performance for a variety of healthcare applications ra…
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
Adnan Qayyum, Muhammad Usama, Junaid Qadir +1
Connected and autonomous vehicles (CAVs) will form the backbone of future next-generation intelligent transportation systems (ITS) providing travel comfort, road safety, along with…
Caveat emptor: the risks of using big data for human development
Siddique Latif, Adnan Qayyum, Muhammad Usama +3
Big data revolution promises to be instrumental in facilitating sustainable development in many sectors of life such as education, health, agriculture, and in combating humanitaria…