Adnan Qayyum
Adnan Qayyum
University of Glasgow, United Kingdom & Information Technology University (ITU), Pakistan
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Cited by
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Medical image analysis using convolutional neural networks: a review
SM Anwar, M Majid, A Qayyum, M Awais, M Alnowami, MK Khan
Journal of medical systems 42 (11), 1-13, 2018
Medical image retrieval using deep convolutional neural network
A Qayyum, SM Anwar, M Awais, M Majid
Neurocomputing 266, 8-20, 2017
Secure and robust machine learning for healthcare: A survey
A Qayyum, J Qadir, M Bilal, A Al-Fuqaha
IEEE Reviews in Biomedical Engineering 14, 156-180, 2020
Securing connected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward
A Qayyum, M Usama, J Qadir, A Al-Fuqaha
IEEE Communications Surveys & Tutorials 22 (2), 998-1026, 2020
Machine learning for predicting epileptic seizures using EEG signals: A review
K Rasheed, A Qayyum, J Qadir, S Sivathamboo, P Kwan, L Kuhlmann, ...
IEEE Reviews in Biomedical Engineering 14, 139-155, 2020
Using Blockchain to Rein in The New Post-Truth World and Check The Spread of Fake News
A Qayyum, J Qadir, MU Janjua, F Sher
IT Professional 21 (4), 16-24, 2019
Cross lingual speech emotion recognition: Urdu vs. western languages
S Latif, A Qayyum, M Usman, J Qadir
2018 International Conference on Frontiers of Information Technology (FIT …, 2018
Collaborative federated learning for healthcare: Multi-modal covid-19 diagnosis at the edge
A Qayyum, K Ahmad, MA Ahsan, A Al-Fuqaha, J Qadir
arXiv preprint arXiv:2101.07511, 2021
Speech technology for healthcare: Opportunities, challenges, and state of the art
S Latif, J Qadir, A Qayyum, M Usama, S Younis
IEEE Reviews in Biomedical Engineering 14, 342-356, 2020
Mobile technologies for managing non-communicable diseases in developing countries
S Latif, MY Khan, A Qayyum, J Qadir, M Usman, SM Ali, QH Abbasi, ...
Mobile applications and solutions for social inclusion, 261-287, 2018
Black-box adversarial machine learning attack on network traffic classification
M Usama, A Qayyum, J Qadir, A Al-Fuqaha
2019 15th International Wireless Communications & Mobile Computing …, 2019
Quran reciter identification: A deep learning approach
A Qayyum, S Latif, J Qadir
2018 7th International Conference on Computer and Communication Engineering …, 2018
Caveat emptor: the risks of using big data for human development
S Latif, A Qayyum, M Usama, J Qadir, A Zwitter, M Shahzad
Ieee technology and society magazine 38 (3), 82-90, 2019
Securing machine learning in the cloud: A systematic review of cloud machine learning security
A Qayyum, A Ijaz, M Usama, W Iqbal, J Qadir, Y Elkhatib, A Al-Fuqaha
Frontiers in big Data 3, 587139, 2020
Exploring media bias and toxicity in south asian political discourse
A Qayyum, Z Gilani, S Latif, J Qadir
2018 12th international conference on open source systems and technologies …, 2018
Early student grade prediction: an empirical study
Z Iqbal, A Qayyum, S Latif, J Qadir
2019 2nd international conference on advancements in computational sciences …, 2019
EthReview: An Ethereum-based Product Review System for Mitigating Rating Frauds
M Zulfiqar, F Tariq, MU Janjua, AN Mian, A Qayyum, J Qadir, F Sher, ...
Computers & Security 100, 102094, 2021
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
RU Rasool, HF Ahmad, W Rafique, A Qayyum, J Qadir
Journal of Network and Computer Applications, 103332, 2022
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
K Rasheed, A Qayyum, M Ghaly, A Al-Fuqaha, A Razi, J Qadir
TechRxiv, 2021
Untrained neural network priors for inverse imaging problems: A survey
A Qayyum, I Ilahi, F Shamshad, F Boussaid, M Bennamoun, J Qadir
TechRxiv, mar 2, 2021
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