Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique. - Muhammad Arsalan; Aqsa Saeed Qureshi; Asifullah Khan; Muttukrishnan Rajarajan (Appl. Soft Comput., 2017)

Wind power prediction using deep neural network based meta regression and transfer learning. - Aqsa Saeed Qureshi; Asifullah Khan; Aneela Zameer; Anila Usman (Appl. Soft Comput., 2017)

Adaptive transfer learning in deep neural networks: Wind power prediction using knowledge transfer from region to region and between different task domains. - Aqsa Saeed Qureshi; Asifullah Khan (Comput. Intell., 2019)

Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique. - Muhammad Furqan Rafique; Muhammad Ali; Aqsa Saeed Qureshi; Asifullah Khan; Anwar Majid Mirza (CoRR, 2019)

A survey of the recent architectures of deep convolutional neural networks. - Asifullah Khan; Anabia Sohail; Umme Zahoora; Aqsa Saeed Qureshi (Artif. Intell. Rev., 2020)

Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture. - Aqsa Saeed Qureshi; Asifullah Khan; Muhammad Waleed Khan (CoRR, 2020)

Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks. - Muhammad Abbas; Asifullah Khan; Aqsa Saeed Qureshi; Muhammad Waleed Khan (CoRR, 2020)

Intrusion detection using deep sparse auto-encoder and self-taught learning. - Aqsa Saeed Qureshi; Asifullah Khan; Nauman Shamim; Muhammad Hanif Durad (Neural Comput. Appl., 2020)

A recent survey on the applications of genetic programming in image processing. - Asifullah Khan; Aqsa Saeed Qureshi; Noorul Wahab; Mutawarra Hussain; Muhammad Yousaf Hamza (Comput. Intell., 2021)

Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Classification in Imbalanced Data Sets. - Aqsa Saeed Qureshi; Teemu Roos (CoRR, 2021)

Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets. - Aqsa Saeed Qureshi; Teemu Roos (Neural Process. Lett., 2023)