Multi-task learning model based on recurrent convolutional neural networks for citation sentiment and purpose classification. - Abdallah Yousif; Zhendong Niu; James Chambua; Zahid Younas Khan (Neurocomputing, 2019)

Joint Deep Recommendation Model Exploiting Reviews and Metadata Information. - Zahid Younas Khan; Zhendong Niu; Abdallah Yousif (Neurocomputing, 2020)

Deep learning techniques for rating prediction: a survey of the state-of-the-art. - Zahid Younas Khan; Zhendong Niu; Sulis Sandiwarno; Rukundo Prince (Artif. Intell. Rev., 2021)

A Deep Hybrid Model for Recommendation by jointly leveraging ratings, reviews and metadata information. - Zahid Younas Khan; Zhendong Niu; Ally S. Nyamawe; Ijaz Ul Haq (Eng. Appl. Artif. Intell., 2021)

CNN with depthwise separable convolutions and combined kernels for rating prediction. - Zahid Younas Khan; Zhendong Niu (Expert Syst. Appl., 2021)

A Machine learning-based prediction model for the heart diseases from chance factors through two-variable decision tree classifier. - Y. Wang; Y. M. Chu; Yousef Ali Khan; Zahid Younas Khan; Qianning Liu; M. Y. Malik; Syed Zaheer Abbas (J. Intell. Fuzzy Syst., 2021)

COVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms. - Rukundo Prince; Zhendong Niu; Zahid Younas Khan; Masabo Emmanuel; Niyishaka Patrick (BMC Bioinform., 2024)

Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network. - Rukundo Prince; Zhendong Niu; Zahid Younas Khan; James Chambua; Abdallah Yousif; Niyishaka Patrick; Jennifer Batamuliza (Comput. Biol. Medicine, 2025)