Single image magnification with edge enhancement. - Naveed Sarfaraz Khattak; Tabinda Sarwar; Fahim Arif (ISSPIT, 2013)

Super-Resolution Using Edge Modification through Stationary Wavelet Transform. - Fahim Arif; Tabinda Sarwar (IV, 2014)

Wavelet denoising of multiframe optical coherence tomography data using similarity measures. - Wajiha Habib; Tabinda Sarwar; Adil Masood Siddiqui; Imran Touqir (IET Image Process., 2017)

Learning Vehicle Routing Problems using Policy Optimisation. - Nasrin Sultana; Jeffrey Chan; A. Kai Qin; Tabinda Sarwar (CoRR, 2020)

Towards deep learning for connectome mapping: A block decomposition framework. - Tabinda Sarwar; Caio Seguin; Kotagiri Ramamohanarao; Andrew Zalesky (NeuroImage, 2020)

Mapping the structural connectome and predicting functional connectivity with deep learning methods. - Tabinda Sarwar (2020)

Learning to Optimise Routing Problems using Policy Optimisation. - Nasrin Sultana; Jeffrey Chan; Tabinda Sarwar; A. Kai Qin (IJCNN, 2021)

Learning Enhanced Optimisation for Routing Problems. - Nasrin Sultana; Jeffrey Chan; Tabinda Sarwar; Babak Abbasi; A. Kai Qin (CoRR, 2021)

Physical and digital phantoms for validating tractography and assessing artifacts. - Ivana Drobnjak; Peter Neher; Cyril Poupon; Tabinda Sarwar (NeuroImage, 2021)

Structure-function coupling in the human connectome: A machine learning approach. - Tabinda Sarwar; Ye Tian 031; B. T. Thomas Yeo; Kotagiri Ramamohanarao; Andrew Zalesky (NeuroImage, 2021)

Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems. - Nasrin Sultana; Jeffrey Chan; Tabinda Sarwar; Alex Kai Qin (CoRR, 2022)

Learning to optimise general TSP instances. - Nasrin Sultana; Jeffrey Chan; Tabinda Sarwar; A. Kai Qin (Int. J. Mach. Learn. Cybern., 2022)

The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges. - Tabinda Sarwar; Sattar Seifollahi; Jeffrey Chan; Xiuzhen Zhang 001; Vural Aksakalli; Irene Lena Hudson; Karin Verspoor; Lawrence Cavedon (ACM Comput. Surv., 2023)

Evaluation of tractogram filtering methods using human-like connectome phantoms. - Tabinda Sarwar; Kotagiri Ramamohanarao; Alessandro Daducci; Simona Schiavi; Robert E. Smith 002; Andrew Zalesky (NeuroImage, 2023)

Long-range Brain Graph Transformer. - Shuo Yu 001; Shan Jin 003; Ming Li; Tabinda Sarwar; Feng Xia 001 (NeurIPS, 2024)

Learning to guide local search optimisation for routing problems. - Nasrin Sultana; Jeffrey Chan; Babak Abbasi; Tabinda Sarwar; Alex Kai Qin (Oper. Res. Lett., 2024)

Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models. - Tabinda Sarwar; Antonio José Jimeno-Yepes; Lawrence Cavedon (CoRR, 2025)

Deep Contrastive Unlearning for Language Models. - Estrid He; Tabinda Sarwar; Ibrahim Khalil 001; Xun Yi; Ke Wang 007 (CoRR, 2025)