Automatic Fatigue Detection of Drivers through Yawning Analysis. - Tayyaba Azim; M. Arfan Jaffar; Muhammad Ramzan; Anwar M. Mirza (FGIT-SIP, 2009)

Inducing discrimination in biologically inspired models of visual scene recognition. - Tayyaba Azim; Mahesan Niranjan (MLSP, 2013)

Computational Models of Object Recognition - Goal, Role and Success. - Tayyaba Azim; Mahesan Niranjan (VISAPP (1), 2014)

Texture Classification with Fisher Kernel Extracted from the Continuous Models of RBM. - Tayyaba Azim; Mahesan Niranjan (VISAPP (2), 2014)

Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics. - Kaya Kuru; Mahesan Niranjan; Yusuf Tunca; Erhan Osvank; Tayyaba Azim (Artif. Intell. Medicine, 2014)

Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems. - Tayyaba Azim; M. Arfan Jaffar; Anwar M. Mirza (Appl. Soft Comput., 2014)

Visual scene recognition with biologically relevant generative models. - Tayyaba Azim (2014)

Compression Techniques for Deep Fisher Vectors. - Sarah Ahmed; Tayyaba Azim (ICPRAM, 2017)

Condensing Deep Fisher Vectors: To Choose or to Compress? - Sarah Ahmed; Tayyaba Azim (ICPRAM (Revised Selected Papers), 2017)

Composing Fisher Kernels from Deep Neural Models - A Practitioner's Approach - Tayyaba Azim; Sarah Ahmed (Springer, 2018)

SCANCPECLENS: A Framework for Automatic Lexicon Generation and Sentiment Analysis of Micro Blogging Data on China Pakistan Economic Corridor. - Bibi Amina; Tayyaba Azim (IEEE Access, 2019)

Knowledge Based Recommender System for Academia Using Machine Learning: A Case Study on Higher Education Landscape of Pakistan. - Huma Samin; Tayyaba Azim (IEEE Access, 2019)

Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task. - Sarah Ahmed; Tayyaba Azim (IET Comput. Vis., 2020)

Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation. - Shakeel Shafiq; Tayyaba Azim (PeerJ Comput. Sci., 2021)

Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification. - Sarah Ahmed; Tayyaba Azim; Joseph Early; Sarvapali D. Ramchurn (BMVC, 2022)

Socio-Technical Trust For Multi-Modal Hearing Assistive Technology. - Jennifer Williams 001; Tayyaba Azim; Anna-Maria Piskopani; Alan Chamberlain; Shuo Zhang (ICASSP Workshops, 2023)

ConversationMoC: Encoding Conversational Dynamics using Multiplex Network for Identifying Moment of Change in Mood and Mental Health Classification. - Loitongbam Gyanendro Singh; Stuart E. Middleton; Tayyaba Azim; Elena Nichele; Pinyi Lyu; Santiago De Ossorno Garcia (ML4CMH@AAAI, 2024)

Predicting Acute Pain Levels Implicitly from Vocal Features. - Jennifer Williams 001; Eike Schneiders; Henry Card; Tina Seabrooke; Beatrice Pakenham-Walsh; Tayyaba Azim; Lucy Valls-Reed; Ganesh Vigneswaran; John Robert Bautista; Rohan Chandra; Arya Farahi (INTERSPEECH, 2024)

Insights from explainable AI in oesophageal cancer team decisions. - Navamayooran Thavanesan; Arya Farahi; Charlotte Parfitt; Zehor Belkhatir; Tayyaba Azim; Elvira Perez Vallejos; Zoë Walters; Sarvapali D. Ramchurn; Timothy J. Underwood; Ganesh Vigneswaran (Comput. Biol. Medicine, 2024)