Tayyaba Azim

University of Southampton — United Kingdom

Computer Science · Physical Sciences

7h-index385citations38works0.92yr avg
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Research Topics

Neural Networks and Applications(9), Advanced Image and Video Retrieval Techniques(8), Face and Expression Recognition(5), Generative Adversarial Networks and Image Synthesis(5), Image Retrieval and Classification Techniques(4)

Publications38 total

Response to call for input for EMRTD Study “Artificial Intelligence, Cultural Rights, and the Right to Development”
Repository@Nottingham (University of Nottingham)·2026Open Access
Back to the Communities: A Mixed-Methods and Community-Driven Evaluation of Cultural Sensitivity in Text-to-Image Models
arXiv (Cornell University)·2025Open Access
Oesophageal cancer multi-disciplinary tool: a co-designed, externally validated, machine learning tool for oesophageal cancer decision making
EClinicalMedicine·2025· 1 citedOpen Access
Public perceptions of speech technology trust in the United Kingdom
Computer Speech & Language·2025Open Access
102. THE OESOPHAGEAL CANCER MULTI-DISCIPLINARY TOOL: A RESPONSIBLY CO-DESIGNED, EXTERNALLY VALIDATED, MACHINE LEARNING CLINICAL DECISION-SUPPORT SYSTEM
Diseases of the Esophagus·2025Open Access
Predicting Acute Pain Levels Implicitly from Vocal Features
2024· 3 citedOpen Access
Insights from explainable AI in oesophageal cancer team decisions
Computers in Biology and Medicine·2024· 4 citedOpen Access
Low-cost automated image based rutting identification and measurement
2024
Public Perceptions of Speech Technology Trust in the United Kingdom
SSRN Electronic Journal·2024Open Access
Socio-Technical Trust For Multi-Modal Hearing Assistive Technology
2023· 4 citedOpen Access
Risk Factors Leading to Meconium Aspiration Syndrome in Meconium-Stained Amniotic Fluid
Journal of Gandhara Medical and Dental Science·2023Open Access
Detecting Moments of Change and Suicidal Risks in Longitudinal User Texts Using Multi-task Learning
2022· 7 citedOpen Access
Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation
PeerJ Computer Science·2021· 5 citedOpen Access
Peer Review #1 of "Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation (v0.1)"
2021Open Access
Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task
IET Computer Vision·2020· 1 citedOpen Access
FREQUENCY OF COMMON CLINICAL SYMPTOMS IN WOMEN WITH UTERINE FIBROID
Journal of Khyber College of Dentistry·2019Open Access
Knowledge Based Recommender System for Academia Using Machine Learning: A Case Study on Higher Education Landscape of Pakistan
IEEE Access·2019· 75 citedOpen Access
SCANCPECLENS: A Framework for Automatic Lexicon Generation and Sentiment Analysis of Micro Blogging Data on China Pakistan Economic Corridor
IEEE Access·2019· 19 citedOpen Access
Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach
2018
Composing Fisher Kernels from Deep Neural Models
SpringerBriefs in computer science·2018· 1 cited
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Frequent Co-authors

Sarah Ahmed(10), Mahesan Niranjan(4), Elvira Pérez Vallejos(4), Sarvapali D. Ramchurn(4), Ganesh Vigneswaran(4), M. Arfan Jaffar(3), Anwar M. Mirza(3), Jennifer Williams(3), Zoë S. Walters(3), Tim Underwood(3), Shakeel Shafiq(2), Anna-Maria Piskopani(2), Navamayooran Thavanesan(2), Charlotte Parfitt(2), Zehor Belkhatir(2), Mohammad Naiseh(2), Miguel Terol(2), Saqib Rahman(2), Samuel L. Hill(2), Nick Maynard(2)