Tayyaba Azim

21 papers A 2C 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Public perceptions of speech technology trust in the United Kingdom.
Comput. Speech Lang.
Jennifer Williams, Tayyaba Azim, Anna-Maria Piskopani, Richard Hyde, Shuo Zhang, Zack Hodari
2025 J jnl
Back to the Communities: A Mixed-Methods and Community-Driven Evaluation of Cultural Sensitivity in Text-to-Image Models.
CoRR
Sarah Kiden, Oriane Peter, Gisela Reyes-Cruz, Maira Klyshbekova, Sena Choi, Aislinn Gomez Bergin, Maria Waheed, Damian Eke, Tayyaba Azim, Sarvapali D. Ramchurn, Sebastian Stein, Elvira Perez Vallejos, Kate Devlin, Joel E. Fischer
2024 — conf
ConversationMoC: Encoding Conversational Dynamics using Multiplex Network for Identifying Moment of Change in Mood and Mental Health Classification.
ML4CMH@AAAI
Loitongbam Gyanendro Singh, Stuart E. Middleton, Tayyaba Azim, Elena Nichele, Pinyi Lyu, Santiago de Ossorno Garcia
2024 J jnl
Insights from explainable AI in oesophageal cancer team decisions.
Comput. Biol. Medicine
Navamayooran Thavanesan, Arya Farahi, Charlotte Parfitt, Zehor Belkhatir, Tayyaba Azim, Elvira Perez Vallejos, Zoë Walters, Sarvapali D. Ramchurn, Timothy J. Underwood, Ganesh Vigneswaran
2024 A conf
Predicting Acute Pain Levels Implicitly from Vocal Features.
INTERSPEECH
Jennifer Williams, Eike Schneiders, Henry Card, Tina Seabrooke, Beatrice Pakenham-Walsh, Tayyaba Azim, Lucy Valls-Reed, Ganesh Vigneswaran, John Robert Bautista, Rohan Chandra, Arya Farahi
2023 — conf
Socio-Technical Trust For Multi-Modal Hearing Assistive Technology.
ICASSP Workshops
Jennifer Williams, Tayyaba Azim, Anna-Maria Piskopani, Alan Chamberlain, Shuo Zhang
2022 A conf
Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification.
BMVC
Sarah Ahmed, Tayyaba Azim, Joseph Early, Sarvapali D. Ramchurn
2021 J jnl
Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation.
PeerJ Comput. Sci.
Shakeel Shafiq, Tayyaba Azim
2020 J jnl
Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task.
IET Comput. Vis.
Sarah Ahmed, Tayyaba Azim
2019 J jnl
Knowledge Based Recommender System for Academia Using Machine Learning: A Case Study on Higher Education Landscape of Pakistan.
IEEE Access
Huma Samin, Tayyaba Azim
2019 J jnl
SCANCPECLENS: A Framework for Automatic Lexicon Generation and Sentiment Analysis of Micro Blogging Data on China Pakistan Economic Corridor.
IEEE Access
Bibi Amina, Tayyaba Azim
2018 — book
Composing Fisher Kernels from Deep Neural Models - A Practitioner's Approach
Tayyaba Azim, Sarah Ahmed
2017 C conf
Compression Techniques for Deep Fisher Vectors.
ICPRAM
Sarah Ahmed, Tayyaba Azim
2017 — conf
Condensing Deep Fisher Vectors: To Choose or to Compress?
ICPRAM (Revised Selected Papers)
Sarah Ahmed, Tayyaba Azim
2014 J jnl
Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics.
Artif. Intell. Medicine
Kaya Kuru, Mahesan Niranjan, Yusuf Tunca, Erhan Osvank, Tayyaba Azim
2014 — conf
Computational Models of Object Recognition - Goal, Role and Success.
VISAPP (1)
Tayyaba Azim, Mahesan Niranjan
2014 J jnl
Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems.
Appl. Soft Comput.
Tayyaba Azim, M. Arfan Jaffar, Anwar M. Mirza
2014 — conf
Texture Classification with Fisher Kernel Extracted from the Continuous Models of RBM.
VISAPP (2)
Tayyaba Azim, Mahesan Niranjan
2014 — —
Visual scene recognition with biologically relevant generative models.
Tayyaba Azim
2013 — conf
Inducing discrimination in biologically inspired models of visual scene recognition.
MLSP
Tayyaba Azim, Mahesan Niranjan
2009 — conf
Automatic Fatigue Detection of Drivers through Yawning Analysis.
FGIT-SIP
Tayyaba Azim, M. Arfan Jaffar, Muhammad Ramzan, Anwar M. Mirza