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Tayyaba Azim
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2020 – today
- 2024
- [j7]Navamayooran Thavanesan, Arya Farahi, Charlotte Parfitt, Zehor Belkhatir, Tayyaba Azim, Elvira Perez Vallejos, Zoë Walters, Sarvapali D. Ramchurn, Timothy J. Underwood, Ganesh Vigneswaran:
Insights from explainable AI in oesophageal cancer team decisions. Comput. Biol. Medicine 180: 108978 (2024) - [c9]Loitongbam Gyanendro Singh, Stuart E. Middleton, Tayyaba Azim, Elena Nichele, Pinyi Lyu, Santiago De Ossorno Garcia:
ConversationMoC: Encoding Conversational Dynamics using Multiplex Network for Identifying Moment of Change in Mood and Mental Health Classification. ML4CMH@AAAI 2024: 42-56 - 2023
- [c8]Jennifer Williams, Tayyaba Azim, Anna-Maria Piskopani, Alan Chamberlain, Shuo Zhang:
Socio-Technical Trust For Multi-Modal Hearing Assistive Technology. ICASSP Workshops 2023: 1-5 - 2022
- [c7]Sarah Ahmed, Tayyaba Azim, Joseph Early, Sarvapali D. Ramchurn:
Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification. BMVC 2022: 900 - 2021
- [j6]Shakeel Shafiq, Tayyaba Azim:
Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation. PeerJ Comput. Sci. 7: e497 (2021) - 2020
- [j5]Sarah Ahmed, Tayyaba Azim:
Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task. IET Comput. Vis. 14(8): 658-664 (2020)
2010 – 2019
- 2019
- [j4]Huma Samin, Tayyaba Azim:
Knowledge Based Recommender System for Academia Using Machine Learning: A Case Study on Higher Education Landscape of Pakistan. IEEE Access 7: 67081-67093 (2019) - [j3]Bibi Amina, Tayyaba Azim:
SCANCPECLENS: A Framework for Automatic Lexicon Generation and Sentiment Analysis of Micro Blogging Data on China Pakistan Economic Corridor. IEEE Access 7: 133876-133887 (2019) - 2018
- [b2]Tayyaba Azim, Sarah Ahmed:
Composing Fisher Kernels from Deep Neural Models - A Practitioner's Approach. Springer Briefs in Computer Science, Springer 2018, ISBN 978-3-319-98523-7, pp. 1-59 - 2017
- [c6]Sarah Ahmed, Tayyaba Azim:
Condensing Deep Fisher Vectors: To Choose or to Compress? ICPRAM (Revised Selected Papers) 2017: 80-98 - [c5]Sarah Ahmed, Tayyaba Azim:
Compression Techniques for Deep Fisher Vectors. ICPRAM 2017: 217-224 - 2014
- [b1]Tayyaba Azim:
Visual scene recognition with biologically relevant generative models. University of Southampton, UK, 2014 - [j2]Kaya Kuru, Mahesan Niranjan, Yusuf Tunca, Erhan Osvank, Tayyaba Azim:
Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics. Artif. Intell. Medicine 62(2): 105-118 (2014) - [j1]Tayyaba Azim, M. Arfan Jaffar, Anwar M. Mirza:
Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems. Appl. Soft Comput. 18: 25-38 (2014) - [c4]Tayyaba Azim, Mahesan Niranjan:
Computational Models of Object Recognition - Goal, Role and Success. VISAPP (1) 2014: 179-186 - [c3]Tayyaba Azim, Mahesan Niranjan:
Texture Classification with Fisher Kernel Extracted from the Continuous Models of RBM. VISAPP (2) 2014: 684-690 - 2013
- [c2]Tayyaba Azim, Mahesan Niranjan:
Inducing discrimination in biologically inspired models of visual scene recognition. MLSP 2013: 1-6
2000 – 2009
- 2009
- [c1]Tayyaba Azim, M. Arfan Jaffar, Muhammad Ramzan, Anwar M. Mirza:
Automatic Fatigue Detection of Drivers through Yawning Analysis. FGIT-SIP 2009: 125-132
Coauthor Index
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