Tayyaba Azim

According to our database, Tayyaba Azim authored at least 17 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024

2023

Socio-Technical Trust For Multi-Modal Hearing Assistive Technology.

Jennifer Williams, Tayyaba Azim, Anna-Maria Piskopani, Alan Chamberlain, Shuo Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification.

Sarah Ahmed, Tayyaba Azim, Joseph Early, Sarvapali D. Ramchurn

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation.

Shakeel Shafiq, Tayyaba Azim

PeerJ Comput. Sci., 2021

2020

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

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

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

2018

Composing Fisher Kernels from Deep Neural Models - A Practitioner's Approach

Tayyaba Azim, Sarah Ahmed

Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-98523-7, 2018

2017

Condensing Deep Fisher Vectors: To Choose or to Compress?

Sarah Ahmed, Tayyaba Azim

Proceedings of the Pattern Recognition Applications and Methods, 2017

Compression Techniques for Deep Fisher Vectors.

Sarah Ahmed, Tayyaba Azim

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2014

Visual scene recognition with biologically relevant generative models.

Tayyaba Azim

PhD thesis, 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

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

Texture Classification with Fisher Kernel Extracted from the Continuous Models of RBM.

Tayyaba Azim, Mahesan Niranjan

Proceedings of the VISAPP 2014, 2014

Computational Models of Object Recognition - Goal, Role and Success.

Tayyaba Azim, Mahesan Niranjan

Proceedings of the VISAPP 2014, 2014

2013

Inducing discrimination in biologically inspired models of visual scene recognition.

Tayyaba Azim, Mahesan Niranjan

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2009

Automatic Fatigue Detection of Drivers through Yawning Analysis.

Tayyaba Azim, M. Arfan Jaffar, Muhammad Ramzan, Anwar M. Mirza

Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2009