| Fully automated real time fatigue detection of drivers through fuzzy expert systems T Azim, MA Jaffar, AM Mirza Applied Soft Computing 18, 25-38, 2014 | 149 | 2014 |
| Knowledge Based Recommender System for Academia Using Machine Learning: A Case Study on Higher Education Landscape of Pakistan H Samin, T Azim IEEE Access 7, 67081-67093, 2019 | 68 | 2019 |
| Automatic fatigue detection of drivers through pupil detection and yawning analysis T Azim, MA Jaffar, AM Mirza 2009 fourth international conference on innovative computing, information …, 2009 | 64 | 2009 |
| Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics K Kuru, M Niranjan, Y Tunca, E Osvank, T Azim Artificial intelligence in medicine 62 (2), 105-118, 2014 | 50 | 2014 |
| Automatic fatigue detection of drivers through yawning analysis T Azim, MA Jaffar, M Ramzan, AM Mirza International Conference on Signal Processing, Image Processing, and Pattern …, 2009 | 26 | 2009 |
| SCANCPECLENS: A FrameWork for Automatic Lexicon Generation and Sentiment Analysis of MicroBlogging Data on China Pakistan Economic Corridor B Amina, T Azim IEEE Access 7 (1), 133876-133887, 2019 | 16 | 2019 |
| Inducing discrimination in biologically inspired models of visual scene recognition T Azim, M Niranjan 2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013 | 8 | 2013 |
| Detecting moments of change and suicidal risks in longitudinal user texts using multi-task learning T Azim, LG Singh, SE Middleton Proceedings of the Eighth Workshop on Computational Linguistics and Clinical …, 2022 | 7 | 2022 |
| Texture classification with Fisher kernel extracted from the continuous models of RBM T Azim, M Niranjan 2014 International Conference on Computer Vision Theory and Applications …, 2014 | 7 | 2014 |
| Compression Techniques for Deep Fisher Vectors S Ahmed, T Azim ICPRAM, 2017 | 6 | 2017 |
| Fisher kernels match deep models T Azim Electronics Letters 53 (6), 397-399, 2017 | 5 | 2017 |
| Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation S Shafiq, T Azim Peer Journal of Computer science, 2021 | 4 | 2021 |
| Composing Fisher Kernels from Deep Neural Models: A Practitioner's Approach T Azim, S Ahmed Springer Briefs in Computer Science, 2018 | 4 | 2018 |
| Visual scene recognition with biologically relevant generative models T Azim University of Southampton, 2014 | 3 | 2014 |
| Automatic fatigue detection of drivers through real time eye tracking T Azim, M Jaffar, A Mirza Proc. International Symposium on Management Engi-neering (ISME), Dalian, China, 2009 | 3 | 2009 |
| M., MA (2010). Real Time Fatigue Detection of Drivers Through Eye Closure Duration and Yawning Analysis AM Tayyaba, A Jaffar ICIC Express Letters 4 (3), 725-731, 0 | 3 | |
| Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task S Ahmed, T Azim IET Computer Vision 14 (8), 658-664, 2020 | 2 | 2020 |
| Condensing Deep Fisher Vectors: To Choose or to Compress? S Ahmed, T Azim Lecture Notes in Computer Science book series (LNCS) 10857, 80-98, 2018 | 2 | 2018 |
| Conversationmoc: Encoding conversational dynamics using multiplex network for identifying moment of change in mood and mental health classification LG Singh, SE Middleton, T Azim, E Nichele, P Lyu, SDO Garcia Proceedings of the Machine Learning for Cognitive and Mental Health Workshop …, 2024 | 1 | 2024 |
| Large Scale Image Retrieval and Its Challenges T Azim, S Ahmed Composing Fisher Kernels from Deep Neural Models, 33-46, 2018 | 1 | 2018 |
Anwar M. MirzaMcMaster UniversityZweryfikowany adres z mcmaster.ca
