Z. Khan, U. T. Alvi, M. A. Tahir, S. Memon, Medical Diagnostic by Data Bagging for Various Instances of Neural Network, ICPR International Workshops and Challenge, 2021
M. S. Afzal and M. A. Tahir, Reinforcement Learning based Video Summarization with Combination of ResNet and Gated Recurrent Unit, In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021
Y Zahid, M A Tahir, M N Durrani, Ensemble learning using bagging and inception-V3 for anomaly detection in surveillance videos, IEEE International Conference on Image Processing (ICIP), 588-592, 2020
M Waqas, Z Khan, S Anjum, M A Tahir, Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning, CEUR Workshop Proceedings, Thessaloniki, Greece, CLEF2020 Working Notes
F H Syed, M R Shah, M A Tahir, Improved Single Target Accuracy Using Feature Selection for Multitarget Regression, International Conference on Emerging Trends in Smart Technologies, 2020
M Khan, M A Tahir, Z Ahmed, Detection of violent content in cartoon videos using multimedia content detection techniques, IEEE 21st International Multi-Topic Conference (INMIC), 2018
S Nadeem, M A Tahir, S S A Naqvi, M Zaid, Ensemble of Texture and Deep Learning Features for Finding Abnormalities in the Gastro-Intestinal Tract, International Conference on Computational Collective Intelligence, 469-478, 2018 (Nominated as Best Paper)
Z Khan, M A Tahir, Majority voting of Heterogeneous Classifiers for finding abnormalities in the Gastro-Intestinal Tract, Proc. of the MediaEval Workshop, 2018
M Hanif, MA Tahir, M Rafi, Detection of passable roads using Ensemble of Global and Local Features, Proc. of the MediaEval Workshop, 2018
M Hanif, MA Tahir, M Khan, M Rafi, Flood detection using Social Media Data and Spectral Regression based Kernel Discriminant Analysis, Proc. of the MediaEval Workshop, Dublin, Ireland, 2017
SSA Naqvi, S Nadeem, M Zaid, MA Tahir, Ensemble of Texture Features for Finding Abnormalities in the Gastro-Intestinal Tract, Proc. of the MediaEval Workshop, Dublin, Ireland, 2017
M A Omar, M A Tahir, F Khelifi, Multi-label learning model for improving retinal image classification in diabetic retinopathy, 4th International Conference on Control, Decision and Information Technologies (CoDIT), 2017
F A Khan, M A Tahir, F Khelifi, and A Bouridane, Offline text independent writer identification using ensemble of multi-scale local ternary pattern histograms, 6th European Workshop on Visual Information Processing (EUVIP), 2016
F Mehboob, M Abbas, R Jiang, M A Tahir, S Al-Maadeed, A Bouridane, Automated vehicle density estimation from raw surveillance videos, SAI Computing Conference (SAI), 2016, 1024-1030, 2016
A Dreder, M A Tahir, H Seker, M N Anwar, Majority voting approach for the identification of differentially expressed genes to understand gender-related skeletal muscle aging, AIRCC, 53, 237-244, 2016
M Omar, F Khelifi, and M A Tahir, Detection and classification of retinal fundus images exudates using region based multiscale LBP texture approach, International Conference on Control, Decision and Information Technologies (CoDIT), 2016
O F Ogutcen, Z Gormez, M A Tahir, and H Seker, An Aggregated Cross-Validation Framework for Computational Discovery of Disease-Associative Genes, 14th Mediterranean Conference on Medical and Biological Engineering and Computing 2016
M A Tahir, E Khan and A. Al Salam, Medical text categorization using SEBLA and Kernel Discriminant Analysis, 2nd World Symosium on Web Applications and Networking, 2015
M A Tahir, A Jamsheed, H. Rehman, and Y. Daadaa, ” Dynamic QoS Multicasting using Greedy Approach and Fuzzy-based Tabu Search, International Conference International Conference on Advanced Learning Technologies and Education “, 2014
M K Shaikh, M A Tahir and A Bouridane, “Tied Factor Analysis using Bagging for Heterogeneous Face Recognition”, EUVIP 2014
M K Shaikh, M A Tahir and A Bouridane, “Probabilistic Linear Discriminant Analysis for Intermodality Recognition “, In Proceedings of IEEE ICASSP, 2014
E Khalifa, Al-Maadeed, M A Tahir, F Khelifil and A Bouridane, “Off-line Writer Identification using Multi-scale Local Binary Patterns and SR-KDA”, In Proceedings of IEEE ICM, 2013
M. A. Tahir, J. Kittler, and A. Bouridane, “Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification”, In Proceedings of the Multiple Classifier Systems, 2013
M. A. Tahir and A. Bouridane, “Face Recognition using Kernel Collaborative Representation and Multiscale Local Binary Patterns”, IET Image Processing Conference, London, 2012
M. A. Tahir, C. Chan, J. Kittler and A. Bouridane, “Face Recognition using Multi-Scale Local Phase Quantisation and Linear Regression Classifier”, IEEE International Conference on Image Processing, Brussels, Belgium, 2011
M. A. Tahir, ,F. Yan, M. Barnard, M. Awais, K. Mikolajczyk, J. Kittler, “The University of Surrey Visual Concept Detection System at ImageCLEF 2010: Working Notes”, International Conference on Pattern Recognition (ICPR2010), Istanbul, Turkey
C. Chan, J. Kittler and M. A. Tahir, “Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition”, In Proceedings of Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, 2010
M. A. Tahir, J. Kittler, K. Mikolajczyk, and F. Yan. “Improving Multilabel classification using Ensemble of Multi-label classifiers”, In Proceedings of the 9th International Workshop on Multiple Classifier Systems, Cairo, Egypt, 2010
F. Yan, K. Mikolajczyk, J. Kittler, and M. A. Tahir. “Combining Multiple Kernels by Augmenting the Kernel Matrix”, In Proceedings of the 9th International Workshop on Multiple Classifier Systems, Cairo, Egypt, 2010
F. Yan, K. Mikolajczyk, J. Kittler, and M. A. Tahir, “Non-Sparse Multiple Kernel Learning for Linear Discriminant Analysis”, In Proceedings of the International Conference on Data Mining (ICDM 09), Florida, USA.
M. A. Tahir, J. Kittler, K. Mikolajczyk, F. Yan, K. Sande, and T. Gevers “Visual Category Recognition Using Spectral Regression and Kernel Discriminant Analysis”. In Proceedings of the Subspace 2009 in conjunction with 12th IEEE International Conference on Computer Vision, Kyoto, Japan, 2009
M. A. Tahir, J. Kittler, K. Mikolajczyk, and F. Yan, “Concept learning for Image and Video Retrieval: The inverse random under sampling approach”. In Proceedings of the 17th European Conference on Signal Processing (EUSIPCO 2009), Glasgow, United Kingdom, 2009.
M. A. Tahir, J. Kittler, F. Yan, and K. Mikolajczyk. “Kernel discriminant analysis using triangular kernel for semantic scene classification”. In Proceedings of the 7th IEEE International Workshop on Content-Based Multimedia Indexing, Crete, Greece, 2009.
F. Yan, K. Mikolajczyk, J. Kittler, and M. A. Tahir. “A comparison of 1-norm and 2-norm multiple kernel SVMs in image and video classification”. In Proceedings of the 7th IEEE International Workshop on Content-Based Multimedia Indexing, Crete, Greece, 2009.
M. A. Tahir, J. Kittler, K. Mikolajczyk, and F. Yan. “A multiple expert approach to the class imbalance problem using inverse random under sampling”. In Proceedings of the 8th International Workshop on Multiple Classifier Systems, Reykjavik, Iceland, 2009.
E Lughofer, J. E. Smith, M. A. Tahir, P. Caleb-Solly, C. Eitzinge, D. Sannen, H. V. Brussel. “On Human-Machine Interaction during Online Image Classifier Training”, In Proc. of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA), Vienna, 2008
M. A. Tahir, J. Smith and C. Praminda, “A Novel Feature Selection based Semi-Supervised method for Image Classification”, Proceedings of the 6th International Conference on Computer Vision Systems, Greece, 2008.
D. Sannen, M. Nuttin, J. Smith, C. Praminda, M. A. Tahir, E. Christian, and E. Lughofer, “An On-Line Interactive Self-Adaptive Image Classification Framework”, Proceedings of 6th International Conference on Computer Vision Systems, Greece, 2008.
J. E. Smith and M. A. Tahir, “Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications”, Proceedings of the 8th International Conference on Data Engineering and Automated Learning (IDEAL’07), Birmingham, UK, 2007.
M. A. Tahir, and J. Smith, “Improving Nearest Neighbor Classifier using Tabu Search and Ensemble Distance Metrics”, IEEE International Conference on Data Mining (ICDM), Hong Kong, 2006.
M. A. Tahir, and A. Bouridane, “An FPGA based coprocessor for cancer classification using nearest neighbour classifier”, Proceedings of the 31st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, 2006.
M. A. Tahir, A. Bouridane, F. Kurugollu, and A. Amira, “Accelerating the Computation of GLCM and Haralick Texture Features on Reconfigurable Hardware”, Proceedings of the IEEE International Conference on Image Processing (ICIP), Singapore, Vol. 5, 2857-2860, October 2004.
M. A. Tahir, A. Bouridane, F. Kurugollu, and A. Amira, “Feature Selection using Tabu Search for Improving the Classification Rate of Prostate Needle Biopsies”, Proceedings of the 17th International Conference on Pattern Recognition (ICPR), Cambridge, UK, Vol. 2, pp. 335-338, August 2004.
M. A. Tahir, A. Bouridane, and F. Kurugollu. “Simultaneous Feature Selection and Weighting for Nearest Neighbor Using Tabu Search”, 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’04), Lecture Notes in Computer Science, LNCS 3177, pp 390-395, Springer Verlag, August 2004.
M. A. Tahir, A. Bouridane, and F. Kurugollu. “An FPGA based Coprocessor for the Classification of Tissue Patterns in Prostatic Cancer”, 14th International Conference on Field Programmable Logic and its Applications (FPL), Lecture Notes in Computer Science, LNCS 3203, pp 771-780, Springer Verlag, August /September 2004.
M. A. Tahir, A. Bouridane, F. Kurugollu, and A. Amira, “Improving Prostate Cancer Diagnosis Using Tabu Search”, IEE Proceedings of the Irish Signals and Systems Conference (ISSC), Belfast, UK, 2004.
M. A. Tahir, A. Bouridane, F. Kurugollu, and A. Amira, “An FPGA based coprocessor for calculating grey level co-occurrence matrix’’, Proceedings of the 46th IEEE International Midwest Symposium on Circuits and Systems (MWCAS), Cairo, Egypt, 2003.
M. A. Tahir, M. A. Roula, A. Bouridane, F. Kurugollu, and A. Amira, “An FPGA based co-processor for GLCM texture features measurement”, Proceedings of the 10th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Sharjah, UAE, vol 3, 1006-1009, 2003.
M. A Tahir, Habib Youssef, A. Almulhem, and Sadiq M. Sait, “Fuzzy based MultiObjective Multicast Routing using Tabu Search”, Proceedings of the International Conference on Internet Computing (IC2002), Las Vegas, Nevada, USA, 2002.
H. Youssef, A. Almulhem, S. M. Sait, M. A. Tahir, “QoS-Driven Multicast Tree Generation using Tabu Search”, Proceedings of the 2001 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), Orlando, Florida, USA, 2001.
M. A Tahir, H. Youssef, A. Almulhem, S. M. Sait “Multicast Tree Search”, Generation using Tabu Proceedings of the Sixth Saudi Engineering Conference, KFUPM, Dhahran, Saudi Arabia, 2002.
