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ORCIDMuhammad Atif Tahir
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2020 – today
- 2025
[j38]Farhan Dhanani, Muhammad Rafi, Muhammad Atif Tahir:
Tickling translations: Small but mighty open-sourced transformers bring English PUN-ny entities to life in French! Comput. Speech Lang. 90: 101739 (2025)- 2024
- [j37]Muhammad Waqas
, Syed Umaid Ahmed, Muhammad Atif Tahir, Jia Wu, Rizwan Qureshi:
Exploring Multiple Instance Learning (MIL): A brief survey. Expert Syst. Appl. 250: 123893 (2024) - [j36]Mohamed Albashir Omar, Fouad Khelifi, Muhammad Atif Tahir:
Exudate and drusen classification in retinal images using bagged colour vector angles and inter colour local binary patterns. Multim. Tools Appl. 83(17): 51809-51833 (2024) - [j35]Muhammad Waqas, Muhammad Atif Tahir, Muhammad Danish Author, Somaya Al-Máadeed, Ahmed Bouridane, Jia Wu:
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer. Neural Comput. Appl. 36(12): 6659-6680 (2024) - 2023
- [j34]Farrukh Hasan Syed, Muhammad Atif Tahir, Jaroslav Frnda, Muhammad Rafi, Muhammad Shahid Anwar, Jan Nedoma:
Toward an Optimal and Structured Feature Subset Selection for Multi-Target Regression Using Genetic Algorithm. IEEE Access 11: 121966-121977 (2023) - [j33]Muhammad Waqas, Muhammad Atif Tahir, Rizwan Qureshi:
Deep Gaussian mixture model based instance relevance estimation for multiple instance learning applications. Appl. Intell. 53(9): 10310-10325 (2023) - [j32]Muhammad Waqas, Muhammad Atif Tahir, Salman A. Khan:
Robust bag classification approach for multi-instance learning via subspace fuzzy clustering. Expert Syst. Appl. 214: 119113 (2023) - [j31]Zeshan Khan, Muhammad Atif Tahir:
Real time anatomical landmarks and abnormalities detection in gastrointestinal tract. PeerJ Comput. Sci. 9: e1685 (2023) - [j30]Syed Umaid Ahmed, Junaid Shuja, Muhammad Atif Tahir:
Leaf classification on Flavia dataset: A detailed review. Sustain. Comput. Informatics Syst. 40: 100907 (2023) - [c59]Farhan Dhanani, Muhammad Rafi, Muhammad Atif Tahir:
Humour Translation with Transformers. CLEF 2023: 148-160 - [c58]Muhammad Osaid, Abdul Samad, Omer Qureshi, Muhammad Atif Tahir, Muhammad Nouman Durrani:
Tracking and Prediction Of Human Spermatozoa Motility Using Yolov8n and Greedy Shape Geometry Technique. MediaEval 2023 - [c57]Muhammad Mustafa Ali Usmani, Humna Faisal, Muhammad Atif Tahir:
The Impact of Transformers Ensemble on Model Memorability and Generalizability. MediaEval 2023 - 2022
- [j29]Muhammad Shahzad, Muhammad Atif Tahir, M. Atta Khan, Richard Jiang, Rauf Ahmed Shams Malick:
EBSRMF: Ensemble based similarity-regularized matrix factorization to predict anticancer drug responses. J. Intell. Fuzzy Syst. 43(3): 3443-3452 (2022) - [c56]Farhan Dhanani, Muhammad Rafi, Muhammad Atif Tahir:
FAST-MT Participation for the JOKER CLEF-2022 Automatic Pun and Humour Translation Tasks. CLEF (Working Notes) 2022: 1756-1773 - [c55]Omer Qureshi, Muhammad Osaid, Muhammad Atif Tahir, Muhammad Nouman Durrani:
Time Series Prediction Of AQI using Facebook Prophet and YOLOV5. MediaEval 2022 - [c54]Muhammad Mustafa Ali Usmani, Sumaiyah Zahid, Muhammad Atif Tahir:
Modelling of Video Memorability using Ensemble Learning and Transformers. MediaEval 2022 - [c53]Muhammad Mustafa Ali Usmani, Sumaiyah Zahid, Muhammad Atif Tahir:
Quest for Insight: Predicting Memorability based on Frequency of N-Grams. MediaEval 2022 - [c52]Yumna Zahid, Muhammad Atif Tahir, Jungong Han, Qiang Shen:
Laplacian Regularized Variational Few-Shot Learning for Image Classification. UKCI 2022: 105-116 - 2021
- [j28]Aqsa Hassan, Mohsin Ali, Nouman M. Durrani, Muhammad Atif Tahir:
An Empirical Analysis of Deep Learning Architectures for Vehicle Make and Model Recognition. IEEE Access 9: 91487-91499 (2021) - [j27]Farrukh Hasan Syed, Muhammad Atif Tahir, Muhammad Rafi, Mir Danish Shahab:
Feature selection for semi-supervised multi-target regression using genetic algorithm. Appl. Intell. 51(12): 8961-8984 (2021) - [j26]Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen:
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Anal. 70: 102007 (2021) - [c51]Muhammad Waqas, Muhammad Atif Tahir, Rizwan Qureshi:
Ensemble-Based Instance Relevance Estimation in Multiple-Instance Learning. EUVIP 2021: 1-6 - [c50]Amad Asif, Muhammad Atif Tahir, Mohsin Ali:
Deep Component Based Age Invariant Face Recognition in an Unconstrained Environment. ICCCI (CCIS Volume) 2021: 101-113 - [c49]Muhammad Danish Waseem, Muhammad Atif Tahir, Muhammad Nouman Durrani:
Hybrid Vision Transformer for Domain Adaptable Person Re-identification. ICCCI (CCIS Volume) 2021: 114-122 - [c48]Ali Akbar, Muhammad Atif Tahir, Muhammad Rafi:
Towards Time Series Forecasting of Cross-Data Analytics for Haze Prediction. MediaEval 2021 - [c47]Mohsin Ali, Muhammad Hanif, Muhammad Atif Tahir, Muhammad Nouman Durrani, Muhammad Rafi:
Disaster based Visual Sentiment Analysis using Deep Learning. MediaEval 2021 - [c46]Muhammad Hanif, Ammar Khawer, Muhammad Atif Tahir, Muhammad Rafi:
Deep Learning Based Framework for Classification of Water Quality in Social Media Data. MediaEval 2021 - [c45]Zeshan Khan, Mubasher Khan, Mubashir Yasin, Muhammad Hassan, Muhammad Atif Tahir:
Medico 2021: Medical Image Augmentation and Segmentation using Combination of Segmentation Neural Networks. MediaEval 2021 - [c44]Zeshan Khan, Umar Naseer, Muhammad Atif Tahir:
Short Text Classification using TF-IDF Features and Fast Text Learner. MediaEval 2021 - [c43]Muhammad Sohail Afzal, Muhammad Atif Tahir:
Reinforcement Learning based Video Summarization with Combination of ResNet and Gated Recurrent Unit. VISIGRAPP (4: VISAPP) 2021: 261-268 - 2020
- [j25]Yumna Zahid, Muhammad Atif Tahir, Nouman M. Durrani, Ahmed Bouridane:
IBaggedFCNet: An Ensemble Framework for Anomaly Detection in Surveillance Videos. IEEE Access 8: 220620-220630 (2020) - [j24]Muhammad Usman Ghani, Muhammad Rafi, Muhammad Atif Tahir:
Discriminative Adaptive Sets for Multi-Label Classification. IEEE Access 8: 227579-227595 (2020) - [c42]Muhammad Waqas, Zeshan Khan, Shaheer Anjum, Muhammad Atif Tahir:
Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning. CLEF (Working Notes) 2020 - [c41]Yumna Zahid, Muhammad Atif Tahir, Muhammad Nouman Durrani:
Ensemble Learning Using Bagging And Inception-V3 For Anomaly Detection In Surveillance Videos. ICIP 2020: 588-592 - [c40]Zeshan Khan, Muhammad Usman Tariq Alvi, Muhammad Atif Tahir, Shahbaz Memon:
Medical Diagnostic by Data Bagging for Various Instances of Neural Network. ICPR Workshops (8) 2020: 291-298 - [c39]Syed Muhammad Faraz Ali, Muhammad Taha Khan, Syed Unaiz Haider, Talha Ahmed, Zeshan Khan, Muhammad Atif Tahir:
Depth-Wise Separable Atrous Convolution for Polyps Segmentation in Gastro-Intestinal Tract. MediaEval 2020 - [c38]Muhammad Hanif, Huzaifa Joozer, Muhammad Atif Tahir, Muhammad Rafi:
Ensemble Based Method for the Classification of Flooding Event Using Social Media Data. MediaEval 2020
2010 – 2019
- 2019
- [j23]Faraz Ahmad Khan, Fouad Khelifi, Muhammad Atif Tahir, Ahmed Bouridane:
Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors. IEEE Trans. Inf. Forensics Secur. 14(2): 289-303 (2019) - [j22]Kamran Soomro, Muhammad Nasir Mumtaz Bhutta, Zaheer Khan, Muhammad Atif Tahir:
Smart city big data analytics: An advanced review. WIREs Data Mining Knowl. Discov. 9(5) (2019) - [c37]Mir Murtaza, Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi:
Ensemble and Inference based Methods for Flood Severity Estimation Using Visual Data. MediaEval 2019 - [r1]Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi, Furqan Shaikh:
Flood Detection Using Social Media Big Data Streams. Encyclopedia of Big Data Technologies 2019 - 2018
- [j21]Remy Peyret, Ahmed Bouridane, Fouad Khelifi, Muhammad Atif Tahir, Somaya Ali Al-Máadeed:
Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization. Neurocomputing 275: 83-93 (2018) - [j20]Farrukh Hasan Syed, Muhammad Atif Tahir:
Safe semi supervised multi-target regression (MTR-SAFER) for new targets learning. Multim. Tools Appl. 77(22): 29971-29987 (2018) - [c36]Shees Nadeem, Muhammad Atif Tahir, Syed Sadiq Ali Naqvi, Muhammad Zaid:
Ensemble of Texture and Deep Learning Features for Finding Abnormalities in the Gastro-Intestinal Tract. ICCCI (2) 2018: 469-478 - [c35]Muhammad Hanif, Muhammad Atif Tahir, Muhammad Rafi:
Detection of Passable Roads Using Ensemble of Global and Local Features. MediaEval 2018 - [c34]Zeshan Khan, Muhammad Atif Tahir:
Majority Voting of Heterogeneous Classifiers for Finding Abnormalities in the Gastro-Intestinal Tract. MediaEval 2018 - 2017
- [j19]Faraz Ahmad Khan, Muhammad Atif Tahir, Fouad Khelifi, Ahmed Bouridane, Resheed Almotaeryi:
Robust off-line text independent writer identification using bagged discrete cosine transform features. Expert Syst. Appl. 71: 404-415 (2017) - [j18]Muhammad Khurram Shaikh, Ashref Lawgaly, Muhammad Atif Tahir, Ahmed Bouridane:
Modality identification for heterogeneous face recognition. Multim. Tools Appl. 76(3): 4635-4650 (2017) - [c33]Mohamed Albashir Omar, Muhammad Atif Tahir, Fouad Khelifi:
Multi-label learning model for improving retinal image classification in diabetic retinopathy. CoDIT 2017: 202-207 - [c32]Muhammad Hanif, Muhammad Atif Tahir, Mahrukh Khan, Muhammad Rafi:
Flood detection using Social Media Data and Spectral Regression based Kernel Discriminant Analysis. MediaEval 2017 - [c31]Syed Sadiq Ali Naqvi, Shees Nadeem, Muhammad Zaid, Muhammad Atif Tahir:
Ensemble of Texture Features for Finding Abnormalities in the Gastro-Intestinal Tract. MediaEval 2017 - 2016
- [j17]Muhammad Atif Tahir, Josef Kittler, Ahmed Bouridane:
Multi-label classification using stacked spectral kernel discriminant analysis. Neurocomputing 171: 127-137 (2016) - [j16]Somaya Al-Máadeed, Abdelaali Hassaïne, Ahmed Bouridane, Muhammad Atif Tahir:
Novel geometric features for off-line writer identification. Pattern Anal. Appl. 19(3): 699-708 (2016) - [c30]Mohamed Albashir Omar, Fouad Khelifi, Muhammad Atif Tahir:
Detection and classification of retinal fundus images exudates using region based multiscale LBP texture approach. CoDIT 2016: 227-232 - [c29]Faraz Ahmad Khan, Muhammad Atif Tahir, Fouad Khelifi, Ahmed Bouridane:
Offline text independent writer identification using ensemble of multi-scale local ternary pattern histograms. EUVIP 2016: 1-6 - 2015
- [j15]Zaheer Abbas Khan, Ashiq Anjum, Kamran Soomro, Muhammad Atif Tahir:
Towards cloud based big data analytics for smart future cities. J. Cloud Comput. 4: 2 (2015) - [j14]Muhammad Atif Tahir, Asif Jamshed, Habib-ur Rehman, Yassine Daadaa:
Tabu Search for Low-Cost Dynamic Multicast Tree Generation with Quality of Service Guarantees. J. Intell. Syst. 24(4): 479-489 (2015) - [j13]Emad Khalifa, Somaya Al-Máadeed, Muhammad Atif Tahir, Ahmed Bouridane, Asif Jamshed:
Off-line writer identification using an ensemble of grapheme codebook features. Pattern Recognit. Lett. 59: 18-25 (2015) - 2014
- [c28]Muhammad Khurram Shaikh, Muhammad Atif Tahir, Ahmed Bouridane:
Tied factor Analysis using Bagging for heterogeneous face recognition. EUVIP 2014: 1-6 - [c27]Muhammad Khurram Shaikh, Muhammad Atif Tahir, Ahmed Bouridane:
Probabilistic Linear Discriminant Analysis for intermodality face recognition. ICASSP 2014: 509-513 - 2013
- [j12]Chi-Ho Chan, Muhammad Atif Tahir, Josef Kittler, Matti Pietikäinen:
Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1164-1177 (2013) - [j11]Muhammad Atif Tahir, Fei Yan, Peter Koniusz, Muhammad Awais, Mark Barnard, Krystian Mikolajczyk, Ahmed Bouridane, Josef Kittler:
A Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression. IEEE Trans. Multim. 15(7): 1653-1664 (2013) - [c26]Muhammad Atif Tahir, Ahmed Bouridane, Josef Kittler:
Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification. MCS 2013: 283-294 - 2012
- [j10]Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muhammad Atif Tahir:
Non-Sparse Multiple Kernel Fisher Discriminant Analysis. J. Mach. Learn. Res. 13: 607-642 (2012) - [j9]Muhammad Atif Tahir, Josef Kittler, Fei Yan:
Inverse random under sampling for class imbalance problem and its application to multi-label classification. Pattern Recognit. 45(10): 3738-3750 (2012) - [j8]Muhammad Atif Tahir, Josef Kittler, Ahmed Bouridane:
Multilabel classification using heterogeneous ensemble of multi-label classifiers. Pattern Recognit. Lett. 33(5): 513-523 (2012) - [i1]Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel:
Making Early Predictions of the Accuracy of Machine Learning Applications. CoRR abs/1212.1100 (2012) - 2011
- [c25]Muhammad Atif Tahir, Chi-Ho Chan, Josef Kittler, Ahmed Bouridane:
Face recognition using multi-scale local phase quantisation and Linear Regression Classifier. ICIP 2011: 765-768 - 2010
- [j7]Christian Eitzinger, Wolfgang Heidl, Edwin Lughofer, Stefan Raiser, Jim E. Smith, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel:
Assessment of the influence of adaptive components in trainable surface inspection systems. Mach. Vis. Appl. 21(5): 613-626 (2010) - [j6]Muhammad Atif Tahir, Jim E. Smith:
Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection. Pattern Recognit. Lett. 31(11): 1470-1480 (2010) - [c24]Muhammad Atif Tahir, Fei Yan, Mark Barnard, Muhammad Awais, Krystian Mikolajczyk, Josef Kittler:
The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes. ICPR Contests 2010: 162-170 - [c23]Muhammad Atif Tahir, Fei Yan, Mark Barnard, Muhammad Awais, Krystian Mikolajczyk, Josef Kittler:
The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes. ICPR 2010: 850-853 - [c22]Muhammad Atif Tahir, Josef Kittler, Krystian Mikolajczyk, Fei Yan:
Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers. MCS 2010: 11-21 - [c21]Fei Yan, Krystian Mikolajczyk, Josef Kittler, Muhammad Atif Tahir:
Combining Multiple Kernels by Augmenting the Kernel Matrix. MCS 2010: 175-184 - [c20]Chi-Ho Chan, Josef Kittler, Muhammad Atif Tahir:
Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition. SSPR/SPR 2010: 718-727
2000 – 2009
- 2009
- [j5]Edwin Lughofer, James Edward Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Christian Eitzinger, Davy Sannen, Marnix Nuttin:
Human-Machine Interaction Issues in Quality Control Based on Online Image Classification. IEEE Trans. Syst. Man Cybern. Part A 39(5): 960-971 (2009) - [c19]Muhammad Atif Tahir, Josef Kittler, Fei Yan, Krystian Mikolajczyk:
Kernel Discriminant Analysis Using Triangular Kernel for Semantic Scene Classification. CBMI 2009: 1-6 - [c18]Fei Yan, Krystian Mikolajczyk, Josef Kittler, Muhammad Atif Tahir:
A Comparison of L1 Norm and L2 Norm Multiple Kernel SVMs in Image and Video Classification. CBMI 2009: 7-12 - [c17]Muhammad Atif Tahir, Josef Kittler, Fei Yan, Krystian Mikolajczyk:
Concept learning for image and video retrieval: The inverse random under sampling approach. EUSIPCO 2009: 574-578 - [c16]Muhammad Atif Tahir, Josef Kittler, Krystian Mikolajczyk, Fei Yan, Koen E. A. van de Sande, Theo Gevers:
Visual category recognition using Spectral Regression and Kernel Discriminant Analysis. ICCV Workshops 2009: 178-185 - [c15]Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muhammad Atif Tahir:
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis. ICDM 2009: 1064-1069 - [c14]Muhammad Atif Tahir, Josef Kittler, Krystian Mikolajczyk, Fei Yan:
A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under Sampling. MCS 2009: 82-91 - 2008
- [c13]Edwin Lughofer, Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Christian Eitzinger, Davy Sannen, Hendrik Van Brussel:
On Human-Machine Interaction during Online Image Classifier Training. CIMCA/IAWTIC/ISE 2008: 1005-1010 - [c12]Davy Sannen, Marnix Nuttin, Jim E. Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Edwin Lughofer, Christian Eitzinger:
An On-Line Interactive Self-adaptive Image Classification Framework. ICVS 2008: 171-180 - [c11]Muhammad Atif Tahir, Jim E. Smith, Praminda Caleb-Solly:
A Novel Feature Selection Based Semi-supervised Method for Image Classification. ICVS 2008: 484-493 - [c10]Cees G. M. Snoek, Koen E. A. van de Sande, Ork de Rooij, Bouke Huurnink, Jan C. van Gemert, Jasper R. R. Uijlings, Jiyin He, Xirong Li, Ivo Everts, Vladimir Nedovic, M. van Liempt, Richard van Balen, Maarten de Rijke, Jan-Mark Geusebroek, Theo Gevers, Marcel Worring, Arnold W. M. Smeulders, Dennis C. Koelma, Fei Yan, Muhammad Atif Tahir, Krystian Mikolajczyk, Josef Kittler:
The MediaMill TRECVID 2008 Semantic Video Search Engine. TRECVID 2008 - [p1]Muhammad Atif Tahir, Jim E. Smith:
Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search. Advances in Metaheuristics for Hard Optimization 2008: 69-85 - 2007
- [j4]Muhammad Atif Tahir, Ahmed Bouridane, Fatih Kurugollu:
Simultaneous feature selection and feature weighting using Hybrid Tabu Search/K-nearest neighbor classifier. Pattern Recognit. Lett. 28(4): 438-446 (2007) - [c9]Jim E. Smith, Muhammad Atif Tahir:
Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications. IDEAL 2007: 673-683 - 2006
- [j3]Muhammad Atif Tahir, Ahmed Bouridane:
Novel Round-Robin Tabu Search Algorithm for Prostate Cancer Classification and Diagnosis Using Multispectral Imagery. IEEE Trans. Inf. Technol. Biomed. 10(4): 782-793 (2006) - [c8]Muhammad Atif Tahir, Ahmed Bouridane:
An Fpga Based Coprocessor for Cancer Classification Using Nearest Neighbour Classifier. ICASSP (3) 2006: 1012-1015 - [c7]Muhammad Atif Tahir, Jim E. Smith:
Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance Metrics. ICDM 2006: 1086-1090 - 2005
- [j2]Muhammad Atif Tahir, Ahmed Bouridane, Fatih Kurugollu, Abbes Amira:
A Novel Prostate Cancer Classification Technique Using Intermediate Memory Tabu Search. EURASIP J. Adv. Signal Process. 2005(14): 2241-2249 (2005) - 2004
- [c6]Muhammad Atif Tahir, Ahmed Bouridane, Fatih Kurugollu:
An FPGA Based Coprocessor for the Classification of Tissue Patterns in Prostatic Cancer. FPL 2004: 771-780 - [c5]Muhammad Atif Tahir, Ahmed Bouridane, Fatih Kurugollu, Abbes Amira:
Accelerating the computation of glcm and haralick texture features on reconfigurable hardware. ICIP 2004: 2857-2860 - [c4]Muhammad Atif Tahir, Ahmed Bouridane, Fatih Kurugollu, Abbes Amira:
Feature Selection using Tabu Search for Improving the Classification Rate of Prostate Needle Biopsies. ICPR (2) 2004: 335-338 - [c3]Muhammad Atif Tahir, Ahmed Bouridane, Fatih Kurugollu:
Simultaneous Feature Selection and Weighting for Nearest Neighbor Using Tabu Search. IDEAL 2004: 390-395 - 2003
- [c2]Muhammad Atif Tahir, Mohammed Ali Roula, Ahmed Bouridane, Fatih Kurugollu, Abbes Amira:
An FPGA based co-processor for GLCM texture features measurement. ICECS 2003: 1006-1009 - 2002
- [j1]Habib Youssef, Abdulaziz Al-Mulhem, Sadiq M. Sait, Muhammad Atif Tahir:
QoS-driven multicast tree generation using Tabu search. Comput. Commun. 25(11-12): 1140-1149 (2002) - [c1]Muhammad Atif Tahir, Habib Youssef, Abdulaziz Al-Mulhem, Sadiq M. Sait:
Fuzzy Based MultiObjective Multicast Routing Using Tabu Search. International Conference on Internet Computing 2002: 164-170
Coauthor Index
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