Fuzzy Based MultiObjective Multicast Routing Using Tabu Search. - Muhammad Atif Tahir; Habib Youssef; Abdulaziz Al-Mulhem; Sadiq M. Sait (International Conference on Internet Computing, 2002)

QoS-driven multicast tree generation using Tabu search. - Habib Youssef; Abdulaziz Al-Mulhem; Sadiq M. Sait; Muhammad Atif Tahir (Comput. Commun., 2002)

An FPGA based co-processor for GLCM texture features measurement. - Muhammad Atif Tahir; Mohammed Ali Roula; Ahmed Bouridane; Fatih Kurugollu; Abbes Amira (ICECS, 2003)

An FPGA Based Coprocessor for the Classification of Tissue Patterns in Prostatic Cancer. - Muhammad Atif Tahir; Ahmed Bouridane; Fatih Kurugollu (FPL, 2004)

Accelerating the computation of glcm and haralick texture features on reconfigurable hardware. - Muhammad Atif Tahir; Ahmed Bouridane; Fatih Kurugollu; Abbes Amira (ICIP, 2004)

Feature Selection using Tabu Search for Improving the Classification Rate of Prostate Needle Biopsies. - Muhammad Atif Tahir; Ahmed Bouridane; Fatih Kurugollu; Abbes Amira (ICPR (2), 2004)

Simultaneous Feature Selection and Weighting for Nearest Neighbor Using Tabu Search. - Muhammad Atif Tahir; Ahmed Bouridane; Fatih Kurugollu (IDEAL, 2004)

A Novel Prostate Cancer Classification Technique Using Intermediate Memory Tabu Search. - Muhammad Atif Tahir; Ahmed Bouridane; Fatih Kurugollu; Abbes Amira (EURASIP J. Adv. Signal Process., 2005)

An Fpga Based Coprocessor for Cancer Classification Using Nearest Neighbour Classifier. - Muhammad Atif Tahir; Ahmed Bouridane (ICASSP (3), 2006)

Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance Metrics. - Muhammad Atif Tahir; Jim E. Smith (ICDM, 2006)

Novel Round-Robin Tabu Search Algorithm for Prostate Cancer Classification and Diagnosis Using Multispectral Imagery. - Muhammad Atif Tahir; Ahmed Bouridane (IEEE Trans. Inf. Technol. Biomed., 2006)

Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications. - Jim E. Smith; Muhammad Atif Tahir (IDEAL, 2007)

Simultaneous feature selection and feature weighting using Hybrid Tabu Search/K-nearest neighbor classifier. - Muhammad Atif Tahir; Ahmed Bouridane; Fatih Kurugollu (Pattern Recognit. Lett., 2007)

On Human-Machine Interaction during Online Image Classifier Training. - Edwin Lughofer; Jim E. Smith; Praminda Caleb-Solly; Muhammad Atif Tahir; Christian Eitzinger; Davy Sannen; Hendrik Van Brussel (CIMCA/IAWTIC/ISE, 2008)

An On-Line Interactive Self-adaptive Image Classification Framework. - Davy Sannen; Marnix Nuttin; Jim E. Smith; Muhammad Atif Tahir; Praminda Caleb-Solly; Edwin Lughofer; Christian Eitzinger (ICVS, 2008)

A Novel Feature Selection Based Semi-supervised Method for Image Classification. - Muhammad Atif Tahir; Jim E. Smith; Praminda Caleb-Solly (ICVS, 2008)

Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search. - Muhammad Atif Tahir; Jim E. Smith (Advances in Metaheuristics for Hard Optimization, 2008)

The MediaMill TRECVID 2008 Semantic Video Search Engine. - 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 001; Ivo Everts; Vladimir Nedovic; M. van Liempt; Richard van Balen; et al. (TRECVID, 2008)

Kernel Discriminant Analysis Using Triangular Kernel for Semantic Scene Classification. - Muhammad Atif Tahir; Josef Kittler; Fei Yan 001; Krystian Mikolajczyk (CBMI, 2009)

A Comparison of L1 Norm and L2 Norm Multiple Kernel SVMs in Image and Video Classification. - Fei Yan 001; Krystian Mikolajczyk; Josef Kittler; Muhammad Atif Tahir (CBMI, 2009)

Concept learning for image and video retrieval: The inverse random under sampling approach. - Muhammad Atif Tahir; Josef Kittler; Fei Yan 001; Krystian Mikolajczyk (EUSIPCO, 2009)

Visual category recognition using Spectral Regression and Kernel Discriminant Analysis. - Muhammad Atif Tahir; Josef Kittler; Krystian Mikolajczyk; Fei Yan 001; Koen E. A. van de Sande; Theo Gevers (ICCV Workshops, 2009)

Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis. - Fei Yan 001; Josef Kittler; Krystian Mikolajczyk; Muhammad Atif Tahir (ICDM, 2009)

A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under Sampling. - Muhammad Atif Tahir; Josef Kittler; Krystian Mikolajczyk; Fei Yan 001 (MCS, 2009)

Human-Machine Interaction Issues in Quality Control Based on Online Image Classification. - Edwin Lughofer; James Edward Smith; Muhammad Atif Tahir; Praminda Caleb-Solly; Christian Eitzinger; Davy Sannen; Marnix Nuttin (IEEE Trans. Syst. Man Cybern. Part A, 2009)

The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes. - Muhammad Atif Tahir; Fei Yan 001; Mark Barnard; Muhammad Awais 001; Krystian Mikolajczyk; Josef Kittler (ICPR, 2010)

Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers. - Muhammad Atif Tahir; Josef Kittler; Krystian Mikolajczyk; Fei Yan 001 (MCS, 2010)

Combining Multiple Kernels by Augmenting the Kernel Matrix. - Fei Yan 001; Krystian Mikolajczyk; Josef Kittler; Muhammad Atif Tahir (MCS, 2010)

Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition. - Chi-Ho Chan; Josef Kittler; Muhammad Atif Tahir (SSPR/SPR, 2010)

Assessment of the influence of adaptive components in trainable surface inspection systems. - Christian Eitzinger; Wolfgang Heidl; Edwin Lughofer; Stefan Raiser; Jim E. Smith; Muhammad Atif Tahir; Davy Sannen; Hendrik Van Brussel (Mach. Vis. Appl., 2010)

Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection. - Muhammad Atif Tahir; Jim E. Smith (Pattern Recognit. Lett., 2010)

Face recognition using multi-scale local phase quantisation and Linear Regression Classifier. - Muhammad Atif Tahir; Chi-Ho Chan; Josef Kittler; Ahmed Bouridane (ICIP, 2011)

Making Early Predictions of the Accuracy of Machine Learning Applications - Jim E. Smith; Praminda Caleb-Solly; Muhammad Atif Tahir; Davy Sannen; Hendrik Van Brussel (CoRR, 2012)

Non-Sparse Multiple Kernel Fisher Discriminant Analysis. - Fei Yan 001; Josef Kittler; Krystian Mikolajczyk; Muhammad Atif Tahir (J. Mach. Learn. Res., 2012)

Inverse random under sampling for class imbalance problem and its application to multi-label classification. - Muhammad Atif Tahir; Josef Kittler; Fei Yan 001 (Pattern Recognit., 2012)

Multilabel classification using heterogeneous ensemble of multi-label classifiers. - Muhammad Atif Tahir; Josef Kittler; Ahmed Bouridane (Pattern Recognit. Lett., 2012)

Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification. - Muhammad Atif Tahir; Ahmed Bouridane; Josef Kittler (MCS, 2013)

Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using Kernel Fusion of Multiple Descriptors. - Chi-Ho Chan; Muhammad Atif Tahir; Josef Kittler; Matti Pietikäinen (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression. - Muhammad Atif Tahir; Fei Yan 001; Peter Koniusz; Muhammad Awais 001; Mark Barnard; Krystian Mikolajczyk; Ahmed Bouridane; Josef Kittler (IEEE Trans. Multim., 2013)

Tied factor Analysis using Bagging for heterogeneous face recognition. - Muhammad Khurram Shaikh; Muhammad Atif Tahir; Ahmed Bouridane (EUVIP, 2014)

Probabilistic Linear Discriminant Analysis for intermodality face recognition. - Muhammad Khurram Shaikh; Muhammad Atif Tahir; Ahmed Bouridane (ICASSP, 2014)

Towards cloud based big data analytics for smart future cities. - Zaheer Abbas Khan; Ashiq Anjum; Kamran Soomro; Muhammad Atif Tahir (J. Cloud Comput., 2015)

Tabu Search for Low-Cost Dynamic Multicast Tree Generation with Quality of Service Guarantees. - Muhammad Atif Tahir; Asif Jamshed; Habib-ur Rehman; Yassine Daadaa (J. Intell. Syst., 2015)

Off-line writer identification using an ensemble of grapheme codebook features. - Emad Khalifa; Somaya Al-Máadeed; Muhammad Atif Tahir; Ahmed Bouridane; Asif Jamshed (Pattern Recognit. Lett., 2015)

Detection and classification of retinal fundus images exudates using region based multiscale LBP texture approach. - Mohamed Albashir Omar; Fouad Khelifi; Muhammad Atif Tahir (CoDIT, 2016)

Offline text independent writer identification using ensemble of multi-scale local ternary pattern histograms. - Faraz Ahmad Khan; Muhammad Atif Tahir; Fouad Khelifi; Ahmed Bouridane (EUVIP, 2016)

Multi-label classification using stacked spectral kernel discriminant analysis. - Muhammad Atif Tahir; Josef Kittler; Ahmed Bouridane (Neurocomputing, 2016)

Novel geometric features for off-line writer identification. - Somaya Al-Máadeed; Abdelaali Hassaïne; Ahmed Bouridane; Muhammad Atif Tahir (Pattern Anal. Appl., 2016)

Multi-label learning model for improving retinal image classification in diabetic retinopathy. - Mohamed Albashir Omar; Muhammad Atif Tahir; Fouad Khelifi (CoDIT, 2017)

Flood detection using Social Media Data and Spectral Regression based Kernel Discriminant Analysis. - Muhammad Hanif; Muhammad Atif Tahir; Mahrukh Khan; Muhammad Rafi (MediaEval, 2017)

Ensemble of Texture Features for Finding Abnormalities in the Gastro-Intestinal Tract. - Syed Sadiq Ali Naqvi; Shees Nadeem; Muhammad Zaid; Muhammad Atif Tahir (MediaEval, 2017)

Robust off-line text independent writer identification using bagged discrete cosine transform features. - Faraz Ahmad Khan; Muhammad Atif Tahir; Fouad Khelifi; Ahmed Bouridane; Resheed Almotaeryi (Expert Syst. Appl., 2017)

Modality identification for heterogeneous face recognition. - Muhammad Khurram Shaikh; Ashref Lawgaly; Muhammad Atif Tahir; Ahmed Bouridane (Multim. Tools Appl., 2017)

Ensemble of Texture and Deep Learning Features for Finding Abnormalities in the Gastro-Intestinal Tract. - Shees Nadeem; Muhammad Atif Tahir; Syed Sadiq Ali Naqvi; Muhammad Zaid (ICCCI (2), 2018)

Detection of Passable Roads Using Ensemble of Global and Local Features. - Muhammad Hanif; Muhammad Atif Tahir; Muhammad Rafi (MediaEval, 2018)

Majority Voting of Heterogeneous Classifiers for Finding Abnormalities in the Gastro-Intestinal Tract. - Zeshan Khan; Muhammad Atif Tahir (MediaEval, 2018)

Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization. - Remy Peyret; Ahmed Bouridane; Fouad Khelifi; Muhammad Atif Tahir; Somaya Ali Al-Máadeed (Neurocomputing, 2018)

Safe semi supervised multi-target regression (MTR-SAFER) for new targets learning. - Farrukh Hasan Syed; Muhammad Atif Tahir (Multim. Tools Appl., 2018)

Ensemble and Inference based Methods for Flood Severity Estimation Using Visual Data. - Mir Murtaza; Muhammad Hanif; Muhammad Atif Tahir; Muhammad Rafi (MediaEval, 2019)

Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors. - Faraz Ahmad Khan; Fouad Khelifi; Muhammad Atif Tahir; Ahmed Bouridane (IEEE Trans. Inf. Forensics Secur., 2019)

Smart city big data analytics: An advanced review. - Kamran Soomro; Muhammad Nasir Mumtaz Bhutta; Zaheer Khan 003; Muhammad Atif Tahir (WIREs Data Mining Knowl. Discov., 2019)

Flood Detection Using Social Media Big Data Streams. - Muhammad Hanif; Muhammad Atif Tahir; Muhammad Rafi; Furqan Shaikh (Encyclopedia of Big Data Technologies, 2019)

Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning. - Muhammad Waqas 007; Zeshan Khan; Shaheer Anjum; Muhammad Atif Tahir (CLEF (Working Notes), 2020)

Ensemble Learning Using Bagging And Inception-V3 For Anomaly Detection In Surveillance Videos. - Yumna Zahid; Muhammad Atif Tahir; Muhammad Nouman Durrani (ICIP, 2020)

Medical Diagnostic by Data Bagging for Various Instances of Neural Network. - Zeshan Khan; Muhammad Usman Tariq Alvi; Muhammad Atif Tahir; Shahbaz Memon (ICPR Workshops (8), 2020)

Depth-Wise Separable Atrous Convolution for Polyps Segmentation in Gastro-Intestinal Tract. - Syed Muhammad Faraz Ali; Muhammad Taha Khan; Syed Unaiz Haider; Talha Ahmed; Zeshan Khan; Muhammad Atif Tahir (MediaEval, 2020)

Ensemble Based Method for the Classification of Flooding Event Using Social Media Data. - Muhammad Hanif; Huzaifa Joozer; Muhammad Atif Tahir; Muhammad Rafi (MediaEval, 2020)

Discriminative Adaptive Sets for Multi-Label Classification. - Muhammad Usman Ghani 003; Muhammad Rafi; Muhammad Atif Tahir (IEEE Access, 2020)

IBaggedFCNet: An Ensemble Framework for Anomaly Detection in Surveillance Videos. - Yumna Zahid; Muhammad Atif Tahir; Nouman M. Durrani; Ahmed Bouridane (IEEE Access, 2020)

Ensemble-Based Instance Relevance Estimation in Multiple-Instance Learning. - Muhammad Waqas 007; Muhammad Atif Tahir; Rizwan Qureshi (EUVIP, 2021)

Deep Component Based Age Invariant Face Recognition in an Unconstrained Environment. - Amad Asif; Muhammad Atif Tahir; Mohsin Ali (ICCCI (CCIS Volume), 2021)

Hybrid Vision Transformer for Domain Adaptable Person Re-identification. - Muhammad Danish Waseem; Muhammad Atif Tahir; Muhammad Nouman Durrani (ICCCI (CCIS Volume), 2021)

Towards Time Series Forecasting of Cross-Data Analytics for Haze Prediction. - Ali Akbar; Muhammad Atif Tahir; Muhammad Rafi (MediaEval, 2021)

Disaster based Visual Sentiment Analysis using Deep Learning. - Mohsin Ali; Muhammad Hanif; Muhammad Atif Tahir; Muhammad Nouman Durrani; Muhammad Rafi (MediaEval, 2021)

Deep Learning Based Framework for Classification of Water Quality in Social Media Data. - Muhammad Hanif; Ammar Khawer; Muhammad Atif Tahir; Muhammad Rafi (MediaEval, 2021)

Medico 2021: Medical Image Augmentation and Segmentation using Combination of Segmentation Neural Networks. - Zeshan Khan; Mubasher Khan; Mubashir Yasin; Muhammad Hassan; Muhammad Atif Tahir (MediaEval, 2021)

Short Text Classification using TF-IDF Features and Fast Text Learner. - Zeshan Khan; Umar Naseer; Muhammad Atif Tahir (MediaEval, 2021)

Reinforcement Learning based Video Summarization with Combination of ResNet and Gated Recurrent Unit. - Muhammad Sohail Afzal; Muhammad Atif Tahir (VISIGRAPP (4: VISAPP), 2021)

An Empirical Analysis of Deep Learning Architectures for Vehicle Make and Model Recognition. - Aqsa Hassan; Mohsin Ali; Nouman M. Durrani; Muhammad Atif Tahir (IEEE Access, 2021)

Feature selection for semi-supervised multi-target regression using genetic algorithm. - Farrukh Hasan Syed; Muhammad Atif Tahir; Muhammad Rafi; Mir Danish Shahab (Appl. Intell., 2021)

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. - 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; et al. (Medical Image Anal., 2021)

FAST-MT Participation for the JOKER CLEF-2022 Automatic Pun and Humour Translation Tasks. - Farhan Dhanani; Muhammad Rafi; Muhammad Atif Tahir (CLEF (Working Notes), 2022)

Time Series Prediction Of AQI using Facebook Prophet and YOLOV5. - Omer Qureshi; Muhammad Osaid; Muhammad Atif Tahir; Muhammad Nouman Durrani (MediaEval, 2022)

Modelling of Video Memorability using Ensemble Learning and Transformers. - Muhammad Mustafa Ali Usmani; Sumaiyah Zahid; Muhammad Atif Tahir (MediaEval, 2022)

Quest for Insight: Predicting Memorability based on Frequency of N-Grams. - Muhammad Mustafa Ali Usmani; Sumaiyah Zahid; Muhammad Atif Tahir (MediaEval, 2022)

Laplacian Regularized Variational Few-Shot Learning for Image Classification. - Yumna Zahid; Muhammad Atif Tahir; Jungong Han; Qiang Shen 001 (UKCI, 2022)

Humour Translation with Transformers. - Farhan Dhanani; Muhammad Rafi; Muhammad Atif Tahir (CLEF, 2023)

Tracking and Prediction Of Human Spermatozoa Motility Using Yolov8n and Greedy Shape Geometry Technique. - Muhammad Osaid; Abdul Samad; Omer Qureshi; Muhammad Atif Tahir; Muhammad Nouman Durrani (MediaEval, 2023)

The Impact of Transformers Ensemble on Model Memorability and Generalizability. - Muhammad Mustafa Ali Usmani; Humna Faisal; Muhammad Atif Tahir (MediaEval, 2023)

Toward an Optimal and Structured Feature Subset Selection for Multi-Target Regression Using Genetic Algorithm. - Farrukh Hasan Syed; Muhammad Atif Tahir; Jaroslav Frnda; Muhammad Rafi; Muhammad Shahid Anwar; Jan Nedoma (IEEE Access, 2023)

Robust bag classification approach for multi-instance learning via subspace fuzzy clustering. - Muhammad Waqas 007; Muhammad Atif Tahir; Salman A. Khan (Expert Syst. Appl., 2023)

Real time anatomical landmarks and abnormalities detection in gastrointestinal tract. - Zeshan Khan; Muhammad Atif Tahir (PeerJ Comput. Sci., 2023)

Deep Gaussian mixture model based instance relevance estimation for multiple instance learning applications. - Muhammad Waqas 007; Muhammad Atif Tahir; Rizwan Qureshi (Appl. Intell., 2023)

Leaf classification on Flavia dataset: A detailed review. - Syed Umaid Ahmed; Junaid Shuja; Muhammad Atif Tahir (Sustain. Comput. Informatics Syst., 2023)

Exploring Multiple Instance Learning (MIL): A brief survey. - Muhammad Waqas 007; Syed Umaid Ahmed; Muhammad Atif Tahir; Jia Wu 009; Rizwan Qureshi (Expert Syst. Appl., 2024)

Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer. - Muhammad Waqas 007; Muhammad Atif Tahir; Muhammad Danish Author; Somaya Al-Máadeed; Ahmed Bouridane; Jia Wu 009 (Neural Comput. Appl., 2024)

Exudate and drusen classification in retinal images using bagged colour vector angles and inter colour local binary patterns. - Mohamed Albashir Omar; Fouad Khelifi; Muhammad Atif Tahir (Multim. Tools Appl., 2024)

Tickling translations: Small but mighty open-sourced transformers bring English PUN-ny entities to life in French! - Farhan Dhanani; Muhammad Rafi; Muhammad Atif Tahir (Comput. Speech Lang., 2025)