| Novel centroid selection approaches for KMeans-clustering based recommender systems S Zahra, MA Ghazanfar, A Khalid, MA Azam, U Naeem, A Prugel-Bennett Information sciences 320, 156-189, 2015 | 263 | 2015 |
| Stock market prediction using machine learning classifiers and social media, news W Khan, MA Ghazanfar, MA Azam, A Karami, KH Alyoubi, AS Alfakeeh Journal of Ambient Intelligence and Humanized Computing, 1-24, 2022 | 258 | 2022 |
| A scalable, accurate hybrid recommender system MA Ghazanfar, A Prugel-Bennett 2010 Third International Conference on Knowledge Discovery and Data Mining …, 2010 | 211 | 2010 |
| Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems MA Ghazanfar, A Prügel-Bennett Expert Systems with Applications 41 (7), 3261-3275, 2014 | 177 | 2014 |
| An improved switching hybrid recommender system using naive bayes classifier and collaborative filtering M Ghazanfar, A Prugel-Bennett | 115 | 2010 |
| An IoT based efficient hybrid recommender system for cardiovascular disease F Jabeen, M Maqsood, MA Ghazanfar, F Aadil, S Khan, MF Khan, ... Peer-to-Peer Networking and Applications 12, 1263-1276, 2019 | 112 | 2019 |
| A novel DeepMaskNet model for face mask detection and masked facial recognition N Ullah, A Javed, MA Ghazanfar, A Alsufyani, S Bourouis Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 80 | 2022 |
| Frequent pattern mining algorithms for finding associated frequent patterns for data streams: A survey S Nasreen, MA Azam, K Shehzad, U Naeem, MA Ghazanfar Procedia Computer Science 37, 109-116, 2014 | 78 | 2014 |
| Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis KHAASA Wasiat Khan, Usman Malik, Mustansar Ali Ghazanfar, Muhammad Awais Azam Soft Computing, 2019 | 76* | 2019 |
| A dimensionality reduction-based efficient software fault prediction using Fisher linear discriminant analysis (FLDA) A Kalsoom, M Maqsood, MA Ghazanfar, F Aadil, S Rho The Journal of Supercomputing 74 (9), 4568-4602, 2018 | 70 | 2018 |
| Kernel-mapping recommender system algorithms MA Ghazanfar, A Prügel-Bennett, S Szedmak Information Sciences 208, 81-104, 2012 | 70 | 2012 |
| “The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations” A Ghazanfar, M. and Prugel-Bennett In the European Conference on Data Mining (ECDM’11), 2011 | 61* | 2011 |
| A Jaccard base similarity measure to improve performance of CF based recommender systems M Ayub, MA Ghazanfar, M Maqsood, A Saleem 2018 International Conference on Information Networking (ICOIN), 1-6, 2018 | 59 | 2018 |
| Prediction of stock market by principal component analysis M Waqar, H Dawood, P Guo, MB Shahnawaz, MA Ghazanfar 2017 13th International conference on computational intelligence and …, 2017 | 59 | 2017 |
| Building switching hybrid recommender system using machine learning classifiers and collaborative filtering M Ghazanfar, A Prugel-Bennett IAENG International Journal of Computer Science 37 (3), 2010 | 57 | 2010 |
| Social media signal detection using tweets volume, hashtag, and sentiment analysis F Nazir, MA Ghazanfar, M Maqsood, F Aadil, S Rho, I Mehmood Multimedia Tools and Applications 78, 3553-3586, 2019 | 52 | 2019 |
| Optimized gabor feature extraction for mass classification using cuckoo search for big data e-healthcare S Khan, A Khan, M Maqsood, F Aadil, MA Ghazanfar Journal of Grid Computing 17, 239-254, 2019 | 51 | 2019 |
| Fulfilling the needs of gray-sheep users in recommender systems, a clustering solution M Ghazanfar, A Prugel-Bennett | 51 | 2011 |
| Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems M Ayub, MA Ghazanfar, Z Mehmood, T Saba, R Alharbey, AM Munshi, ... PloS one 14 (8), e0220129, 2019 | 50 | 2019 |
| An improved product recommendation method for collaborative filtering A Iftikhar, MA Ghazanfar, M Ayub, Z Mehmood, M Maqsood IEEE Access 8, 123841-123857, 2020 | 48 | 2020 |
Adam Prugel-BennettUniversity of Southampton在 ecs.soton.ac.uk 的电子邮件经过验证
