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ORCIDMustansar Ali Ghazanfar
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2020 – today
- 2024
[j24]Ummara Bibi
, Mahrukh Mazhar, Dilshad Sabir, Muhammad Fasih Uddin Butt, Ali Hassan, Mustansar Ali Ghazanfar, Arshad Ali Khan, Wadood Abdul:
Advances in Pruning and Quantization for Natural Language Processing. IEEE Access 12: 139113-139128 (2024)- [j23]Arta Iftikhar, Mustansar Ali Ghazanfar, Mubbashir Ayub, Saad Ali Alahmari, Nadeem Qazi, Julie A. Wall:
A reinforcement learning recommender system using bi-clustering and Markov Decision Process. Expert Syst. Appl. 237(Part B): 121541 (2024) - [c14]Ziana Butt, Mustansar Ali Ghazanfar, Mudassar Ali Ghazanfar, Mohamed Bekheit, Nadeem Qazi, Amin Karimi:
Enhanced Prognostication of Liver Metastases Survival: A Fusion of Machine Learning Techniques. IS 2024: 1-11 - 2023
- [j22]Faria Nazir, Muhammad Nadeem Majeed, Mustansar Ali Ghazanfar, Muazzam Maqsood:
A computer-aided speech analytics approach for pronunciation feedback using deep feature clustering. Multim. Syst. 29(3): 1699-1715 (2023) - [j21]Muazzam Maqsood, Mustansar Ali Ghazanfar, Irfan Mehmood, Eenjun Hwang, Seungmin Rho:
A Meta-Heuristic Optimization Based Less Imperceptible Adversarial Attack on Gait Based Surveillance Systems. J. Signal Process. Syst. 95(2-3): 129-151 (2023) - [c13]Daniel Bolarinwa, Nadeem Qazi, Mustansar Ali Ghazanfar:
Shifting the Weight: Applications of AI in Olympic Weightlifting. PRDC 2023: 319-326 - 2022
- [j20]Wasiat Khan, Mustansar Ali Ghazanfar, Muhammad Awais Azam, Amin Karami, Khaled Hamed Alyoubi, Ahmed S. Alfakeeh:
Stock market prediction using machine learning classifiers and social media, news. J. Ambient Intell. Humaniz. Comput. 13(7): 3433-3456 (2022) - [j19]Naeem Ullah, Ali Javed, Mustansar Ali Ghazanfar, Abdulmajeed Alsufyani, Sami Bourouis:
A novel DeepMaskNet model for face mask detection and masked facial recognition. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 9905-9914 (2022) - [j18]Halima Ibrahim Kure, Shareeful Islam, Mustansar Ali Ghazanfar, Asad Raza, Maruf Pasha:
Asset criticality and risk prediction for an effective cybersecurity risk management of cyber-physical system. Neural Comput. Appl. 34(1): 493-514 (2022) - 2020
- [j17]Arta Iftikhar, Mustansar Ali Ghazanfar, Mubbashir Ayub, Zahid Mehmood, Muazzam Maqsood:
An Improved Product Recommendation Method for Collaborative Filtering. IEEE Access 8: 123841-123857 (2020) - [j16]Amin Karami, Shafiq Urréhman, Mustansar Ali Ghazanfar:
A novel centroids initialisation for K-means clustering in the presence of benign outliers. Int. J. Data Anal. Tech. Strateg. 12(4): 287-298 (2020) - [j15]Wasiat Khan, Usman Malik, Mustansar Ali Ghazanfar, Muhammad Awais Azam, Khaled Hamed Alyoubi, Ahmed S. Alfakeeh:
Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis. Soft Comput. 24(15): 11019-11043 (2020) - [j14]Mubbashir Ayub, Mustansar Ali Ghazanfar, Zahid Mehmood, Khaled Hamed Alyoubi, Ahmed S. Alfakeeh:
Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems. Soft Comput. 24(15): 11071-11094 (2020) - [c12]Muhammad Ehatisham-ul-Haq, Maryam Naseer Malik, Muhammad Awais Azam, Usman Naeem, Asra Khalid, Mustansar Ali Ghazanfar:
Identifying Users with Wearable Sensors based on Activity Patterns. EUSPN/ICTH 2020: 8-15
2010 – 2019
- 2019
- [j13]Misbah Iqbal, Mustansar Ali Ghazanfar, Asma Sattar, Muazzam Maqsood, Salabat Khan, Irfan Mehmood, Sung Wook Baik:
Kernel Context Recommender System (KCR): A Scalable Context-Aware Recommender System Algorithm. IEEE Access 7: 24719-24737 (2019) - [j12]Faria Nazir, Muhammad Nadeem Majeed, Mustansar Ali Ghazanfar, Muazzam Maqsood:
Mispronunciation Detection Using Deep Convolutional Neural Network Features and Transfer Learning-Based Model for Arabic Phonemes. IEEE Access 7: 52589-52608 (2019) - [j11]Rida Ghafoor Hussain, Mustansar Ali Ghazanfar, Muhammad Awais Azam, Usman Naeem, Shafiq ur Réhman:
A performance comparison of machine learning classification approaches for robust activity of daily living recognition. Artif. Intell. Rev. 52(1): 357-379 (2019) - [j10]Salabat Khan, Amir Khan, Muazzam Maqsood, Farhan Aadil, Mustansar Ali Ghazanfar:
Optimized Gabor Feature Extraction for Mass Classification Using Cuckoo Search for Big Data E-Healthcare. J. Grid Comput. 17(2): 239-254 (2019) - [j9]Faria Nazir, Mustansar Ali Ghazanfar, Muazzam Maqsood, Farhan Aadil, Seungmin Rho, Irfan Mehmood:
Social media signal detection using tweets volume, hashtag, and sentiment analysis. Multim. Tools Appl. 78(3): 3553-3586 (2019) - [j8]Fouzia Jabeen, Muazzam Maqsood, Mustansar Ali Ghazanfar, Farhan Aadil, Salabat Khan, Muhammad Fahad Khan, Irfan Mehmood:
An IoT based efficient hybrid recommender system for cardiovascular disease. Peer-to-Peer Netw. Appl. 12(5): 1263-1276 (2019) - 2018
- [j7]Anum Kalsoom, Muazzam Maqsood, Mustansar Ali Ghazanfar, Farhan Aadil, Seungmin Rho:
A dimensionality reduction-based efficient software fault prediction using Fisher linear discriminant analysis (FLDA). J. Supercomput. 74(9): 4568-4602 (2018) - [c11]Mubbashir Ayub, Mustansar Ali Ghazanfar, Muazzam Maqsood, Asjad Saleem:
A Jaccard base similarity measure to improve performance of CF based recommender systems. ICOIN 2018: 1-6 - [c10]Zara Mansoor, Mustansar Ali Ghazanfar, Syed Muhammad Anwar, Ahmed S. Alfakeeh, Khaled Hamed Alyoubi:
Pain Prediction in Humans using Human Brain Activity Data. WWW (Companion Volume) 2018: 359-364 - 2017
- [j6]Asra Khalid, Mustansar Ali Ghazanfar, Sobia Zahra, Muhammad Awais Azam:
Scalable and practical One-Pass clustering algorithm for recommender system. Intell. Data Anal. 21(2): 279-310 (2017) - [c9]Muhammad Waqar, Hassan Dawood, Ping Guo, Muhammad Bilal Shahnawaz, Mustansar Ali Ghazanfar:
Prediction of Stock Market by Principal Component Analysis. CIS 2017: 599-602 - 2016
- [c8]Usman Naeem, Abdel-Rahman H. Tawil, Ivans Semelis, Muhammad Awais Azam, Mustansar Ali Ghazanfar:
Inference Engine Based on a Hierarchical Structure for Detecting Everyday Activities Within the Home. IntelliSys (1) 2016: 969-986 - 2015
- [j5]Mustansar Ali Ghazanfar:
Experimenting switching hybrid recommender systems. Intell. Data Anal. 19(4): 845-877 (2015) - [j4]Sobia Zahra, Mustansar Ali Ghazanfar, Asra Khalid, Muhammad Awais Azam, Usman Naeem, Adam Prügel-Bennett:
Novel centroid selection approaches for KMeans-clustering based recommender systems. Inf. Sci. 320: 156-189 (2015) - [c7]Shamila Nasreen, Muhammad Awais Azam, Usman Naeem, Mustansar Ali Ghazanfar:
Inference of activities with unexpected actions using pattern mining. UbiComp/ISWC Adjunct 2015: 1479-1488 - [c6]Asra Khalid, Mustansar Ali Ghazanfar, Muhammad Awais Azam, Saad Ali Alahmari:
A scalable and practical one-pass clustering algorithm for recommender system. ICMV 2015: 987526 - 2014
- [j3]Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems. Expert Syst. Appl. 41(7): 3261-3275 (2014) - [c5]Shamila Nasreen, Muhammad Awais Azam, Khurram Shehzad, Usman Naeem, Mustansar Ali Ghazanfar:
Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey. EUSPN/ICTH 2014: 109-116 - 2013
- [j2]Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations. Informatica (Slovenia) 37(1): 61-92 (2013) - [c4]Mustansar Ali Ghazanfar, Adam Prupsilongel-Bennett:
Exploiting context in kernel-mapping recommender system algorithms. ICMV 2013: 906727 - 2012
- [b1]Mustansar Ali Ghazanfar:
Robust, scalable, and practical algorithms for recommender systems. University of Southampton, UK, 2012 - [j1]Mustansar Ali Ghazanfar, Adam Prügel-Bennett, Sándor Szedmák:
Kernel-Mapping Recommender system algorithms. Inf. Sci. 208: 81-104 (2012) - 2011
- [c3]Mustansar Ali Ghazanfar, Sándor Szedmák, Adam Prügel-Bennett:
Incremental Kernel Mapping Algorithms for Scalable Recommender Systems. ICTAI 2011: 1077-1084 - 2010
- [c2]Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments. DMIN 2010: 334-342 - [c1]Mustansar Ali Ghazanfar, Adam Prügel-Bennett:
A Scalable, Accurate Hybrid Recommender System. WKDD 2010: 94-98
Coauthor Index
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