Mustansar Ali Ghazanfar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 23

Top Venues

IEEE Access

Expert Syst. Appl.

Intell. Data Anal.

Soft Comput.

University of Southampton, UK (PHD)

Education History

University of Southampton, UK

PHD

Publications

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) (2024)
Daniel Bolarinwa, Nadeem Qazi, Mustansar Ali Ghazanfar
Shifting the Weight: Applications of AI in Olympic Weightlifting. PRDC (2023)
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) (2023)
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) (2023)
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 (Issue 10, Part B) (2022)
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) (2022)
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) (2020)
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) (2020)
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)
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) (2020)
Arta Iftikhar, Mustansar Ali Ghazanfar, Mubbashir Ayub, Zahid Mehmood, Muazzam Maqsood
An Improved Product Recommendation Method for Collaborative Filtering. IEEE Access 8 (2020)
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 (2019)
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) (2019)
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) (2019)
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) (2019)
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) (2019)
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 (2019)
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)
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) (2018)
Mubbashir Ayub, Mustansar Ali Ghazanfar, Muazzam Maqsood, Asjad Saleem
A Jaccard base similarity measure to improve performance of CF based recommender systems. ICOIN (2018)
Muhammad Waqar, Hassan Dawood, Ping Guo, Muhammad Bilal Shahnawaz, Mustansar Ali Ghazanfar
Prediction of Stock Market by Principal Component Analysis. CIS (2017)
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) (2017)
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)
Asra Khalid, Mustansar Ali Ghazanfar, Muhammad Awais Azam, Saad Ali Alahmari
A scalable and practical one-pass clustering algorithm for recommender system. ICMV (2015)
Shamila Nasreen, Muhammad Awais Azam, Usman Naeem, Mustansar Ali Ghazanfar
Inference of activities with unexpected actions using pattern mining. UbiComp/ISWC Adjunct (2015)
Mustansar Ali Ghazanfar
Experimenting switching hybrid recommender systems. Intell. Data Anal. 19 (4) (2015)
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 (2015)
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)
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems. Expert Syst. Appl. 41 (7) (2014)
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) (2013)
Mustansar Ali Ghazanfar, Adam Prupsilongel-Bennett
Exploiting context in kernel-mapping recommender system algorithms. ICMV (2013)
Mustansar Ali Ghazanfar, Adam Prügel-Bennett, Sándor Szedmák
Kernel-Mapping Recommender system algorithms. Inf. Sci. 208 (2012)
Mustansar Ali Ghazanfar, Sándor Szedmák, Adam Prügel-Bennett
Incremental Kernel Mapping Algorithms for Scalable Recommender Systems. ICTAI (2011)
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
A Scalable, Accurate Hybrid Recommender System. WKDD (2010)
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments. DMIN (2010)

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Publication Activity (10 Years)

Top Topics

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Mustansar Ali Ghazanfar