Mustansar Ali Ghazanfar

According to our database1, Mustansar Ali Ghazanfar authored at least 37 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A reinforcement learning recommender system using bi-clustering and Markov Decision Process.
Expert Syst. Appl., March, 2024

2023
A computer-aided speech analytics approach for pronunciation feedback using deep feature clustering.
Multim. Syst., June, 2023

A Meta-Heuristic Optimization Based Less Imperceptible Adversarial Attack on Gait Based Surveillance Systems.
J. Signal Process. Syst., March, 2023

Shifting the Weight: Applications of AI in Olympic Weightlifting.
Proceedings of the 28th IEEE Pacific Rim International Symposium on Dependable Computing, 2023

2022
A novel DeepMaskNet model for face mask detection and masked facial recognition.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Asset criticality and risk prediction for an effective cybersecurity risk management of cyber-physical system.
Neural Comput. Appl., 2022

Stock market prediction using machine learning classifiers and social media, news.
J. Ambient Intell. Humaniz. Comput., 2022

2020
Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis.
Soft Comput., 2020

Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems.
Soft Comput., 2020

A novel centroids initialisation for K-means clustering in the presence of benign outliers.
Int. J. Data Anal. Tech. Strateg., 2020

An Improved Product Recommendation Method for Collaborative Filtering.
IEEE Access, 2020

Identifying Users with Wearable Sensors based on Activity Patterns.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

2019
An IoT based efficient hybrid recommender system for cardiovascular disease.
Peer-to-Peer Netw. Appl., 2019

Social media signal detection using tweets volume, hashtag, and sentiment analysis.
Multim. Tools Appl., 2019

Optimized Gabor Feature Extraction for Mass Classification Using Cuckoo Search for Big Data E-Healthcare.
J. Grid Comput., 2019

A performance comparison of machine learning classification approaches for robust activity of daily living recognition.
Artif. Intell. Rev., 2019

Mispronunciation Detection Using Deep Convolutional Neural Network Features and Transfer Learning-Based Model for Arabic Phonemes.
IEEE Access, 2019

Kernel Context Recommender System (KCR): A Scalable Context-Aware Recommender System Algorithm.
IEEE Access, 2019

2018
A dimensionality reduction-based efficient software fault prediction using Fisher linear discriminant analysis (FLDA).
J. Supercomput., 2018

Pain Prediction in Humans using Human Brain Activity Data.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A Jaccard base similarity measure to improve performance of CF based recommender systems.
Proceedings of the 2018 International Conference on Information Networking, 2018

2017
Scalable and practical One-Pass clustering algorithm for recommender system.
Intell. Data Anal., 2017

Prediction of Stock Market by Principal Component Analysis.
Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017

2016
Inference Engine Based on a Hierarchical Structure for Detecting Everyday Activities Within the Home.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

2015
Novel centroid selection approaches for KMeans-clustering based recommender systems.
Inf. Sci., 2015

Experimenting switching hybrid recommender systems.
Intell. Data Anal., 2015

A scalable and practical one-pass clustering algorithm for recommender system.
Proceedings of the Eighth International Conference on Machine Vision, 2015

Inference of activities with unexpected actions using pattern mining.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems.
Expert Syst. Appl., 2014

Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey.
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014

2013
The Advantage of Careful Imputation Sources in Sparse Data-Environment of Recommender Systems: Generating Improved SVD-based Recommendations.
Informatica (Slovenia), 2013

Exploiting context in kernel-mapping recommender system algorithms.
Proceedings of the Sixth International Conference on Machine Vision, 2013

2012
Robust, scalable, and practical algorithms for recommender systems.
PhD thesis, 2012

Kernel-Mapping Recommender system algorithms.
Inf. Sci., 2012

2011
Incremental Kernel Mapping Algorithms for Scalable Recommender Systems.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
A Scalable, Accurate Hybrid Recommender System.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

Novel Significance Weighting Schemes for Collaborative Filtering: Generating Improved Recommendations in Sparse Environments.
Proceedings of The 2010 International Conference on Data Mining, 2010


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