Journal Papers:
Wasid, M. and Ali, R., “A Frequency Count Approach to Multi-Criteria Recommender System Based on Criteria weighting using Particle Swarm Optimization”, Applied Soft Computing, Elsevier, vol. 112, p. 107782, 2021. Indexed in Scopus, Web of Science SCIE, DBLP [IF 6.725; Q1] [PDF]
Wasid, M. and Ali, R., “Fuzzy Side Information Clustering-Based Framework for Effective Recommendations”, Computing and Informatics, Slovak Academy of Sciences, Slovakia, vol. 38, no. 3, pp. 597–620, 2019. Indexed in SCIE Web of Science, Scopus, DBLP [IF 0.496] [PDF]
Wasid, M. and Ali, R., “Multi-criteria clustering-based recommendation using Mahalanobis distance”, International Journal of Reasoning-based Intelligent Systems, Inderscience Publishers, Switzerland, vol. 12, no. 2, pp. 96-105, 2020. Indexed in Scopus, DBLP. [PDF]
Wasid, M., Ali, R. and Kant, V., “Particle swarm optimisation-based contextual recommender systems”, International Journal of Swarm Intelligence, Inderscience Publishers, Switzerland, vol. 3, no. 2-3, pp. 170-191, 2017. Indexed in Asian Digital Library, cnpLINKer.
Wasid, M. and Ali, R., “An improved recommender system based on multi-criteria clustering approach”, Procedia Computer Science”, Elsevier, vol. 131, pp. 93-101, 2018. Indexed in Scopus, DBLP, CPCI Web of Science. [PDF]
Wasid, M. and Kant, V., “A Particle Swarm Approach to Collaborative Filtering based Recommender Systems through Fuzzy Features”, Procedia Computer Science”, Elsevier, vol. 54, pp. 440-448, 2015. Indexed in Scopus, DBLP, CPCI Web of Science. [PDF]
Nadeem, M., Nadeem M., Wasid, M., Alam, MT, Sohail, SS, Shakil, and Ubaid, S., “Performance Comparison of Randomized and Non-Randomized Learning Algorithms for Movie Genre Preference Classification”, Journal of Ambient Intelligence & Humanized Computing, Elsevier, Expected: 2022. (Under review) Indexed in Scopus, Web of Science SCIE, DBLP [Impact Factor 7.104; Q1]
Conference Papers:
Wasid, M. and Ali, R., “Clustering Approach for Multidimensional Recommender Systems”, In Proceedings of the IEEE International Conference on Data Mining Workshops (ICDMW), IEEE press, pp. 1122-1127, 2018. (Scopus Indexed)
Wasid, M., Kant, V. and Ali, R., “Frequency-based similarity measure for context-aware recommender systems”, In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE press. pp. 627-632, 2016. (Scopus Indexed)
Gupta N., Wasid, M. and Ali, R., “Analysis of Complex Data in Telecommunications Industry", In Proceedings of the International Conference on Computer and Information Technology, IEEE, pp. 104-107, 2016. (Scopus Indexed)
Wasid, M., Ali, R. and Gupta, R., “Personalized Recommendation Framework for e-Government Services”, In Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, EAI CORE proceedings, pp. 239-246, 2021.
Wasid, M., Ali, R., Shafeeque U. B. and Baheti P. K., “Incorporating Side Information into Collaborative Filtering through User Clustering”, In Proceedings of the International Conference on Recent Development in Engineering Sciences, Humanities and Management, pp. 229-233, 2020. ISBN: 978-81-943584-9-7.
Wasid, M. and Ali, R., “A Recommender System framework for Personalized e-Government Services”, In Proceedings of the International Conference on Recent Development in Engineering Sciences, Humanities and Management, pp. 234-240, 2020. ISBN: 978-81-943584-9-7.
Book Chapters:
Wasid, M. and Ali, R., “Context Similarity Measurement Based on Genetic Algorithm for Improved Recommendations”, In Applications of Soft Computing for the Web, Editors: Rashid Ali and M. M. Sufyan Beg, Springer Nature, Singapore, pp. 11-29, 2017.
Wasid, M. and Ali, R., “Use of soft computing techniques for recommender systems: an overview”, In Applications of Soft Computing for the Web, Editors: Rashid Ali and M. M. Sufyan Beg, Springer Nature, Singapore, pp. 61-80, 2017.
Books:
1. Machine learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques, Editors: Sheikh, TA, Hakak, S., Wasid, M., and Rasool, T., Publisher: CRC Press (Taylor Francis Group), Status: submission open, Expected: 2022.
ISBN: 978-1-032-20830-5 https://sites.google.com/view/crcbook
2. AI-Enabled IoT for Smart Healthcare Systems, Editors: Sheikh, TA, Wasid, M., and Rasool, T., Publisher: Nova Science Publishers, New York, USA, Status: accepting full submission, Expected: 2022. https://sites.google.com/view/nova-book/home