Enhancing recommendation systems with hybrid manifold regularized knowledge graph.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic.
Web Intell., 2022
Domain-specific NLP system to support learning path and curriculum design at tech universities.
Comput. Educ. Artif. Intell., 2022
CRS - A hybrid Course Recommendation System for Software Engineering Education.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training, 2022
Leveraging unstructured call log data for customer churn prediction.
Knowl. Based Syst., 2021
Machine Learning Algorithms for Wealth Data Analytics
PhD thesis, 2020
Deep learning for decision making and the optimization of socially responsible investments and portfolio.
Decis. Support Syst., 2019
Multimodal Mixture Density Boosting Network for Personality Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Client Churn Prediction with Call Log Analysis.
Proceedings of the Database Systems for Advanced Applications, 2018
The volatility of Bitcoin returns and its correlation to financial markets.
Proceedings of the 2017 International Conference on Behavioral, 2017