| 2024 | IV | An Explainable Artificial Intelligence Solution for the Practical Application of Employee Turnover. | Carson K. Leung, Rayan Imran, Adam G. M. Pazdor, Joglas Souza |
| 2021 | DSAA | Explainable Artificial Intelligence for Data Science on Customer Churn. | Carson K. Leung, Adam G. M. Pazdor, Joglas Souza |
| 2021 | IDEAS | Explainable Data Analytics for Disease and Healthcare Informatics. | Carson K. Leung, Daryl L. X. Fung, Daniel Mai, Qi Wen, Jason Tran, Joglas Souza |
| 2020 | AINA | An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics. | Joglas Souza, Carson K. Leung, Alfredo Cuzzocrea |
| 2020 | HPCC | Prediction of Food Preparation Time for Smart City. | Calvin S. H. Hoi, Carson K. Leung, Joglas Souza |
| 2019 | CCGRID | Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives. | Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza, Syed Khairuzzaman Tanbeer |
| 2019 | DaWaK | Urban Analytics of Big Transportation Data for Supporting Smart Cities. | Carson K. Leung, Peter Braun, Calvin S. H. Hoi, Joglas Souza, Alfredo Cuzzocrea |
| 2018 | DEXA | Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets. | Carson K. Leung, Hao Zhang, Joglas Souza, Wookey Lee |
| 2018 | KES | Item-centric mining of frequent patterns from big uncertain data. | Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza |