| 2024 | CBMS | Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification. | Jakob Svane, Tomasz Wiktorski, Trygve Eftestl, Stein rn |
| 2022 | ICCS | Transfer Learning Approach to Prediction of Rate of Penetration in Drilling. | Felix James Pacis, Sergey Alyaev, Adrian Ambrus, Tomasz Wiktorski |
| 2021 | EDUCON | EDISON Data Science Framework (EDSF): Addressing Demand for Data Science and Analytics Competences for the Data Driven Digital Economy. | Yuri Demchenko, Juan Jose Cuadrado-Gallego, Steve Brewer, Tomasz Wiktorski |
| 2019 | ICDM | Approximate Approach to Finding Generic Utility of Sequential Patterns. | Tomasz Wiktorski, Jerry Chun-Wei Lin |
| 2018 | FedCSIS | ECG Signal Analysis for Troponin Level Assessment and Coronary Artery Disease Detection: the NEEDED Study 2014. | Dominika Dlugosz, Aleksandra Krlak, Trygve Eftestl, Stein rn, Tomasz Wiktorski, Kay Raymond Jenssen Oskal, Martin Nygrd |
| 2018 | FedCSIS | Challenges in Causal Inference from Personal Monitoring Devices. | Tomasz Wiktorski |
| 2017 | CloudCom | Customisable Data Science Educational Environment: From Competences Management and Curriculum Design to Virtual Labs On-Demand. | Yuri Demchenko, Adam Belloum, Cees de Laat, Charles Loomis, Tomasz Wiktorski, Erwin Spekschoor |
| 2017 | CloudCom | Model Curricula for Data Science EDISON Data Science Framework. | Tomasz Wiktorski, Yuri Demchenko, Adam Belloum |
| 2017 | FedCSIS | The North Sea Bicycle Race ECG Project: Time-Domain Analysis. | Dominika Dlugosz, Trygve Eftestl, Stein rn, Tomasz Wiktorski, Aleksandra Krlak |
| 2016 | BigData | SD-HDFS: Secure Deletion in Hadoop Distributed File System. | Bikash Agrawal, Raymond A. Hansen, Chunming Rong, Tomasz Wiktorski |
| 2016 | CloudCom | EDISON Data Science Framework: A Foundation for Building Data Science Profession for Research and Industry. | Yuri Demchenko, Adam Belloum, Wouter Los, Tomasz Wiktorski, Andrea Manieri, Holger Brocks, Jana Becker, Dominic Heutelbeck, Matthias L. Hemmje, Steve Brewer |
| 2016 | CloudCom | Quantitative and Qualitative Analysis of Current Data Science Programs from Perspective of Data Science Competence Groups and Framework. | Tomasz Wiktorski, Yuri Demchenko, Adam Belloum, Anoosheh Shirazi |
| 2016 | ISPDC | Adaptive Anomaly Detection in Cloud Using Robust and Scalable Principal Component Analysis. | Bikash Agrawal, Tomasz Wiktorski, Chunming Rong |
| 2016 | UCC | Enrichment of machine learning based activity classification in smart homes using ensemble learning. | Bikash Agrawal, Antorweep Chakravorty, Tomasz Wiktorski, Chunming Rong |
| 2015 | CloudCom | Data Science Professional Uncovered: How the EDISON Project will Contribute to a Widely Accepted Profile for Data Scientists. | Andrea Manieri, Steve Brewer, Ruben Riestra, Yuri Demchenko, Matthias L. Hemmje, Tomasz Wiktorski, Tiziana Ferrari, Jrmy Frey |
| 2015 | CloudCom | Experience with Problem-Based Learning in a Hybrid Classroom. | Tomasz Wiktorski, Thomas J. Hacker, Raymond A. Hansen, Gregory P. Rodgers |
| 2015 | ICDM | AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics. | Lars Ropeid Selsaas, Bikash Agrawal, Chunming Rong, Tomasz Wiktorski |