Publications
Academic
- Bernard, G; Coudert, R.; Chapuis B.; Huguenin, K
(2023). An Empirical Study of the Usage of Checksums for Web Downloads. In Proceedings of the ACM Web Conference 2023 (WWW)
- Bernard, G., & Andritsos, P. (2021). Selecting Representative Sample Traces from Large Event Logs. In 3rd International Conference on Process Mining (ICPM)
- Bernard, G., & Andritsos, P. (2021). VisuELs: Visualization of Event Logs (Extended Abstract). Demo Paper. In 3rd International Conference on Process Mining (ICPM) Best Demo Award
- Bernard, G., & Senderovich, A., & Andritsos, P. (2021). Cut to the Trace! Process-Aware Partitioning of Long-Running Cases in Customer Journey Logs. In 33rd International Conference on Advanced Information Systems Engineering (CAiSE), pages 519-535, Cham. Springer.
- Bernard, G. (2020). Process Mining-based Customer Journey Analytics. PhD Thesis. University of Lausanne, Faculty of Business and Economics (HEC), Switzerland.
- Bernard, G., & Andritsos, P. (2020). Truncated trace classifier. removal of incomplete traces from event logs. In 21st International Working Conference on Business Process Modeling, Development, and Support (BPMDS), pages 150–165, Cham. Springer.
- Bernard, G., & Andritsos, P. (2019). Contextual and behavioral customer journey discovery using a genetic approach. In 23rd European Conference on Advances in Databases and Information Systems (ADBIS), pages 251–266, Cham. Springer.
- Bernard, G., & Andritsos, P. (2019). Accurate and transparent path prediction using process mining. In 23rd European Conference on Advances in Databases and Information Systems (ADBIS), pages 235–250, Cham. Springer. Best Paper Award
- Bernard, G., & Andritsos, P. (2019). Discovering customer journeys from evidence: A genetic approach inspired by process mining. In Forum and Doctoral Consortium Papers Presented at the 31st International Conference on Advanced Information Systems Engineering (CAiSE Forum), pages 36–47, Cham. Springer.
- Bernard, G., & Andritsos, P. (2018). Cjm-ab: Abstracting customer journey maps using process mining. In Forum and Doctoral Consortium Papers Pre- sented at the 30th International Conference on Advanced Information Systems Engineering (CAiSE Forum), pages 49–56, Cham. Springer.
- Harbich, M., Bernard, G., Berkes, P., Garbinato, B., & Andritsos, P. (2017). Discovering Customer Journey Maps using a Mixture of Markov Models. In IFIP 2.6 International Symposium on Data-Driven Process Discovery and Analysis (simpda2017)
- Bernard, G., & Andritsos, P. (2017). Cjm-ex: Goal-oriented exploration of customer journey maps using event logs and data analytics. In BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Management (BPM Demo).
- Bernard, G., & Andritsos, P. (2017). A process mining based model for customer journey mapping. In Forum and Doctoral Consortium Papers Pre- sented at the 29th International Conference on Advanced Information Systems Engineering (CAiSE Forum), pages 49–56. CEUR workshop proceedings.
- Bernard, G., Boillat, T., Legner, C., & Andritsos, P. (December 2016). When sales meet process mining: A scientific approach to sales process and performance management. In 37th International Conference on Information Systems (ICIS, Research-in-Progress).
Seminar
- Bernard, G. (2022). Learn about Artificial Intelligence from a Swiss Expert. For the Swiss Canadian Chamber of Commerce.
Patents
- Accurate and transparent path prediction using process mining
- Data visualization platform for event-based behavior clustering
Press Coverage
- Research team wins best paper for ‘VisuEls’, Periodic from the Faculty of Information, Faculty of Information (December 2021)
- L’apprentissage, une base solide pour des études supérieures, 24 Heures (November 2020)
- What No One Tells You About: Customer Journey Mapping Can Be Paired With Process Intelligence, TimelinePI (2017)
- Bernard, G., Boillat, T., Legner, C., & Andritsos, P. (September 2016). Le Process Mining appliqué aux ventes, ICT Journal (Swiss IT magazine)
