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To all, especially early stage, PhD researchers in process mining, join Han van der Aa and myself in Kopenhagen for a day full of discussion, feedback, and inspiration!

Andrei Buliga explaining his research on XAI in predictive process monitoring at the @EUROonline_News conference, within the stream on Mathematical Optimization for XAI. Jari Peeperkorn Fondazione Bruno Kessler - FBK Fabrizio Maria Maggi Chiara Ghidini, Chiara Di Francescomarino Dolores Romero Morales @doloresromerom.bsky.social

Great to also have @tthildebrandt presenting his work on DCR graphs for XAI during our session @EUROonline_News conference. Jari Peeperkorn Dolores Romero Morales @doloresromerom.bsky.social

And also Jari Peeperkorn presented research led by Alexander Stevens on counterfactuals for OOPPM based on manifold learning. Great session at the @EUROonline_News conference in beautiful Copenhagen at DTU! Dolores Romero Morales @doloresromerom.bsky.social

Tuesday at the @k_conference and another session on the topic of process mining. First up, Jakob De Moor presenting his work on prescriptive process monitoring, in collaboration with Johannes and Hans Weytjens. Stream on MO for XAI Dolores Romero Morales @doloresromerom.bsky.social

Second presentation by Yannis Bertrand on trace clustering and explainability. Work together with Estefanía Serral

Estefanía Serral Third up is Brecht Wuyts explaining his newest transformer model for suffix prediction in PPM. Research in collaboration with Seppe

Estefanía Serral Seppe And finally a non-LIRIS @FEBkuleuven contribution to close this session, by DTU's Hugo A. López talking about understandability of declarative process models and cognitive load theory.

🔥🇫🇷 | Worthy de Jong maakt de tweepunter. De vlaggendrager ziet zijn olympische droom uitkomen. Nederland heeft GOUD! 🤩🥇 #Paris2024 #3x3basketball 📺 Stream Paris 2024 op HBO Max

Process Model Forecasting: Univariate vs Multivariate Approaches. Yongbo Yu, Jari Peeperkorn, Johannes De Smedt and Jochen De Weerdt #ML4PM International Conference on Process Mining (ICPM)