Jari Peeperkorn

[1/5] How do we make object-centric data ingestion flexible, scalable, and maintainable? Our latest collaboration (with Lien Bosmans, Alexandre Goossens, @Gio_Lugaresi, @Johannnesss, and @jochendw ) discusses this from a data-engineering perspective. arxiv.org/abs/2410.00596

📢 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀: #𝗕𝗣𝗠𝟮𝟬𝟮𝟲 𝗶𝗻 𝗧𝗼𝗿𝗼𝗻𝘁𝗼!🍁 Are you a BPM expert? Share your knowledge at the BPM Conference. 🗓️ Deadline: May 19, 2026 (AoE) 🔗 lnkd.in/eMNjRuWu #BPM #CallForTutorials #Toronto

📢 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗝𝗼𝘂𝗿𝗻𝗮𝗹-𝗙𝗶𝗿𝘀𝘁 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 #𝗕𝗣𝗠𝟮𝟬𝟮𝟲 📓 ✅ Eligible if: • Fits BPM scope • Journal-only (no prior conf. version) • Published ≥ Mar 1, 2025 🗓️ Deadline: May 19, 2026 (AoE) 🔗 lnkd.in/eJkBTx92 #BPM #JournalFirst #Toronto

Take a look! 🚀 Don't miss the opportunity to contribute to #BPM2026 workshops: yorku.ca/events/bpm2026… 📅 Workshop paper submission: June 5 #BPM2026 #Workshop #Toronto

🚨 BPM 2026 Paper Deadline Extended! Good news for authors: the paper submission deadline for BPM 2026 has been extended to 𝗠𝗮𝗿𝗰𝗵 𝟮𝟬𝘁𝗵 𝗔𝗼𝗘. If you submitted your abstract, you now have an extra week to polish your paper. #BPM2026 #CallForPapers

⏳𝟭 𝗪𝗲𝗲𝗸 𝗟𝗲𝗳𝘁! 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗕𝗣𝗠 𝟮𝟬𝟮𝟲 (𝗧𝗼𝗿𝗼𝗻𝘁𝗼) 𝗮𝗿𝗲 𝗱𝘂𝗲 𝗠𝗮𝗿𝗰𝗵 𝟲𝘁𝗵!

⏳Just 1 month left to submit your research paper! 📌 Abstract submission: March 6 📄 Paper submission: March 13 Don’t miss it! #BPM2026 #BPM #Toronto

📢 Call for Papers - BPM 2026 (Toronto, Canada) Choose your track: - Track I: Foundations 📐 - Track II: Engineering ⚙️ - Track III: Management 🤝 📅 Key Dates (AoE): Abstract 6 Mar | Paper 13 Mar | Notification 8 May 🔗 Full CFP: yorku.ca/events/bpm2026… #BPM2026

🚨 8 days left to submit your workshop proposal for #BPM2026!

📢Call for Workshop Proposals — BPM 2026 (Toronto, Canada) #BPM2026 invites dynamic workshop proposals. Submit your proposal by December 10, 2025. More info: yorku.ca/events/bpm2026… #BPM #BusinessProcessManagement #DigitalTransformation

The paper is already online: (5/5) link.springer.com/chapter/10.100…

Additionally, we explore the use of adjusted and customizable loss functions that allow end-users to find the optimal independence-predictive performance trade-off for their specific problem. (4/5)

Happy to be in Vienna this week for the CAiSE Conference! 📣 Catch our talk on Wednesday at 16:00 titled "Achieving Group Fairness through Independence in Predictive Process Monitoring", work in collaboration with Simon De Vos. (1/5)

Process Model Forecasting: Univariate vs Multivariate Approaches. Yongbo Yu, Jari Peeperkorn, Johannes De Smedt and Jochen De Weerdt #ML4PM @icpm_conf

@Macuyiko But I still like the local renders the most. Solely because it includes my ridiculous looking character.

Blizzard popped of with Vessel of Hatred - fantastic cinematics. Better than what you could ever see on Netflix tbh

[5/5] And which also contains other functionalities such as automated data quality tests , on-demand data extraction to various event log formats, and visualisation for interactive data exploration. The repository can be found here: github.com/LienBosmans/st…

[4/5] We also introduce the Stack't tool, an end-to-end solution that implements the relational schema using a lightweight, open-source data stack, which is able to efficiently ingest process data from different sources.

[1/5] How do we make object-centric data ingestion flexible, scalable, and maintainable? Our latest collaboration (with Lien Bosmans, Alexandre Goossens, @Gio_Lugaresi, @Johannnesss, and @jochendw ) discusses this from a data-engineering perspective. arxiv.org/abs/2410.00596