Performance Skyline: Inferring Process Performance Models from Interval Events. - Andrea Maldonado 001; Janina Sontheim; Florian Richter 001; Thomas Seidl 001 (ICPM Workshops, 2020)

OTOSO: Online Trace Ordering for Structural Overviews. - Florian Richter 001; Andrea Maldonado 001; Ludwig Zellner; Thomas Seidl 001 (ICPM Workshops, 2020)

Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. - Ludwig Zellner; Florian Richter 001; Janina Sontheim; Andrea Maldonado 001; Thomas Seidl 001 (ICPM Workshops, 2020)

FEEED: Feature Extraction from Event Data. - Andrea Maldonado 001; Gabriel Marques Tavares; Rafael Seidi Oyamada; Paolo Ceravolo; Thomas Seidl 001 (ICPM Doctoral Consortium / Demo, 2023)

Process Mining Techniques for Collusion Detection in Online Exams. - Andrea Maldonado 001; Ludwig Zellner; Sven Strickroth; Thomas Seidl 001 (ICPM Workshops, 2023)

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. - Andrea Maldonado 001; Christian M. M. Frey; Gabriel Marques Tavares; Nikolina Rehwald; Thomas Seidl 001 (BPM, 2024)

DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. - Anna Beer 001; Olivér Palotás; Andrea Maldonado 001; Andrew Draganov; Ira Assent (ICDE, 2024)

iGEDI: interactive Generating Event Data with Intentional Features. - Andrea Maldonado 001; Sai Anirudh Aryasomayajula; Christian M. M. Frey; Thomas Seidl 001 (ICPM Doctoral Consortium / Demo, 2024)

Data-Driven Approaches Towards Transparent Benchmarking of Process Mining Tasks. - Andrea Maldonado 001 (ICPM Doctoral Consortium / Demo, 2024)

BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction. - Simon Rauch; Christian M. M. Frey; Andrea Maldonado 001; Thomas Seidl 001 (BPM, 2025)