Automatic extraction of relevant features from time series:

A Fast Self-Organizing Map Python Library Implemented in Numba

Process Mining Embeddings: Learning Representations for Petri Nets

Generalization in predictive process monitoring.

GitHub repository of Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring

Package for assessment of calibration in binomial prediction models.

Evemt log filter that allows milti-range filtering of variants and activities

Repoitory containing the code and data supplementing the paper "PU Learning in Outcome-Oriented Predictive Process Monitoring"

Part of the notebooks presented at the UN Big Data Hackaton 2022. This analysis was awarded best in Oceania