Search Results for author: Johannes De Smedt

Found 5 papers, 2 papers with code

Predicting student performance using sequence classification with time-based windows

no code implementations16 Aug 2022 Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt

A growing number of universities worldwide use various forms of online and blended learning as part of their academic curricula.


Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models

1 code implementation30 Mar 2022 Alexander Stevens, Johannes De Smedt

In this paper, we define explainability through the interpretability of the explanations and the faithfulness of the explainability model in the field of process outcome prediction.

Explainable artificial intelligence Predictive Process Monitoring

Conformance Checking of Mixed-paradigm Process Models

no code implementations23 Nov 2020 Boudewijn van Dongen, Johannes De Smedt, Claudio Di Ciccio, Jan Mendling

They are specifically interesting for process mining because they allow capturing complex behaviour in a compact way.

Predictive Process Model Monitoring using Recurrent Neural Networks

no code implementations5 Nov 2020 Johannes De Smedt, Jochen De Weerdt

To achieve this, Processes-As-Movies (PAM) is introduced, i. e., a novel technique capable of jointly mining and predicting declarative process constraints between activities in various windows of a process' execution.

Predictive Process Monitoring Time Series Forecasting

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