GitHub repository of Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring
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Updated
Nov 11, 2021 - Jupyter Notebook
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predictive-process-monitoring
Here are 6 public repositories matching this topic...
Code of experiments implemented in the paper "Explainability of Predictive Process Monitoring results: Techniques, Experiments and Lessons Learned", comparing XAI methods at different granularities (global/local) with different settings on predictive process monitoring outcomes using process mining event logs
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Updated
Sep 2, 2022 - HTML
On the Potential of Textual Data for Explainable Predictive Process Monitoring (ICPM 2022)
machine-learning
natural-language-processing
explainable-artificial-intelligence
predictive-process-monitoring
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Sep 29, 2022 - Jupyter Notebook
Demo of Predictive Process Monitoring Dashboard using Streamlit over Recurrent Neural Network (LSTM) model on Sepsis Dataset.
python
machine-learning
deep-learning
lstm
demo-app
process-mining
streamlit
predictive-process-monitoring
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Updated
Oct 17, 2021 - Python
SGAP: Enhancing Predictive Process Monitoring with Sequential Graphs and Trace Attention
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Updated
Dec 15, 2023 - Python
Master Thesis Project Repository: Predictive Process Monitoring Dashboard for Emulating LSTM Models over Business Processes and its Qualitative Evaluation
machine-learning
deep-learning
random-forest
master-thesis
feature-engineering
process-mining
lstm-neural-networks
master-project
streamlit
predictive-process-monitoring
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Updated
Oct 19, 2022 - Jupyter Notebook
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