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AlexanderPaulStevens/README.md

Hi there 👋

My name is Alexander Paul Stevens and I am a last year PhD researcher at the Research Centre for Information Systems Engineering (KU Leuven).

  • 🔭 I’m currently working around the explainability and robustness of predictive models used for outcome prediction of process data.

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  1. Manifold-Learning-for-Adversarial-Robustness-in-Predictive-Process-Monitoring Manifold-Learning-for-Adversarial-Robustness-in-Predictive-Process-Monitoring Public

    Complementary code for the work entitled: Manifold Learning for Adversarial Robustness in Process Outcome Prediction

    Python 1

  2. Assessing-the-Robustness-in-Predictive-Process-Monitoring-through-Adversarial-Attacks Assessing-the-Robustness-in-Predictive-Process-Monitoring-through-Adversarial-Attacks Public

    GitHub repository of Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks

    Jupyter Notebook 2

  3. Explainability-in-Process-Outcome-Prediction Explainability-in-Process-Outcome-Prediction Public

    GitHub repository of Explainable Predictive Process Monitoring: Evaluation Metrics and Guidelines for Process Outcome Prediction

    Jupyter Notebook 3 1

  4. Counterfactual-Explanations Counterfactual-Explanations Public

    GitHub repository to generate Plausible and Feasible Counterfactual Explanations in Predictive Process Analytics using Manifold Learning and Declare Language Templates

    Python