AlexanderPaulStevens

Pinned Repositories

• Manifold-Learning-for-Adversarial-Robustness-in-Predictive-Process-Monitoring

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

  Language:Python10

• Assessing-the-Robustness-in-Predictive-Process-Monitoring-through-Adversarial-Attacks

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

  Language:Jupyter Notebook20

• Explainability-in-Process-Outcome-Prediction

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

  Language:Jupyter Notebook31

• Counterfactual-Explanations

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

  Language:Python00

• Quantifying-Explainability

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

  Language:Jupyter Notebook61

• AdversarialBP

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• AlexanderPaulStevens

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• alexanderpaulstevens.github.io

  ✨ The GitPage of Alexander Paul Stevens

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• dropout-in-rnn

  This is my master thesis project. The goal is to apply dropout within RNN in order to obtain uncertainty for predictions.

  Language:Jupyter Notebook00

• Explainability-and-Fairness-in-Machine-Learning-Improve-Fair-End-to-end-Lending-for-Kiva

  This project investigated the explainability and fairness of microfinancing, more specifically on lending data from Kiva. Several bias mitigation techniques were compared based on their explainability, fairness and performance.

  Language:Jupyter Notebook00

AlexanderPaulStevens's Repositories