Thesis - Generating a Tree-Based Explanation for AI Models
at Produktionstechnik und Automatisierung
70569 Stuttgart, Baden-Württemberg, Germany -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 20 Jul, 2024 | Not Specified | 29 Apr, 2024 | N/A | Good communication skills | No | No |
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| Full Time | Part Time |
| Permanent | Independent - 1099 |
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Description:
Die Fraunhofer-Gesellschaft betreibt in Deutschland derzeit 76 Institute und Forschungseinrichtungen und ist die weltweit führende Organisation für anwendungsorientierte Forschung. Rund 30 800 Mitarbeitende erarbeiten das jährliche Forschungsvolumen von 3,0 Milliarden Euro.
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Explaining the predictions of ML models remains an important yet challenging task for the successful application of ML-based solutions, especially in safety-critical domains. A frequently used explanation method is SHAP (SHapley Additive exPlanations), which measures the contribution of each input feature to the prediction. However, interpreting these explanations can be challenging.
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REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
70569 Stuttgart, Germany
