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Lea Cohausz
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2020 – today
- 2024
- [c5]Lea Cohausz
, Jakob Kappenberger
, Heiner Stuckenschmidt
:
What Fairness Metrics Can Really Tell You: A Case Study in the Educational Domain. LAK 2024: 792-799 - 2023
- [c4]Lea Cohausz, Andrej Tschalzev, Christian Bartelt, Heiner Stuckenschmidt:
Investigating the Importance of Demographic Features for EDM-Predictions. EDM 2023 - [c3]Nils Wilken
, Lea Cohausz, Christian Bartelt
, Heiner Stuckenschmidt
:
Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? KI 2023: 231-244 - [i3]Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Heiner Stuckenschmidt:
Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition. CoRR abs/2301.05608 (2023) - [i2]Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Leveraging Planning Landmarks for Hybrid Online Goal Recognition. CoRR abs/2301.10571 (2023) - [i1]Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt:
Planning Landmark Based Goal Recognition Revisited: Does Using Initial State Landmarks Make Sense? CoRR abs/2306.15362 (2023) - 2022
- [j1]Sarah Alturki
, Lea Cohausz, Heiner Stuckenschmidt
:
Predicting Master's students' academic performance: an empirical study in Germany. Smart Learn. Environ. 9(1): 38 (2022) - [c2]Lea Cohausz:
Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science. EDM 2022 - [c1]Lea Cohausz, Nils Wilken
, Heiner Stuckenschmidt
:
Plan-Similarity Based Heuristics for Goal Recognition. PerCom Workshops 2022: 316-321
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