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Lea Cohausz
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Journal Articles
- 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)
Conference and Workshop Papers
- 2024
- [c13]Lea Cohausz, Jakob Kappenberger, Heiner Stuckenschmidt:
Combining Fairness and Causal Graphs to Advance Both. AEQUITAS@ECAI 2024 - [c12]Thilo I. Dieing, Marc Scheffler, Lea Cohausz:
Enhancing Chatbot-Assisted Study Program Orientation. DELFI Workshops 2024: 32 - [c11]Marc Scheffler, Thilo I. Dieing, Lea Cohausz:
Developing a Personalized Study Program Recommender. DELFI Workshops 2024: 33 - [c10]Lea Cohausz, Frederik Baucks, Niels Seidel:
Workshop Learning Analytics: Study Path and Curriculum Analytics. DELFI Workshops 2024: 35 - [c9]Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt:
Fact Probability Vector Based Goal Recognition. ECAI 2024: 4254-4261 - [c8]Lea Cohausz:
Thinking Causally in EDM: A Hands-On Tutorial for Causal Modeling Using DAGs. EDM 2024 - [c7]Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz:
Human-Centric eXplainable AI in Education (HEXED) Workshop. EDM 2024 - [c6]Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz:
Preface. HEXED/L3MNGET@EDM 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 - 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
Editorship
- 2024
- [e1]Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace Walkington:
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024. CEUR Workshop Proceedings 3840, CEUR-WS.org 2024 [contents]
Informal and Other Publications
- 2024
- [i4]Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt:
Fact Probability Vector Based Goal Recognition. CoRR abs/2408.14224 (2024) - 2023
- [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)
Coauthor Index
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