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Haejin Lee
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2020 – today
- 2024
- [c5]Maria Becker, Kanyao Han, Antonina Werthmann, Rezvaneh Rezapour, Haejin Lee, Jana Diesner:
Detecting Impact Relevant Sections in Scientific Research. LREC/COLING 2024: 4744-4749 - [c4]Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch:
Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. LAK 2024: 210-218 - [i2]Zhiwen You, Haejin Lee, Shubhanshu Mishra, Sullam Jeoung, Apratim Mishra, Jinseok Kim, Jana Diesner:
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions. CoRR abs/2407.05271 (2024) - 2023
- [i1]Haejin Lee, Jeongwoo Ju, Jonghyuck Lee, Yeoun Joo Lee, Heechul Jung:
Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models. CoRR abs/2311.05889 (2023) - 2022
- [c3]Samuel Hum, Frank Stinar, Haejin Lee, Jeffrey Ginger, H. Chad Lane:
Classification of Natural Language Descriptions for Bayesian Knowledge Tracing in Minecraft. AIED (2) 2022: 250-253 - [c2]Paul Hur, Haejin Lee, Suma Bhat, Nigel Bosch:
Using Machine Learning Explainability Methods to Personalize Interventions for Students. EDM 2022 - 2021
- [c1]Haejin Lee, Paul Hur, Suma Bhat, Nigel Bosch:
Promoting Self-regulated Learning in Online Learning by Triggering Tailored Interventions. EDM (Workshops) 2021
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last updated on 2024-08-14 22:13 CEST by the dblp team
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