| Developing AI into explanatory supporting models: An explanation-visualized deep learning prototype H Chen, E Tan, Y Lee, S Praharaj, M Specht, G Zhao 14th International Conference of the Learning Sciences: The …, 2020 | 10* | 2020 |
| Can We Empower Attentive E-reading with a Social Robot? An Introductory Study with a Novel Multimodal Dataset and Deep Learning Approaches Y Lee, M Specht LAK23: 13th International Learning Analytics and Knowledge Conference, 520-530, 2023 | 9 | 2023 |
| WEDAR: Webcam-based Attention Analysis via Attention Regulator Behavior Recognition with a Novel E-reading Dataset Y Lee, H Chen, G Zhao, M Specht Proceedings of the 2022 International Conference on Multimodal Interaction …, 2022 | 9 | 2022 |
| 2nd place scheme on action recognition track of eccv 2020 vipriors challenges: an efficient optical flow stream guided framework H Chen, Z Yu, X Liu, W Peng, Y Lee, G Zhao arXiv preprint arXiv:2008.03996, 2020 | 7 | 2020 |
| FLOWer: Feedback Loop for Group Work Supporter Y Lee, H Chen, E Tan, S Praharaj, M Specht The International Learning Analytics and Knowledge Conference (LAK demo session), 2020 | 6 | 2020 |
| Role of Multimodal Learning Systems in Technology-Enhanced Learning (TEL): A Scoping Review (Best Paper Award Nominee) Y Lee, B Limbu, Z Rusak, M Specht European Conference on Technology Enhanced Learning, 164-182, 2023 | 4 | 2023 |
| Interactive intelligence: Multimodal AI for real-time interaction loop towards attentive e-reading Y Lee Delft University of Technology, 2024 | 3 | 2024 |
| Behavior-based Feedback Loop for Attentive E-reading (BFLAe): A Real-Time Computer Vision Approach Y Lee, G Migut, M Specht International Joint Conferences on Artificial Intelligence (IJCAI-23) 3522, 1-12, 2023 | 3 | 2023 |
| Multimodal SKEP dataset for attention regulation behaviors, knowledge gain, perceived learning experience, and perceived social presence in e-learning with a conversational agent Y Lee, M Specht https://data.4tu.nl/datasets/4c9de645-ca88-4b45-8fc7-2fc325f191dc/1, 2023 | 3 | 2023 |
| What Attention Regulation Behaviors Tell Us About Learners in E-reading?: Adaptive Data-driven Persona Development and Application based on Unsupervised Learning Y Lee, G Migut, M Specht IEEE Access, 1-17, 2023 | 2 | 2023 |
| Unveiling cognitive processes in digital reading through behavioural cues: A hybrid intelligence (HI) approach Y Lee, G Migut, M Specht British Journal of Educational Technology, 2024 | 1 | 2024 |
| Multimodal WEDAR dataset for attention regulation behaviors, self-reported distractions, reaction time, and knowledge gain in e-reading Y Lee, M Specht https://data.4tu.nl/datasets/8f730aa3-ad04-4419-8a5b-325415d2294b/1, 2023 | | 2023 |
| Role of Multimodal Learning Systems in Technology-Enhanced Learning (TEL) Y Lee, BH Limbu, Z Rusak, MM Specht | | 2023 |
| What Attention Regulation Behaviors Tell Us About Learners in E-Reading? Y Lee, MA Migut, MM Specht | | 2023 |
| Noise fatigue in the ICU: platform for sound data collection and visualization: Cacophony Mapper Y Lee | | 2019 |
| Patent: Hyundai WIA mother machine controller bar type Y Lee, WH Oh, MC Choi KR Patent 3,009,075,930,000, 2017 | | 2017 |
| Patent: Hyundai WIA mother machine controller folder type Y Lee, WH Oh, MC Choi KR Patent 3,009,043,320,000, 2017 | | 2017 |
Marcus SpechtProfessor Digital Education, Delft University of TechnologyPatvirtintas el. paštas tudelft.nl