Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study

R Hornung, F Ludwigs, J Hagenberg… - Wiley Interdisciplinary …, 2024 - Wiley Online Library
As the availability of omics data has increased in the last few years, more multi‐omics data
have been generated, that is, high‐dimensional molecular data consisting of several types …

[HTML][HTML] Imputation of missing values in multi-view data

W van Loon, M Fokkema, F de Vos, M Koini, R Schmidt… - Information …, 2024 - Elsevier
Data for which a set of objects is described by multiple distinct feature sets (called views) is
known as multi-view data. When missing values occur in multi-view data, all features in a …

Classroom attention estimation method based on mining facial landmarks of students

L Chen, H Yang, K Liu - International Conference on Multimedia Modeling, 2022 - Springer
Classroom attention estimation aims to capture the multi-modal semantic information
contained in the teaching situation and analyze the level of concentration and participation …

Enhancing affect detection in game-based learning environments with multimodal conditional generative modeling

N Henderson, W Min, J Rowe, J Lester - Proceedings of the 2020 …, 2020 - dl.acm.org
Accurately detecting and responding to student affect is a critical capability for adaptive
learning environments. Recent years have seen growing interest in modeling student affect …

The Dynamical Measurement and Modeling of Metacognition and Engagement using Self-report and Multimodal data with Advanced Learning Technologies

M Wiedbusch - 2023 - stars.library.ucf.edu
Interdisciplinary research has demonstrated that learning and problem solving with
advanced learning technologies (ALTs) such as intelligent tutoring systems, simulations …