Multimodal Learning in Health Sciences and Medicine: Merging Technologies to Enhance Student Learning and Communication.
Sign Up to like & getrecommendations! Published in 2019 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-030-31904-5_5
Abstract: Advances in consumer-level educational technologies show great promise for enhancing the learning experiences of students in health and medicine. There are particular benefits to using a combination of various devices and technologies when teaching challenging concepts.… read more here.
Keywords: medicine; multimodal learning; sciences medicine; health sciences ... See more keywords
A Multi-classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3204619
Abstract: Multimodal learning is widely used in automated early diagnosis of Alzheimer's disease. However, the current studies are based on an assumption that different modalities can provide more complementary information to help classify the samples from… read more here.
Keywords: multi classification; disease; alzheimer disease; framework ... See more keywords
Multimodal Learning of Social Image Representation by Exploiting Social Relations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2896100
Abstract: Learning the representation for social images has recently made remarkable achievements for many tasks, such as cross-modal retrieval and multilabel classification. However, since social images contain both multimodal contents (e.g., visual images and textual descriptions)… read more here.
Keywords: representation; social images; social relations; learning social ... See more keywords
Multimodal learning for fetal distress diagnosis using a multimodal medical information fusion framework
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2022.1021400
Abstract: Cardiotocography (CTG) monitoring is an important medical diagnostic tool for fetal well-being evaluation in late pregnancy. In this regard, intelligent CTG classification based on Fetal Heart Rate (FHR) signals is a challenging research area that… read more here.
Keywords: fetal distress; diagnosis; learning fetal; distress diagnosis ... See more keywords
Key factors predicting problem-based learning in online environments: Evidence from multimodal learning analytics
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2023.1080294
Abstract: Problem-based learning (PBL) has been used in different domains, and there is overwhelming evidence of its value. As an emerging field with excellent prospects, learning analytics (LA)—especially multimodal learning analytics (MMLA)—has increasingly attracted the attention… read more here.
Keywords: problem; based learning; pbl; multimodal learning ... See more keywords
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2203.02177
Abstract: Conversations have become a critical data format on social media platforms. Understanding conversation from emotion, content and other aspects also attracts increasing attention from researchers due to its widespread application in human-computer interaction. In real-world… read more here.
Keywords: network; conversation; gcnet; multimodal learning ... See more keywords
Multimodal Learning with Transformers: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2206.06488
Abstract: Transformer is a promising neural network learner, and has achieved great success in various machine learning tasks. Thanks to the recent prevalence of multimodal applications and Big Data, Transformer-based multimodal learning has become a hot… read more here.
Keywords: learning transformers; multimodal learning; transformers survey; transformer ... See more keywords