How to encourage a lifelong learner? The complex relation between learning strategies and assessment in a medical curriculum
Sign Up to like & getrecommendations! Published in 2019 at "Assessment & Evaluation in Higher Education"
DOI: 10.1080/02602938.2019.1667954
Abstract: Abstract To foster lifelong learning skills, we need new didactic approaches with aligned assessment methods. Therefore, we investigated whether the outcomes of a project assignment show a different relation to learning strategies than a longitudinal… read more here.
Keywords: curriculum; relation learning; learning strategies; relation ... See more keywords
A Constructivist Ontology Relation Learning Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2021.3138452
Abstract: From the perspective of philosophy, ontology relations denote ultimate semantic relations of related knowledge concepts. Beyond doubt, it is still a very difficult problem on how to automatically depict and construct ontology relations because of… read more here.
Keywords: relation learning; knowledge concepts; ontology relation; ontology ... See more keywords
Masked Relation Learning for DeepFake Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3249566
Abstract: DeepFake detection aims to differentiate falsified faces from real ones. Most approaches formulate it as a binary classification problem by solely mining the local artifacts and inconsistencies of face forgery, which neglect the relation across… read more here.
Keywords: masked relation; relation learning; learning deepfake; deepfake detection ... See more keywords
Conditional High-Order Boltzmann Machines for Supervised Relation Learning
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2698918
Abstract: Relation learning is a fundamental problem in many vision tasks. Recently, high-order Boltzmann machine and its variants have shown their great potentials in learning various types of data relation in a range of tasks. But… read more here.
Keywords: supervised relation; order boltzmann; relation learning; high order ... See more keywords
Deep Relation Learning for Regression and Its Application to Brain Age Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3161739
Abstract: Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relationships between different images. In this paper, we propose deep relation learning for regression, aiming to learn… read more here.
Keywords: regression; relation learning; deep relation; learning regression ... See more keywords
Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3228216
Abstract: For practical motor imagery (MI) brain-computer interface (BCI) applications, generating a reliable model for a target subject with few MI trials is important since the data collection process is labour-intensive and expensive. In this paper,… read more here.
Keywords: imagery brain; brain computer; relation learning; motor imagery ... See more keywords
Spatial relation learning in complementary scenarios with deep neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.844753
Abstract: A cognitive agent performing in the real world needs to learn relevant concepts about its environment (e.g., objects, color, and shapes) and react accordingly. In addition to learning the concepts, it needs to learn relations… read more here.
Keywords: spatial relation; relation learning; scenarios deep; learning complementary ... See more keywords