Kress, G. (2009) `Assessment in the perspective of a social semiotic theory of multimodal teaching and learning', in Cummings, J. and Wyatt-Smith, C. (eds) Educational Assessment in the 21st Century, Chapter 2. New York: Springer.
W. Vaughan, “A theory of learning from different domains,” Machine learning, vol. 79, no. 1, pp. 151–175, 2010. [102] K. Saito, K. Watanabe, Y. Ushiku, and T. Harada, “Maximum classifier discrepancy for unsupervised domain adaptation,” in Proceedings of the IEEE conference on...
Class-Incremental Learning: A Survey 2024 TPAMI A Comprehensive Survey of Continual Learning: Theory, Method and Application 2024 TPAMI Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey 2024 Arxiv Federated Continual Learning for Edge-AI: A Comprehensive Survey 2024 Arxiv...
[5]Worsley M,Blikstein P.Deciphering the practices and affordances of different reasoning strategies through multimodal learning analytics[C]//Proceedings of the 2014 ACM Workshop on Multimodal Learning Analytics Workshop and Grand ...
Yet, the potential applications of an interactive multimodal AI copilot for pathology are immense. The ability to understand and respond to complex queries in natural language could, in theory, enable such a copilot for pathology to serve as a helpful companion across various stages of human-in...
Multiview machine learning:another term for multimodal machine learning. Data fusion:the specific methodologies undertaken to perform data integration for multimodal/multiview machine learning; they come in three broad categories: early, intermediate/joint, and late. ...
fastmath - A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries matlib - A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.Extra...
Several studies have developed multimodal DNN approaches to provide comprehensive insight into the disease progression [22,23,24,25]. While such studies have achieved convincing results, it is worth noting that, in theory, DNNs exhibit suboptimal performance when dealing with inputs that contain ...
Digital storytelling is a practice that promotes active learning for students ((Kim & Jia, 2020)). Its product, digital stories, are short videos of 2-5 minutes that incorporate traditional storytelling components using multimodal elements such as images, voiceover, audio, video and animations (Gr...
Single-cell multimodal sequencing technologies are developed to simultaneously profile different modalities of data in the same cell. It provides a unique opportunity to jointly analyze multimodal data at the single-cell level for the identification of d