That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Daghay, H. (2025) Applied Behavior Analysis: Foundations for Supporting Diverse Learning Needs of Autistic Students in ...
Abstract: Conventional semi-supervised learning (SSL) encounters challenges in effectively addressing issues associated with long-tail datasets, primarily stemming from imbalances within a dataset.
1 School of Computer Engineering, Suzhou Polytechnic University, Suzhou, China 2 College of Science Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China The proliferation of digital ...
Circular RNAs (circRNAs) are a unique class of non-coding RNAs with stable covalently closed structures that play key regulatory roles in gene expression and drug response. However, experimental ...
As Random Contrast Learning™ enters a new chapter of growth and adoption, Lumina AI announces the return of co-inventors, Ben and Sam Martin, to lead groundbreaking research and unlock new frontiers ...
Abstract: X-ray phase contrast imaging significantly improves the visualization of structures with weak or uniform absorption, broadening its applications across a wide range of scientific disciplines ...
Politicians used to care how much students learn. Now, to find a defense of educational excellence, we have to look beyond politics. Credit...Photo illustration by Alex Merto Supported by By Dana ...
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