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) ...
1 School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China 2 College of Information Science and Technology, Nanjing Forestry University, Nanjing, China ...
Elon Musk is teasing a new Tesla ‘Full Self-Driving Supervised’ (FSD) update with “10x improvements”, but historical performance compared to Musk’s announcements suggests that it’s safer to manage ...
Abstract: Graph contrastive learning (GCL) has emerged as a powerful method for dealing with noise and fluctuations in graph-structured data, and can be applied to social networks and knowledge graphs ...
Introduction: Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the ...
Starting September 1, 2025, the Bureau will begin receiving new and converted Electronic Surety Bonds (ESB) through NMLS for supervised lender licensees. All businesses with existing Maine supervised ...
Abstract: Multiview clustering (MVC) aims to integrate multiple related but different views of data to achieve more accurate clustering performance. Contrastive learning has found many applications in ...
"Am I limiting my child’s future by choosing self-led learning?" "Am I trusting my own core self in the process of being a compassionate and curious parent-guide?" These are valid concerns for parents ...
Most time series anomaly detection models aim to learn normal behavior from unlabelled data, identifying anomalies as deviations from this behavior. However, the lack of labelled data makes it ...
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