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) ...
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
Logmanager, a vendor of a log management platform recognized for its radical simplicity, today introduced a major new release ...
In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search ...
To be eligible for JEE Advanced 2026, candidates must rank among the top 2.5 lakh students in JEE Main 2026, satisfy the age criteria. Additionally, candidates must have appeared for their Class 12 ...
Analysis and insights for driving a rapid transition to net-zero while building resilience to physical climate impacts ...
Abstract: Existing methods based on graph convolutional network often struggle with large-scale graphs due to their high computing consumption and inefficiency. Although strategies such as edge ...
They’re taking shallowness to the maxx. Gen Z pick-up artists have devised a superficial online rubric for judging people’s looks, grading them on a scale from “Subhuman” (hideously ugly) to “Tera ...
For people my age, there was no greater adolescent thrill than seeing your crush post “like my status for a rate” on Facebook and taking the bait. Rating and getting rated is what social media was ...
DSGAU: Dual-Scale Graph Attention U-Nets for Hyperspectral Image Classification With Limited Samples
Abstract: Graph convolutional networks (GCNs) exhibit remarkable capabilities in hyperspectral image (HSI) classification tasks, primarily due to their ability to establish long-range pixel ...
Zooming into an energy graph, does not rescale the scale. Which leaves the graphs barely readable in case of high usage periods.
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