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) ...
CMTS-GNN: a cross-modal temporal-spectral graph neural network with cognitive network explainability
1 School of Information Science and Engineering, Northeastern University, Shenyang, China 2 Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China Infantile spasms ...
CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...
Abstract: Temporal Graph Clustering (TGC) is a new task with little attention, focusing on node clustering in temporal graphs. Compared with existing static graph clustering, it can find the balance ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
2022/09/18 Complex Temporal Question Answering on Knowledge Graphs Southwest Jiaotong University Code 2022/06/28 TempoQR: Temporal Question Reasoning over Knowledge Graphs University of Minnesota Code ...
Introduction: Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder, with Mild Cognitive Impairment (MCI) often serving as a prodromal stage. Early detection of MCI is critical for ...
Seattle-based Temporal has made its name over the last several years in the world of microservices — specifically providing a platform to orchestrate the messy business of building and operating ...
Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...
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