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Including results for An Exploration of Optimization Kidney Exchanges with Graph Machine Learning.
scholar.google.com › citations
7 hours ago · Mathematics of Operations Research is a scholarly journal concerned with mathematical and computational foundations in operations research.
7 days ago · TPPR, an extension of personalized PageRank (PPR) that incorporates temporal information, better captures node similarities in temporal graphs. Based on this, ...
1 day ago · In 1979, the symposium was held here, featuring a remarquable scientific program. ISMP draws together researchers from across the globe alongside industry ...
2 days ago · The introduction of an attention mechanism provides new breakthroughs in the application of deep learning in quantitative investment strategies. Liu H et al. [ ...
4 days ago · [56], that uses graph neural networks to learn drug–protein association networks. An attention-based deep learning model was developed in the study by Theodoris ...
14 hours ago · PARALLEL SESSIONS (UTC+1) ; Session EO010, Room: 102 ; Statistics and machine learning for financial time series and insurance data, Wednesday 17.7.2024 10:20 - ...
13 hours ago · Machine learning and 4D-LFQ quantitative proteomic analysis explore the molecular mechanism of kidney ... Optimal Extreme Learning Machine for Diagnosing Brain ...
When is it acceptable to break the rules? Knowledge representation of ...
link.springer.com › article
3 days ago · This reveals the potential and limitations of machine ethics, emphasizing the necessity of explicit moral instruction and exploring alignment with ethical ...
7 days ago · Li, T. Huang, H. Yin, et al. Developing an ensemble machine learning model for early prediction of sepsis-associated acute kidney injury.
2 days ago · As social determinants for health take on an ever-important role, the EMBC2024 theme, “Technology and its Promise for Equity and Access for Well-Health” ...
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