Abstract: Long-tailed distribution is a common issue in remote sensing image classification (RSIC), and many datasets suffer from severe class imbalance. This imbalance often causes the classifier to ...
Ravi Kumar S of Cognizant Technology Solutions says AI will widen the base of corporate employment and ‘the path to expertise ...
AI refers to a machine-based system and ML refers to a set of techniques that can be used to train AI algorithms (2) so ML ...
Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...
1 Department of Hepatobiliary and pancreatic surgery＆Retroperitoneal tumor surgery, The Affiliated Hospital of Qingdao University, Qingdao, China 2 Department of Oncology, Qingdao Municipal Hospital ...
University of Haifa researcher says her team's AI model spots biomarkers in white blood cells; test could help monitor ...
The authors discovered that 98% of all Zero Trust studies lack real-world validation, making them theoretical rather than ...
A Q&A with Yuan Luo, PhD, FACMI, FAIMBE, FAMIA, FIAHSI, Chief AI Officer at the NUCATS Institute and Institute for AI in ...
Abstract: Cross-domain sequential recommendation (CDSR) tackles data sparsity and cold-start issues by leveraging information from the source domain to enhance prediction accuracy in the target domain ...
Optimised machine learning for time-to-event prediction in healthcare applied to timing of gastrostomy in ALS: a multi-centre, retrospective model development and validation study Marcel Weinreich a, ...
Goldman Sachs posts strong Q3 results, driven by dealmaking and wealth management, but valuation concerns remain. Read why GS ...
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