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Toward a perspectivist turn in ground truthing for predictive computing
Abstract Most current Artificial Intelligence applications are based on supervised Machine
Learning (ML), which ultimately grounds on data annotated by small teams of experts or …
Learning (ML), which ultimately grounds on data annotated by small teams of experts or …
[PDF][PDF] Machine learning for stock market forecasting: a review of models and accuracy
` MACHINE LEARNING FOR STOCK MARKET FORECASTING: A REVIEW OF MODELS AND
ACCURACY Page 1 Finance & Accounting Research Journal, Volume 6, Issue 2, February 2024 …
ACCURACY Page 1 Finance & Accounting Research Journal, Volume 6, Issue 2, February 2024 …
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Z Yu, Q Xu, Y Jiang, Y Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The existence of noisy labels in real-world data negatively impacts the performance of deep
learning models. Although much research effort has been devoted to improving the …
learning models. Although much research effort has been devoted to improving the …
Noise-resistant deep metric learning with probabilistic instance filtering
Noisy labels are commonly found in real-world data, which cause performance degradation
of deep neural networks. Cleaning data manually is labour-intensive and time-consuming …
of deep neural networks. Cleaning data manually is labour-intensive and time-consuming …
AI-empowered promotional video generation
C Liu - 2022 - dr.ntu.edu.sg
Promotional videos are rapidly becoming a popular form of product advertising on E-
commerce platforms. The traditional way of producing promotional videos is a time-, skill …
commerce platforms. The traditional way of producing promotional videos is a time-, skill …