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Found 4 papers, 1 papers with code
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification
This paper investigates how adjustments to deep learning architectures impact model performance in image classification.
CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery
Building on the kickoff Code 8. 7 conference held at the headquarters of the United Nations in February 2019, the focus for this workshop was to link the ambitious goals outlined in the A 20-Year Community Roadmap for Artificial Intelligence Research in the US (AI Roadmap) to challenges vital in achieving the UN's Sustainable Development Goal Target 8. 7, the elimination of modern slavery.
Model Class Reliance for Random Forests
Variable Importance (VI) has traditionally been cast as the process of estimating each variables contribution to a predictive model's overall performance.
AMP: a new time-frequency feature extraction method for intermittent time-series data
To demonstrate the effectiveness of AMP, we evaluate against the real word task of clustering intermittent time-series data.
