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Found 5 papers, 1 papers with code
From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets
We find that HS datasets for these languages exhibit a strong geo-cultural bias, largely overrepresenting a handful of countries (e. g., US and UK for English) relative to their prominence in both the broader social media population and the general population speaking these languages.
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
In this study, we used the 2017 Commodity Flow Survey Public Use File data set to explore building a high-performance freight mode choice model, considering three main improvements: (1) constructing local models for each separate commodity/industry category; (2) extracting useful geographical features, particularly the derived distance of each freight mode between origin/destination zones; and (3) applying additional ensemble learning methods such as stacking or voting to combine results from local and unified models for improved performance.
Analyzing Robustness of the Deep Reinforcement Learning Algorithm in Ramp Metering Applications Considering False Data Injection Attack and Defense
Ramp metering is the act of controlling on-going vehicles to the highway mainlines.
FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-picking
Based on this task requirement, we propose a Fast Point Cloud Clustering (FPCC) for instance segmentation of bin-picking scene.
Region Based Adversarial Synthesis of Facial Action Units
Facial expression synthesis or editing has recently received increasing attention in the field of affective computing and facial expression modeling.
