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Found 6 papers, 2 papers with code
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings
Embeddings play a pivotal role in the efficacy of Large Language Models.
Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models
Socioeconomic bias in society exacerbates disparities, influencing access to opportunities and resources based on individuals' economic and social backgrounds.
Annotating sleep states in children from wrist-worn accelerometer data using Machine Learning
Sleep detection and annotation are crucial for researchers to understand sleep patterns, especially in children.
Facial asymmetry: A Computer Vision based behaviometric index for assessment during a face-to-face interview
The current study proposes the methodology behind this tool to capture facial expressions, in terms of facial asymmetry and micro-expressions.
Decoding Brain Motor Imagery with various Machine Learning techniques
Motor imagery (MI) is a well-documented technique used by subjects in BCI (Brain Computer Interface) experiments to modulate brain activity within the motor cortex and surrounding areas of the brain.
Stable Remaster: Bridging the Gap Between Old Content and New Displays
We explore the ability to combine multiple independent computer vision tasks to attempt to solve the problem of expanding aspect ratios of old animated content such that the new content would be indistinguishable from the source material to a brand-new viewer.
