Search Results for author:
Found 4 papers, 0 papers with code
Knowledge-guided EEG Representation Learning
We also propose a novel knowledge-guided pre-training objective that accounts for the idiosyncrasies of the EEG signal.
A Multi-Perspective Machine Learning Approach to Evaluate Police-Driver Interaction in Los Angeles
Interactions between the government officials and civilians affect public wellbeing and the state legitimacy that is necessary for the functioning of democratic society.
Context Unlocks Emotions: Text-based Emotion Classification Dataset Auditing with Large Language Models
In this work, we propose a formal definition of textual context to motivate a prompting strategy to enhance such contextual information.
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness
Speech-centric machine learning systems have revolutionized many leading domains ranging from transportation and healthcare to education and defense, profoundly changing how people live, work, and interact with each other.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
