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Found 6 papers, 2 papers with code
News Source Credibility Assessment: A Reddit Case Study
In the era of social media platforms, identifying the credibility of online content is crucial to combat misinformation.
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.
Analysis, Identification and Prediction of Parkinson's disease sub-types and progression through Machine Learning
Parkinson's disease (PD) is a prevalent neurodegenerative disorder with varying patient trajectories, yet little is understood about the underlying causes and symptom progression.
On Evaluating and Comparing Open Domain Dialog Systems
In this paper, we propose a comprehensive evaluation strategy with multiple metrics designed to reduce subjectivity by selecting metrics which correlate well with human judgement.
Conversational AI: The Science Behind the Alexa Prize
This paper outlines the advances created by the university teams as well as the Alexa Prize team to achieve the common goal of solving the problem of Conversational
Topic-based Evaluation for Conversational Bots
Dialog evaluation is a challenging problem, especially for non task-oriented dialogs where conversational success is not well-defined.
