ChatGPT and other large language models (LLMs) have proven useful in
cro...
Machine learning (ML) practitioners and organizations are building model...
In an effort to regulate Machine Learning-driven (ML) systems, current
a...
Many powerful Artificial Intelligence (AI) techniques have been engineer...
Hybrid crowd-machine classifiers can achieve superior performance by
com...
In this paper, we explore how to efficiently combine crowdsourcing and
m...
The way pages are ranked in search results influences whether the users ...
Machine Learning (ML) is increasingly applied in real-life scenarios, ra...
Despite the high interest for Machine Learning (ML) in academia and indu...
This paper presents a user modeling pipeline to analyze discussions and
...
Capturing the temporal dynamics of user preferences over items is import...