In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC), the advent of functional neuroimaging, novel technologies and methods provide new …
Explanations have gained an increasing level of interest in the AI and Machine Learning (ML) communities in order to improve model transparency and allow users to form a mental …
Machine learning technologies are increasingly being applied in many different domains in the real world. As autonomous machines and black-box algorithms begin making decisions …
In real-world applications when deploying Machine Learning (ML) models, initial model development includes close analysis of the model results and behavior by a data scientist …
Abstract Machine learning (ML) models may involve decision boundaries that change over time due to updates to rules and regulations, such as in loan approvals or claims …
Existing tools for laypeople to create personal classifiers often assume a motivated user working uninterrupted in a single, lengthy session. However, users tend to engage with …
O Deane, O Ray - Companion Proceedings of the 28th International …, 2023 - dl.acm.org
This paper presents an interactive system for exploring and editing logic-based machine learning models specialised for the relational reasoning problem domain. Prior work has …
R Nair - arXiv preprint arXiv:2306.13381, 2023 - arxiv.org
We consider an aggregated human-AI collaboration aimed at generating a joint interpretable model. The model takes the form of Boolean decision rules, where human …
Adaptive experiences have been an active area of research in the past few decades, accompanied by advances in technology such as machine learning and artificial …