4 citations · 5 across the 4 of their papers we have counts for
10 papers
A real-time metric of online engagement monitoring
Laura J. Johnston, Jim E. Griffin, Ioanna Manolopoulou +1
Measuring online behavioural student engagement often relies on simple count indicators or retrospective, predictive methods, which present challenges for real-time application. To…
Uncovering Student Engagement Patterns in Moodle with Interpretable Machine Learning
Laura J. Johnston, Jim E. Griffin, Ioanna Manolopoulou +1
Understanding and enhancing student engagement through digital platforms is critical in higher education. This study introduces a methodology for quantifying engagement across an e…
Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
Giuseppe Mignemi, Ioanna Manolopoulou
Rating procedure is crucial in many applied fields (e.g., educational, clinical, emergency). It implies that a rater (e.g., teacher, doctor) rates a subject (e.g., student, doctor)…
Mixture polarization in inter-rater agreement analysis: a Bayesian nonparametric index
Giuseppe Mignemi, Antonio Calcagnì, Andrea Spoto +1
In several observational contexts where different raters evaluate a set of items, it is common to assume that all raters draw their scores from the same underlying distribution. Ho…
Counterfactual Learning with Multioutput Deep Kernels
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
In this paper, we address the challenge of performing counterfactual inference with observational data via Bayesian nonparametric regression adjustment, with a focus on high-dimens…
Modelling Grocery Retail Topic Distributions: Evaluation, Interpretability and Stability
Mariflor Vega-Carrasco, Jason O'sullivan, Rosie Prior +2
Understanding the shopping motivations behind market baskets has high commercial value in the grocery retail industry. Analyzing shopping transactions demands techniques that can c…