Mixtures of Gaussian wells: Theory, computation, and application. - Ioanna Manolopoulou; Thomas B. Kepler; Daniel M. Merl (Comput. Stat. Data Anal., 2012)

Phylogeographic Ancestral Inference Using the Coalescent Model on Haplotype Trees. - Ioanna Manolopoulou; Brent C. Emerson (J. Comput. Biol., 2012)

Hierarchical Bayesian variable selection in the probit model with mixture of nominal and ordinal responses. - Eleftheria Kotti; Ioanna Manolopoulou; Tom Fearn (SSP, 2016)

Modelling Grocery Retail Topic Distributions: Evaluation, Interpretability and Stability. - Mariflor Vega-Carrasco; Jason O'sullivan; Rosie Prior; Ioanna Manolopoulou; Mirco Musolesi (CoRR, 2020)

Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review. - Alberto Caron; Ioanna Manolopoulou; Gianluca Baio (CoRR, 2020)

Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation. - Alberto Caron; Gianluca Baio; Ioanna Manolopoulou (CoRR, 2021)

Interpretable Deep Causal Learning for Moderation Effects. - Alberto Caron; Gianluca Baio; Ioanna Manolopoulou (CoRR, 2022)

Counterfactual Learning with Multioutput Deep Kernels. - Alberto Caron; Ioanna Manolopoulou; Gianluca Baio (Trans. Mach. Learn. Res., 2022)

Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation. - Alberto Caron; Gianluca Baio; Ioanna Manolopoulou (J. Comput. Graph. Stat., 2022)

Uncovering Student Engagement Patterns in Moodle with Interpretable Machine Learning. - Laura J. Johnston; Jim E. Griffin; Ioanna Manolopoulou; Takoua Jendoubi (CoRR, 2024)

A real-time metric of online engagement monitoring. - Laura J. Johnston; Jim E. Griffin; Ioanna Manolopoulou; Takoua Jendoubi (CoRR, 2025)