Machine Learning Preprocessing Method for Suicide Prediction. - Theodoros Iliou 001; Georgia Konstantopoulou; Mandani Ntekouli; Dimitrios K. Lymberopoulos; Konstantinos Assimakopoulos; Dimitrios Galiatsatos; George C. Anastassopoulos (AIAI, 2016)

An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy. - Mandani Ntekouli; Maria Marouli; Georgia Konstantopoulou; George C. Anastassopoulos; Dimitrios Lymperopoulos (AIAI, 2016)

A mapping of epilepsy's evolution: implementation of the proposed knowledge based model. - Mandani Ntekouli; Maria Marouli; Georgia Konstantopoulou; George C. Anastassopoulos; Dimitrios K. Lymberopoulos; Panagiotis Polychronopoulos; John Ellul (Evol. Syst., 2018)

ILIOU machine learning preprocessing method for depression type prediction. - Theodoros Iliou 001; Georgia Konstantopoulou; Mandani Ntekouli; Christina Lymperopoulou; Konstantinos Assimakopoulos; Dimitrios Galiatsatos; George C. Anastassopoulos (Evol. Syst., 2019)

Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (IDA, 2022)

Clustering individuals based on multivariate EMA time-series data. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (CoRR, 2022)

Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (CoRR, 2023)

Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (ICDEW, 2024)

Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention. - Mandani Ntekouli; Gerasimos Spanakis; Lourens J. Waldorp; Anne Roefs (xAI (2), 2024)