2 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention
Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp +1
In the field of psychopathology, Ecological Momentary Assessment (EMA) studies offer rich individual data on psychopathology-relevant variables (e.g., affect, behavior, etc) in rea…
Clustering individuals based on multivariate EMA time-series data
Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp +1
In the field of psychopathology, Ecological Momentary Assessment (EMA) methodological advancements have offered new opportunities to collect time-intensive, repeated and intra-indi…
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data
Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp +1
Previous research on EMA data of mental disorders was mainly focused on multivariate regression-based approaches modeling each individual separately. This paper goes a step further…
Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data
Gerasimos Spanakis, Gerhard Weiss, Anne Roefs
Ecological Momentary Assessment (EMA) data is organized in multiple levels (per-subject, per-day, etc.) and this particular structure should be taken into account in machine learni…