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20222024
most citedModel-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

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…

cs.LG2024

Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting

Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp +1

In the evolving field of psychopathology, the accurate assessment and forecasting of data derived from Ecological Momentary Assessment (EMA) is crucial. EMA offers contextually-ric…

cs.LG2023★ 2 cited

Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance

Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp +1

Through Ecological Momentary Assessment (EMA) studies, a number of time-series data is collected across multiple individuals, continuously monitoring various items of emotional beh…

cs.LG2022★ 1 cited

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…

cs.LG2022★ 1 cited

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…