Search Results for author: Mandani Ntekouli

Found 4 papers, 0 papers with code

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

no code implementations28 Mar 2024 Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, Anne Roefs

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

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

no code implementations11 Oct 2023 Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, Anne Roefs

However, it is believed that additional information of similar individuals is likely to enhance these models leading to better individuals' description.

Clustering Time Series

Clustering individuals based on multivariate EMA time-series data

no code implementations2 Dec 2022 Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, Anne Roefs

In the field of psychopathology, Ecological Momentary Assessment (EMA) methodological advancements have offered new opportunities to collect time-intensive, repeated and intra-individual measurements.

Clustering Clustering Multivariate Time Series +2

Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data

no code implementations4 Apr 2022 Mandani Ntekouli, Gerasimos Spanakis, Lourens Waldorp, Anne Roefs

Interestingly, it is observed that in one of the two real-world datasets, knowledge distillation method achieves improved AUC scores (mean relative change of +17\% compared to personalized) showing how it can benefit EMA data classification and performance.

Interpretable Machine Learning Knowledge Distillation

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