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Anne Roefs
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2020 – today
- 2024
- [c7]Mandani Ntekouli, Gerasimos Spanakis
, Lourens J. Waldorp, Anne Roefs
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. ICDEW 2024: 158-166 - [c6]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention. xAI (2) 2024: 75-99 - [i6]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting. CoRR abs/2403.19442 (2024) - [i5]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention. CoRR abs/2405.04854 (2024) - 2023
- [j4]Sarah Kochs
It is a matter of perspective: Attentional focus rather than dietary restraint drives brain responses to food stimuli. NeuroImage 273: 120076 (2023) - [i4]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance. CoRR abs/2310.07491 (2023) - 2022
- [c5]Mandani Ntekouli
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data. IDA 2022: 199-211 - [i3]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data. CoRR abs/2204.01689 (2022) - [i2]Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Clustering individuals based on multivariate EMA time-series data. CoRR abs/2212.01159 (2022)
2010 – 2019
- 2017
- [j3]Robbert-Jan Beun, Joel Anderson, Jaap Ham
Special issue on supporting a healthier lifestyle with e-coaching systems. Pers. Ubiquitous Comput. 21(4): 621-623 (2017) - [j2]Gerasimos Spanakis
Machine learning techniques in eating behavior e-coaching - Balancing between generalization and personalization. Pers. Ubiquitous Comput. 21(4): 645-659 (2017) - 2016
- [c4]Gerasimos Spanakis
Utilizing Longitudinal Data to Build Decision Trees for Profile Building and Predicting Eating Behavior. CENTERIS/ProjMAN/HCist 2016: 782-789 - [c3]Gerasimos Spanakis
Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data. ECAI 2016: 1612-1613 - [c2]Gerasimos Spanakis
Enhancing Classification of Ecological Momentary Assessment Data Using Bagging and Boosting. ICTAI 2016: 388-395 - [i1]Gerasimos Spanakis, Gerhard Weiss, Anne Roefs:
Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data. CoRR abs/1607.01582 (2016) - 2015
- [c1]Gerasimos Spanakis
Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior. ICSH 2015: 43-54 - 2012
- [j1]Nicolette Siep
Fighting food temptations: The modulating effects of short-term cognitive reappraisal, suppression and up-regulation on mesocorticolimbic activity related to appetitive motivation. NeuroImage 60(1): 213-220 (2012)
Coauthor Index
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