Mandani Ntekouli

According to our database, Mandani Ntekouli authored at least 12 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

XAI for U 2025: 2$nd$ International Workshop on Explainable AI for Ubiquitous, Pervasive and Wearable Computing.

Mor Vered, Teena Hassan, Mandani Ntekouli, Sang Won Bae, Martin Gjoreski

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

Evaluating the Quality of Counterfactual Explanations in Multivariate Time-Series.

Mandani Ntekouli, Francesco Bombassei De Bona, Martin Gjoreski, Gerasimos Spanakis

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

2024

Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention.

Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs

Proceedings of the Explainable Artificial Intelligence, 2024

Enhanced Boosting-Based Transfer Learning for Modeling Ecological Momentary Assessment Data.

Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

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

Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

2023

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

2022

Clustering individuals based on multivariate EMA time-series data.

Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs

CoRR, 2022

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

Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2019

ILIOU machine learning preprocessing method for depression type prediction.

Theodoros Iliou, Georgia Konstantopoulou, Mandani Ntekouli, Christina Lymperopoulou, Konstantinos Assimakopoulos, Dimitrios Galiatsatos, George C. Anastassopoulos

Evol. Syst., 2019

2018

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

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

Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Machine Learning Preprocessing Method for Suicide Prediction.

Theodoros Iliou, Georgia Konstantopoulou, Mandani Ntekouli, Dimitrios K. Lymberopoulos, Konstantinos Assimakopoulos, Dimitrios Galiatsatos, George C. Anastassopoulos

Proceedings of the Artificial Intelligence Applications and Innovations, 2016