Journal Papers - published or accepted
Digital nudging in digigal health technologies: a systematic review
Lilja Guðrún Jóhannsdóttir, Steinunn Gróa Sigurðardóttir, María Óskarsdóttir & Anna Sigríður Islind
Health and Technology
[journal]
Benedikt Holm, Arnar Óskarsson, Björn Elvar Þorleifsson, Hörður Þór Hafsteinsson, Sigríður Sigurðardóttir, Heiður Grétarsdóttir, Kenan Hoelke, Gabriel Marc Marie Jouan, Thomas Penzel, Erna Sif Arnardottir & María Óskarsdóttir
Journal of Sleep Research
[journal]
Supporting teachers in higher education: Design of an institutional programme from a socio-technical perspective
Nidia Guadalupe López Flores, Anna Sigridur Islind, & María Óskarsdóttir
Journal of Workplace Learning
[journal]
Attention-based dynamic multilayer graph neural networks for loan default prediction
Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues & Cristián Bravo
European Journal of Operational Research
2025
Benedikt Holm, Michal Borsky, Erna S Arnardottir, Marta Serwatko, Jacky Mallett, Anna Sigridur Islind & María Óskarsdóttir
Nature and Science of Sleep
[journal]
An algorithmic approach to identification of gray areas: Analysis of sleep scoring expert ensemble non agreement areas using a multinomial mixture model
Gabriel Jouan, Erna Sif Arnardottir, Anna Sigridur Islind & María Óskarsdóttir
European Journal of Operational Research
Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
Koen W De Bock, Kristof Coussement, Arno De Caigny, Roman Słowiński, Bart Baesens, Robert N Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
European Journal of Operational Research
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo
IEEE Access
Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI
Elena Tiukhova, Pavani Vemuri, Nidia López Flores, Anna Sigridur Islind, María Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
Decision Support Systems
Benedikt Holm, Gabriel Jouan, Emil Hardarson, Sigríður Sigurðardottir, Kenan Hoelke, Conor Murphy, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Islind
Frontiers in Neuroinformatics
Anomaly detection in sleep: detecting mouth breathing in children
Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Sigridur Sigurdardóttir, Michael Valur Clausen, Sigurveig Þ Sigurdardóttir, Marta Serwatko, Anna Sigridur Islind
Data Mining and Knowledge Discovery
A novel approach in psychiatric healthcare: co-designing a digital platform
Steinunn Gróa Sigurðardóttir, María Óskarsdóttir, Oddur Ingimarsson, Anna Sigridur Islind
Journal of Workplace Learning
[journal]
Review and perspective on sleep-disordered breathing research and translation to clinics
Henri Korkalainen, Samu Kainulainen, Anna Sigridur Islind, María Óskarsdóttir, Christian Strassberger, Sami Nikkonen, Juha Töyräs, Antti Kulkas, Ludger Grote, Jan Hedner, Reijo Sund, Harald Hrubos-Strom, Jose M Saavedra, Kristín Anna Ólafsdóttir, Jón S Ágústsson, Philip I Terrill, Walter T McNicholas, Erna Sif Arnardóttir, Timo Leppänen
Sleep Medicine Reviews
[journal]
Multicentre sleep‐stage scoring agreement in the Sleep Revolution project
Sami Nikkonen, Pranavan Somaskandhan, Henri Korkalainen, Samu Kainulainen, Philip I Terrill, Heidur Gretarsdottir, Sigridur Sigurdardottir, Kristin Anna Olafsdottir, Anna Sigridur Islind, María Óskarsdóttir, Erna Sif Arnardóttir, Timo Leppänen
Journal of Sleep Research
2024
Error propagation from sleep stage classification to derived sleep parameters in machine learning on data from wearables
Emil Hardarson, Anna Sigridur Islind, Erna Sif Arnardottir, María Óskarsdóttir
Current Sleep Medicine Reports
[journal]
A new digital health program for patients with inflammatory bowel disease: preliminary program evaluation
Saemundur Jon Oddsson, Thrudur Gunnarsdottir, Lilja Gudrun Johannsdottir, Maria Lovisa Amundadottir, Arna Frimannsdottir, Pauliina Molander, Anna Karoliina Ylanne, Anna Sigridur Islind, Maria Oskarsdottir, Tryggvi Thorgeirsson
JMIR Formative Research
Using the electrodermal activity signal and machine learning for diagnosing sleep
Deep learning for sleep analysis on children with sleep-disordered breathing: Automatic detection of mouth breathing events
Jóna Elísabet Sturludóttir, Sigríður Sigurðardóttir, Marta Serwatko, Erna S Arnardóttir, Harald Hrubos-Strøm, Michael Valur Clausen, Sigurveig Sigurðardóttir, María Óskarsdóttir, Anna Sigridur Islind
Frontiers in Sleep
2023
Social networks for enhanced player churn prediction in mobile free-to-play games
María Óskarsdóttir, Kristín Eva Gísladóttir, Ragnar Stefánsson, Damian Aleman, Carlos Sarraute
Applied Network Science
[journal]
The quantification of vaccine uptake in the Nordic countries and impact on key indicators of COVID-19 severity and healthcare stress level via age range comparative analysis
Anna Sigridur Islind, María Óskarsdóttir, Corentin Cot, Giacomo Cacciapaglia, Francesco Sannino
Nature Scientific Reports
Green Intentions: Field Research and Data-Driven Analysis of Customers’ Purchasing Patterns
Camilla Carpinelli, Einar Torfi Einarsson Reynis, Anna Sigríður Islind, Hlynur Stefánsson, María Óskarsdóttir
Sustainability
The Sleep Revolution project: the concept and objectives
Erna S Arnardottir, Anna Sigridur Islind, María Óskarsdottir, Kristín A Ólafsdottir, Elias August, Lára Jonasdottir, Harald Hrubos‐Strøm, Jose M Saavedra, Ludger Grote, Jan Hedner, Sveinbjörn Höskuldsson, Jon Skírnir Agústsson, Kamilla Rún Johannsdottir, Walter T McNicholas, Dirk Pevernagie, Reijo Sund, Juha Töyräs, Timo Leppänen, Sleep Revolution, Toril Dammen, Triin Jagomägi, Sæmundur Oddsson, Knut Skifjeld, Johan Verbraecken, Trakada Georgia, Thomas Penzel, Silke Ryan, Paschalis Steiropoulos, Jean‐Louis Pépin, Sophia E Schiza, Ozen Kacmaz Basoglu, Jitka Bušková, Dries Testelmans, Richard Staats, Haralampos Gouveris, Carolina Lombardi, Maria Rosaria Bonsignore, Francesco Fanfulla, Holger Hein, Winfried J Randerath, Athanasia Pataka, Stefan Mihaicuta, Tarja Saaresranta, Ulla Anttalainen, Zoran Dogas, Paweł Śliwiński, Marta Drummond, Petra Nemeth
Journal of sleep research
Social network analytics for supervised fraud detection in insurance
María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens
Risk Analysis
Importance of getting enough sleep and daily activity data to assess variability: longitudinal observational study
María Óskarsdóttir, Anna Sigridur Islind, Elias August, Erna Sif Arnardóttir, François Patou, Anja M Maier
JMIR formative research
2022
Multilayer network analysis for improved credit risk prediction
Deep learning for credit scoring: Do or don’t?
Björn Rafn Gunnarsson, Seppe Vanden Broucke, Bart Baesens, María Óskarsdóttir, Wilfried Lemahieu
European Journal of Operational Research
Strangely mined bitcoins: Empirical analysis of anomalies in the bitcoin blockchain transaction network
The future of sleep measurements: a review and perspective
Impact of US vaccination strategy on COVID-19 wave dynamics
Corentin Cot, Giacomo Cacciapaglia, Anna Sigridur Islind, Maria Oskarsdottir, Francesco Sannino
Nature Scientific Reports
2021
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts
Fraud detection of bulk cargo theft in port using bayesian network models
2020
Closing the gap between experts and novices using analytics-as-a-service: an experimental study
Jasmien Lismont, Tine Van Calster, María Óskarsdóttir, Seppe Vanden Broucke, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
Business & Information Systems Engineering
[journal]
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
Applied Soft Computing
2019
Time series for early churn detection: Using similarity based classification for dynamic networks
María Óskarsdóttir, Tine Van Calster, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
Expert Systems with Applications
Profit-based model selection for customer retention using individual customer lifetime values
2018
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Expert Systems with Applications