María Óskarsdóttir
Cited by
Cited by
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics
M Óskarsdóttir, C Bravo, C Sarraute, J Vanthienen, B Baesens
Applied Soft Computing 74, 26-39, 2019
Deep learning for credit scoring: Do or don’t?
BR Gunnarsson, S Vanden Broucke, B Baesens, M Óskarsdóttir, ...
European Journal of Operational Research 295 (1), 292-305, 2021
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture
M Óskarsdóttir, C Bravo, W Verbeke, C Sarraute, B Baesens, ...
Expert Systems with Applications 85, 204-220, 2017
Special issue on feature engineering editorial
T Verdonck, B Baesens, M Óskarsdóttir, S vanden Broucke
Machine Learning, 1-12, 2021
Impact of US vaccination strategy on COVID-19 wave dynamics
C Cot, G Cacciapaglia, AS Islind, M Óskarsdóttir, F Sannino
Scientific Reports 11 (1), 10960, 2021
Time series for early churn detection: Using similarity based classification for dynamic networks
M Óskarsdóttir, T Van Calster, B Baesens, W Lemahieu, J Vanthienen
Expert Systems with Applications 106, 55-65, 2018
The future of sleep measurements: a review and perspective
ES Arnardottir, AS Islind, M Óskarsdóttir
Sleep medicine clinics 16 (3), 447-464, 2021
A comparative study of social network classifiers for predicting churn in the telecommunication industry
M Óskarsdóttir, C Bravo, W Verbeke, C Sarraute, B Baesens, ...
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
Social network analytics for supervised fraud detection in insurance
M Óskarsdóttir, W Ahmed, K Antonio, B Baesens, R Dendievel, T Donas, ...
Risk Analysis 42 (8), 1872-1890, 2022
The Sleep Revolution project: the concept and objectives
ES Arnardottir, AS Islind, M Óskarsdottir, KA Ólafsdottir, E August, ...
Journal of sleep research 31 (4), e13630, 2022
Multilayer network analysis for improved credit risk prediction
M Oskarsdottir, C Bravo
Omega 105, 102520, 2021
Profit-based model selection for customer retention using individual customer lifetime values
M Óskarsdóttir, B Baesens, J Vanthienen
Big data 6 (1), 53-65, 2018
Credit scoring for good: Enhancing financial inclusion with smartphone-based microlending
M Óskarsdóttir, C Bravo, C Sarraute, B Baesens, J Vanthienen
arXiv preprint arXiv:2001.10994, 2020
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts
L Calzada-Infante, M Óskarsdóttir, B Baesens
Expert Systems with Applications 160, 113553, 2020
Importance of getting enough sleep and daily activity data to assess variability: longitudinal observational study
M Óskarsdóttir, AS Islind, E August, ES Arnardóttir, F Patou, AM Maier
JMIR formative research 6 (2), e31807, 2022
Changes in mobility patterns in Europe during the COVID-19 pandemic: Novel insights using open source data
AS Islind, M Óskarsdóttir, H Steingrímsdóttir
arXiv preprint arXiv:2008.10505, 2020
Fraud detection of bulk cargo theft in port using bayesian network models
R Song, L Huang, W Cui, M Oskarsdottir, J Vanthienen
Applied Sciences 10 (3), 1056, 2020
Closing the gap between experts and novices using analytics-as-a-service: an experimental study
J Lismont, T Van Calster, M Óskarsdóttir, S Vanden Broucke, B Baesens, ...
Business & Information Systems Engineering 61, 679-693, 2019
Evolution of credit risk using a personalized pagerank algorithm for multilayer networks
C Bravo, M Óskarsdóttir
arXiv preprint arXiv:2005.12418, 2020
Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
KW De Bock, K Coussement, A De Caigny, R Slowiński, B Baesens, ...
European Journal of Operational Research, 2023
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