María Óskarsdóttir
Cited by
Cited by
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
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
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
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
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
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 (6), 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
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
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 Óskarsdóttir, J Vanthienen
Applied Sciences 10 (3), 1056, 2020
Automated analytics: the organizational impact of analytics-as-a-service
T Van Calster, J Lismont, M Óskarsdóttir, S vanden Broucke, J Vanthienen, ...
1st workshop on enterprise intelligence in conjunction with KDD, 2016
Introduction to the Minitrack on Learning Analytics
G Deeva, S Willermark, AS Islind, M Oskarsdottir
Proceedings of the 54th Hawaii International Conference on System Sciences, 1507, 2021
You better watch out: US COVID-19 wave dynamics versus vaccination strategy
G Cacciapaglia, C Cot, AS Islind, M Óskarsdóttir, F Sannino
arXiv preprint arXiv:2012.12004, 2020
Multilayer Network Analysis for Improved Credit Risk Prediction
M Óskarsdóttir, C Bravo
arXiv preprint arXiv:2010.09559, 2020
Social network analytics for supervised fraud detection in insurance
M Óskarsdóttir, W Ahmed, K Antonio, B Baesens, R Dendievel, T Donas, ...
arXiv preprint arXiv:2009.08313, 2020
Interaction with Medical Venues in Megacities
M Óskarsdóttir, AS Íslind
Studies in health technology and informatics 270, 996-1000, 2020
Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo
G Deeva, J De Smedt, J De Weerdt, M Óskarsdóttir
International Conference on Complex Networks and Their Applications, 931-943, 2019
Inductive representation learning on feature rich complex networks for churn prediction in telco
M Óskarsdóttir, S Cornette, F Deseure, B Baesens
International Conference on Complex Networks and Their Applications, 845-853, 2019
Churn prediction in the telecommunication industry using social network analytics
M Oskarsdottir, C Bravo, W Verbeke, C Sarraute, B Baesens, ...
NetMob 2017, Date: 2017/04/05-2017/04/07, Location: Milan (Italy), 162-164, 2017
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