| 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 | 152 | 2019 |
| 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 | 93 | 2017 |
| 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 | 65 | 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 | 44 | 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 | 44 | 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 | 35 | 2016 |
| The future of sleep measurements: a review and perspective ES Arnardottir, AS Islind, M Óskarsdóttir Sleep medicine clinics 16 (3), 447-464, 2021 | 26 | 2021 |
| 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 | 24* | 2020 |
| 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 | 21 | 2018 |
| 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 | 20 | 2022 |
| 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 | 20 | 2020 |
| Multilayer network analysis for improved credit risk prediction M Óskarsdóttir, C Bravo Omega 105, 102520, 2021 | 16 | 2021 |
| 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 | 15 | 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 | 15 | 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 | 15 | 2019 |
| Special issue on feature engineering editorial T Verdonck, B Baesens, M Óskarsdóttir, S vanden Broucke Machine Learning, 1-12, 2021 | 14 | 2021 |
| 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 | 13 | 2022 |
| Evolution of credit risk using a personalized pagerank algorithm for multilayer networks C Bravo, M Óskarsdóttir arXiv preprint arXiv:2005.12418, 2020 | 10 | 2020 |
| The Sleep Revolution project: the concept and objectives ES Arnardottir, AS Islind, M Óskarsdóttir, KA Ólafsdóttir, E August, ... Journal of Sleep Research 31 (4), e13630, 2022 | 9 | 2022 |
| Introduction to the minitrack on learning analytics G Deeva, S Willermark, AS Islind, M Oskarsdottir | 6 | 2021 |
Bart BaesensFull professor, KU LeuvenVerified email at kuleuven.be
