| Social media optimization: Identifying an optimal strategy for increasing network size on Facebook M Ballings, D Van den Poel, M Bogaert Omega 59, 15-25, 2016 | 56 | 2016 |
| Evaluating multi-label classifiers and recommender systems in the financial service sector M Bogaert, J Lootens, D Van den Poel, M Ballings European Journal of Operational Research 279 (2), 620-634, 2019 | 44 | 2019 |
| The added value of Facebook friends data in event attendance prediction M Bogaert, M Ballings, D Van den Poel Decision Support Systems 82, 26-34, 2016 | 41 | 2016 |
| Predicting donation behavior: Acquisition modeling in the nonprofit sector using Facebook data L Schetgen, M Bogaert, D Van den Poel Decision Support Systems 141, 113446, 2021 | 27 | 2021 |
| Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms M Bogaert, M Ballings, D Van den Poel, A Oztekin Decision Support Systems 147, 113517, 2021 | 24 | 2021 |
| Evaluating the importance of different communication types in romantic tie prediction on social media M Bogaert, M Ballings, D Van den Poel Annals of Operations Research 263, 501-527, 2018 | 22 | 2018 |
| Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents B Janssens, M Bogaert, M Maton Annals of Operations Research 325 (1), 557-588, 2023 | 13 | 2023 |
| Ensemble methods in customer churn prediction: A comparative analysis of the state-of-the-art M Bogaert, L Delaere Mathematics 11 (5), 1137, 2023 | 13 | 2023 |
| B2Boost: Instance-dependent profit-driven modelling of B2B churn B Janssens, M Bogaert, A Bagué, D Van den Poel Annals of Operations Research, 1-27, 2022 | 13 | 2022 |
| Evaluating the influence of Airbnb listings’ descriptions on demand B Janssens, M Bogaert, D Van den Poel International Journal of Hospitality Management 99, 103071, 2021 | 12 | 2021 |
| Identifying soccer players on Facebook through predictive analytics M Bogaert, M Ballings, M Hosten, D Van den Poel Decision Analysis 14 (4), 274-297, 2017 | 11 | 2017 |
| Predicting Self‐declared movie watching behavior using Facebook data and Information‐Fusion sensitivity analysis M Bogaert, M Ballings, R Bergmans, D Van den Poel Decision Sciences 52 (3), 776-810, 2021 | 10 | 2021 |
| Correction: Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents B Janssens, M Bogaert, M Maton Annals of Operations Research, 1-1, 2022 | 7 | 2022 |
| 360 Degrees rumor detection: When explanations got some explaining to do B Janssens, L Schetgen, M Bogaert, M Meire, D Van den Poel European Journal of Operational Research, 2023 | 3 | 2023 |
| Imputation of non-participated race results B Janssens, M Bogaert International Workshop on Machine Learning and Data Mining for Sports …, 2021 | 2 | 2021 |
| Bike2Vec: vector embedding representations of road cycling riders and races E Baron, B Janssens, M Bogaert arXiv preprint arXiv:2305.10471, 2023 | 1 | 2023 |
| Predicting Movie Watching Behavior using Facebook data and Information-fusion Sensitivity Analysis M Bogaert, M Ballings, R Bergmans, D Van den Poel 39th ISMS Marketing Science Conference, 2017 | 1 | 2017 |
| Performance Measurement 2.0: Towards a Data-Driven Cyclist Specialization Evaluation B Janssens, M Bogaert International Workshop on Machine Learning and Data Mining for Sports …, 2023 | | 2023 |
| Investigating Parallel Implementations of Genetic Algorithms for Stochastic Part-of-Speech Tagging S Rahman, M Bogaert, D Van den Poel 32nd European Conference on Operational Research (EURO2022), 176-176, 2022 | | 2022 |
| Clustering of cycling race profiles B Janssens, J De Bock, S Verstockt, M Bogaert 32nd European Conference on Operational Research (EURO2022), 250-250, 2022 | | 2022 |
