| 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 | 43 | 2016 |
| 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 | 35 | 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 | 28 | 2019 |
| 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 (1), 501-527, 2018 | 17 | 2018 |
| 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 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 | 10 | 2021 |
| 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 | 6 | 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 | 3 | 2021 |
| 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 | 2 | 2022 |
| 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 |
| Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents B Janssens, M Bogaert, M Maton Annals of Operations Research, 1-32, 2022 | | 2022 |
| Imputation of Non-participated Race Results B Janssens, M Bogaert International Workshop on Machine Learning and Data Mining for Sports …, 2022 | | 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 | | 2021 |
| Text mining customer experience with covid-19 events: A longitudinal and cross-industry analysis of the impact on customer well-being L Schetgen, B Larivière, M Bogaert, D Van den Poel Interactive Marketing Research Conference, Location: Fordham University (online), 2021 | | 2021 |
| Developing a detection and interpretation tool for rumors regarding COVID-19 on Twitter L Schetgen, B Janssens, M Bogaert 31th European Conference on Operational Research (EURO 2021), 2021 | | 2021 |
| Imputation of non-participated race results M Bogaert, B Janssens 8th Workshop on Machine Learning and Data Mining for Sports Analytics, 2021 | | 2021 |
| Which ethnic groups to contact first? Impacts of decision makers’ cultural backgrounds on innovation adoption in B2B settings B Janssens, M Bogaert 31st European Conference on Operational Research, 2021 | | 2021 |
| Acquisition Modeling in the Nonprofit Sector based on Facebook Data L Schetgen, M Bogaert, D Van den Poel INFORMS 2019 Annual Meeting, 2019 | | 2019 |
| Harnessing the power of social media in predictive analytics M Bogaert Ghent University, 2018 | | 2018 |
| Evaluating the Importance of Different Communication Types in Tie Strength Prediction on Social Media M Bogaert, M Ballings, D Van den Poel INFORMS annual meeting 2016, 2016 | | 2016 |
