| Evaluating multiple classifiers for stock price direction prediction M Ballings, D Van den Poel, N Hespeels, R Gryp Expert Systems with Applications 42 (20), 7046-7056, 2015 | 274 | 2015 |
| Customer Event History for Churn Prediction: How long is long enough? M Ballings, DV Poel Expert Systems with Applications, 2012 | 70 | 2012 |
| Identifying new product ideas: waiting for the wisdom of the crowd or screening ideas in real time S Hoornaert, M Ballings, EC Malthouse, D Van den Poel Journal of Product Innovation Management 34 (5), 580-597, 2017 | 69 | 2017 |
| CRM in social media: Predicting increases in Facebook usage frequency M Ballings, D Van den Poel European Journal of Operational Research 244 (1), 248-260, 2015 | 58 | 2015 |
| The added value of auxiliary data in sentiment analysis of Facebook posts M Meire, M Ballings, D Van den Poel Decision Support Systems 89, 98-112, 2016 | 39 | 2016 |
| AUC: Threshold independent performance measures for probabilistic classifiers. 2013 M Ballings, D Van den Poel URL http://CRAN. R-project. org/package= AUC. R package version 0.3. 0, 2017 | 35* | 2017 |
| The added value of social media data in B2B customer acquisition systems: A real-life experiment M Meire, M Ballings, D Van den Poel Decision Support Systems 104, 26-37, 2017 | 28 | 2017 |
| 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 | 28 | 2016 |
| Cause marketing and customer profitability M Ballings, H McCullough, N Bharadwaj Journal of the Academy of Marketing Science 46 (2), 234-251, 2018 | 27 | 2018 |
| The role of marketer-generated content in customer engagement marketing M Meire, K Hewett, M Ballings, V Kumar, D Van den Poel Journal of Marketing 83 (6), 21-42, 2019 | 25 | 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 | 24 | 2016 |
| Kernel Factory: An ensemble of kernel machines M Ballings, D Van den Poel Expert Systems with Applications 40 (8), 2904-2913, 2013 | 23 | 2013 |
| 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 (1-2), 501-527, 2018 | 15 | 2018 |
| 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 | 12 | 2019 |
| 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 | 8 | 2017 |
| Improving customer churn prediction by data augmentation using pictorial stimulus-choice data M Ballings, D Van den Poel, E Verhagen Management intelligent systems, 217-226, 2012 | 6 | 2012 |
| rotationForest: Fit and Deploy Rotation Forest Models M Ballings, D Van den Poel http://cran.r-project.org/web/packages/rotationForest/index.html, 2015 | 5 | 2015 |
| Cross-media consumption: Insights from super bowl advertising N Bharadwaj, M Ballings, PA Naik Journal of Interactive Marketing 50, 17-31, 2020 | 3 | 2020 |
| Equity price direction prediction for day trading: Ensemble classification using technical analysis indicators with interaction effects D Van den Poel, C Chesterman, M Koppen, M Ballings 2016 IEEE Congress on Evolutionary Computation (CEC), 3455-3462, 2016 | 2 | 2016 |
| Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn M Ballings, D Van den Poel 2013 IEEE 13th International Conference on Data Mining Workshops, 201-205, 2013 | 2 | 2013 |
Dirk Van den PoelFull Professor (Hoogleraar) Marketing Analytics, Ghent UniversityVerified email at ugent.be
