| 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 | 54 | 2018 |
| ProfARIMA: A profit-driven order identification algorithm for ARIMA models in sales forecasting T Van Calster, B Baesens, W Lemahieu Applied Soft Computing 60, 775-785, 2017 | 36 | 2017 |
| 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 | 16 | 2019 |
| 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 | 4 | 2016 |
| Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective T Van Calster, FV Bossche, B Baesens, W Lemahieu arXiv preprint arXiv:2002.00949, 2020 | 3 | 2020 |
| API for prediction and machine learning: poll results and analysis J Lismont, T Van Calster, M Oskarsdottir, J Vanthienen, B Baesens, ... KDnuggets News, 2015 | 1 | 2015 |
| A matter of time-leveraging time series data for business applications. T Van Calster | | 2018 |
| A representation of dynamic networks for early churn detection in telco M Oskarsdottir, T Van Calster, B Baesens, W Lemahieu, J Vanthienen NetSci 2018, Date: 2018/06/11-2018/06/15, Location: Paris (France), 2018 | | 2018 |
| Forecasting blood donations with neural networks T Van Calster, M Reusens, B Baesens, W Lemahieu Business analytics in finance and industry, Date: 2018/01/17-2018/01/19 …, 2018 | | 2018 |
| Clustering time series from call networks to predict churn M Oskarsdottir, T Van Calster, W Lemahieu, B Baesens, J Vanthienen ENBIS-17, Date: 2017/09/09-2017/09/14, Location: Naples (Italy), 2017 | | 2017 |
| What's in the network? A stepwise overview of working with networked data in R T Van Calster, M Reusens, M Óskarsdóttir, S Mitrovic, J Lismont, ... useR!, Date: 2017/07/05-2017/07/07, Location: Brussels (Belgium), 2017 | | 2017 |
| Forecasting blood donations with Google Trends T Van Calster, M Reusens, B Baesens, W Lemahieu International Symposium on Forecasting, Date: 2016/06/19-2016/06/22 …, 2016 | | 2016 |
| Data-driven algorithm for bottom-up hierarchical forecasting: a global sales forecast for the Coca-Cola Company T Van Calster, W Lemahieu, B Baesens Business Analytics in Finance and Industry, Date: 2015/12/14-2015/12/16 …, 2016 | | 2016 |
| Hierarchical sales forecasting for The Coca-Cola Company-A time series benchmark and initial tool optimization T Van Calster, W Lemahieu, B Baesens European Conference on Operational Research, Date: 2015/07/12-2015/07/15 …, 2015 | | 2015 |
