| Guns, swords and data: Clustering of player behavior in computer games in the wild A Drachen, R Sifa, C Bauckhage, C Thurau 2012 IEEE conference on Computational Intelligence and Games (CIG), 163-170, 2012 | 243 | 2012 |
| Predicting player churn in the wild F Hadiji, R Sifa, A Drachen, C Thurau, K Kersting, C Bauckhage 2014 ieee conference on computational intelligence and games, 1-8, 2014 | 230 | 2014 |
| Combining machine learning and simulation to a hybrid modelling approach: Current and future directions L von Rueden, S Mayer, R Sifa, C Bauckhage, J Garcke Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020 | 225 | 2020 |
| Clustering game behavior data C Bauckhage, A Drachen, R Sifa IEEE Transactions on Computational Intelligence and AI in Games 7 (3), 266-278, 2014 | 147 | 2014 |
| Predicting purchase decisions in mobile free-to-play games R Sifa, F Hadiji, J Runge, A Drachen, K Kersting, C Bauckhage proceedings of the AAAI conference on artificial intelligence and …, 2015 | 137 | 2015 |
| How players lose interest in playing a game: An empirical study based on distributions of total playing times C Bauckhage, K Kersting, R Sifa, C Thurau, A Drachen, A Canossa 2012 IEEE conference on computational intelligence and games (CIG), 139-146, 2012 | 125 | 2012 |
| Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play R Perry, A Drachen, A Kearney, S Kriglstein, LE Nacke, R Sifa, G Wallner, ... Computers in Human Behavior 79, 202-210, 2018 | 107 | 2018 |
| A comparison of methods for player clustering via behavioral telemetry A Drachen, C Thurau, R Sifa, C Bauckhage arXiv preprint arXiv:1407.3950, 2013 | 92 | 2013 |
| The playtime principle: Large-scale cross-games interest modeling R Sifa, C Bauckhage, A Drachen 2014 IEEE conference on computational intelligence and games, 1-8, 2014 | 86 | 2014 |
| Is reinforcement learning (not) for natural language processing: Benchmarks, baselines, and building blocks for natural language policy optimization R Ramamurthy, P Ammanabrolu, K Brantley, J Hessel, R Sifa, ... arXiv preprint arXiv:2210.01241, 2022 | 76 | 2022 |
| Large-scale cross-game player behavior analysis on steam R Sifa, A Drachen, C Bauckhage Proceedings of the AAAI Conference on Artificial Intelligence and …, 2015 | 70 | 2015 |
| Archetypal Game Recommender Systems R Sifa, C Bauckhage, A Drachen LWA KDML, 2014 | 61 | 2014 |
| Rapid prediction of player retention in free-to-play mobile games A Drachen, E Lundquist, Y Kung, P Rao, R Sifa, J Runge, D Klabjan Proceedings of the AAAI Conference on Artificial Intelligence and …, 2016 | 52 | 2016 |
| Profiling in games: Understanding behavior from telemetry R Sifa, A Drachen, C Bauckhage Social interactions in virtual worlds: An interdisciplinary perspective, 337-374, 2018 | 51 | 2018 |
| Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game M Tamassia, W Raffe, R Sifa, A Drachen, F Zambetta, M Hitchens 2016 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2016 | 51 | 2016 |
| Customer lifetime value prediction in non-contractual freemium settings: Chasing high-value users using deep neural networks and SMOTE R Sifa, J Runge, C Bauckhage, D Klapper | 50 | 2018 |
| A QUBO Formulation of the k-Medoids Problem. C Bauckhage, N Piatkowski, R Sifa, D Hecker, S Wrobel LWDA, 54-63, 2019 | 49 | 2019 |
| Towards automated auditing with machine learning R Sifa, A Ladi, M Pielka, R Ramamurthy, L Hillebrand, B Kirsch, D Biesner, ... Proceedings of the ACM Symposium on Document Engineering 2019, 1-4, 2019 | 47 | 2019 |
| To be or not to be... social: Incorporating simple social features in mobile game customer lifetime value predictions A Drachen, M Pastor, A Liu, DJ Fontaine, Y Chang, J Runge, R Sifa, ... proceedings of the australasian computer science week multiconference, 1-10, 2018 | 46 | 2018 |
| KPI-BERT: A joint named entity recognition and relation extraction model for financial reports L Hillebrand, T Deußer, T Dilmaghani, B Kliem, R Loitz, C Bauckhage, ... 2022 26th International Conference on Pattern Recognition (ICPR), 606-612, 2022 | 45 | 2022 |
Christian BauckhageProf. of Computer Science, University of Bonn, Fraunhofer IAIS, LAMARR InstituteEmail verificata su bit.uni-bonn.de
