Publications
See my Google Scholar page for a more up-to-date list of my publications .
Here is a selected list of my peer-reviewed publications:
Rafet Sifa. “Predicting Player Churn with Echo State Networks.” In Proceedings of the IEEE Conference on Games, IEEE, 2021. URL, PDF
Hanna Kondratiuk and Rafet Sifa. “Towards Structural Hyperparameter Search in Kernel Minimum Enclosing Balls.” In Proceedings of Learning and Intelligent Optimization Conference, Springer, 2021. URL
Rhys Agombar, Christian Bauckhage, Max Luebbering and Rafet Sifa. “An Optimization for Convolutional Network Layers using the Viola-Jones Framework and Ternary Weight Networks.” In Proceedings of Learning and Intelligent Optimization Conference, Springer, 2021. URL
Rafet Sifa, Anders Drachen, Florian Block, Anisha Dubhashi, Spencer Seongjae Moon, Hao Xiao, Zili Li, Diego Klabjan, Simon Demediuk. “Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games.” In Proceedings of the Australasian Computer Science Week Multiconference, ACM, 2021. Draft
Maren Pielka, Rafet Sifa, Lars Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage. “Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks.” In Proceedings of International Conference on Pattern Recognition (ICPR), IEEE, 2021. URL
Lars Hillebrand, David Biesner, Christian Bauckhage, and Rafet Sifa. "Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM." Machine Learning and Knowledge Extraction 3, no. 1 (2021): 123-167. URL
Rafet Sifa. “DESICOM as Metaheuristic Search.” In Proceedings of Learning and Intelligent Optimization Conference, Springer, 2020. Bibtex
Rafet Sifa and Christian Bauckhage. “Novelty Discovery with Kernel Minimum Enclosing Balls.” In Proceedings of Learning and Intelligent Optimization Conference, Springer, 2020. Bibtex
Rafet Sifa, Michael Fedell, Nathan Franklin, Diego Klabjan, Shiva Ram, Arpan Venugopal, Simon Demediuk, and Anders Drachen. “Retention Prediction in Sandbox Games with Bipartite Tensor Factorization.” In Proceedings of Computing Conference, Springer, 2020. Bibtex, Draft
Christian Bauckhage, Rafet Sifa and Stefan Wrobel. “Adiabatic Quantum Computing for Max-Sum Diversification.” In Proceedings of SIAM International Conference on Data Mining, SIAM, 2020. URL
Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, and Christian Bauckhage. "Guided Reinforcement Learning via Sequence Learning." In Proceedings of International Conference on Artificial Neural Networks. Springer, 2020.
Christian Bauckhage, Rajkumar Ramamurthy, and Rafet Sifa. "Hopfield Networks for Vector Quantization." In Proceedings of International Conference on Artificial Neural Networks, pp. 192-203. Springer, 2020.
Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, and Christian Bauckhage. "From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders." In Proceedings of International Conference on Artificial Neural Networks. Springer, 2020.
Rhys Agombar, Max Lübbering, and Rafet Sifa. “A Clustering Backed Deep Learning Approach for Document Layout Analysis.” In Proceedings of International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Springer, 2020. URL, Draft
Lars Hillebrand, David Biesner, Christian Bauckhage, and Rafet Sifa. "Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM." In Proceedings of International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Springer, 2020. URL, Draft
Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Hillebrand, Christian Bauckhage. “Towards Contradiction Detection in German: a Translation-Driven Approach.” In Proceedings of Symposium Series on Computational Intelligence (SSCI), IEEE, 2019. URL, Bibtex
Christian Bauckhage, Rafet Sifa and Tiansi Dong. “Prototypes within Minimum Enclosing Balls.” In Proceedings of International Conference on Artificial Neural Networks, Springer, 2019. [Won the Best Paper Award], URL, Bibtex
Rafet Sifa, Anna Ladi, Maren Pielka, Rajkumar Ramamurthy, Lars Hillebrand, Birgit Kirsch, David Biesner, Robin Stenzel, Thiago Bell, Max Lübbering, Ulrich Nütten, Christian Bauckhage, Ulrich Warning, Benedikt Fürst, Tim Dilmaghani Khameneh, Daniel Thom, Ilgar Huseynov, Roland Kahlert, Jennifer Schlums, Hisham Ismail, Bernd Kliem, Rüdiger Loitz. “Towards Automated Auditing with Machine Learning.” In Proceedings of the Symposium on Document Engineering, ACM, 2019. URL, Draft, Bibtex
Rafet Sifa. “An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization.” In Proceedings of International Conference on Artificial Neural Networks, Springer, 2018. Draft, URL, Bibtex
Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage. “Simple Recurrent Neural Networks for Support Vector Machine Training.” In Proceedings of International Conference on Artificial Neural Networks, Springer, 2018. URL, Bibtex
Rafet Sifa, Anders Drachen and Christian Bauckhage. “Profiling in Games: Understanding Behavior from Telemetry.” In Social Interaction in Virtual Worlds, Cambridge University Press, 2018. Draft, Bibtex
Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy and Christian Bauckhage. “Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation.” In Artificial Intelligence and Interactive Digital Entertainment Conference. AAAI, 2018. URL, Draft
Rafet Sifa and Christian Bauckhage. “Online k-Maxoids Clustering.” In Proceedings of Data Science and Advanced Analytics, IEEE, 2017. Draft, URL, Bibtex
Rafet Sifa, Cesar Ojeda, Kostadin Cvejoski and Christian Bauckhage. “Interpretable Matrix Factorization with Stochasticity Constrained Nonnegative DEDICOM.” In Proceedings of LWDA Knowledge Discovery and Machine Learning, 2017. URL, Bibtex
Rafet Sifa, Sridev Srikanth, Anders Drachen, César Ojeda and Christian Bauckhage. “Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2016. Draft, URL
Anders Drachen, James Green, Chester Gray, Elie Harik, Patty Lu, Rafet Sifa and Diego Klabjan. “Guns and Guardians: Comparative Cluster Analysis and Behavioral Profiling in Destiny.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2016. URL
Anders Drachen, Nicholas Ross, Julian Runge and Rafet Sifa. “Stylized Facts for Mobile Game Analytics.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2016. URL
Marco Tamassia, William Raffe, Rafet Sifa, Anders Drachen, Fabio Zambetta and Michael Hitchens. “Predicting Player Churn in Destiny: A Hidden Markov Models Approach to Predicting Player Departure in a Major Online Game.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2016. URL
Cesar Ojeda, Kostadin Cvejoski, Rafet Sifa, and Christian Bauckhage. “Variable Attention and Variable Noise: Forecasting User Activity.” In Proceedings of the Workshop on Knowledge Discovery, Data Mining and Machine Learning. LWDA, 2016. URL
Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Rao, Rafet Sifa, Julian Runge and Diego Klabjan. “Rapid Prediction of Player Retention in Free-to-Play Mobile Games.” In Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference. AAAI, 2016. Draft, URL
Andre Rattinger, Gunter Wallner, Anders Drachen, Johanna Pirker, and Rafet Sifa. “Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny.” In Proceedings of the International Conference on Entertainment Computing. IFIP Springer, 2016. [Won the Best Paper Award] Draft, URL
Rafet Sifa, Fabian Hadiji, Julian Runge, Anders Drachen, Kristian Kersting, and Christian Bauckhage. “Predicting Purchase Decisions in Mobile Free-to-Play Games.” In Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference. AAAI, 2015. [Won the Best Paper Award], URL, Draft
Rafet Sifa, César Ojeda, and Christian Bauckhage. “User Churn Migration Analysis with DEDICOM.” In Proceedings of the ACM Conference on Recommender Systems. ACM, 2015. URL
Christian Bauckhage, and Rafet Sifa. “k-Maxoids Clustering.” In Proceedings of the Workshop on Knowledge Discovery, Data Mining and Machine Learning. LWA, 2015. URL
Rafet Sifa, Anders Drachen, and Christian Bauckhage. “Large-Scale Cross-Game Player Behavior Analysis on Steam.” In Artificial Intelligence and Interactive Digital Entertainment Conference. AAAI, 2015. URL
Christian Bauckhage, Anders Drachen, and Rafet Sifa. “Clustering Game Behavior Data.” IEEE Transactions on Computational Intelligence and AI in Games 7, no. 3 (2015): 266-278. URL
Fabian Hadiji, Rafet Sifa, Anders Drachen, Christian Thurau, Kristian Kersting, and Christian Bauckhage. “Predicting Player Churn in the Wild.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2014. URL
Christian Bauckhage, Rafet Sifa, Anders Drachen, Christian Thurau, and Fabian Hadiji. “Beyond Heatmaps: Spatio-temporal Clustering Using Behavior-based Partitioning of Game Levels.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2014. URL
Rafet Sifa, Christian Bauckhage, and Anders Drachen. “The Playtime Principle: Large-scale Cross-games Interest Modeling.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2014. URL
Rafet Sifa, Christian Bauckhage, and Anders Drachen. “Archetypal Game Recommender Systems.” In Proceedings of the Workshop on Knowledge Discovery, Data Mining and Machine Learning. LWA, 2014. URL
Anders Drachen, Rafet Sifa, and Christian Thurau. “The Name in the Game: Patterns in Character Names and Gamer Tags.” Entertainment Computing 5, no. 1 (2014): 21-32. URL
Rafet Sifa, Anders Drachen, Christian Bauckhage, Christian Thurau, and Alessandro Canossa. “Behavior Evolution in Tomb Raider Underworld.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2013. URL
Anders Drachen, Christian Thurau, Rafet Sifa, and Christian Bauckhage. “A Comparison of Methods for Player Clustering via Behavioral Telemetry.” In Proceedings of the Conference on Foundation of Digital Games. 2013. Draft, URL
Rafet Sifa, and Christian Bauckhage. “Archetypical Motion: Supervised Game Behavior Learning With Archetypal Analysis.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2013. URL
Anders Drachen, Rafet Sifa, Christian Bauckhage, and Christian Thurau. “Guns, Swords and Data: Clustering of Player Behavior in Computer Games in the Wild.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2012. URL
Christian Bauckhage, Kristian Kersting, Rafet Sifa, Christian Thurau, Anders Drachen, and Alessandro Canossa. “How Players Lose Interest in Playing a Game: An Empirical Study Based on Distributions of Total Playing Times.” In Proceedings of the Conference on Computational Intelligence and Games. IEEE, 2012. URL