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2020 – today
- 2021
[j8]Lars Patrick Hillebrand, David Biesner
, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. Mach. Learn. Knowl. Extr. 3(1): 123-167 (2021)- [c73]Rafet Sifa, Anders Drachen, Florian Block, Spencer Moon, Anisha Dubhashi, Hao Xiao, Zili Li, Diego Klabjan, Simon Demediuk:
Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. ACSW 2021: 24:1-24:8 - 2020
- [j7]Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage, Kristian Kersting:
Matrix- and Tensor Factorization for Game Content Recommendation. Künstliche Intell. 34(1): 57-67 (2020) - [c72]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. CD-MAKE 2020: 401-422 - [c71]Rhys Agombar, Max Lübbering, Rafet Sifa:
A Clustering Backed Deep Learning Approach for Document Layout Analysis. CD-MAKE 2020: 423-430 - [c70]Christian Bauckhage, Michael Bortz, Rafet Sifa:
Shells within Minimum Enclosing Balls. DSAA 2020: 178-187 - [c69]Izel Çavusoglu, Maren Pielka, Rafet Sifa:
Adapting Established Text Representations for Predicting Review Sentiment in Turkish. DSAA 2020: 755-756 - [c68]Hanna Kondratiuk, Rafet Sifa:
Towards An Empirical and Theoretical Evaluation of Gradient Based Approaches for finding Kernel Minimum Enclosing Balls. DSAA 2020: 765-766 - [c67]Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage:
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. ICANN (1) 2020: 27-38 - [c66]Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa:
Hopfield Networks for Vector Quantization. ICANN (2) 2020: 192-203 - [c65]Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Guided Reinforcement Learning via Sequence Learning. ICANN (2) 2020: 335-345 - [c64]Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
Supervised Autoencoder Variants for End to End Anomaly Detection. ICPR Workshops (2) 2020: 566-581 - [c63]Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage:
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. ICPR 2020: 6696-6701 - [c62]Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke:
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. IDA 2020: 548-560 - [c61]Christian Bauckhage, Ramsés J. Sánchez, Rafet Sifa:
Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. IJCNN 2020: 1-6 - [c60]Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage:
Novelty-Guided Reinforcement Learning via Encoded Behaviors. IJCNN 2020: 1-8 - [c59]Christian Bauckhage, Rafet Sifa, Dirk Hecker:
tanh Neurons Are Bayesian Decision Makers. IntelliSys (3) 2020: 703-707 - [c58]Rafet Sifa, Christian Bauckhage:
Novelty Discovery with Kernel Minimum Enclosing Balls. LION 2020: 414-420 - [c57]Rafet Sifa:
DESICOM as Metaheuristic Search. LION 2020: 421-427 - [c56]Rafet Sifa, Michael Fedell, Nathan Franklin, Diego Klabjan, Shiva Ram, Arpan Venugopal, Simon Demediuk, Anders Drachen:
Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. SAI (1) 2020: 297-308 - [c55]Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Max-Sum Diversification. SDM 2020: 343-351 - [c54]David Biesner, Eduardo Brito, Lars Patrick Hillebrand, Rafet Sifa:
Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3. SwissText/KONVENS 2020 - [i4]Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage:
NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. CoRR abs/2011.08272 (2020) - [i3]David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka:
Generative Deep Learning Techniques for Password Generation. CoRR abs/2012.05685 (2020)
2010 – 2019
- 2019
- [b1]Rafet Sifa:
A machine learning perspective on unraveling, modeling and predicting player behavior in digital games. University of Bonn, Germany, 2019, pp. 1-215 - [j6]Günter Wallner, Christopher Schinnerl, Michael Helfried Schiller, Alexander Monte Calvo, Johanna Pirker, Rafet Sifa, Anders Drachen:
Beyond the individual: Understanding social structures of an online player matchmaking website. Entertain. Comput. 30 (2019) - [j5]Michael Helfried Schiller, Günter Wallner, Christopher Schinnerl, Alexander Monte Calvo, Johanna Pirker, Rafet Sifa, Anders Drachen:
Inside the Group: Investigating Social Structures in Player Groups and Their Influence on Activity. IEEE Trans. Games 11(4): 416-425 (2019) - [c53]Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk:
A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW 2019: 45:1-45:7 - [c52]Eduardo Brito, Rafet Sifa, Christian Bauckhage:
Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch. GxG@CLIN 2019: 22-29 - [c51]Eduardo Brito, Rafet Sifa, Christian Bauckhage, Rüdiger Loitz, Uwe Lohmeier, Christin Pünt:
A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking. DocEng 2019: 36:1-36:4 - [c50]Rafet Sifa, Anna Ladi, Maren Pielka, Rajkumar Ramamurthy, Lars Patrick 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. DocEng 2019: 41:1-41:4 - [c49]Christian Bauckhage, Rafet Sifa:
Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. DSAA 2019: 252-259 - [c48]Myat Aung, Simon Demediuk, Yuan Sun, Ye Tu, Yu Ang, Siva Nekkanti, Shantanu Raghav, Diego Klabjan, Rafet Sifa, Anders Drachen:
The trails of Just Cause 2: spatio-temporal player profiling in open-world games. FDG 2019: 41:1-41:11 - [c47]Rajkumar Ramamurthy, Robin Stenzel, Rafet Sifa, Anna Ladi, Christian Bauckhage:
Echo State Networks for Named Entity Recognition. ICANN (Workshop) 2019: 110-120 - [c46]Christian Bauckhage, Rafet Sifa, Tiansi Dong:
Prototypes Within Minimum Enclosing Balls. ICANN (Workshop) 2019: 365-376 - [c45]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schücker, Stefan Wrobel:
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. ICANN (2) 2019: 595-607 - [c44]César Ali Marin Ojeda, Kostadin Cvejoski, Rafet Sifa, Jannis Schücker, Christian Bauckhage:
Patterns and Outliers in Temporal Point Processes. IntelliSys (1) 2019: 507-526 - [c43]Maren Pielka, Rafet Sifa, Rajkumar Ramamurthy, César Ojeda, Christian Bauckhage:
A Community Detection Based Approach for Exploring Patterns in Player Reviews. IntelliSys (1) 2019: 553-565 - [c42]Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
A QUBO Formulation of the k-Medoids Problem. LWDA 2019: 54-63 - [c41]Christian Bauckhage, Rafet Sifa, Dirk Hecker, Stefan Wrobel:
Max-Sum Dispersion via Quantum Annealing. LWDA 2019: 64-68 - [c40]Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Contradiction Detection in German: a Translation-Driven Approach. SSCI 2019: 2497-2505 - 2018
- [j4]Ryan Perry, Anders Drachen, Allison Kearney, Simone Kriglstein, Lennart E. Nacke, Rafet Sifa, Guenter Wallner, Daniel M. Johnson:
Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play. Comput. Hum. Behav. 79: 202-210 (2018) - [j3]Johanna Pirker, André Rattinger, Anders Drachen, Rafet Sifa:
Analyzing player networks in Destiny. Entertain. Comput. 25: 71-83 (2018) - [c39]Rafet Sifa, Eric Pawlakos, Kevin Zhai, Sai Haran, Rohan Jha, Diego Klabjan, Anders Drachen:
Controlling the crucible: a novel PvP recommender systems framework for destiny. ACSW 2018: 39:1-39:10 - [c38]Anders Drachen, Mari Pastor, Aron Liu, Dylan Jack Fontaine, Yuan Chang, Julian Runge, Rafet Sifa, Diego Klabjan:
To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions. ACSW 2018: 40:1-40:10 - [c37]Rafet Sifa, Raheel Yawar, Rajkumar Ramamurthy, Christian Bauckhage:
Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation. AIIDE 2018: 102-108 - [c36]Christian Drescher, Guenter Wallner, Simone Kriglstein, Rafet Sifa, Anders Drachen, Margit Pohl:
What Moves Players?: Visual Data Exploration of Twitter and Gameplay Data. CHI 2018: 560 - [c35]Rafet Sifa, Julian Runge, Christian Bauckhage, Daniel Klapper:
Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE. HICSS 2018: 1-10 - [c34]Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel:
Policy Learning Using SPSA. ICANN (3) 2018: 3-12 - [c33]Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage:
Simple Recurrent Neural Networks for Support Vector Machine Training. ICANN (3) 2018: 13-22 - [c32]Rafet Sifa:
An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization. ICANN (2) 2018: 369-379 - [c31]Christian Bauckhage, César Ojeda, Rafet Sifa, Stefan Wrobel:
Adiabatic Quantum Computing for Kernel k=2 Means Clustering. LWDA 2018: 21-32 - [c30]Christian Bauckhage, César Ojeda, Jannis Schücker, Rafet Sifa, Stefan Wrobel:
Informed Machine Learning Through Functional Composition. LWDA 2018: 33-37 - 2017
- [c29]Yaser Norouzzadeh Ravari, Pieter Spronck, Rafet Sifa, Anders Drachen:
Predicting Victory in a Hybrid Online Competitive Game: The Case of Destiny. AIIDE 2017: 207-213 - [c28]Mike Schaekermann, Giovanni Ribeiro, Guenter Wallner, Simone Kriglstein, Daniel M. Johnson, Anders Drachen, Rafet Sifa, Lennart E. Nacke:
Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny". CHI PLAY 2017: 143-156 - [c27]Tom Stafford, Sam Devlin, Rafet Sifa, Anders Drachen:
Exploration and Skill Acquisition in a Major Online Game. CogSci 2017 - [c26]Rafet Sifa, Christian Bauckhage:
Online k-Maxoids Clustering. DSAA 2017: 667-675 - [c25]Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel:
Ising Models for Binary Clustering via Adiabatic Quantum Computing. EMMCVPR 2017: 3-17 - [c24]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Inverse Dynamical Inheritance in Stack Exchange Taxonomies. ICWSM 2017: 644-647 - [c23]Rafet Sifa, César Ojeda, Kostadin Cvejoski, Christian Bauckhage:
Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. LWDA 2017: 74 - [c22]Eduardo Brito, Rafet Sifa, Christian Bauckhage:
KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences. LWDA 2017: 87 - 2016
- [c21]Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Rafet Sifa, Julian Runge, Diego Klabjan:
Rapid Prediction of Player Retention in Free-to-Play Mobile Games. AIIDE 2016: 23-29 - [c20]Anders Drachen, James Green, Chester Gray, Elie Harik, Patty Lu, Rafet Sifa, Diego Klabjan:
Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny. CIG 2016: 1-8 - [c19]Anders Drachen, Nicholas Ross, Julian Runge, Rafet Sifa:
Stylized facts for mobile game analytics. CIG 2016: 1-8 - [c18]Rafet Sifa, Sridev Srikanth, Anders Drachen, César Ojeda, Christian Bauckhage:
Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning. CIG 2016: 1-8 - [c17]Marco Tamassia, William L. Raffe, Rafet Sifa, Anders Drachen, Fabio Zambetta, Michael Hitchens:
Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game. CIG 2016: 1-8 - [c16]André Rattinger, Günter Wallner, Anders Drachen, Johanna Pirker, Rafet Sifa:
Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny. ICEC 2016: 77-89 - [c15]Johanna Pirker, Simone Griesmayr, Anders Drachen, Rafet Sifa:
How Playstyles Evolve: Progression Analysis and Profiling in Just Cause 2. ICEC 2016: 90-101 - [c14]César Ojeda, Kostadin Cvejoski, Rafet Sifa, Christian Bauckhage:
Variable Attention and Variable Noise: Forecasting User Activity. LWDA 2016: 347-358 - [i2]Anders Drachen, Eric Thurston Lundquist, Yungjen Kung, Pranav Simha Rao, Diego Klabjan, Rafet Sifa, Julian Runge:
Rapid Prediction of Player Retention in Free-to-Play Mobile Games. CoRR abs/1607.03202 (2016) - 2015
- [j2]Christian Bauckhage, Anders Drachen, Rafet Sifa:
Clustering Game Behavior Data. IEEE Trans. Comput. Intell. AI Games 7(3): 266-278 (2015) - [c13]Rafet Sifa, Fabian Hadiji, Julian Runge, Anders Drachen, Kristian Kersting, Christian Bauckhage:
Predicting Purchase Decisions in Mobile Free-to-Play Games. AIIDE 2015: 79-85 - [c12]Rafet Sifa, Anders Drachen, Christian Bauckhage:
Large-Scale Cross-Game Player Behavior Analysis on Steam. AIIDE 2015: 198-204 - [c11]Christian Bauckhage, Rafet Sifa:
k-Maxoids Clustering. LWA 2015: 133-144 - [c10]Rafet Sifa, César Ojeda, Christian Bauckhage:
User Churn Migration Analysis with DEDICOM. RecSys 2015: 321-324 - 2014
- [j1]Anders Drachen, Rafet Sifa, Christian Thurau:
The name in the game: Patterns in character names and gamer tags. Entertain. Comput. 5(1): 21-32 (2014) - [c9]Christian Bauckhage, Rafet Sifa, Anders Drachen, Christian Thurau, Fabian Hadiji:
Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels. CIG 2014: 1-8 - [c8]Fabian Hadiji, Rafet Sifa, Anders Drachen, Christian Thurau, Kristian Kersting, Christian Bauckhage:
Predicting player churn in the wild. CIG 2014: 1-8 - [c7]Rafet Sifa, Christian Bauckhage, Anders Drachen:
The Playtime Principle: Large-scale cross-games interest modeling. CIG 2014: 1-8 - [c6]Rafet Sifa, Christian Bauckhage, Anders Drachen:
Archetypal Game Recommender Systems. LWA 2014: 45-56 - [i1]Anders Drachen, Christian Thurau, Rafet Sifa, Christian Bauckhage:
A Comparison of Methods for Player Clustering via Behavioral Telemetry. CoRR abs/1407.3950 (2014) - 2013
- [c5]Rafet Sifa, Christian Bauckhage:
Archetypical motion: Supervised game behavior learning with Archetypal Analysis. CIG 2013: 1-8 - [c4]Rafet Sifa, Anders Drachen, Christian Bauckhage, Christian Thurau, Alessandro Canossa:
Behavior evolution in Tomb Raider Underworld. CIG 2013: 1-8 - [c3]Anders Drachen, Christian Thurau, Rafet Sifa, Christian Bauckhage:
A comparison of methods for player clustering via behavioral telemetry. FDG 2013: 245-252 - 2012
- [c2]Christian Bauckhage, Kristian Kersting, Rafet Sifa, Christian Thurau, Anders Drachen, Alessandro Canossa:
How players lose interest in playing a game: An empirical study based on distributions of total playing times. CIG 2012: 139-146 - [c1]Anders Drachen, Rafet Sifa, Christian Bauckhage, Christian Thurau:
Guns, swords and data: Clustering of player behavior in computer games in the wild. CIG 2012: 163-170
Coauthor Index
[j8] [j7] [c72] [c70] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c55] [i4] [c52] [c51] [c50] [c49] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c37] [c35] [c34] [c33] [c31] [c30] [c26] [c25] [c24] [c23] [c22] [c18] [c14] [j2] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [i1] [c5] [c4] [c3] [c2] [c1]
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