Rafet Sifa

发表

Echo State Networks for Named Entity Recognition

Christian Bauckhage, Rajkumar Ramamurthy, Robin Stenzel, 2019, ICANN.

Prototypes Within Minimum Enclosing Balls

Tiansi Dong, Christian Bauckhage, Rafet Sifa, 2019, ICANN.

KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences

Christian Bauckhage, Rafet Sifa, Eduardo Brito, 2017, LWDA.

An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization

Rafet Sifa, 2018, ICANN.

What Moves Players?: Visual Data Exploration of Twitter and Gameplay Data

Margit Pohl, Anders Drachen, Rafet Sifa, 2018, CHI.

Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation

Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa, 2018, AIIDE.

How Playstyles Evolve: Progression Analysis and Profiling in Just Cause 2

Johanna Pirker, Anders Drachen, Rafet Sifa, 2016, ICEC.

Large-Scale Cross-Game Player Behavior Analysis on Steam

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2021, AIIDE.

Simple Recurrent Neural Networks for Support Vector Machine Training

Daniel Paurat, Christian Bauckhage, Rafet Sifa, 2018, ICANN.

Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE

Christian Bauckhage, Rafet Sifa, Daniel Klapper, 2018, HICSS.

Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels

Christian Bauckhage, Fabian Hadiji, Anders Drachen, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

Beyond the individual: Understanding social structures of an online player matchmaking website

Johanna Pirker, Günter Wallner, Anders Drachen, 2019, Entertain. Comput..

Analyzing player networks in Destiny

Johanna Pirker, Anders Drachen, Rafet Sifa, 2018, Entertain. Comput..

Inverse Dynamical Inheritance in Stack Exchange Taxonomies

Christian Bauckhage, Rafet Sifa, Kostadin Cvejoski, 2017, ICWSM.

To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions

Diego Klabjan, Yuan Chang, Anders Drachen, 2018, ACSW.

Guns, swords and data: Clustering of player behavior in computer games in the wild

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2012, 2012 IEEE Conference on Computational Intelligence and Games (CIG).

Ising Models for Binary Clustering via Adiabatic Quantum Computing

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2017, EMMCVPR.

Evolutionary Behavioral Clustering in Tomb Raider

Anders Drachen, Rafet Sifa, Christian Thurau, 2013, CIG 2013.

Detecting and correcting spelling errors in high-quality Dutch Wikipedia text

Christian Bauckhage, Rafet Sifa, Maarten van Gompel, 2018 .

k-Maxoids Clustering

Christian Bauckhage, Rafet Sifa, 2015, LWA.

Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch

Christian Bauckhage, Rafet Sifa, Eduardo Brito, 2019, GxG@CLIN.

Behavior evolution in Tomb Raider Underworld

Christian Bauckhage, Alessandro Canossa, Anders Drachen, 2013, 2013 IEEE Conference on Computational Inteligence in Games (CIG).

How players lose interest in playing a game: An empirical study based on distributions of total playing times

Christian Bauckhage, Kristian Kersting, Alessandro Canossa, 2012, 2012 IEEE Conference on Computational Intelligence and Games (CIG).

Archetypal Game Recommender Systems

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2014, LWA.

Max-Sum Dispersion via Quantum Annealing

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2019, LWDA.

Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM

Christian Bauckhage, Rafet Sifa, Kostadin Cvejoski, 2017, LWDA.

Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny

Johanna Pirker, Günter Wallner, Anders Drachen, 2016, ICEC.

A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking

Christian Bauckhage, Rafet Sifa, Eduardo Brito, 2019, DocEng.

Clustering Game Behavior Data

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2015, IEEE Transactions on Computational Intelligence and AI in Games.

The Playtime Principle: Large-scale cross-games interest modeling

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

Adiabatic Quantum Computing for Kernel k=2 Means Clustering

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2018, LWDA.

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement

Diego Klabjan, Yue Cui, Ziwen Wang, 2019, ACSW.

Profiling in Games: Understanding Behavior from Telemetry

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2017 .

Predicting Victory in a Hybrid Online Competitive Game: The Case of Destiny

Pieter Spronck, Anders Drachen, Rafet Sifa, 2017, AIIDE.

Patterns and Outliers in Temporal Point Processes

Christian Bauckhage, Rafet Sifa, Kostadin Cvejoski, 2019, IntelliSys.

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures

Christian Bauckhage, Stefan Wrobel, Rajkumar Ramamurthy, 2019, ICANN.

tanh Neurons Are Bayesian Decision Makers

Rafet Sifa, Dirk Hecker, Christian Bauckhage, 2020, IntelliSys.

Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny

Diego Klabjan, Anders Drachen, Rafet Sifa, 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).

Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny"

Daniel M. Johnson, Anders Drachen, Lennart E. Nacke, 2017, CHI PLAY.

Online k-Maxoids Clustering

Christian Bauckhage, Rafet Sifa, C. Bauckhage, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3

Rafet Sifa, Lars Patrick Hillebrand, David Biesner, 2020, SwissText/KONVENS.

Informed Machine Learning Through Functional Composition

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2018, LWDA.

A QUBO Formulation of the k-Medoids Problem

Christian Bauckhage, Stefan Wrobel, Nico Piatkowski, 2019, LWDA.

Policy Learning Using SPSA

Christian Bauckhage, Stefan Wrobel, Rajkumar Ramamurthy, 2018, ICANN.

The trails of Just Cause 2: spatio-temporal player profiling in open-world games

Diego Klabjan, Anders Drachen, Rafet Sifa, 2019, FDG.

Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).

Predicting player churn in the wild

Christian Bauckhage, Fabian Hadiji, Kristian Kersting, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

Rapid Prediction of Player Retention in Free-to-Play Mobile Games

Diego Klabjan, Anders Drachen, Rafet Sifa, 2016, AIIDE.

Predicting Purchase Decisions in Mobile Free-to-Play Games

Christian Bauckhage, Fabian Hadiji, Kristian Kersting, 2015, AIIDE.

Exploration and Skill Acquisition in a Major Online Game

Sam Devlin, Anders Drachen, Rafet Sifa, 2017, CogSci.

Stylized facts for mobile game analytics

Anders Drachen, Rafet Sifa, Julian Runge, 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).

Archetypical motion: Supervised game behavior learning with Archetypal Analysis

Christian Bauckhage, Rafet Sifa, C. Bauckhage, 2013, 2013 IEEE Conference on Computational Inteligence in Games (CIG).

Predicting Player Chum In the Wild

Christian Bauckhage, Fabian Hadiji, Anders Drachen, 2014 .

Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play

Daniel M. Johnson, Anders Drachen, Lennart E. Nacke, 2018, Comput. Hum. Behav..

A comparison of methods for player clustering via behavioral telemetry pdf

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2013, FDG.

Controlling the crucible: a novel PvP recommender systems framework for destiny

Diego Klabjan, Anders Drachen, Rafet Sifa, 2018, ACSW.

Matrix- and Tensor Factorization for Game Content Recommendation

Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage, 2019, KI - Künstliche Intelligenz.

User Churn Migration Analysis with DEDICOM

Christian Bauckhage, Rafet Sifa, César Ojeda, 2015, RecSys.

Towards Automated Auditing with Machine Learning

Christian Bauckhage, Birgit Kirsch, Rajkumar Ramamurthy, 2019, DocEng.

Inside the Group: Investigating Social Structures in Player Groups and Their Influence on Activity

Johanna Pirker, Günter Wallner, Anders Drachen, 2019, IEEE Transactions on Games.

Variable Attention and Variable Noise: Forecasting User Activity

Christian Bauckhage, Rafet Sifa, Kostadin Cvejoski, 2016, LWDA.

The name in the game: Patterns in character names and gamer tags

Anders Drachen, Rafet Sifa, Christian Thurau, 2014, Entertain. Comput..

Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game

Fabio Zambetta, Michael Hitchens, Anders Drachen, 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).

A Community Detection Based Approach for Exploring Patterns in Player Reviews

Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa, 2019, IntelliSys.

Swords, Data and Balls: Extracting Extreme Behavioural Prototypes with Kernel Minimum Enclosing Balls

Rafet Sifa, Hanna Kondratiuk, 2021, 2021 IEEE Conference on Games (CoG).

Predicting Player Churn with Echo State Networks

Rafet Sifa, R. Sifa, 2021, 2021 IEEE Conference on Games (CoG).

Towards Structural Hyperparameter Search in Kernel Minimum Enclosing Balls

Rafet Sifa, Hanna Kondratiuk, R. Sifa, 2021, LION.

Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks

Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention pdf

Christian Bauckhage, Nico Piatkowski, Rafet Sifa, 2021, ArXiv.

Knowledge Graph Based Question Answering System for Financial Securities

Rafet Sifa, Max Lübbering, Lars Patrick Hillebrand, 2021, KI.

Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games

Diego Klabjan, Florian Block, Anders Drachen, 2021, ACSW.

Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM

Christian Bauckhage, Rafet Sifa, Lars Patrick Hillebrand, 2021, Mach. Learn. Knowl. Extr..

ALiBERT: improved automated list inspection (ALI) with BERT

Christian Bauckhage, Rajkumar Ramamurthy, Robin Stenzel, 2021, DocEng.

Advances in Password Recovery Using Generative Deep Learning Techniques

Rafet Sifa, Kostadin Cvejoski, Bogdan Georgiev, 2021, ICANN.

An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks

Christian Bauckhage, Rafet Sifa, Rhys Agombar, 2021, Learning and Intelligent Optimization.

Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization with Evolutionary Algorithms

Christian Bauckhage, Nico Piatkowski, Rafet Sifa, 2021, IEEE Access.

Utilizing Representation Learning for Robust Text Classification Under Datasetshift

Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa, 2021, LWDA.

DIBERT: Dependency Injected Bidirectional Encoder Representations from Transformers

Rafet Sifa, Abdul Wahab, 2021 .

Decoupling Autoencoders for Robust One-vs-Rest Classification

Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Anonymization of German financial documents using neural network-based language models with contextual word representations

Christian Bauckhage, Rajkumar Ramamurthy, Robin Stenzel, 2021, Int. J. Data Sci. Anal..

Adiabatic Quantum Computing for Binary Clustering

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2017, 1706.05528.

Investigating and Forecasting User Activities in Newsblogs: A Study of Seasonality, Volatility and Attention Burst

Christian Bauckhage, Rafet Sifa, César Ojeda, 2017 .

Beyond Spectral Clustering: A Comparative Study of Community Detection for Document Clustering

Rafet Sifa, Kostadin Cvejoski, César Ojeda, 2017 .

Towards German Word Embeddings: A Use Case with Predictive Sentiment Analysis

Christian Bauckhage, Rafet Sifa, Eduardo Brito, 2017 .

Interpretable Matrix Factorization with Stochasticity Constrained Nonnegative DEDICOM

Christian Bauckhage, Rafet Sifa, Kostadin Cvejoski, 2017 .

Circadian Cycles and Work Under Pressure: A Stochastic Process Model for E-learning Population Dynamics

Rafet Sifa, César Ojeda, Christian Backhage, 2017 .