How players lose interest in playing a game: An empirical study based on distributions of total playing times. - Christian Bauckhage; Kristian Kersting; Rafet Sifa; Christian Thurau; Anders Drachen; Alessandro Canossa (CIG, 2012)

Guns, swords and data: Clustering of player behavior in computer games in the wild. - Anders Drachen; Rafet Sifa; Christian Bauckhage; Christian Thurau (CIG, 2012)

Archetypical motion: Supervised game behavior learning with Archetypal Analysis. - Rafet Sifa; Christian Bauckhage (CIG, 2013)

Behavior evolution in Tomb Raider Underworld. - Rafet Sifa; Anders Drachen; Christian Bauckhage; Christian Thurau; Alessandro Canossa (CIG, 2013)

A comparison of methods for player clustering via behavioral telemetry. - Anders Drachen; Christian Thurau; Rafet Sifa; Christian Bauckhage (FDG, 2013)

Beyond heatmaps: Spatio-temporal clustering using behavior-based partitioning of game levels. - Christian Bauckhage; Rafet Sifa; Anders Drachen; Christian Thurau; Fabian Hadiji (CIG, 2014)

Predicting player churn in the wild. - Fabian Hadiji; Rafet Sifa; Anders Drachen; Christian Thurau; Kristian Kersting; Christian Bauckhage (CIG, 2014)

The Playtime Principle: Large-scale cross-games interest modeling. - Rafet Sifa; Christian Bauckhage; Anders Drachen (CIG, 2014)

Archetypal Game Recommender Systems. - Rafet Sifa; Christian Bauckhage; Anders Drachen (LWA, 2014)

The name in the game: Patterns in character names and gamer tags. - Anders Drachen; Rafet Sifa; Christian Thurau (Entertain. Comput., 2014)

Large-Scale Cross-Game Player Behavior Analysis on Steam. - Rafet Sifa; Anders Drachen; Christian Bauckhage (AIIDE, 2015)

Predicting Purchase Decisions in Mobile Free-to-Play Games. - Rafet Sifa; Fabian Hadiji; Julian Runge; Anders Drachen; Kristian Kersting; Christian Bauckhage (AIIDE, 2015)

k-Maxoids Clustering. - Christian Bauckhage; Rafet Sifa (LWA, 2015)

User Churn Migration Analysis with DEDICOM. - Rafet Sifa; César Ojeda; Christian Bauckhage (RecSys, 2015)

Clustering Game Behavior Data. - Christian Bauckhage; Anders Drachen; Rafet Sifa (IEEE Trans. Comput. Intell. AI Games, 2015)

Rapid Prediction of Player Retention in Free-to-Play Mobile Games. - Anders Drachen; Eric Thurston Lundquist; Yungjen Kung; Pranav Simha Rao; Rafet Sifa; Julian Runge; Diego Klabjan (AIIDE, 2016)

Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny. - Anders Drachen; James Green; Chester Gray; Elie Harik; Patty Lu; Rafet Sifa; Diego Klabjan (CIG, 2016)

Stylized facts for mobile game analytics. - Anders Drachen; Nicholas Ross; Julian Runge; Rafet Sifa (CIG, 2016)

Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning. - Rafet Sifa; Sridev Srikanth; Anders Drachen; César Ojeda; Christian Bauckhage (CIG, 2016)

Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game. - Marco Tamassia; William L. Raffe; Rafet Sifa; Anders Drachen; Fabio Zambetta; Michael Hitchens (CIG, 2016)

How Playstyles Evolve: Progression Analysis and Profiling in Just Cause 2. - Johanna Pirker; Simone Griesmayr; Anders Drachen; Rafet Sifa (ICEC, 2016)

Integrating and Inspecting Combined Behavioral Profiling and Social Network Models in Destiny. - André Rattinger; Günter Wallner; Anders Drachen; Johanna Pirker; Rafet Sifa (ICEC, 2016)

Variable Attention and Variable Noise: Forecasting User Activity. - César Ojeda; Kostadin Cvejoski; Rafet Sifa; Christian Bauckhage (LWDA, 2016)

Predicting Victory in a Hybrid Online Competitive Game: The Case of Destiny. - Yaser Norouzzadeh Ravari; Pieter Spronck; Rafet Sifa; Anders Drachen (AIIDE, 2017)

Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny". - Mike Schaekermann; Giovanni Ribeiro; Guenter Wallner; Simone Kriglstein; Daniel M. Johnson 001; Anders Drachen; Rafet Sifa; Lennart E. Nacke (CHI PLAY, 2017)

Exploration and Skill Acquisition in a Major Online Game. - Tom Stafford 002; Sam Devlin; Rafet Sifa; Anders Drachen (CogSci, 2017)

Online k-Maxoids Clustering. - Rafet Sifa; Christian Bauckhage (DSAA, 2017)

Ising Models for Binary Clustering via Adiabatic Quantum Computing. - Christian Bauckhage; Eduardo Brito; Kostadin Cvejoski; César Ojeda; Rafet Sifa; Stefan Wrobel (EMMCVPR, 2017)

Inverse Dynamical Inheritance in Stack Exchange Taxonomies. - César Ojeda; Kostadin Cvejoski; Rafet Sifa; Christian Bauckhage (ICWSM, 2017)

KPCA Embeddings: An Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences. - Eduardo Brito; Rafet Sifa; Christian Bauckhage (LWDA, 2017)

Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM. - Rafet Sifa; César Ojeda; Kostadin Cvejoski; Christian Bauckhage (LWDA, 2017)

To be or not to be...social: incorporating simple social features in mobile game customer lifetime value predictions. - Anders Drachen; Mari Pastor; Aron Liu; Dylan Jack Fontaine; Yuan Chang; Julian Runge; Rafet Sifa; Diego Klabjan (ACSW, 2018)

Controlling the crucible: a novel PvP recommender systems framework for destiny. - Rafet Sifa; Eric Pawlakos; Kevin Zhai; Sai Haran; Rohan Jha; Diego Klabjan; Anders Drachen (ACSW, 2018)

Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation. - Rafet Sifa; Raheel Yawar; Rajkumar Ramamurthy; Christian Bauckhage (AIIDE, 2018)

What Moves Players?: Visual Data Exploration of Twitter and Gameplay Data. - Christian Drescher; Guenter Wallner; Simone Kriglstein; Rafet Sifa; Anders Drachen; Margit Pohl (CHI, 2018)

Customer Lifetime Value Prediction in Non-Contractual Freemium Settings: Chasing High-Value Users Using Deep Neural Networks and SMOTE. - Rafet Sifa; Julian Runge; Christian Bauckhage; Daniel Klapper (HICSS, 2018)

Policy Learning Using SPSA. - Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa; Stefan Wrobel (ICANN (3), 2018)

An Overview of Frank-Wolfe Optimization for Stochasticity Constrained Interpretable Matrix and Tensor Factorization. - Rafet Sifa (ICANN (2), 2018)

Simple Recurrent Neural Networks for Support Vector Machine Training. - Rafet Sifa; Daniel Paurat; Daniel Trabold; Christian Bauckhage (ICANN (3), 2018)

Informed Machine Learning Through Functional Composition. - Christian Bauckhage; César Ojeda; Jannis Schücker; Rafet Sifa; Stefan Wrobel (LWDA, 2018)

Adiabatic Quantum Computing for Kernel k=2 Means Clustering. - Christian Bauckhage; César Ojeda; Rafet Sifa; Stefan Wrobel (LWDA, 2018)

Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play. - Ryan Perry; Anders Drachen; Allison Kearney; Simone Kriglstein; Lennart E. Nacke; Rafet Sifa; Guenter Wallner; Daniel M. Johnson 001 (Comput. Hum. Behav., 2018)

Analyzing player networks in Destiny. - Johanna Pirker; André Rattinger; Anders Drachen; Rafet Sifa (Entertain. Comput., 2018)

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. - Rishabh Joshi; Varun Gupta 004; Xinyue Li; Yue Cui; Ziwen Wang; Yaser Norouzzadeh Ravari; Diego Klabjan; Rafet Sifa; Azita Parsaeian; Anders Drachen; Simon Demediuk (ACSW, 2019)

Two Attempts to Predict Author Gender in Cross-Genre Settings in Dutch. - Eduardo Brito; Rafet Sifa; Christian Bauckhage (GxG@CLIN, 2019)

A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking. - Eduardo Brito; Rafet Sifa; Christian Bauckhage; Rüdiger Loitz; Uwe Lohmeier; Christin Pünt (DocEng, 2019)

Towards Automated Auditing with Machine Learning. - 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; et al. (DocEng, 2019)

Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls. - Christian Bauckhage; Rafet Sifa (DSAA, 2019)

The trails of Just Cause 2: spatio-temporal player profiling in open-world games. - Myat Aung; Simon Demediuk; Yuan Sun; Ye Tu; Yu Ang; Siva Nekkanti; Shantanu Raghav; Diego Klabjan; Rafet Sifa; Anders Drachen (FDG, 2019)

Prototypes Within Minimum Enclosing Balls. - Christian Bauckhage; Rafet Sifa; Tiansi Dong (ICANN (Workshop), 2019)

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. - Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa; Jannis Schücker; Stefan Wrobel (ICANN (2), 2019)

Echo State Networks for Named Entity Recognition. - Rajkumar Ramamurthy; Robin Stenzel; Rafet Sifa; Anna Ladi; Christian Bauckhage (ICANN (Workshop), 2019)

Patterns and Outliers in Temporal Point Processes. - César Ali Marin Ojeda; Kostadin Cvejoski; Rafet Sifa; Jannis Schücker; Christian Bauckhage (IntelliSys (1), 2019)

A Community Detection Based Approach for Exploring Patterns in Player Reviews. - Maren Pielka; Rafet Sifa; Rajkumar Ramamurthy; César Ojeda; Christian Bauckhage (IntelliSys (1), 2019)

A QUBO Formulation of the k-Medoids Problem. - Christian Bauckhage; Nico Piatkowski; Rafet Sifa; Dirk Hecker; Stefan Wrobel (LWDA, 2019)

Max-Sum Dispersion via Quantum Annealing. - Christian Bauckhage; Rafet Sifa; Dirk Hecker; Stefan Wrobel (LWDA, 2019)

Towards Contradiction Detection in German: a Translation-Driven Approach. - Rafet Sifa; Maren Pielka; Rajkumar Ramamurthy; Anna Ladi; Lars Patrick Hillebrand; Christian Bauckhage (SSCI, 2019)

Beyond the individual: Understanding social structures of an online player matchmaking website. - Günter Wallner; Christopher Schinnerl; Michael Helfried Schiller; Alexander Monte Calvo; Johanna Pirker; Rafet Sifa; Anders Drachen (Entertain. Comput., 2019)

Inside the Group: Investigating Social Structures in Player Groups and Their Influence on Activity. - Michael Helfried Schiller; Günter Wallner; Christopher Schinnerl; Alexander Monte Calvo; Johanna Pirker; Rafet Sifa; Anders Drachen (IEEE Trans. Games, 2019)

A machine learning perspective on unraveling, modeling and predicting player behavior in digital games. - Rafet Sifa (2019)

A Clustering Backed Deep Learning Approach for Document Layout Analysis. - Rhys Agombar; Max Lübbering; Rafet Sifa (CD-MAKE, 2020)

Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. - Lars Patrick Hillebrand; David Biesner; Christian Bauckhage; Rafet Sifa (CD-MAKE, 2020)

Shells within Minimum Enclosing Balls. - Christian Bauckhage; Michael Bortz; Rafet Sifa (DSAA, 2020)

Adapting Established Text Representations for Predicting Review Sentiment in Turkish. - Izel Çavusoglu; Maren Pielka; Rafet Sifa (DSAA, 2020)

Towards An Empirical and Theoretical Evaluation of Gradient Based Approaches for finding Kernel Minimum Enclosing Balls. - Hanna Kondratiuk; Rafet Sifa (DSAA, 2020)

Hopfield Networks for Vector Quantization. - Christian Bauckhage; Rajkumar Ramamurthy; Rafet Sifa (ICANN (2), 2020)

From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. - Max Lübbering; Rajkumar Ramamurthy; Michael Gebauer; Thiago Bell; Rafet Sifa; Christian Bauckhage (ICANN (1), 2020)

Guided Reinforcement Learning via Sequence Learning. - Rajkumar Ramamurthy; Rafet Sifa; Max Lübbering; Christian Bauckhage (ICANN (2), 2020)

Supervised Autoencoder Variants for End to End Anomaly Detection. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Rafet Sifa; Christian Bauckhage (ICPR Workshops (2), 2020)

Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. - Maren Pielka; Rafet Sifa; Lars Patrick Hillebrand; David Biesner; Rajkumar Ramamurthy; Anna Ladi; Christian Bauckhage (ICPR, 2020)

Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. - Laura von Rüden; Sebastian Mayer; Rafet Sifa; Christian Bauckhage; Jochen Garcke (IDA, 2020)

Problem Solving with Hopfield Networks and Adiabatic Quantum Computing. - Christian Bauckhage; Ramsés J. Sánchez; Rafet Sifa (IJCNN, 2020)

Novelty-Guided Reinforcement Learning via Encoded Behaviors. - Rajkumar Ramamurthy; Rafet Sifa; Max Lübbering; Christian Bauckhage (IJCNN, 2020)

tanh Neurons Are Bayesian Decision Makers. - Christian Bauckhage; Rafet Sifa; Dirk Hecker (IntelliSys (3), 2020)

DESICOM as Metaheuristic Search. - Rafet Sifa (LION, 2020)

Novelty Discovery with Kernel Minimum Enclosing Balls. - Rafet Sifa; Christian Bauckhage (LION, 2020)

Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. - Rafet Sifa; Michael Fedell; Nathan Franklin; Diego Klabjan; Shiva Ram; Arpan Venugopal; Simon Demediuk; Anders Drachen (SAI (1), 2020)

Adiabatic Quantum Computing for Max-Sum Diversification. - Christian Bauckhage; Rafet Sifa; Stefan Wrobel (SDM, 2020)

Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3. - David Biesner; Eduardo Brito; Lars Patrick Hillebrand; Rafet Sifa (SwissText/KONVENS, 2020)

NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks. - Rajkumar Ramamurthy; Rafet Sifa; Christian Bauckhage (CoRR, 2020)

Generative Deep Learning Techniques for Password Generation. - David Biesner; Kostadin Cvejoski; Bogdan Georgiev; Rafet Sifa; Erik Krupicka (CoRR, 2020)

Matrix- and Tensor Factorization for Game Content Recommendation. - Rafet Sifa; Raheel Yawar; Rajkumar Ramamurthy; Christian Bauckhage; Kristian Kersting (Künstliche Intell., 2020)

Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. - Rafet Sifa; Anders Drachen; Florian Block; Spencer Moon; Anisha Dubhashi; Hao Xiao; Zili Li 008; Diego Klabjan; Simon Demediuk (ACSW, 2021)

Swords, Data and Balls: Extracting Extreme Behavioural Prototypes with Kernel Minimum Enclosing Balls. - Hanna Kondratiuk; Rafet Sifa (CoG, 2021)

Predicting Player Churn with Echo State Networks. - Rafet Sifa (CoG, 2021)

ALiBERT: improved automated list inspection (ALI) with BERT. - Rajkumar Ramamurthy; Maren Pielka; Robin Stenzel; Christian Bauckhage; Rafet Sifa; Tim Dilmaghani Khameneh; Ulrich Warning; Bernd Kliem; Rüdiger Loitz (DocEng, 2021)

Decoupling Autoencoders for Robust One-vs-Rest Classification. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (DSAA, 2021)

Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. - Max Lübbering; Maren Pielka; Kajaree Das; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (ESANN, 2021)

Advances in Password Recovery Using Generative Deep Learning Techniques. - David Biesner; Kostadin Cvejoski; Bogdan Georgiev; Rafet Sifa; Erik Krupicka (ICANN (3), 2021)

Knowledge Graph Based Question Answering System for Financial Securities. - Marius Bulla; Lars Patrick Hillebrand; Max Lübbering; Rafet Sifa (KI, 2021)

An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks. - Rhys Agombar; Christian Bauckhage; Max Lübbering; Rafet Sifa (LION, 2021)

Towards Structural Hyperparameter Search in Kernel Minimum Enclosing Balls. - Hanna Kondratiuk; Rafet Sifa (LION, 2021)

Utilizing Representation Learning for Robust Text Classification Under Datasetshift. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Maren Pielka; Christian Bauckhage; Rafet Sifa (LWDA, 2021)

Detecting Contradictions in German Text: A Comparative Study. - Lisa Pucknat; Maren Pielka; Rafet Sifa (SSCI, 2021)

Automatic Indexing of Financial Documents via Information Extraction. - Rajkumar Ramamurthy; Max Lübbering; Thiago Bell; Michael Gebauer; Bilge Ulusay; Daniel Uedelhoven; Tim Dilmaghani Khameneh; Rüdiger Loitz; Maren Pielka; Christian Bauckhage; Rafet Sifa (SSCI, 2021)

DIBERT: Dependency Injected Bidirectional Encoder Representations from Transformers. - Abdul Wahab; Rafet Sifa (SSCI, 2021)

Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization With Evolutionary Algorithms. - Maurice Günder; Nico Piatkowski; Laura von Rüden; Rafet Sifa; Christian Bauckhage (IEEE Access, 2021)

Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention. - Maurice Günder; Nico Piatkowski; Laura von Rüden; Rafet Sifa; Christian Bauckhage (CoRR, 2021)

Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. - Lars Patrick Hillebrand; David Biesner; Christian Bauckhage; Rafet Sifa (Mach. Learn. Knowl. Extr., 2021)

Combining Variational Autoencoders and Transformer Language Models for Improved Password Generation. - David Biesner; Kostadin Cvejoski; Rafet Sifa (ARES, 2022)

Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games. - Xin Qian; Rafet Sifa; Xuefei Liu; Shreyashi Ganguly; Borchuluun Yadamsuren; Diego Klabjan; Anders Drachen; Simon Demediuk (ACSW, 2022)

Towards automating Numerical Consistency Checks in Financial Reports. - Lars Patrick Hillebrand; Tobias Deußer; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2022)

Towards Generating Financial Reports from Tabular Data Using Transformers. - Clayton Leroy Chapman; Lars Patrick Hillebrand; Marc Robin Stenzel; Tobias Deußer; David Biesner; Christian Bauckhage; Rafet Sifa (CD-MAKE, 2022)

DOTA 2 match prediction through deep learning team fight models. - Cheng Hao Ke; Haozhang Deng; Congda Xu; Jiong Li; Xingyun Gu; Borchuluun Yadamsuren; Diego Klabjan; Rafet Sifa; Anders Drachen; Simon Demediuk (CoG, 2022)

Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation. - Helen Schneider; David Biesner; Sebastian Nowak 003; Yannik C. Layer; Maike Theis; Wolfgang Block; Benjamin Wulff; Alois M. Sprinkart; Ulrike I. Attenberger; Rafet Sifa (ESANN, 2022)

Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning. - Nico Piatkowski; Thore Gerlach; Romain Hugues; Rafet Sifa; Christian Bauckhage; Frédéric Barbaresco (FUSION, 2022)

From Open Set Recognition Towards Robust Multi-class Classification. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (ICANN (3), 2022)

Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces. - Max Lübbering; Maren Pielka; Ilhamcengiz Henk; Rafet Sifa (ICDE Workshops, 2022)

Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis. - David Biesner; Thore Gerlach; Christian Bauckhage; Bernd Kliem; Rafet Sifa (ICMLA, 2022)

Zero-Shot Text Matching for Automated Auditing using Sentence Transformers. - David Biesner; Maren Pielka; Rajkumar Ramamurthy; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Rafet Sifa (ICMLA, 2022)

Improving Chest X-Ray Classification by RNN-based Patient Monitoring. - David Biesner; Helen Schneider; Benjamin Wulff; Ulrike I. Attenberger; Rafet Sifa (ICMLA, 2022)

KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. - Tobias Deußer; Syed Musharraf Ali; Lars Patrick Hillebrand; Desiana Nurchalifah; Basil Jacob; Christian Bauckhage; Rafet Sifa (ICMLA, 2022)

A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives. - Maren Pielka; Felix Rode; Lisa Pucknat; Tobias Deußer; Rafet Sifa (ICMLA, 2022)

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. - Lars Patrick Hillebrand; Tobias Deußer; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (ICPR, 2022)

Towards Informed Pre-Training for Critical Error Detection in English-German. - Lisa Pucknat; Maren Pielka; Rafet Sifa (LWDA, 2022)

Matching Experts to Questions: A Comparison of Recommender Systems. - Robin Stenzel; Max Lübbering; Bilge Ulusay; Daniel Uedelhoven; Rafet Sifa (LWDA, 2022)

Investigating The Scalability of Kernel Minimum Enclosing Balls for Novelty Detection: Algorithms with Empirical Evaluations. - Hanna Kondratiuk; Rafet Sifa (SSCI, 2022)

Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays. - Helen Schneider; Max Lübbering; Rebecca Kador; Maximilian Broß; Priya Priya; David Biesner; Benjamin Wulff; Thiago Bell Felix de Oliveira; Yannik C. Layer; Ulrike I. Attenberger; Rafet Sifa (SSCI, 2022)

Gradient Flows for L2 Support Vector Machine Training. - Christian Bauckhage; Helen Schneider; Benjamin Wulff; Rafet Sifa (CoRR, 2022)

Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference. - Maren Pielka; Svetlana Schmidt; Lisa Pucknat; Rafet Sifa (CoRR, 2022)

Anonymization of German financial documents using neural network-based language models with contextual word representations. - David Biesner; Rajkumar Ramamurthy; Robin Stenzel; Max Lübbering; Lars Patrick Hillebrand; Anna Ladi; Maren Pielka; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (Int. J. Data Sci. Anal., 2022)

Bounding open space risk with decoupling autoencoders in open set recognition. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (Int. J. Data Sci. Anal., 2022)

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. - Armin Berger; Lars Hillebrand; David Leonhard; Tobias Deußer; Thiago Bell Felix de Oliveira; Tim Dilmaghani Khameneh; Mohamed Khaled; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2023)

Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. - Tobias Deußer; David Leonhard; Lars Hillebrand; Armin Berger; Mohamed Khaled; Sarah Heiden; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2023)

Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models. - Rebecca Kador; Helen Schneider; David Biesner; Babette Dellen; Rafet Sifa (IEEE Big Data, 2023)

Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules. - Maren Pielka; Svetlana Schmidt; Rafet Sifa (IEEE Big Data, 2023)

Is one label all you need? Single positive multi-label training in medical image analysis. - Helen Schneider; Priya Priya; David Biesner; Rebecca Kador; Yannik C. Layer; Maike Theis; Sebastian Nowak 003; Alois M. Sprinkart; Ulrike I. Attenberger; Rafet Sifa (IEEE Big Data, 2023)

Towards Retention Analysis in NFT-based Blockchain Games. - Rafet Sifa; Fabian Hadiji (IEEE Big Data, 2023)

A Comparative Analysis of Data Augmentation Approaches for Improved Minority Behavior Detection in Digital Games. - Rafet Sifa; Edwin Yang (IEEE Big Data, 2023)

Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. - Lars Hillebrand; Armin Berger; Tobias Deußer; Tim Dilmaghani Khameneh; Mohamed Khaled; Bernd Kliem; Rüdiger Loitz; Maren Pielka; David Leonhard; Christian Bauckhage; Rafet Sifa (DocEng, 2023)

Towards Linguistically Informed Multi-objective Transformer Pre-training for Natural Language Inference. - Maren Pielka; Svetlana Schmidt; Lisa Pucknat; Rafet Sifa (ECIR (2), 2023)

Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements. - Helen Schneider; David Biesner; Akash Ashokan; Maximilian Broß; Rebecca Kador; Sandra Halscheidt; Gabor Bagyo; Peter Dankerl; Haissam Ragab; Jin Yamamura; Christoph Labisch; Rafet Sifa (ESANN, 2023)

sustain.AI: a Recommender System to analyze Sustainability Reports. - Lars Hillebrand; Maren Pielka; David Leonhard; Tobias Deußer; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Milad Morad; Christian Temath; Thiago Bell; Robin Stenzel; Rafet Sifa (ICAIL, 2023)

Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis. - Helen Schneider; Elif Cansu Yildiz; David Biesner; Yannik C. Layer; Benjamin Wulff; Sebastian Nowak 003; Maike Theis; Alois M. Sprinkart; Ulrike I. Attenberger; Rafet Sifa (ICANN (4), 2023)

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. - Rajkumar Ramamurthy; Prithviraj Ammanabrolu; Kianté Brantley; Jack Hessel; Rafet Sifa; Christian Bauckhage; Hannaneh Hajishirzi; Yejin Choi 001 (ICLR, 2023)

Controlled Randomness Improves the Performance of Transformer Models. - Tobias Deußer; Cong Zhao; Wolfgang Krämer; David Leonhard; Christian Bauckhage; Rafet Sifa (ICMLA, 2023)

Automatic Consistency Checking of Table and Text in Financial Documents. - Syed Musharraf Ali; Tobias Deußer; Sebastian Houben; Lars Patrick Hillebrand; Tim Metzler; Rafet Sifa (NLDL, 2023)

Contradiction Detection in Financial Reports. - Tobias Deußer; Maren Pielka; Lisa Pucknat; Basil Jacob; Tim Dilmaghani Khameneh; Mahdis Nourimand; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (NLDL, 2023)

Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training. - Mohammad Majd Saad Al Deen; Maren Pielka; Jörn Hees; Bouthaina Soulef Abdou; Rafet Sifa (SSCI, 2023)

Word Sense Disambiguation as a Game of Neurosymbolic Darts. - Tiansi Dong; Rafet Sifa (CoRR, 2023)

SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet. - Maurice Günder; Facundo Ramón Ispizua Yamati; Abel Andree Barreto Alcántara; Anne-Katrin Mahlein; Rafet Sifa; Christian Bauckhage (CoRR, 2023)

Model-agnostic Body Part Relevance Assessment for Pedestrian Detection. - Maurice Günder; Sneha Banerjee; Rafet Sifa; Christian Bauckhage (CoRR, 2023)

Fine-Tuning Large Language Models for Compliance Checks. - Thiago Bell; David Leonhard; Ali Hamza Bashir; Tim Dilmaghani Khameneh; Mohamed Khaled; Ulrich Warning; Rüdiger Loitz; Sandra Halscheidt; Jana Birr; Armin Berger; Rafet Sifa; David Berghaus (IEEE Big Data, 2024)

Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching. - Armin Berger; David Berghaus; Ali Hamza Bashir; Lorenz Grigull; Lara Fendrich; Tom Anglim Lagones; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Tobias Deußer; Thiago Bell; et al. (IEEE Big Data, 2024)

Optimizing Rare Disease Patient Matching with Large Language Models. - Armin Berger; Ali Hamza Bashir; David Berghaus; Mowmita; Nazia Afsan; Lorenz Grigull; Lara Fendrich; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Tom Anglim Lagones; et al. (IEEE Big Data, 2024)

Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning. - Armin Berger; Tom Anglim Lagones; Lorenz Grigull; Lara Fendrich; Thiago Bell; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Rafet Sifa; Max Lübbering (IEEE Big Data, 2024)

Informed Named Entity Recognition Decoding for Generative Language Models. - Tobias Deußer; Lars Hillebrand; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2024)

Fusing Speech and Language Models for Dementia Detection. - Tobias Deußer; Abdul Mohsin Siddiqi; Lorenz Sparrenberg; Tobias Adams; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2024)

A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain. - Tobias Deußer; Cong Zhao; Lorenz Sparrenberg; Daniel Uedelhoven; Armin Berger; Maren Pielka; Lars Hillebrand; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2024)

Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports. - Tobias Deußer; Cong Zhao; Daniel Uedelhoven; Lorenz Sparrenberg; Lars Hillebrand; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2024)

Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking. - Maurice Günder; Sneha Banerjee; Rafet Sifa; Christian Bauckhage (IEEE Big Data, 2024)

Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. - Lars Hillebrand; Armin Berger; Daniel Uedelhoven; David Berghaus; Ulrich Warning; Tim Dilmaghani Khameneh; Bernd Kliem; Thomas Schmid; Rüdiger Loitz; Rafet Sifa (IEEE Big Data, 2024)

Insights About Causality Detection in Financial Text - Towards an Informed Approach. - Maren Pielka; Rafet Sifa (IEEE Big Data, 2024)

[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI. - Maren Pielka; Tobias Schneider; Jan Terheyden; Rafet Sifa (IEEE Big Data, 2024)

Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality Traits. - Lorenz Sparrenberg; Tobias Schneider; Tobias Deußer; Markus Koppenborg; Rafet Sifa (IEEE Big Data, 2024)

Table Structure Recognition via Encoder/Decoder Vision Transformers. - Daniel Uedelhoven; Max Lübbering; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2024)

Tokenizer Choice For LLM Training: Negligible or Crucial? - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Richard Rutmann; Max Lübbering; Johannes Leveling; Katrin Klug; Jan Ebert; Niclas Doll; Jasper Schulze Buschhoff; Charvi Jain; Alexander Arno Weber; et al. (NAACL-HLT (Findings), 2024)

Pointer-Guided Pre-training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. - Lars Hillebrand; Prabhupad Pradhan; Christian Bauckhage; Rafet Sifa (ECML/PKDD (4), 2024)

Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Jan Ebert; Alexander Arno Weber; Richard Rutmann; Charvi Jain; Max Lübbering; Daniel Steinigen; Johannes Leveling; Katrin Klug; Jasper Schulze Buschhoff; et al. (CoRR, 2024)

Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems. - Helen Schneider; Sebastian Nowak 003; Aditya Parikh; Yannik C. Layer; Maike Theis; Wolfgang Block; Alois M. Sprinkart; Ulrike I. Attenberger; Rafet Sifa (CoRR, 2024)

Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025. - Kang Liu 001; Yangqiu Song; Zhen Han; Rafet Sifa; Shizhu He; Yunfei Long (COLING Workshops, 2025)

MultiProp Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning. - Farizeh Aldabbas; Shaina Ashraf; Rafet Sifa; Lucie Flek (COLING Workshops, 2025)

Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models. - Tobias Deußer; Max Hahnbück; Tobias Uelwer; Cong Zhao; Christian Bauckhage; Rafet Sifa (COLING (Industry), 2025)

Bridging Language and Scenes through Explicit 3-D Model Construction. - Tiansi Dong; Writwick Das; Rafet Sifa (COLING Workshops, 2025)

Improving Language Model Performance by Training on Prototypical Contradictions. - Maren Pielka; Marie-Christin Freischlad; Svetlana Schmidt; Rafet Sifa (ECIR (3), 2025)

Architectural Proposal for Reproducible, Standardized Deep Learning Research. - Max Lübbering; Vijul Shah; Moinam Chatterjee; Priya Priya; Osama Soliman; Rafet Sifa (ICSA Companion, 2025)

ArDia: Improving Arabic Dialectal Language Classification Using a Novel Dataset. - Hossam Elsafty; Bouthaina Abdou; Tobias Deußer; Maren Pielka; Christian Bauckhage; Rafet Sifa (ICWSM, 2025)

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. - Mehdi Ali; Manuel Brack; Max Lübbering; Elias Wendt; Abbas Goher Khan; Richard Rutmann; Alex Jude; Maurice Kraus; Alexander Arno Weber; David Kaczér; Florian Mai; Lucie Flek; et al. (CoRR, 2025)

Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention. - Sarthak Khanna; Armin Berger; David Berghaus; Tobias Deußer; Lorenz Sparrenberg; Rafet Sifa (CoRR, 2025)