Comparing and Evaluating Interest Points. - Cordelia Schmid; Roger Mohr; Christian Bauckhage (ICCV, 1998)

Erkennung von Aggregaten aus Struktur und Handlung. - Christian Bauckhage; Jannik Fritsch; Gerhard Sagerer (Künstliche Intell., 1999)

Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects. - Gerhard Sagerer; Christian Bauckhage; Elke Braun; Jannik Fritsch; Franz Kummert; Frank Lömker; Sven Wachsmuth (Sensor Based Intelligent Robots, 2000)

Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies. - Christian Bauckhage; Susanne Kronenberg; Franz Kummert; Gerhard Sagerer (SSPR/SPR, 2000)

Evaluation of Interest Point Detectors. - Cordelia Schmid; Roger Mohr; Christian Bauckhage (Int. J. Comput. Vis., 2000)

An integrated system for cooperative man-machine interaction. - Christian Bauckhage; Gernot A. Fink; Jannik Fritsch; Franz Kummert; Frank Lömker; Gerhard Sagerer; Sven Wachsmuth (CIRA, 2001)

Memorizing Visual Knowledge for Assembly Process Monitoring. - Christian Bauckhage; Jannik Fritsch; Gerhard Sagerer (DAGM-Symposium, 2001)

Integrating Recognition Paradigms in a Multiple-Path Architecture. - Gerhard Sagerer; Christian Bauckhage; Elke Braun; Gunther Heidemann; Franz Kummert; Helge J. Ritter; Daniel Schlüter (ICAPR, 2001)

Evaluating Integrated Speech- and Image Understanding. - Christian Bauckhage; Jannik Fritsch; Katharina J. Rohlfing; Sven Wachsmuth; Gerhard Sagerer (ICMI, 2002)

A structural framework for assembly modeling and recognition - Christian Bauckhage (2002)

A Structural Framework for Assembly Modeling and Recognition. - Christian Bauckhage; Franz Kummert; Gerhard Sagerer (CAIP, 2003)

Learning Human-Like Opponent Behavior for Interactive Computer Games. - Christian Bauckhage; Christian Thurau; Gerhard Sagerer (DAGM-Symposium, 2003)

Combining Self Organizing Maps and Multilayer Perceptrons to Learn Bot-Behaviour for a Commercial Game. - Christian Thurau; Christian Bauckhage; Gerhard Sagerer (GAME-ON, 2003)

Combining speech and haptics for intuitive and efficient navigation through image databases. - Thomas Käster; Michael Pfeiffer 003; Christian Bauckhage (ICMI, 2003)

A Cognitive Vision System for Action Recognition in Office Environments. - Christian Bauckhage; Marc Hanheide; Sebastian Wrede 001; Gerhard Sagerer (CVPR (2), 2004)

Mosaics from Arbitrary Stereo Video Sequences. - Nicolas Gorges; Marc Hanheide; William J. Christmas; Christian Bauckhage; Gerhard Sagerer; Josef Kittler (DAGM-Symposium, 2004)

Synthesizing Movements for Computer Game Characters. - Christian Thurau; Christian Bauckhage; Gerhard Sagerer (DAGM-Symposium, 2004)

Memory Consistency Validation in a Cognitive Vision System. - Marc Hanheide; Christian Bauckhage; Gerhard Sagerer (ICPR (2), 2004)

Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study. - Sebastian Wrede 001; Christian Bauckhage; Gerhard Sagerer; Wolfgang Ponweiser; Markus Vincze (ICPR (1), 2004)

An XML Based Framework for Cognitive Vision Architectures. - Sebastian Wrede 001; Jannik Fritsch; Christian Bauckhage; Gerhard Sagerer (ICPR (1), 2004)

From Image Features To Symbols And Vice Versa - Using Graphs To Loop Data- And Model-Driven Processing In Visual Assembly Recognition. - Christian Bauckhage; Elke Braun; Gerhard Sagerer (Int. J. Pattern Recognit. Artif. Intell., 2004)

Intelligent Navigation in Image Databases. - Thomas Käster; Michael Pfeiffer 003; Christian Bauckhage; Gerhard Sagerer (Künstliche Intell., 2004)

Towards manifold learning for gamebot behavior modeling. - Christian Thurau; Christian Bauckhage (Advances in Computer Entertainment Technology, 2005)

Separable Linear Classifiers for Online Learning in Appearance Based Object Detection. - Christian Bauckhage; John K. Tsotsos (CAIP, 2005)

Detecting Abnormal Gait. - Christian Bauckhage; John K. Tsotsos; Frank E. Bunn (CRV, 2005)

Face Recognition with Weighted Locally Linear Embedding. - Nathan Mekuz; Christian Bauckhage; John K. Tsotsos (CRV, 2005)

Separable Linear Discriminant Classification. - Christian Bauckhage; John K. Tsotsos (DAGM-Symposium, 2005)

Image Space I3 and Eigen Curvature for Illumination Insensitive Face Detection. - Christian Bauckhage; John K. Tsotsos (ICIAR, 2005)

Bounding box splitting for robust shape classification. - Christian Bauckhage; John K. Tsotsos (ICIP (2), 2005)

Combining environmental cues & head gestures to interact with wearable devices. - Marc Hanheide; Christian Bauckhage; Gerhard Sagerer (ICMI, 2005)

Vision Systems with the Human in the Loop. - Christian Bauckhage; Marc Hanheide; Sebastian Wrede 001; Thomas Käster; Michael Pfeiffer 003; Gerhard Sagerer (EURASIP J. Adv. Signal Process., 2005)

Applying Ensembles of Multilinear Classifiers in the Frequency Domain. - Christian Bauckhage; Thomas Käster; John K. Tsotsos (CVPR (1), 2006)

Fast Learning for Customizable Head Pose Recognition in Robotic Wheelchair Control. - Christian Bauckhage; Thomas Käster; Andrei M. Rotenstein (FGR, 2006)

Tree-Based Signatures for Shape Classification. - Christian Bauckhage (ICIP, 2006)

Usability Evaluation for Image Retrieval Beyond Desktop Applications. - Thomas Käster; Michael Pfeiffer 003; Christian Bauckhage (ICME, 2006)

Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features. - Christian Bauckhage; Thomas Käster (ICPR (1), 2006)

Benefits of Separable, Multilinear Discriminant Classification. - Christian Bauckhage; Thomas Käster (ICPR (3), 2006)

Bayesian Imitation of Human Behavior in Interactive Computer Games. - Bernard Gorman; Christian Thurau; Christian Bauckhage; Mark Humphrys (ICPR (1), 2006)

Classification of Team Behaviors in Sports Video Games. - Christian Thurau; Thomas Hettenhausen; Christian Bauckhage (ICPR (1), 2006)

Believability Testing and Bayesian Imitation in Interactive Computer Games. - Bernard Gorman; Christian Thurau; Christian Bauckhage; Mark Humphrys (SAB, 2006)

Distance-Free Image Retrieval Based on Stochastic Diffusion over Bipartite Graphs. - Christian Bauckhage (BMVC, 2007)

Extracting Salient Points and Parts of Shapes Using Modified k d-Trees. - Christian Bauckhage (CAIP, 2007)

Towards 3D Internet: Why, What, and How? - Tansu Alpcan; Christian Bauckhage; Evangelos Kotsovinos (CW, 2007)

An Efficient Ontology-Based Expert Peering System. - Tansu Alpcan; Christian Bauckhage; Sachin Agarwal 001 (GbRPR, 2007)

Robust Tensor Classifiers for Color Object Recognition. - Christian Bauckhage (ICIAR, 2007)

Tensor-Based Filter Design using Kernel Ridge Regression. - Christian Bauckhage (ICIP (4), 2007)

A Fast, Feature-based Cluster Algorithm for Information Retrieval. - Martin Mehlitz; Christian Bauckhage; Sahin Albayrak (IRI, 2007)

The "Spree" Expert Finding System. - Florian Metze; Christian Bauckhage; Tansu Alpcan (ICSC, 2007)

An intelligent knowledge sharing system for web communities. - Christian Bauckhage; Tansu Alpcan; Sachin Agarwal 001; Florian Metze; Robert Wetzker; Milena Ilic; Sahin Albayrak (SMC, 2007)

A new evaluation measure for information retrieval systems. - Martin Mehlitz; Christian Bauckhage; Jérôme Kunegis; Sahin Albayrak (SMC, 2007)

An unsupervised hierarchical approach to document categorization. - Robert Wetzker; Tansu Alpcan; Christian Bauckhage; Winfried Umbrath; Sahin Albayrak (Web Intelligence, 2007)

Bayesian imitation learning in game characters. - Christian Thurau; Tobias Paczian; Gerhard Sagerer; Christian Bauckhage (Int. J. Intell. Syst. Technol. Appl., 2007)

Learning Human Behavior from Analyzing Activities in Virtual Environments. - Christian Bauckhage; Bernard Gorman; Christian Thurau; Mark Humphrys (MMI Interakt., 2007)

Image Tagging Using PageRank over Bipartite Graphs. - Christian Bauckhage (DAGM-Symposium, 2008)

08391 Group Summary - Mining for Social Serendipity. - Alexandre Passant; Ian Mulvany; Peter Mika; Nicolas Maisonneuve; Alexander Löser; Ciro Cattuto; Christian Bizer; Christian Bauckhage; Harith Alani (Social Web Communities, 2008)

Modeling Collaborative Similarity with the Signed Resistance Distance Kernel. - Jérôme Kunegis; Stephan Schmidt 001; Sahin Albayrak; Christian Bauckhage; Martin Mehlitz (ECAI, 2008)

Tailoring Taxonomies for Efficient Text Categorization and Expert Finding. - Robert Wetzker; Winfried Umbrath; Leonhard Hennig; Christian Bauckhage; Tansu Alpcan; Florian Metze (Web Intelligence/IAT Workshops, 2008)

Integral correlograms and probabilistic diffusion for image tagging. - Christian Bauckhage (ICIP, 2008)

Image retrieval and Web 2.0 - where can we go from here? - Christian Bauckhage; Tansu Alpcan; Robert Wetzker; Winfried Umbrath (ICIP, 2008)

A discrete-time parallel update algorithm for distributed learning. - Tansu Alpcan; Christian Bauckhage (ICPR, 2008)

Probabilistic Diffusion Classifiers for Object Detection. - Christian Bauckhage (ICPR, 2008)

Alternative similarity functions for graph kernels. - Jérôme Kunegis; Andreas Lommatzsch; Christian Bauckhage (ICPR, 2008)

Detecting trends in social bookmarking systems using a probabilistic generative model and smoothing. - Robert Wetzker; Till Plumbaum; Alexander Korth; Christian Bauckhage; Tansu Alpcan; Florian Metze (ICPR, 2008)

A lightweight biometric signature scheme for user authentication over networks. - Tansu Alpcan; Sinan Kesici; Daniel Bicher; Mehmet Kivanç Mihçak; Christian Bauckhage; Seyit Ahmet Çamtepe (SecureComm, 2008)

The visual active memory perspective on integrated recognition systems. - Christian Bauckhage; Sven Wachsmuth; Marc Hanheide; Sebastian Wrede 001; Gerhard Sagerer; Gunther Heidemann; Helge J. Ritter (Image Vis. Comput., 2008)

A distributed machine learning framework. - Tansu Alpcan; Christian Bauckhage (CDC, 2009)

MALADY: A Machine Learning-Based Autonomous Decision-Making System for Sensor Networks. - Sudha Krishnamurthy; Geethapriya Thamilarasu; Christian Bauckhage (CSE (2), 2009)

Making Archetypal Analysis Practical. - Christian Bauckhage; Christian Thurau (DAGM-Symposium, 2009)

Convex Non-negative Matrix Factorization in the Wild. - Christian Thurau; Kristian Kersting; Christian Bauckhage (ICDM, 2009)

Investigating CAPTCHAs Based on Visual Phenomena. - Anja B. Naumann; Thomas Franke; Christian Bauckhage (INTERACT (2), 2009)

Adaptive wireless services for augmented environments. - Xing Liu; Tansu Alpcan; Christian Bauckhage (MobiQuitous, 2009)

Archetypal Images in Large Photo Collections. - Christian Thurau; Christian Bauckhage (ICSC, 2009)

The slashdot zoo: mining a social network with negative edges. - Jérôme Kunegis; Andreas Lommatzsch; Christian Bauckhage (WWW, 2009)

Automatic detection of abnormal gait. - Christian Bauckhage; John K. Tsotsos; Frank E. Bunn (Image Vis. Comput., 2009)

Subspace manifold learning with sample weights. - Nathan Mekuz; Christian Bauckhage; John K. Tsotsos (Image Vis. Comput., 2009)

Analyzing the Evolution of Social Groups in World of Warcraft®. - Christian Thurau; Christian Bauckhage (CIG, 2010)

Network growth and the spectral evolution model. - Jérôme Kunegis; Damien Fay; Christian Bauckhage (CIKM, 2010)

Yes we can: simplex volume maximization for descriptive web-scale matrix factorization. - Christian Thurau; Kristian Kersting; Christian Bauckhage (CIKM, 2010)

Group Evolution Patterns in World of Warcraft. - Christian Thurau; Christian Bauckhage (GI Jahrestagung (2), 2010)

Age Recognition in the Wild. - Christian Bauckhage; Amirhossein Jahanbekam; Christian Thurau (ICPR, 2010)

Adapting Information Theoretic Clustering to Binary Images. - Christian Bauckhage; Christian Thurau (ICPR, 2010)

Action Recognition in Videos Using Nonnegative Tensor Factorization. - Barbara Krausz 001; Christian Bauckhage (ICPR, 2010)

The Snippet Statistics of Font Recognition. - Jakub Lidke; Christian Thurau; Christian Bauckhage (ICPR, 2010)

Malware Detection on Mobile Devices Using Distributed Machine Learning. - Ashkan Sharifi Shamili; Christian Bauckhage; Tansu Alpcan (ICPR, 2010)

Reverse Indexing for Reading Graffiti Tags. - Christian Thurau; Christian Bauckhage (ICPR, 2010)

The Good, the Bad, and the Ugly: Predicting Aesthetic Image Labels. - Yaowen Wu; Christian Bauckhage; Christian Thurau (ICPR, 2010)

Convex NMF on Non-Convex Massiv Data. - Kristian Kersting; Mirwaes Wahabzada; Christian Thurau; Christian Bauckhage (LWA, 2010)

A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones. - Tansu Alpcan; Christian Bauckhage; Aubrey-Derrick Schmidt (WISTP, 2010)

I tag, you tag: translating tags for advanced user models. - Robert Wetzker; Carsten Zimmermann; Christian Bauckhage; Sahin Albayrak (WSDM, 2010)

Detecting Trends in Social Bookmarking Systems: A del.icio.us Endeavor. - Robert Wetzker; Carsten Zimmermann; Christian Bauckhage (Int. J. Data Warehous. Min., 2010)

Hierarchical Convex NMF for Clustering Massive Data. - Kristian Kersting; Mirwaes Wahabzada; Christian Thurau; Christian Bauckhage (ACML, 2010)

Automatic detection of dangerous motion behavior in human crowds. - Barbara Krausz 001; Christian Bauckhage (AVSS, 2011)

More influence means less work: fast latent dirichlet allocation by influence scheduling. - Mirwaes Wahabzada; Kristian Kersting; Anja Pilz; Christian Bauckhage (CIKM, 2011)

Efficient and Robust Alignment of Unsynchronized Video Sequences. - Georgios D. Evangelidis; Christian Bauckhage (DAGM-Symposium, 2011)

Action recognition by learning discriminative key poses. - Shahzad Cheema; Abdalrahman Eweiwi; Christian Thurau; Christian Bauckhage (ICCV Workshops, 2011)

Temporal key poses for human action recognition. - Abdalrahman Eweiwi; Shahzad Cheema; Christian Thurau; Christian Bauckhage (ICCV Workshops, 2011)

Analyzing pedestrian behavior in crowds for automatic detection of congestions. - Barbara Krausz 001; Christian Bauckhage (ICCV Workshops, 2011)

Insights into Internet Memes. - Christian Bauckhage (ICWSM, 2011)

Convex non-negative matrix factorization for massive datasets. - Christian Thurau; Kristian Kersting; Mirwaes Wahabzada; Christian Bauckhage (Knowl. Inf. Syst., 2011)

Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images. - Kristian Kersting; Zhao Xu 001; Mirwaes Wahabzada; Christian Bauckhage; Christian Thurau; Christoph Römer; Agim Ballvora; Uwe Rascher; Jens Leon; Lutz Plümer (AAAI, 2012)

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)

Efficient Learning for Hashing Proportional Data. - Zhao Xu 001; Kristian Kersting; Christian Bauckhage (ICDM, 2012)

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments. - Sven Seele; Rainer Herpers; Christian Bauckhage (ICEC, 2012)

Who is doing what? Simultaneous recognition of actions and actors. - Muhammad Shahzad Cheema; Abdalrahman Eweiwi; Christian Bauckhage (ICIP, 2012)

Gait recognition by learning distributed key poses. - Muhammad Shahzad Cheema; Abdalrahman Eweiwi; Christian Bauckhage (ICIP, 2012)

Matrix Factorization as Search. - Kristian Kersting; Christian Bauckhage; Christian Thurau; Mirwaes Wahabzada (ECML/PKDD (2), 2012)

Simplex Distributions for Embedding Data Matrices over Time. - Kristian Kersting; Mirwaes Wahabzada; Christoph Römer; Christian Thurau; Agim Ballvora; Uwe Rascher; Jens Leon; Christian Bauckhage; Lutz Plümer (SDM, 2012)

Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study. - Christian Thurau; Kristian Kersting; Christian Bauckhage (SDM, 2012)

Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants. - Mirwaes Wahabzada; Kristian Kersting; Christian Bauckhage; Christoph Römer; Agim Ballvora; Francisco Pinto; Uwe Rascher; Jens Leon; Lutz Ploemer (UAI, 2012)

Loveparade 2010: Automatic video analysis of a crowd disaster. - Barbara Krausz 001; Christian Bauckhage (Comput. Vis. Image Underst., 2012)

Descriptive matrix factorization for sustainability Adopting the principle of opposites. - Christian Thurau; Kristian Kersting; Mirwaes Wahabzada; Christian Bauckhage (Data Min. Knowl. Discov., 2012)

Agriculture's Technological Makeover. - Christian Bauckhage; Kristian Kersting; Albrecht Schmidt 001 (IEEE Pervasive Comput., 2012)

Cognitive Aspects of Traffic Simulations in Virtual Environments. - Sven Seele; Thomas Dettmar; Rainer Herpers; Christian Bauckhage; Peter Becker 001 (Simul. Notes Eur., 2012)

Game Data Mining. - Anders Drachen; Christian Thurau; Julian Togelius; Georgios N. Yannakakis; Christian Bauckhage (Game Analytics, Maximizing the Value of Player Data, 2013)

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)

Discriminative Joint Non-negative Matrix Factorization for Human Action Classification. - Abdalrahman Eweiwi; Muhammad Shahzad Cheema; Christian Bauckhage (GCPR, 2013)

Pathfinding in Games. - Adi Botea; Bruno Bouzy; Michael Buro; Christian Bauckhage; Dana S. Nau (Artificial and Computational Intelligence in Games, 2013)

Learning and Game AI. - Hector Muñoz-Avila; Christian Bauckhage; Michal Bída; Clare Bates Congdon; Graham Kendall (Artificial and Computational Intelligence in Games, 2013)

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

Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes. - Christian Bauckhage; Kristian Kersting; Fabian Hadiji (ICWSM, 2013)

Efficient Mesoscopic Simulations for Persistent Agents in 3D-Applications and Games. - Thomas Dettmar; Sven Seele; Rainer Herpers; Peter Becker 001; Christian Bauckhage (VS-GAMES, 2013)

Computing the Kullback-Leibler Divergence between two Weibull Distributions. - Christian Bauckhage (CoRR, 2013)

Efficient Information Theoretic Clustering on Discrete Lattices. - Christian Bauckhage; Kristian Kersting (CoRR, 2013)

GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science - Fabian Hadiji; Kristian Kersting; Christian Bauckhage; Babak Ahmadi (CoRR, 2013)

Spectral evolution in dynamic networks. - Jérôme Kunegis; Damien Fay; Christian Bauckhage (Knowl. Inf. Syst., 2013)

Can Computers Learn from the Aesthetic Wisdom of the Crowd? - Christian Bauckhage; Kristian Kersting (Künstliche Intell., 2013)

Data Mining and Pattern Recognition in Agriculture. - Christian Bauckhage; Kristian Kersting (Künstliche Intell., 2013)

Efficient Subframe Video Alignment Using Short Descriptors. - Georgios D. Evangelidis; Christian Bauckhage (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Efficient Pose-Based Action Recognition. - Abdalrahman Eweiwi; Muhammed Shahzad Cheema; Christian Bauckhage; Juergen Gall (ACCV (5), 2014)

Synthetic perception for intelligent virtual agents. - Tobias Haubrich; Sven Seele; Rainer Herpers; Christian Bauckhage; Peter Becker 001 (CHI PLAY, 2014)

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)

Informed Haar-Like Features Improve Pedestrian Detection. - Shanshan Zhang 001; Christian Bauckhage; Armin B. Cremers (CVPR, 2014)

A Stochastic Late Fusion Approach to Human Action Recognition in Unconstrained Images and Videos. - Muhammad Shahzad Cheema; Abdalrahman Eweiwi; Christian Bauckhage (GCPR, 2014)

Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series. - Christian Bauckhage; Kasra Manshaei (ICPR, 2014)

Erosion Band Features for Cell Phone Image Based Plant Disease Classification. - Marion Neumann; Lisa Hallau; Benjamin Klatt; Kristian Kersting; Christian Bauckhage (ICPR, 2014)

Center-Surround Contrast Features for Pedestrian Detection. - Shanshan Zhang 001; Dominik Alexander Klein; Christian Bauckhage; Armin B. Cremers (ICPR, 2014)

A Purely Geometric Approach to Non-Negative Matrix Factorization. - Christian Bauckhage (LWA, 2014)

Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images. - Abdalrahman Eweiwi; Shahzad Cheema; Christian Bauckhage (LWA, 2014)

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

Collective attention to social media evolves according to diffusion models. - Christian Bauckhage; Kristian Kersting; Bashir Rastegarpanah (WWW (Companion Volume), 2014)

Computing the Kullback-Leibler Divergence between two Generalized Gamma Distributions. - Christian Bauckhage (CoRR, 2014)

Characterizations and Kullback-Leibler Divergence of Gompertz Distributions. - Christian Bauckhage (CoRR, 2014)

Marginalizing over the PageRank Damping Factor. - Christian Bauckhage (CoRR, 2014)

A Note on Archetypal Analysis and the Approximation of Convex Hulls. - Christian Bauckhage (CoRR, 2014)

Strong Regularities in Growth and Decline of Popularity of Social Media Services. - Christian Bauckhage; Kristian Kersting (CoRR, 2014)

Propagation Kernels. - Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting (CoRR, 2014)

Künstliche Intelligenz für Computerspiele - Historische Entwicklung und aktuelle Trends. - Christian Bauckhage; Kristian Kersting; Christian Thurau (Inform. Spektrum, 2014)

Human activity recognition by separating style and content. - Muhammad Shahzad Cheema; Abdalrahman Eweiwi; Christian Bauckhage (Pattern Recognit. Lett., 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)

Automatic mapping of human behavior data to personality model parameters for traffic simulations in virtual environments. - Steffen Kampmann; Sven Seele; Rainer Herpers; Peter Becker 001; Christian Bauckhage (CIG, 2015)

How Viral Are Viral Videos? - Christian Bauckhage; Fabian Hadiji; Kristian Kersting (ICWSM, 2015)

Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation. - Fabian Hadiji; Martin Mladenov; Christian Bauckhage; Kristian Kersting (IJCAI, 2015)

Modeling Sensation for an Intelligent Virtual Agent's Perception Process. - Tobias Haubrich; Sven Seele; Rainer Herpers; Christian Bauckhage; Peter Becker 001 (IVA, 2015)

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

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

Parameterizing the Distance Distribution of Undirected Networks. - Christian Bauckhage; Kristian Kersting; Fabian Hadiji (UAI, 2015)

Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks. - Christian Bauckhage; Kristian Kersting; Fabian Hadiji (CoRR, 2015)

SGPD Volume Maximization for Community Detection. - Kasra Manshaei; Christian Bauckhage (CoRR, 2015)

High dimensional low sample size activity recognition using geometric classifiers. - Muhammad Shahzad Cheema; Abdalrahman Eweiwi; Christian Bauckhage (Digit. Signal Process., 2015)

LEARNMINER - Advanced Analytics for eLearning. - Christian Bauckhage; Markus Ketterl; Ulrich Nütten (ERCIM News, 2015)

Action recognition in still images by learning spatial interest regions from videos. - Abdalrahman Eweiwi; Muhammad Shahzad Cheema; Christian Bauckhage (Pattern Recognit. Lett., 2015)

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

The Age of Analytics. - Christian Bauckhage; Anders Drachen; Christian Thurau (IEEE Trans. Comput. Intell. AI Games, 2015)

Exploring Human Vision Driven Features for Pedestrian Detection. - Shanshan Zhang 001; Christian Bauckhage; Dominik A. Klein; Armin B. Cremers (IEEE Trans. Circuits Syst. Video Technol., 2015)

Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model. - Shanshan Zhang 001; Christian Bauckhage; Armin B. Cremers (IEEE Trans. Intell. Transp. Syst., 2015)

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

k-Means Clustering via the Frank-Wolfe Algorithm. - Christian Bauckhage (LWDA, 2016)

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

Collective Attention on the Web. - Christian Bauckhage; Kristian Kersting (Found. Trends Web Sci., 2016)

Propagation kernels: efficient graph kernels from propagated information. - Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting (Mach. Learn., 2016)

Fast moving pedestrian detection based on motion segmentation and new motion features. - Shanshan Zhang 001; Dominik A. Klein; Christian Bauckhage; Armin B. Cremers (Multim. Tools Appl., 2016)

Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information. - Marlene Höhne; Amirhossein Jahanbekam; Christian Bauckhage; Nikolai Axmacher; Jürgen Fell (NeuroImage, 2016)

Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants. - Kristian Kersting; Christian Bauckhage; Mirwaes Wahabzada; Anne-Katrin Mahlein; Ulrike Steiner; Erich-Christian Oerke; Christoph Römer; Lutz Plümer (Computational Sustainability, 2016)

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)

A Neural Network Implementation of Frank-Wolfe Optimization. - Christian Bauckhage (ICANN (1), 2017)

Using Echo State Networks for Cryptography. - Rajkumar Ramamurthy; Christian Bauckhage; Krisztián Búza; Stefan Wrobel (ICANN (2), 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)

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)

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)

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

SPSA for Layer-Wise Training of Deep Networks. - Benjamin Wulff; Jannis Schücker; 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)

Neural Conditional Gradients. - Patrick Schramowski; Christian Bauckhage; Kristian Kersting (CoRR, 2018)

Growing Executable Code-Quality-Knowledge Organically. - Daniel Speicher; Tiansi Dong; Christian Bauckhage; Armin B. Cremers (Softwaretechnik-Trends, 2018)

Triple Classification Using Regions and Fine-Grained Entity Typing. - Tiansi Dong; Zhigang Wang; Juanzi Li; Christian Bauckhage; Armin B. Cremers (AAAI, 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)

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)

Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction. - Tiansi Dong; Christian Bauckhage; Hailong Jin; Juanzi Li; Olaf Cremers; Daniel Speicher; Armin B. Cremers; Jörg Zimmermann 001 (ICLR (Poster), 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)

RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels. - Eduardo Brito; Bogdan Georgiev; Daniel Domingo-Fernández; Charles Tapley Hoyt; Christian Bauckhage (LWDA, 2019)

Improving Word Embeddings Using Kernel PCA. - Vishwani Gupta; Sven Giesselbach; Stefan Rüping 001; Christian Bauckhage (RepL4NLP@ACL, 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)

Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. - Laura von Rüden; Sebastian Mayer; Jochen Garcke; Christian Bauckhage; Jannis Schücker (CoRR, 2019)

Recurrent Adversarial Service Times. - César Ojeda; Kostadin Cvejosky; Ramsés J. Sánchez; Jannis Schücker; Bogdan Georgiev; Christian Bauckhage (CoRR, 2019)

Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. - Eduardo Brito; Max Lübbering; David Biesner; Lars Patrick Hillebrand; Christian Bauckhage (CoRR, 2019)

Recurrent Point Processes for Dynamic Review Models. - Kostadin Cvejoski; Ramsés J. Sánchez; Bogdan Georgiev; Jannis Schuecker; Christian Bauckhage; César Ojeda (CoRR, 2019)

Informed Machine Learning for Industry. - Christian Bauckhage; Daniel Schulz; Dirk Hecker (ERCIM News, 2019)

Notes on the Code Quality Culture on Jupyter (Notebooks). - Daniel Speicher; Daniel Dong; Olaf Cremers; Christian Bauckhage; Armin B. Cremers (Softwaretechnik-Trends, 2019)

Grundlagen des Maschinellen Lernens. - Christian Bauckhage; Wolfgang Hübner 001; Ronny Hug; Gerhard Paaß; Stefan Rüping 001 (Handbuch der Künstlichen Intelligenz, 2020)

Tiefe neuronale Netze. - Christian Bauckhage; Wolfgang Hübner 001; Ronny Hug; Gerhard Paaß (Handbuch der Künstlichen Intelligenz, 2020)

Vertrauenswürdiges, transparentes und robustesMaschinelles Lernen. - Christian Bauckhage; Johannes Fürnkranz; Gerhard Paaß (Handbuch der Künstlichen Intelligenz, 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)

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)

Switching Dynamical Systems with Deep Neural Networks. - César Ojeda; Bogdan Georgiev; Kostadin Cvejoski; Jannis Schücker; Christian Bauckhage; Ramsés J. Sánchez (ICPR, 2020)

Auto Encoding Explanatory Examples with Stochastic Paths. - César Ojeda; Ramsés J. Sánchez; Kostadin Cvejoski; Jannis Schücker; Christian Bauckhage; Bogdan Georgiev (ICPR, 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)

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. - Laura von Rüden; Tim Wirtz; Fabian Hüger; Jan David Schneider; Nico Piatkowski; Christian Bauckhage (ICPR, 2020)

Decision Snippet Features. - Pascal Welke; Fouad Alkhoury; Christian Bauckhage; Stefan Wrobel (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)

Recurrent Point Review Models. - Kostadin Cvejoski; Ramsés J. Sánchez; Bogdan Georgiev; Christian Bauckhage; César Ojeda (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)

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

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

Learning Syllogism with Euler Neural-Networks. - Tiansi Dong; Chengjiang Li; Christian Bauckhage; Juanzi Li; Stefan Wrobel; Armin B. Cremers (CoRR, 2020)

Towards Map-Based Validation of Semantic Segmentation Masks. - Laura von Rüden; Tim Wirtz; Fabian Hüger; Jan David Schneider; Christian Bauckhage (CoRR, 2020)

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

Gradient-free quantum optimization on NISQ devices. - Lukas Franken; Bogdan Georgiev; Sascha Mücke; Moritz Wolter; Nico Piatkowski; Christian Bauckhage (CoRR, 2020)

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

Learning Deep Generative Models for Queuing Systems. - César Ojeda; Kostadin Cvejoski; Bogdan Georgiev; Christian Bauckhage; Jannis Schuecker; Ramsés J. Sánchez (AAAI, 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)

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)

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

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)

Dynamic Review-based Recommenders. - Kostadin Cvejoski; Ramsés J. Sánchez; Christian Bauckhage; César Ojeda (CoRR, 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)

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)

Quantum Circuit Evolution on NISQ Devices. - Lukas Franken; Bogdan Georgiev; Sascha Mücke; Moritz Wolter; Raoul Heese; Christian Bauckhage; Nico Piatkowski (CEC, 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)

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)

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)

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)

What can we expect from Quantum (Digital) Twins? - Malik Amir; Christian Bauckhage; Alina M. Chircu; Christian Czarnecki; Christian Knopf; Nico Piatkowski; Eldar Sultanow (Wirtschaftsinformatik, 2022)

Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. - Maurice Günder; Facundo Ramón Ispizua Yamati; Jana Kierdorf; Ribana Roscher; Anne-Katrin Mahlein; Christian Bauckhage (CoRR, 2022)

QUBOs for Sorting Lists and Building Trees. - Christian Bauckhage; Thore Gerlach; Nico Piatkowski (CoRR, 2022)

Informed Pre-Training on Prior Knowledge. - Laura von Rüden; Sebastian Houben; Kostadin Cvejoski; Christian Bauckhage; Nico Piatkowski (CoRR, 2022)

Predict better with less training data using a QNN. - Barry D. Reese; Marek Kowalik; Christian Metzl; Christian Bauckhage; Eldar Sultanow (CoRR, 2022)

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

Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning. - Maurice Günder; Nico Piatkowski; Christian Bauckhage (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)

Sicherheit von Quantum Machine Learning. - Eldar Sultanow; Christian Bauckhage; Christian Knopf; Nico Piatkowski (Wirtschaftsinformatik Manag., 2022)

A New Aligned Simple German Corpus. - Vanessa Toborek; Moritz Busch; Malte Boßert; Christian Bauckhage; Pascal Welke (ACL (1), 2023)

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)

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)

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)

How Does Knowledge Injection Help in Informed Machine Learning? - Laura von Rüden; Jochen Garcke; Christian Bauckhage (IJCNN, 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)

An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. - Sebastian Müller; Vanessa Toborek; Katharina Beckh; Matthias Jakobs; Christian Bauckhage; Pascal Welke (ECML/PKDD (3), 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)

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. - Laura von Rüden; Sebastian Mayer; Katharina Beckh; Bogdan Georgiev; Sven Giesselbach; Raoul Heese; Birgit Kirsch; Julius Pfrommer; Annika Pick; Rajkumar Ramamurthy; Michal Walczak; Jochen Garcke; et al. (IEEE Trans. Knowl. Data Eng., 2023)

Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021). - Christian Bauckhage; Wolfgang Förstner; Juergen Gall; Michael Möller 001; Alexander G. Schwing (Int. J. Comput. Vis., 2023)

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)

Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning. - Maurice Günder; Facundo Ramón Ispizua Yamati; Anne-Katrin Mahlein; Christian Bauckhage (IEEE Big Data, 2024)

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

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)

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

Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality. - Jorge de Heuvel; Sebastian Müller; Marlene Wessels; Aftab Akhtar; Christian Bauckhage; Maren Bennewitz (CoRR, 2025)

CFIRE: A General Method for Combining Local Explanations. - Sebastian Müller; Vanessa Toborek; Tamás Horváth 001; Christian Bauckhage (CoRR, 2025)

Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints. - Peter Röseler; Oliver Schaudt; Helmut Berg; Christian Bauckhage; Matthias Koch (CoRR, 2025)

Kernel k-Medoids as General Vector Quantization. - Thore Gerlach; Sascha Mücke; Christian Bauckhage (CoRR, 2025)

Improving graph neural networks through feature importance learning. - Fouad Alkhoury; Tamás Horváth 001; Christian Bauckhage; Stefan Wrobel (Mach. Learn., 2025)