Christian Bauckhage

发表

Efficient Mesoscopic Simulations for Persistent Agents in 3D-Applications and Games

Thomas Dettmar, Sven Seele, Rainer Herpers, 2013, 2013 5th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES).

Pathfinding in Games

Christian Bauckhage, Dana S. Nau, Adi Botea, 2013, Artificial and Computational Intelligence in Games.

I tag, you tag: translating tags for advanced user models

Christian Bauckhage, Sahin Albayrak, Robert Wetzker, 2010, WSDM '10.

Echo State Networks for Named Entity Recognition

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

Probabilistic Diffusion Classifiers for Object Detection

Christian Bauckhage, 2008, 2008 19th International Conference on Pattern Recognition.

Characterizations and Kullback-Leibler Divergence of Gompertz Distributions pdf

Christian Bauckhage, C. Bauckhage, 2014, ArXiv.

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.

Malware Detection on Mobile Devices Using Distributed Machine Learning

Christian Bauckhage, Tansu Alpcan, Ashkan Sharifi Shamili, 2010, 2010 20th International Conference on Pattern Recognition.

MALADY: A Machine Learning-Based Autonomous Decision-Making System for Sensor Networks

Christian Bauckhage, Sudha Krishnamurthy, Geethapriya Thamilarasu, 2009, 2009 International Conference on Computational Science and Engineering.

A cognitive vision system for action recognition in office environments

Christian Bauckhage, Sebastian Wrede, Marc Hanheide, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Insights into Internet Memes

Christian Bauckhage, C. Bauckhage, 2011, ICWSM.

Automatic mapping of human behavior data to personality model parameters for traffic simulations in virtual environments

Sven Seele, Rainer Herpers, Peter Becker, 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).

Robust Tensor Classifiers for Color Object Recognition

Christian Bauckhage, 2007, ICIAR.

An integrated system for cooperative man-machine interaction

Sven Wachsmuth, Franz Kummert, Christian Bauckhage, 2001, Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515).

Hopfield Networks for Vector Quantization

Christian Bauckhage, R. Ramamurthy, Rafet Sifa, 2020, ICANN.

Introducing Clustering II: Clustering Algorithms

Christian Bauckhage, Anders Drachen, S. Rafet, 2014 .

Synthetic perception for intelligent virtual agents

Sven Seele, Rainer Herpers, Peter Becker, 2014, CHI PLAY.

Temporal key poses for human action recognition

Christian Bauckhage, Christian Thurau, Abdalrahman Eweiwi, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Mosaics from Arbitrary Stereo Video Sequences

William J. Christmas, Josef Kittler, Christian Bauckhage, 2004, DAGM-Symposium.

Efficient Information Theoretic Clustering on Discrete Lattices pdf

Christian Bauckhage, Kristian Kersting, 2013, ArXiv.

A lightweight biometric signature scheme for user authentication over networks

Christian Bauckhage, Tansu Alpcan, Seyit Ahmet Çamtepe, 2008, SecureComm.

Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks pdf

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

Collective Attention on the Web

Christian Bauckhage, Kristian Kersting, K. Kersting, 2016, Found. Trends Web Sci..

A Neural Network Implementation of Frank-Wolfe Optimization

Christian Bauckhage, 2017, ICANN.

A discrete-time parallel update algorithm for distributed learning

Christian Bauckhage, Tansu Alpcan, 2008, 2008 19th International Conference on Pattern Recognition.

The visual active memory perspective on integrated recognition systems

Helge J. Ritter, Sven Wachsmuth, Christian Bauckhage, 2008, Image Vis. Comput..

The Snippet Statistics of Font Recognition

Christian Bauckhage, Christian Thurau, Jakub Lidke, 2010, 2010 20th International Conference on Pattern Recognition.

Automatic detection of abnormal gait

John K. Tsotsos, Christian Bauckhage, Frank E. Bunn, 2009, Image Vis. Comput..

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.

The "Spree" Expert Finding System

Florian Metze, Christian Bauckhage, Tansu Alpcan, 2007, International Conference on Semantic Computing (ICSC 2007).

Context Free Grammars and Semantic Networks for Flexible Assembly Recognition

Christian Bauckhage, Gerhard Sagerer, C. Bauckhage, 2003 .

Intelligent Navigation in Image Databases

Christian Bauckhage, Gerhard Sagerer, Thomas Käster, 2004, Künstliche Intell..

From Image Features To Symbols And Vice Versa - Using Graphs To Loop Data- And Model-Driven Processing In Visual Assembly Recognition

Christian Bauckhage, Gerhard Sagerer, Elke Braun, 2004, Int. J. Pattern Recognit. Artif. Intell..

Large-Scale Cross-Game Player Behavior Analysis on Steam

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

Using Echo State Networks for Cryptography

Christian Bauckhage, Stefan Wrobel, Rajkumar Ramamurthy, 2017, ICANN.

Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes

Christian Bauckhage, Fabian Hadiji, Kristian Kersting, 2013, ICWSM.

Simplex Volume Maximization (SiVM): A matrix factorization algorithm with non-negative constrains and low computing demands for the interpretation of full spectral X-ray fluorescence imaging data

Christian Bauckhage, Kristian Kersting, Koen Janssens, 2017 .

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.

Informed Haar-Like Features Improve Pedestrian Detection

Armin B. Cremers, Christian Bauckhage, Shanshan Zhang, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

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.

Convex non-negative matrix factorization for massive datasets

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2011, Knowledge and Information Systems.

Tree-Based Signatures for Shape Classification

Christian Bauckhage, 2006, 2006 International Conference on Image Processing.

Analyzing the Evolution of Social Groups in World of Warcraft®

Christian Bauckhage, Christian Thurau, C. Bauckhage, 2010, Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games.

Analyzing pedestrian behavior in crowds for automatic detection of congestions

Christian Bauckhage, Barbara Krausz, C. Bauckhage, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Chapter 12: Game Data Mining

Julian Togelius, Christian Bauckhage, Georgios N. Yannakakis, 2012 .

An XML based framework for cognitive vision architectures

Christian Bauckhage, Sebastian Wrede, Jannik Fritsch, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Inverse Dynamical Inheritance in Stack Exchange Taxonomies

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

Adaptive method and system for enhanced wireless services environments

Christian Bauckhage, Tansu Alpcan, Xing Liu, 2009 .

Bayesian imitation learning in game characters

Christian Bauckhage, Tobias Paczian, Gerhard Sagerer, 2007, Int. J. Intell. Syst. Technol. Appl..

LEARNMINER - Advanced Analytics for eLearning

Christian Bauckhage, Markus Ketterl, Ulrich Nütten, 2015, ERCIM News.

Informed Machine Learning for Industry

Christian Bauckhage, Dirk Hecker, Daniel Schulz, 2019, ERCIM News.

Vision Systems with the Human in the Loop

Christian Bauckhage, Sebastian Wrede, Marc Hanheide, 2005, EURASIP J. Adv. Signal Process..

A Structural Framework for Assembly Modeling and Recognition

Franz Kummert, Christian Bauckhage, Gerhard Sagerer, 2003, CAIP.

Action recognition in still images by learning spatial interest regions from videos

Christian Bauckhage, Abdalrahman Eweiwi, Shahzad Cheema, 2015, Pattern Recognit. Lett..

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.

Loveparade 2010: Automatic video analysis of a crowd disaster

Christian Bauckhage, Barbara Krausz, C. Bauckhage, 2012, Comput. Vis. Image Underst..

Efficient Subframe Video Alignment Using Short Descriptors

Christian Bauckhage, Georgios D. Evangelidis, C. Bauckhage, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

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

A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones

Christian Bauckhage, Tansu Alpcan, Aubrey-Derrick Schmidt, 2010, WISTP.

Propagation kernels: efficient graph kernels from propagated information

Roman Garnett, Christian Bauckhage, Kristian Kersting, 2015, Machine Learning.

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.

Separable Linear Classifiers for Online Learning in Appearance Based Object Detection

John K. Tsotsos, Christian Bauckhage, 2005, CAIP.

Künstliche Intelligenz für Computerspiele

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2014, Informatik-Spektrum.

Behavior evolution in Tomb Raider Underworld

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

Benefits of Separable, Multilinear Discriminant Classification

Christian Bauckhage, Thomas Käster, 2006, ICPR.

Towards manifold learning for gamebot behavior modeling

Christian Bauckhage, Christian Thurau, 2005, ACE '05.

Benefits of Separable, Multilinear Classification

Christian Bauckhage, Thomas Käster, C. Bauckhage, 2006 .

Efficient and Robust Alignment of Unsynchronized Video Sequences

Christian Bauckhage, Georgios D. Evangelidis, C. Bauckhage, 2011, DAGM-Symposium.

HAUPTBEITRAG / KÜNSTLICHE INTELLIGENZ FÜR COMPUTERSPIELE }

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2014 .

Combining speech and haptics for intuitive and efficient navigation through image databases

Christian Bauckhage, Thomas Käster, Michael Pfeiffer, 2003, ICMI '03.

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).

Learning Spatial Interest Regions from Videos to Inform Action Recognition in Still Images

Christian Bauckhage, Abdalrahman Eweiwi, Shahzad Cheema, 2014, LWA.

Archetypal Game Recommender Systems

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

Propagation Kernels pdf

Roman Garnett, Christian Bauckhage, Kristian Kersting, 2014, ArXiv.

GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science pdf

Christian Bauckhage, Fabian Hadiji, Kristian Kersting, 2013, ArXiv.

Efficient Learning for Hashing Proportional Data

Christian Bauckhage, Kristian Kersting, Zhao Xu, 2012, 2012 IEEE 12th International Conference on Data Mining.

Bayesian Imitation of Human Behavior in Interactive Computer Games

Christian Bauckhage, Bernard Gorman, Christian Thurau, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Action Recognition in Videos Using Nonnegative Tensor Factorization

Christian Bauckhage, Barbara Krausz, C. Bauckhage, 2010, 2010 20th International Conference on Pattern Recognition.

Max-Sum Dispersion via Quantum Annealing

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

Neural Conditional Gradients pdf

Christian Bauckhage, Kristian Kersting, Patrick Schramowski, 2018, ArXiv.

Simplex Distributions for Embedding Data Matrices over Time

Christian Bauckhage, Kristian Kersting, Lutz Plümer, 2012, SDM.

Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM

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

SGPD Volume Maximization for Community Detection pdf

Christian Bauckhage, Kasra Manshaei, C. Bauckhage, 2015, ArXiv.

Where the Pirates Are

Christian Bauckhage, 2011 .

Towards a Vision System for Supervising Assembly Processes

Franz Kummert, Christian Bauckhage, Jannik Fritsch, 1999 .

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

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

Predicting Emerging Trends in Citation Networks

Christian Bauckhage, Stefan Wrobel, César Ojeda, 2018 .

Clustering Game Behavior Data

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

Applying Ensembles of Multilinear Classifiers in the Frequency Domain

John K. Tsotsos, Christian Bauckhage, Thomas Käster, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

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

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

Image Space I3 and Eigen Curvature for Illumination Insensitive Face Detection

John K. Tsotsos, Christian Bauckhage, 2005, ICIAR.

Non-negative factor analysis supporting the interpretation of elemental distribution images acquired by XRF

Christian Bauckhage, Kristian Kersting, Matthias Alfeld, 2014 .

Game Data Mining

Julian Togelius, Christian Bauckhage, Georgios N. Yannakakis, 2013, Game Analytics, Maximizing the Value of Player Data.

Adiabatic Quantum Computing for Kernel k=2 Means Clustering

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

Profiling in Games: Understanding Behavior from Telemetry

Christian Bauckhage, Anders Drachen, Rafet Sifa, 2017 .

Is Bayesian Imitation Learning the Route to Believable Gamebots

Christian Bauckhage, Tobias Paczian, Christian Thurau, 2004 .

SPSA for Layer-Wise Training of Deep Networks

Christian Bauckhage, Benjamin Wulff, Jannis Schücker, 2018, ICANN.

Group Evolution Patterns in World of Warcraft

Christian Bauckhage, Christian Thurau, C. Bauckhage, 2010, GI Jahrestagung.

Patterns and Outliers in Temporal Point Processes

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

Adapting Information Theoretic Clustering to Binary Images

Christian Bauckhage, Christian Thurau, 2010, 2010 20th International Conference on Pattern Recognition.

Human activity recognition by separating style and content

Christian Bauckhage, Abdalrahman Eweiwi, Shahzad Cheema, 2014, Pattern Recognit. Lett..

Efficient Pose-Based Action Recognition

Christian Bauckhage, Juergen Gall, Abdalrahman Eweiwi, 2014, ACCV.

Towards a Fair 'n Square Aimbot - Using Mixtures of Experts to Learn Context Aware Weapon Handling

Christian Bauckhage, Christian Thurau, C. Bauckhage, 2004 .

Exploiting the Fascination: Video Games in Machine Learning Research and Education

Christian Bauckhage, Christian Thurau, C. Bauckhage, 2004 .

Erkennung von Aggregaten aus Struktur und Handlung

Christian Bauckhage, Jannik Fritsch, Gerhard Sagerer, 1999, Künstliche Intell..

High dimensional low sample size activity recognition using geometric classifiers

Christian Bauckhage, Abdalrahman Eweiwi, Shahzad Cheema, 2015, Digit. Signal Process..

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures

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

Detecting trends in social bookmarking systems using a probabilistic generative model and smoothing

Florian Metze, Christian Bauckhage, Tansu Alpcan, 2008, 2008 19th International Conference on Pattern Recognition.

Detecting Trends in Social Bookmarking Systems: A del.icio.us Endeavor

Christian Bauckhage, Robert Wetzker, Carsten Zimmermann, 2010, Int. J. Data Warehous. Min..

Christian Bauckhage, Jérôme Kunegis, Andreas Lommatzsch, 2008, 2008 19th International Conference on Pattern Recognition.

Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification pdf

Christian Bauckhage, Max Lübbering, Lars Patrick Hillebrand, 2019, ArXiv.

A Note on Archetypal Analysis and the Approximation of Convex Hulls pdf

Christian Bauckhage, C. Bauckhage, 2014, ArXiv.

Strong Regularities in Growth and Decline of Popularity of Social Media Services pdf

Christian Bauckhage, Kristian Kersting, 2014, ArXiv.

Online k-Maxoids Clustering

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

Imitation learning at all levels of game-AI

Christian Bauckhage, Gerhard Sagerer, Christian Thurau, 2004 .

Learning assembly sequence plans using functional models

Franz Kummert, Christian Bauckhage, Gerhard Sagerer, 1999, Proceedings of the 1999 IEEE International Symposium on Assembly and Task Planning (ISATP'99) (Cat. No.99TH8470).

Synthesizing Movements for Computer Game Characters

Christian Bauckhage, Gerhard Sagerer, Christian Thurau, 2004, DAGM-Symposium.

Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies

Franz Kummert, Christian Bauckhage, Gerhard Sagerer, 2000, SSPR/SPR.

08391 Group Summary - Mining for Social Serendipity

Christian Bauckhage, Ciro Cattuto, Harith Alani, 2008, Social Web Communities.

The Age of Analytics

Christian Bauckhage, Anders Drachen, Christian Thurau, 2015, IEEE Trans. Comput. Intell. AI Games.

Tailoring Taxonomies for Efficient Text Categorization and Expert Finding

Florian Metze, Christian Bauckhage, Tansu Alpcan, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Informed Machine Learning Through Functional Composition

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

RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels

Christian Bauckhage, Eduardo Brito, Charles Tapley Hoyt, 2019, LWDA.

Action recognition by learning discriminative key poses

Christian Bauckhage, Christian Thurau, Abdalrahman Eweiwi, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

A Fast, Feature-based Cluster Algorithm for Information Retrieval

Christian Bauckhage, Sahin Albayrak, Martin Mehlitz, 2007, 2007 IEEE International Conference on Information Reuse and Integration.

A QUBO Formulation of the k-Medoids Problem

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

Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants

Christian Bauckhage, Kristian Kersting, Francisco Pinto, 2012, UAI.

Modeling Sensation for an Intelligent Virtual Agent's Perception Process

Sven Seele, Rainer Herpers, Peter Becker, 2015, IVA.

Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features

Christian Bauckhage, Thomas Käster, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Policy Learning Using SPSA

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

Usability Evaluation for Image Retrieval Beyond Desktop Applications

Christian Bauckhage, Thomas Käster, Michael Pfeiffer, 2006, 2006 IEEE International Conference on Multimedia and Expo.

The slashdot zoo: mining a social network with negative edges

Christian Bauckhage, Jérôme Kunegis, Andreas Lommatzsch, 2009, WWW.

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).

An active memory as a model for information fusion

Christian Bauckhage, Sebastian Wrede, Marc Hanheide, 2004 .

Predicting player churn in the wild

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

The "Spree" Expert Finding System

Florian Metze, Christian Bauckhage, Tansu Alpcan, 2007 .

Integrating Lateral Swaying of Pedestrians into Simulations

Christian Bauckhage, Barbara Krausz, C. Bauckhage, 2014 .

Fast moving pedestrian detection based on motion segmentation and new motion features

Armin B. Cremers, Christian Bauckhage, Shanshan Zhang, 2015, Multimedia Tools and Applications.

Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants

Christian Bauckhage, Kristian Kersting, Lutz Plümer, 2016, Computational Sustainability.

Believability Testing and Bayesian Imitation in Interactive Computer Games

Christian Bauckhage, Bernard Gorman, Christian Thurau, 2006, SAB.

Memory consistency validation in a cognitive vision system

Christian Bauckhage, Marc Hanheide, Gerhard Sagerer, 2004, ICPR 2004.

Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images

Christian Bauckhage, Kristian Kersting, Lutz Plümer, 2012, AAAI.

Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model

Armin B. Cremers, Christian Bauckhage, Shanshan Zhang, 2015, IEEE Transactions on Intelligent Transportation Systems.

Tensor-Based Filter Design using Kernel Ridge Regression

Christian Bauckhage, 2007, 2007 IEEE International Conference on Image Processing.

An Efficient Ontology-Based Expert Peering System

Sachin Agarwal, Christian Bauckhage, Tansu Alpcan, 2007, GbRPR.

Cell Phone Image-Based Plant Disease Classification

Christian Bauckhage, Kristian Kersting, Marion Neumann, 2016 .

Predicting Purchase Decisions in Mobile Free-to-Play Games

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

Marginalizing over the PageRank Damping Factor pdf

Christian Bauckhage, C. Bauckhage, 2014, ArXiv.

Spectral evolution in dynamic networks

Christian Bauckhage, Damien Fay, Jérôme Kunegis, 2012, Knowledge and Information Systems.

Combining Self Organizing Maps and Multilayer Perceptrons to Learn Bot-Behavior for a Commercial Computer Game

Christian Bauckhage, Gerhard Sagerer, Christian Thurau, 2003 .

Adaptive Decision Making in Microsimulations of Urban Traffic in Virtual Environments

Sven Seele, Rainer Herpers, Christian Bauckhage, 2014, ICEC 2014.

An XML based framework for cognitive vision architectures

Christian Bauckhage, Sebastian Wrede, Jannik Fritsch, 2004, ICPR 2004.

Convex Non-negative Matrix Factorization in the Wild

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Making Archetypal Analysis Practical

Christian Bauckhage, Christian Thurau, C. Bauckhage, 2009, DAGM-Symposium.

Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series

Christian Bauckhage, Kasra Manshaei, C. Bauckhage, 2014, 2014 22nd International Conference on Pattern Recognition.

Towards 3D Internet: Why, What, and How?

Christian Bauckhage, Tansu Alpcan, Evangelos Kotsovinos, 2007, CW 2007.

Separable Linear Discriminant Classification

John K. Tsotsos, Christian Bauckhage, 2005, DAGM-Symposium.

Extracting Salient Points and Parts of Shapes Using Modified k d-Trees

Christian Bauckhage, C. Bauckhage, 2007, CAIP.

Subspace manifold learning with sample weights

John K. Tsotsos, Christian Bauckhage, Nathan Mekuz, 2009, Image Vis. Comput..

Guided Reinforcement Learning via Sequence Learning

Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa, 2020, ICANN.

Gait recognition by learning distributed key poses

Christian Bauckhage, Abdalrahman Eweiwi, Shahzad Cheema, 2012, 2012 19th IEEE International Conference on Image Processing.

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments

Sven Seele, Rainer Herpers, Christian Bauckhage, 2012, ICEC.

Lecture Notes on Data Science: Kernel k-Means Clustering (Part 1)

Christian Bauckhage, C. Bauckhage, 2015 .

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).

Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information

Christian Bauckhage, Nikolai Axmacher, Jürgen Fell, 2016, NeuroImage.

A Stochastic Late Fusion Approach to Human Action Recognition in Unconstrained Images and Videos

Christian Bauckhage, Abdalrahman Eweiwi, Shahzad Cheema, 2014, GCPR.

Predicting Player Chum In the Wild

Christian Bauckhage, Fabian Hadiji, Anders Drachen, 2014 .

Memorizing Visual Knowledge for Assembly Process Monitoring

Christian Bauckhage, Jannik Fritsch, Gerhard Sagerer, 2001, DAGM-Symposium.

A comparison of methods for player clustering via behavioral telemetry pdf

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

Learning Human-Like Opponent Behavior for Interactive Computer Games

Christian Bauckhage, Gerhard Sagerer, Christian Thurau, 2003, DAGM-Symposium.

Comparing and evaluating interest points

Cordelia Schmid, Christian Bauckhage, Roger Mohr, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Cognitive Aspects of Traffic Simulations in Virtual Environments

Thomas Dettmar, Sven Seele, Rainer Herpers, 2012, Simul. Notes Eur..

Detecting abnormal gait

John K. Tsotsos, Christian Bauckhage, Frank E. Bunn, 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

Integrating Recognition Paradigms in a Multiple-Path Architecture

Helge J. Ritter, Franz Kummert, Christian Bauckhage, 2001, ICAPR.

Adaptive wireless services for augmented environments

Christian Bauckhage, Tansu Alpcan, Xing Liu, 2009, 2009 6th Annual International Mobile and Ubiquitous Systems: Networking & Services, MobiQuitous.

A cognitive vision system for action recognition in office environments

Christian Bauckhage, Sebastian Wrede, Marc Hanheide, 2004, CVPR 2004.

Age Recognition in the Wild

Christian Bauckhage, Christian Thurau, Amirhossein Jahanbekam, 2010, 2010 20th International Conference on Pattern Recognition.

Archetypal Images in Large Photo Collections

Christian Bauckhage, Christian Thurau, C. Bauckhage, 2009, 2009 IEEE International Conference on Semantic Computing.

Learning Human Behavior from Analyzing Activities in Virtual Environments

Christian Bauckhage, Bernard Gorman, Christian Thurau, 2007, MMI Interakt..

Matrix Factorization as Search

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2012, ECML/PKDD.

Hierarchical Convex NMF for Clustering Massive Data

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2010, ACML.

Evaluating integrated speech- and image understanding

Sven Wachsmuth, Christian Bauckhage, Katharina J. Rohlfing, 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

Non-negative Matrix Factorization in Multimodality Data for Segmentation and Label Prediction

Christian Bauckhage, Zeynep Akata, Christian Thurau, 2011 .

Towards 3D Internet: Why, What, and How?

Christian Bauckhage, Tansu Alpcan, Evangelos Kotsovinos, 2007, 2007 International Conference on Cyberworlds (CW'07).

Modeling and recognition of assembled objects

Franz Kummert, Christian Bauckhage, Gerhard Sagerer, 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

Data Mining and Pattern Recognition in Agriculture

Christian Bauckhage, Kristian Kersting, K. Kersting, 2013, KI - Künstliche Intelligenz.

Exploring Human Vision Driven Features for Pedestrian Detection

Armin B. Cremers, Christian Bauckhage, Shanshan Zhang, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Computer Science on the Move: Inferring Migration Regularities from the Web via Compressed Label Propagation

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

Collective attention to social media evolves according to diffusion models

Christian Bauckhage, Kristian Kersting, Bashir Rastegarpanah, 2014, WWW '14 Companion.

Integration frameworks for large scale cognitive vision systems - an evaluative study

Christian Bauckhage, Markus Vincze, Sebastian Wrede, 2004, ICPR 2004.

Distance-Free Image Retrieval Based on Stochastic Diffusion over Bipartite Graphs

Christian Bauckhage, 2007, BMVC.

Integral correlograms and probabilistic diffusion for image tagging

Christian Bauckhage, 2008, 2008 15th IEEE International Conference on Image Processing.

Evaluation of Interest Point Detectors

Cordelia Schmid, Christian Bauckhage, Roger Mohr, 2000, International Journal of Computer Vision.

Convex NMF on Non-Convex Massiv Data

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2010, LWA.

Can Computers Learn from the Aesthetic Wisdom of the Crowd?

Christian Bauckhage, Kristian Kersting, 2012, KI - Künstliche Intelligenz.

From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders

Christian Bauckhage, Rajkumar Ramamurthy, Rafet Sifa, 2020, ICANN.

Cognitive Agents with Psychological Personality Profiles for Traffic Simulations in Virtual Environments

Sven Seele, Rainer Herpers, Christian Bauckhage, 2012 .

Triple Classification Using Regions and Fine-Grained Entity Typing

Tiansi Dong, Armin B. Cremers, Christian Bauckhage, 2019, AAAI.

User Churn Migration Analysis with DEDICOM

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

Bounding box splitting for robust shape classification

John K. Tsotsos, Christian Bauckhage, 2005, IEEE International Conference on Image Processing 2005.

An intelligent knowledge sharing system for web communities

Sachin Agarwal, Florian Metze, Christian Bauckhage, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning pdf

Christian Bauckhage, Sebastian Mayer, Jochen Garcke, 2019, ArXiv.

A distributed machine learning framework

Christian Bauckhage, Tansu Alpcan, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Introducing Clustering III: Challenges and Pitfalls

Christian Bauckhage, Anders Drachen, S. Rafet, 2014 .

Tactical Waypoint Maps: Towards Imitating Tactics in FPS Games

Christian Bauckhage, Christian Thurau, 2005 .

Integration frameworks for large scale cognitive vision systems - an evaluative study

Wolfgang Ponweiser, Christian Bauckhage, Markus Vincze, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

k-Means Clustering via the Frank-Wolfe Algorithm

Christian Bauckhage, C. Bauckhage, 2016, LWDA.

Image Tagging Using PageRank over Bipartite Graphs

Christian Bauckhage, 2008, DAGM-Symposium.

Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2012, SDM.

Who is doing what? Simultaneous recognition of actions and actors

Christian Bauckhage, Abdalrahman Eweiwi, Shahzad Cheema, 2012, 2012 19th IEEE International Conference on Image Processing.

Recurrent Adversarial Service Times pdf

Christian Bauckhage, Bogdan Georgiev, César Ojeda, 2019, ArXiv.

Agriculture's Technological Makeover

Albrecht Schmidt, Christian Bauckhage, Kristian Kersting, 2012, IEEE Pervasive Computing.

Towards Automated Auditing with Machine Learning

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

From Images via Symbols to Contexts: Using Augmented Reality for Interactive Model Acquisition

Sven Wachsmuth, Christian Bauckhage, Sebastian Wrede, 2005 .

Benefits of Separable, Multilinear Discriminant Classification

Christian Bauckhage, Thomas Käster, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Discriminative Joint Non-negative Matrix Factorization for Human Action Classification

Christian Bauckhage, Abdalrahman Eweiwi, Shahzad Cheema, 2013, GCPR.

Center-Surround Contrast Features for Pedestrian Detection

Armin B. Cremers, Christian Bauckhage, Shanshan Zhang, 2014, 2014 22nd International Conference on Pattern Recognition.

Computing the Kullback-Leibler Divergence between two Weibull Distributions pdf

Christian Bauckhage, C. Bauckhage, 2013, ArXiv.

Descriptive matrix factorization for sustainability Adopting the principle of opposites

Christian Bauckhage, Kristian Kersting, Christian Thurau, 2011, Data Mining and Knowledge Discovery.

Variable Attention and Variable Noise: Forecasting User Activity

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

Erosion Band Features for Cell Phone Image Based Plant Disease Classification

Christian Bauckhage, Kristian Kersting, Marion Neumann, 2014, 2014 22nd International Conference on Pattern Recognition.

A new evaluation measure for information retrieval systems

Christian Bauckhage, Sahin Albayrak, Jérôme Kunegis, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Modeling Collaborative Similarity with the Signed Resistance Distance Kernel

Christian Bauckhage, Sahin Albayrak, Stephan Schmidt, 2008, ECAI.

Automatic detection of dangerous motion behavior in human crowds

Christian Bauckhage, Barbara Krausz, C. Bauckhage, 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Combining environmental cues & head gestures to interact with wearable devices

Christian Bauckhage, Marc Hanheide, Gerhard Sagerer, 2005, ICMI '05.

Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants

Christian Bauckhage, Anne-Katrin Mahlein, Erich-Christian Oerke, 2016, Scientific Reports.

Introducing Clustering I: Behavioral Profiling for Game Analytics

Christian Bauckhage, Anders Drachen, S. Rafet, 2014 .

Computing the Kullback-Leibler Divergence between two Generalized Gamma Distributions pdf

Christian Bauckhage, C. Bauckhage, 2014, ArXiv.

Investigating CAPTCHAs Based on Visual Phenomena

Christian Bauckhage, Thomas Franke, Anja Naumann, 2009, INTERACT.

Combining Self Organizing Maps and Multilayer Perceptrons to Learn Bot-Behaviour for a Commercial Game

Christian Bauckhage, Gerhard Sagerer, Christian Thurau, 2003, GAME-ON.

Image retrieval and Web 2.0 — where can we go from here?

Christian Bauckhage, Tansu Alpcan, Robert Wetzker, 2008, 2008 15th IEEE International Conference on Image Processing.

An unsupervised hierarchical approach to document categorization

Christian Bauckhage, Tansu Alpcan, Sahin Albayrak, 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

An Active Memory Model for Cognitive Computer Vision Systems

Sven Wachsmuth, Christian Bauckhage, Sebastian Wrede, 2005, Künstliche Intell..

Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects

Sven Wachsmuth, Franz Kummert, Christian Bauckhage, 2000, Sensor Based Intelligent Robots.

Face recognition with weighted locally linear embedding

John K. Tsotsos, Christian Bauckhage, Nathan Mekuz, 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

A Purely Geometric Approach to Non-Negative Matrix Factorization

Christian Bauckhage, C. Bauckhage, 2014, LWA.

Some title

Christian Bauckhage, Fabian Hadiji, Kristian Kersting, 2021 .

Classification of Team Behaviors in Sports Video Games

Christian Bauckhage, Christian Thurau, Thomas Hettenhausen, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Integrated perception of cooperative human-machine interaction

Sven Wachsmuth, Franz Kummert, Christian Bauckhage, 2006 .

Memory consistency validation in a cognitive vision system

Christian Bauckhage, Marc Hanheide, Gerhard Sagerer, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Learning Human-Like Movement Behavior for Computer Games

Christian Bauckhage, Gerhard Sagerer, Christian Thurau, 2004 .

How Viral Are Viral Videos?

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

Reverse Indexing for Reading Graffiti Tags

Christian Bauckhage, Christian Thurau, 2010, 2010 20th International Conference on Pattern Recognition.

Network growth and the spectral evolution model

Christian Bauckhage, Damien Fay, Jérôme Kunegis, 2010, CIKM.

A Community Detection Based Approach for Exploring Patterns in Player Reviews

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

Fast learning for customizable head pose recognition in robotic wheelchair control

Christian Bauckhage, Thomas Käster, Andrei M. Rotenstein, 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

Cognitive Systems and Robotics

Christian Bauckhage, Jürgen Beyerer, Thomas Bauernhansl, 2019, Digital Transformation.

The Playtime Principle: Mining 5 Billion Hours of Play on Steam

Christian Bauckhage, Anders Drachen, S. Rafet, 2014 .

More influence means less work: fast latent dirichlet allocation by influence scheduling

Christian Bauckhage, Kristian Kersting, Anja Pilz, 2011, CIKM '11.

The Good, the Bad, and the Ugly: Predicting Aesthetic Image Labels

Christian Bauckhage, Christian Thurau, Yaowen Wu, 2010, 2010 20th International Conference on Pattern Recognition.

Dynamic Review-based Recommenders pdf

Christian Bauckhage, Kostadin Cvejoski, Ramses J. Sanchez, 2021, ArXiv.

Auto Encoding Explanatory Examples with Stochastic Paths

Christian Bauckhage, Kostadin Cvejoski, Bogdan Georgiev, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Learning Deep Generative Models for Queuing Systems

Christian Bauckhage, Kostadin Cvejoski, Bogdan Georgiev, 2021, AAAI.

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).

Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision pdf

Christian Bauckhage, Ribana Roscher, Anne-Katrin Mahlein, 2022, ArXiv.

Decision Snippet Features

Christian Bauckhage, Stefan Wrobel, Pascal Welke, 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.

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

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

Switching Dynamical Systems with Deep Neural Networks

Christian Bauckhage, Kostadin Cvejoski, Bogdan Georgiev, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

ALiBERT: improved automated list inspection (ALI) with BERT

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

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.

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving

Christian Bauckhage, Nico Piatkowski, Tim Wirtz, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

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.

Where am I ? – On Providing Gamebots with a Sense of Location Using Spectral Clustering of Waypoints

Christian Bauckhage, Verena V. Hafner, V. Hafner, 2006 .

Non-negative matrix factorization for the near real-time interpretation of absorption effects in elemental distribution images acquired by X-ray fluorescence imaging.

Christian Bauckhage, Kristian Kersting, Matthias Alfeld, 2016, Journal of synchrotron radiation.

The Weibull as a Model of Shortest Path Distributions in Random Networks

Christian Bauckhage, Kristian Kersting, Bashir Rastegarpanah, 2013 .

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

Christian Bauckhage, Rafet Sifa, César Ojeda, 2017 .

On the Scalability of Graph Kernels Applied to Collaborative Recommenders

Christian Bauckhage, Jérôme Kunegis, Andreas Lommatzsch, 2008 .

“Deep Phenotyping” of Early Plant Response to Abiotic Stress Using Non-invasive Approaches in Barley

Christian Bauckhage, Kristian Kersting, Lutz Plümer, 2013 .

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 .

Metro Maps of Plant Disease Dynamics—Automated Mining of Differences Using Hyperspectral Images

Christian Bauckhage, Kristian Kersting, Anne-Katrin Mahlein, 2015, PloS one.

Mining for Social Serendipity

Christian Bauckhage, Ciro Cattuto, Harith Alani, 2008 .

A Community-based Expert Finding System

Florian Metze, Christian Bauckhage, Tansu Alpcan, 2007 .