C. Bauckhage

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

Gradient-free quantum optimization on NISQ devices

C. Bauckhage, N. Piatkowski, M. Wolter, 2020, ArXiv.

Clustering Game Behavior Data

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

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.

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

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

Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls

Rafet Sifa, Christian Bauckhage, C. Bauckhage, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Convex non-negative matrix factorization for massive datasets

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

Triple Classification Using Regions and Fine-Grained Entity Typing

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

Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions

Rafet Sifa, Sebastian Mayer, Jochen Garcke, 2020, IDA.

Network growth and the spectral evolution model

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

Content-based image retrieval by multimodal interaction

G. Sagerer, C. Bauckhage, T. Kaster, 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).

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

Christian Bauckhage, Zeynep Akata, Christian Thurau, 2011 .

Computing the Kullback-Leibler Divergence between two Weibull Distributions pdf

Christian Bauckhage, C. Bauckhage, 2013, ArXiv.

Problem Solving with Hopfield Networks and Adiabatic Quantum Computing

Rafet Sifa, Christian Bauckhage, Ramses Sanchez, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

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.

Efficient and Robust Alignment of Unsynchronized Video Sequences

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

Descriptive matrix factorization for sustainability Adopting the principle of opposites

K. Kersting, C. Bauckhage, Christian Thurau, 2012, Data Mining and Knowledge Discovery.

Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization

Yejin Choi, Hannaneh Hajishirzi, C. Bauckhage, 2022, ArXiv.

Informed Haar-Like Features Improve Pedestrian Detection

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

On the Scalability of Graph Kernels Applied to Collaborative Recommenders

Christian Bauckhage, Jérôme Kunegis, Andreas Lommatzsch, 2008 .

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

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

A New Aligned Simple German Corpus

C. Bauckhage, Pascal Welke, Vanessa Toborek, 2022, ArXiv.

Propagation kernels: efficient graph kernels from propagated information

R. Garnett, K. Kersting, C. Bauckhage, 2016, Machine Learning.

Context Free Grammars and Semantic Networks for Flexible Assembly Recognition

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

Modeling Sensation for an Intelligent Virtual Agent's Perception Process

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

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

Christian Bauckhage, C. Bauckhage, 2007, CAIP.

Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants

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

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

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

Quantum Circuit Evolution on NISQ Devices

C. Bauckhage, N. Piatkowski, R. Heese, 2020, 2022 IEEE Congress on Evolutionary Computation (CEC).

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

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

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

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

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

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

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).

Game Data Mining

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

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).

Is Bayesian Imitation Learning the Route to Believable Gamebots

Christian Bauckhage, Tobias Paczian, Christian Thurau, 2004 .

Predicting Emerging Trends in Citation Networks

Christian Bauckhage, Stefan Wrobel, César Ojeda, 2018 .

Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes

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

Max-Sum Dispersion via Quantum Annealing

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

Adiabatic Quantum Computing for Kernel k=2 Means Clustering

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

Learning Deep Generative Models for Queuing Systems

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

Pathfinding in Games

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

Learning Human-Like Movement Behavior for Computer Games

Christian Bauckhage, Gerhard Sagerer, Christian Thurau, 2004 .

Detecting abnormal gait

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

Automatic detection of abnormal gait

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

Matrix- and Tensor Factorization for Game Content Recommendation

K. Kersting, C. Bauckhage, R. Sifa, 2019, KI - Künstliche Intelligenz.

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.

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

Christian Bauckhage, Kristian Kersting, Matthias Alfeld, 2014 .

Loveparade 2010: Automatic video analysis of a crowd disaster

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

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).

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).

Integrating Lateral Swaying of Pedestrians into Simulations

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

Cognitive Aspects of Traffic Simulations in Virtual Environments

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

Efficient Pose-Based Action Recognition

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

Shells within Minimum Enclosing Balls

Michael Bortz, Rafet Sifa, Christian Bauckhage, 2020, 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA).

Performance of ECG‐based seizure detection algorithms strongly depends on training and test conditions

C. Bauckhage, C. Elger, R. Surges, 2021, Epilepsia open.

Group Evolution Patterns in World of Warcraft

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

Recurrent Point Processes for Dynamic Review Models

Ramsés J. Sánchez, C. Bauckhage, Jannis Schuecker, 2019, ArXiv.

Towards Contradiction Detection in German: a Translation-Driven Approach

Rajkumar Ramamurthy, Anna Ladi, Lars Hillebrand, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis

C. Bauckhage, R. Sifa, Thore Gerlach, 2022, International Conference on Machine Learning and Applications.

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..

Hopfield Networks for Vector Quantization

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

Towards Automated Auditing with Machine Learning

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

ALiBERT: improved automated list inspection (ALI) with BERT

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

Moving pedestrian detection based on motion segmentation

A. B. Cremers, Shanshan Zhang, C. Bauckhage, 2013, 2013 IEEE Workshop on Robot Vision (WORV).

Propagation Kernels pdf

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

Recurrent Adversarial Service Times pdf

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

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.

Predicting player churn in the wild

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

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

D. A. Klein, A. Cremers, Shanshan Zhang, 2016, Multimedia Tools and Applications.

Large-Scale Cross-Game Player Behavior Analysis on Steam

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

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

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

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

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

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

Christian Bauckhage, Kristian Kersting, Bashir Rastegarpanah, 2013 .

How Does Knowledge Injection Help in Informed Machine Learning?

Laura von Rueden, C. Bauckhage, J. Garcke, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

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).

Dynamic Review-based Recommenders

Ramsés J. Sánchez, C. Bauckhage, C. Ojeda, 2021, ArXiv.

A New Aligned Simple German Corpus

C. Bauckhage, Pascal Welke, Vanessa Toborek, 2022, ACL.

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

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

Adiabatic Quantum Computing for Max-Sum Diversification

Stefan Wrobel, Rafet Sifa, Christian Bauckhage, 2020, SDM.

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).

Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction

Tiansi Dong, Armin B. Cremers, Hailong Jin, 2018, ICLR.

Marginalizing over the PageRank Damping Factor pdf

Christian Bauckhage, C. Bauckhage, 2014, ArXiv.

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).

NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks pdf

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

Malware Detection on Mobile Devices Using Distributed Machine Learning

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

Switching Dynamical Systems with Deep Neural Networks

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

Online k-Maxoids Clustering

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

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 .

Data Mining and Pattern Recognition in Agriculture

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

A Purely Geometric Approach to Non-Negative Matrix Factorization

Christian Bauckhage, C. Bauckhage, 2014, LWA.

The slashdot zoo: mining a social network with negative edges

C. Bauckhage, Jérôme Kunegis, A. Lommatzsch, 2009, WWW.

The visual active memory perspective on integrated recognition systems

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

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

Christian Bauckhage, Rafet Sifa, Eduardo Brito, 2017 .

An Efficient Ontology-Based Expert Peering System

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

An unsupervised hierarchical approach to document categorization

C. Bauckhage, T. Alpcan, S. Albayrak, 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

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.

Supervised Autoencoder Variants for End to End Anomaly Detection

C. Bauckhage, Max Lübbering, M. Gebauer, 2020, ICPR Workshops.

The slashdot zoo: mining a social network with negative edges

C. Bauckhage, Jérôme Kunegis, A. Lommatzsch, 2009, WWW '09.

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

C. Bauckhage, Max Lübbering, Maren Pielka, 2021, International Journal of Data Science and Analytics.

Cognitive Agents for Microscopic Traffic Simulations in Virtual Environments

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

Towards a Vision System for Supervising Assembly Processes

Franz Kummert, Christian Bauckhage, Jannik Fritsch, 1999 .

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.

Predicting Purchase Decisions in Mobile Free-to-Play Games

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

QUBOs for Sorting Lists and Building Trees

C. Bauckhage, N. Piatkowski, Thore Gerlach, 2022, ArXiv.

Recurrent Point Review Models

Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Learning Syllogism with Euler Neural-Networks pdf

Tiansi Dong, Armin B. Cremers, Chengjiang Li, 2020, ArXiv.

Synthesizing Movements for Computer Game Characters

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

Learning Human-Like Opponent Behavior for Interactive Computer Games

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

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

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

Controlled Randomness Improves the Performance of Transformer Models

C. Bauckhage, R. Sifa, Tobias Deußer, 2023, ArXiv.

ML2R Coding Nuggets AdaBoost with Pre-Trained Hypotheses

C. Bauckhage, 2022 .

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

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

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

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

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

Christian Bauckhage, Gerhard Sagerer, Christian Thurau, 2003 .

Informed Named Entity Recognition Decoding for Generative Language Models

C. Bauckhage, R. Sifa, L. Hillebrand, 2023, ArXiv.

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

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

Learning and Game AI

Hector Muñoz-Avila, Clare Bates Congdon, Graham Kendall, 2013, Artificial and Computational Intelligence in Games.

Modeling Collaborative Similarity with the Signed Resistance Distance Kernel

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

Intelligent Navigation in Image Databases

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

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.

Can Computers Learn from the Aesthetic Wisdom of the Crowd?

K. Kersting, C. Bauckhage, 2013, KI - Künstliche Intelligenz.

Using Echo State Networks for Cryptography

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

Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series

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

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.

Early Identification of Plant Stress in Hyperspectral Images

John D. Behman, K. Kersting, C. Bauckhage, 2015 .

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

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

Chapter 12: Game Data Mining

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

Patterns and Outliers in Temporal Point Processes

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

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

Christian Bauckhage, Rafet Sifa, César Ojeda, 2017 .

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

Zeynep Akata, C. Bauckhage, Christian Thurau, 2011 .

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

Christian Bauckhage, C. Bauckhage, 2014, ArXiv.

Hierarchical Convex NMF for Clustering Massive Data

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

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.

Convex Non-negative Matrix Factorization in the Wild

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

Convex NMF on Non-Convex Massiv Data

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

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

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

Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM

Rafet Sifa, Lars Patrick Hillebrand, David Biesner, 2020, CD-MAKE.

Action Recognition in Videos Using Nonnegative Tensor Factorization

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

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.