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Christian Bauckhage

Christian Bauckhage

D-Index & Metrics

Computer Science

D-Index
50
Citations
12365
World Ranking
5540
National Ranking
257

Overview

Christian Bauckhage is affiliated with the University of Bonn in Germany and has a research focus primarily in computer science. Their work spans several subfields, including artificial intelligence, plant science, statistical and nonlinear physics, management science and operations research, as well as computer vision and pattern recognition.

The scientist's research topics cover a broad spectrum within computer science, with particular attention to:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Stock Market Forecasting Methods
  • Quantum Computing Algorithms and Architecture
  • Neural Networks and Applications
  • Advanced Text Analysis Techniques
  • Smart Agriculture and AI

Bauckhage has contributed publications to multiple respected venues, featuring predominantly in:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft)
  • International Journal of Data Science and Analytics
  • Proceedings of the AAAI Conference on Artificial Intelligence

Their notable recent papers include:

  • "Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems" (2021), published in IEEE Transactions on Knowledge and Data Engineering
  • "Insights into Internet Memes" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization" (2022), published on arXiv (Cornell University)
  • "A Comparison of Methods for Player Clustering via Behavioral Telemetry" (2022), published on arXiv (Cornell University)

Frequent coauthors in Bauckhage's research work include:

  • Rafet Sifa
  • Lars Hillebrand
  • Rajkumar Ramamurthy
  • Nico Piatkowski
  • Maurice Günder

In addition to journal and conference papers, Bauckhage has contributed to book publications with Springer Science+Business Media and Springer Nature. These include:

  • Pattern Recognition (2021)
  • Quantum Computing from Hopfield Nets (projected for 2025)

The scientist's body of work reflects a consistent engagement with advanced computational methods, integrating prior knowledge into machine learning systems, analysis of internet phenomena such as memes, and applications of quantum computing concepts. Their multidisciplinary approach intersects various aspects of artificial intelligence and data science, contributing to both theoretical foundations and applied research in these fields.

Best Publications

  • Evaluation of Interest Point Detectors

    Cordelia Schmid;Roger Mohr;Christian Bauckhage

  • Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

    Laura von Rueden;Sebastian Mayer;Katharina Beckh;Bogdan Georgiev

  • The slashdot zoo: mining a social network with negative edges

    Jérôme Kunegis;Andreas Lommatzsch;Christian Bauckhage

  • Comparing and evaluating interest points

    C. Schmid;R. Mohr;C. Bauckhage

  • Informed Haar-Like Features Improve Pedestrian Detection

    Shanshan Zhang;Christian Bauckhage;Armin B. Cremers

  • Insights into Internet Memes

    Christian Bauckhage

  • Propagation kernels: efficient graph kernels from propagated information

    Marion Neumann;Roman Garnett;Christian Bauckhage;Kristian Kersting

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

    Anders Drachen;Rafet Sifa;Christian Bauckhage;Christian Thurau

  • Loveparade 2010: Automatic video analysis of a crowd disaster

    Barbara Krausz;Christian Bauckhage

  • Predicting player churn in the wild

    Fabian Hadiji;Rafet Sifa;Anders Drachen;Christian Thurau

  • Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis

    Christoph Römer;Mirwaes Wahabzada;Agim Ballvora;Francisco Pinto

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

    Unknown

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

    Laura von Rueden;Sebastian Mayer;Rafet Sifa;Christian Bauckhage

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

    Robert Wetzker;Carsten Zimmermann;Christian Bauckhage;Sahin Albayrak

  • Clustering Game Behavior Data

    Christian Bauckhage;Anders Drachen;Rafet Sifa

  • Metro maps of plant disease dynamics--automated mining of differences using hyperspectral images.

    Mirwaes Wahabzada;Anne-Katrin Mahlein;Christian Bauckhage;Ulrike Steiner

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

    Mirwaes Wahabzada;Anne-Katrin Mahlein;Christian Bauckhage;Ulrike Steiner

  • Learning Human-Like Movement Behavior for Computer Games

    Christian Thurau;Christian Bauckhage;Gerhard Sagerer

  • 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

  • Predicting Purchase Decisions in Mobile Free-To-Play Games

    Rafet Sifa;Fabian Hadiji;Julian Runge;Anders Drachen

  • Malware Detection on Mobile Devices Using Distributed Machine Learning

    Ashkan Sharifi Shamili;Christian Bauckhage;Tansu Alpcan

  • Game Data Mining

    Anders Drachen;Anders Drachen;Christian Thurau;Julian Togelius;Georgios N. Yannakakis;Georgios N. Yannakakis

Frequent Co-Authors

Kristian Kersting
Kristian Kersting Technical University of Darmstadt
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Anders Drachen
Anders Drachen University of Southern Denmark
Tansu Alpcan
Tansu Alpcan University of Melbourne
Stefan Wrobel
Stefan Wrobel University of Bonn
John K. Tsotsos
John K. Tsotsos York University
Armin B. Cremers
Armin B. Cremers University of Bonn
Uwe Rascher
Uwe Rascher Forschungszentrum Jülich
Florian Metze
Florian Metze Carnegie Mellon University
Sahin Albayrak
Sahin Albayrak Technical University of Berlin

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