Prof. Dr. Christian Bauckhage

Christian Bauckhage ist Professor für Informatik (Intelligente lernende Systeme) an der Universität Bonn, Lead Scientist für Maschinelles Lernen am Fraunhofer IAIS un Co-Direktor des Lamarr-Instituts für Maschinelles Lernen und Künstliche Intelligenz. Nach erfolgreicher Promotion in Informatik an der Universität Bielefeld arbeitete er zunächst als PostDoc am Centre for Vision Research in Toronto und anschließend als Senior Research Scientist bei den Deutsche Telekom Laboratories in Berlin, bevor er 2008 nach Bonn berufen wurde. Seine Erfahrung im Bereich Data Science und Künstliche Intelligenz erstreckt sich bereits über mehr als 20 Jahre und begründet seine Rolle als renommierten KI-Experte und Referent auf Veranstaltungen, Messen und Tagungen. Aktuell befasst sich Prof. Bauckhage vor allem mit dem Thema Quantencomputing und den durch Quantencomputern entstehenden Möglichkeiten, bisher nahezu unlösbare Verfahren der Künstlichen Intelligenz und des Maschinellen Lernens zu erschließen.

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2023 A New Aligned Simple German Corpus
Toborek, Vanessa; Busch, Moritz; Boßert, Malte; Bauckhage, Christian; Welke, Pascal
Konferenzbeitrag
Conference Paper
2023 An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
Müller, Sebastian; Toborek, Vanessa; Beckh, Katharina; Jakobs, Matthias; Bauckhage, Christian; Welke, Pascal
Konferenzbeitrag
Conference Paper
2023 Automatic scoring of Rhizoctonia crown and root rot affected sugar beet fields from orthorectified UAV images using Machine Learning
Ispizua Yamati, Facundo Ramón; Günder, Maurice; Barreto Alcántara, Abel Andree; Bömer, Jonas; Laufer, Daniel; Bauckhage, Christian; Mahlein, Anne-Katrin
Zeitschriftenaufsatz
Journal Article
2023 Contradiction Detection in Financial Reports
Deußer, Tobias; Pielka, Maren; Pucknat, Lisa; Jacob, Basil; Dilmaghani, Tim; Nourimand, Mahdis; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2023 How Does Knowledge Injection Help in Informed Machine Learning?
Rüden, Laura von; Garcke, Jochen; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2023 Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models
Hillebrand, Lars Patrick; Berger, Armin; Deußer, Tobias; Dilmaghani, Tim; Khaled, Mohamed; Kliem, B.; Loitz, Rüdiger; Pielka, Maren; Leonhard, David; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2023 Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
Rueden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Walczak, Michal; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Garcke, Jochen; Bauckhage, Christian; Schuecker, Jannis
Zeitschriftenaufsatz
Journal Article
2023 Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021)
Bauckhage, Christian; Förstner, Wolfgang; Gall, Juergen; Möller, Michael; Schwing, Alexander Gerhard
Editorial
2023 Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models
Deußer, Tobias; Leonhard, David; Hillebrand, Lars Patrick; Berger, Armin; Khaled, Mohamed; Heiden, Sarah; Dilmaghani, Tim; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

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Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2022 Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision
Günder, Maurice; Ispizua Yamati, F.R.; Kierdorf, J.; Roscher, R.; Mahlein, A.K.; Bauckhage, Christian
Zeitschriftenaufsatz
Journal Article
2022 Anonymization of German financial documents using neural network-based language models with contextual word representations
Biesner, David; Ramamurthy, Rajkumar; Loitz, Rüdiger; Lübbering, Max; Hillebrand, Lars Patrick; Ladi, Anna; Stenzel, Robin; Pielka, Maren; Bauckhage, Christian; Sifa, Rafet
Zeitschriftenaufsatz
Journal Article
2022 Bounding open space risk with decoupling autoencoders in open set recognition
Lübbering, Max; Gebauer, M.; Ramamurthy, Rajkumar; Bauckhage, Christian; Sifa, Rafet
Zeitschriftenaufsatz
Journal Article
2022 Deep learning supports the differentiation of alcoholic and other-than-alcoholic cirrhosis based on MRI
Luetkens, J.A.; Nowak, S.; Mesropyan, N.; Block, W.; Praktiknjo, M.; Chang, J.; Bauckhage, C.; Sifa, Rafet; Sprinkart, A.M.; Faron, A.; Attenberger, U.
Zeitschriftenaufsatz
Journal Article
2022 Dynamic Review-based Recommenders
Cvejoski, Kostadin; Sánchez, Ramsés J.; Bauckhage, Christian; Ojeda, César
Konferenzbeitrag
Conference Paper
2022 From Open Set Recognition Towards Robust Multi-class Classification
Lübbering, Max; Gebauer, Michael; Ramamurthy, Rajkumar; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2022 Gradient Flows for L2 Support Vector Machine Training
Bauckhage, Christian; Schneider, Helen; Wulff, Benjamin; Sifa, Rafet
Paper
2022 Informed Pre-Training on Prior Knowledge
Rüden, Laura von; Houben, Sebastian; Cvejoski, Kostadin; Bauckhage, Christian; Piatkowski, Nico
Paper
2022 KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports
Hillebrand, Lars Patrick; Deußer, Tobias; Dilmaghani, Tim; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2022 KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
Deußer, Tobias; Ali, Syed Musharraf; Hillebrand, Lars Patrick; Nurchalifah, Desiana Dien; Jacob, Basil; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2022 Quantum Circuit Evolution on NISQ Devices
Franken, Lukas; Georgiev, Bogdan; Mücke, Sascha; Wolter, Moritz; Heese, Raoul; Bauckhage, Christian; Piatkowski, Nico
Konferenzbeitrag
Conference Paper
2022 Sicherheit von Quantum Machine Learning
Sultanow, Eldar; Bauckhage, Christian; Knopf, Christian; Piatkowski, Nico
Zeitschriftenaufsatz
Journal Article
2022 Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis
Biesner, David; Gerlach, Thore Thassilo; Bauckhage, Christian; Kliem, Bernd; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2022 Towards automating Numerical Consistency Checks in Financial Reports
Hillebrand, Lars Patrick; Deußer, Tobias; Dilmaghani, Tim; Kliem, Bernd; Loitz, Rüdiger; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2022 Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
Piatkowski, Nico; Gerlach, Thore Thassilo; Hugues, Romain; Sifa, Rafet; Bauckhage, Christian; Barbaresco, F.
Konferenzbeitrag
Conference Paper
2022 Towards Generating Financial Reports from Tabular Data Using Transformers
Chapman, Clayton; Hillebrand, Lars Patrick; Stenzel, Marc Robin; Deußer, Tobias; Biesner, David; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2022 What can we expect from Quantum (Digital) Twins?
Amir, Malik; Bauckhage, Christian; Chircu, Alina; Czarnecki, Christian; Knopf, Christian; Piatkowski, Nico; Sultanow, Eldar
Konferenzbeitrag
Conference Paper
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

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Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2021 ALiBERT: Improved automated list inspection (ALI) with BERT
Ramamurthy, Rajkumar; Pielka, Maren; Stenzel, Marc Robin; Bauckhage, Christian; Sifa, Rafet; Khameneh, Tim Dilmaghani; Warning, Ulrich; Kliem, Bernd; Loitz, Rüdiger
Konferenzbeitrag
Conference Paper
2021 An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks
Agombar, Rhys; Bauckhage, Christian; Lübbering, Max; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2021 Auto Encoding Explanatory Examples with Stochastic Paths
Ojeda, César; Sánchez, Ramsés J.; Cvejoski, Kostadin; Schücker, Jannis; Bauckhage, Christian; Georgiev, Bogdan
Konferenzbeitrag
Conference Paper
2021 Automatic Indexing of Financial Documents via Information Extraction
Ramamurthy, Rajkumar; Lübbering, Max; Bell , Thiago; Gebauer, Michael; Ulusay, Bilge; Uedelhoven, Daniel; Dilmaghani, Tim; Loitz, Rüdiger; Pielka, Maren; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2021 Decision Snippet Features
Welke, Pascal; Alkhoury, Fouad; Bauckhage, Christian; Wrobel, Stefan
Konferenzbeitrag
Conference Paper
2021 Decoupling Autoencoders for Robust One-vs-Rest Classification
Lübbering, Max; Gebauer, Michael; Ramamurthy, Rajkumar; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2021 Grundlagen des Maschinellen Lernens
Bauckhage, Christian; Hübner, Wolfgang; Hug, Ronny; Paaß, Gerhard; Rüping, Stefan
Aufsatz in Buch
Book Article
2021 Learning Deep Generative Models for Queuing Systems
Ojeda, César; Cvejoski, Kostadin; Georgiev, Bogdan; Bauckhage, Christian; Schücker, Jannis; Sánchez, Ramsés J.
Konferenzbeitrag
Conference Paper
2021 Performance of ECG-based seizure detection algorithms strongly depends on training and test conditions
Jahanbekam, A.; Baumann, J.; Nass, R.D.; Bauckhage, Christian; Hill, H.; Elger, C.E.; Surges, R.
Zeitschriftenaufsatz
Journal Article
2021 Street-Map Based Validation of Semantic Segmentation in Autonomous Driving
Rüden, Laura von; Wirtz, Tim; Hueger, Fabian; Schneider, Jan David; Piatkowski, Nico; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2021 Supervised autoencoder variants for end to end anomaly detection
Lübbering, Max; Gebauer, Michael; Ramamurthy, Rajkumar; Sifa, Rafet; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2021 Switching Dynamical Systems with Deep Neural Networks
Ojeda, César; Georgiev, Bogdan; Cvejoski, Kostadin; Schücker, Jannis; Bauckhage, Christian; Sánchez, Ramsés J.
Konferenzbeitrag
Conference Paper
2021 Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks
Pielka, Maren; Sifa, Rafet; Hillebrand, Lars Patrick; Biesner, David; Ramamurthy, Rajkumar; Ladi, Anna; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2021 tanh Neurons are Bayesian Decision Makers
Bauckhage, Christian; Sifa, Rafet; Hecker, Dirk
Konferenzbeitrag
Conference Paper
2021 Tiefe neuronale Netze
Bauckhage, Christian; Hübner, Wolfgang; Hug, Ronny; Paaß, Gerhard
Aufsatz in Buch
Book Article
2021 Towards Intelligent Food Waste Prevention: An Approach Using Scalable and Flexible Harvest Schedule Optimization with Evolutionary Algorithms
Günder, Maurice; Piatkowski, Nico; Rüden, Laura von; Sifa, Rafet; Bauckhage, Christian
Zeitschriftenaufsatz
Journal Article
2021 Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis
Lübbering, Max; Pielka, Maren; Das, Kajaree; Gebauer, Michael; Ramamurthy, Rajkumar; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2021 Utilizing Representation Learning for Robust Text Classification Under Datasetshift
Lübbering, Max; Gebauer, Michael; Ramamurthy, Rajkumar; Pielka, Maren; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2021 Vertrauenswürdiges, transparentes und robustes Maschinelles Lernen
Bauckhage, Christian; Fürnkranz, Johannes; Paaß, Gerhard
Aufsatz in Buch
Book Article
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

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Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2020 A Community Detection Based Approach for Exploring Patterns in Player Reviews
Pielka, Maren; Sifa, Rafet; Ramamurthy, Rajkumar; Ojeda, César; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2020 Adiabatic Quantum Computing for Max-Sum Diversification
Bauckhage, Christian; Sifa, Rafet; Wrobel, Stefan
Konferenzbeitrag
Conference Paper
2020 Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions
Rüden, Laura von; Mayer, Sebastian; Sifa, Rafet; Bauckhage, Christian; Garcke, Jochen
Konferenzbeitrag
Conference Paper
2020 Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents
Pielka, Maren; Ladi, Anna; Chapman, Clayton; Brito, Eduardo; Ramamurthy, Rajkumar; Mayer, Paul; Wahab, Abdul; Sifa, Rafet; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2020 From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders
Lübbering, Max; Ramamurthy, Rajkumar; Gebauer, Michael; Bell, Thiago; Sifa, Rafet; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2020 Guided Reinforcement Learning via Sequence Learning
Ramamurthy, Rajkumar; Sifa, Rafet; Lübbering, Max; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2020 Hopfield Networks for Vector Quantization
Bauckhage, Christian; Ramamurthy, Rajkumar; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2020 Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM
Hillebrand, Lars Patrick; Biesner, David; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2020 Leveraging Contextual Text Representations for Anonymizing German Financial Documents
Biesner, David; Ramamurthy, Rajkumar; Lübbering, Max; Fürst, Benedikt; Ismail, H.; Hillebrand, Lars Patrick; Ladi, Anna; Pielka, Maren; Stenzel, Robin; Khameneh, Tim Dilmaghani; Krapp, V.; Huseynov, I.; Schlums, J.; Stoll, U.; Warning, U.; Kliem, B.; Bauckhage, Christian; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2020 Matrix- and Tensor Factorization for Game Content Recommendation
Sifa, Rafet; Yawar, Raheel; Ramamurthy, Rajkumar; Bauckhage, Christian; Kersting, Kristian
Zeitschriftenaufsatz
Journal Article
2020 Method and device for determining deformation of an object
Baumann, Daniel; Möller, Ronja; Vonolfen, Wolfgang; Hecker, Dirk; Bauckhage, Christian
Patent
2020 Novelty Discovery with Kernel Minimum Enclosing Balls
Sifa, Rafet; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2020 Novelty-Guided Reinforcement Learning via Encoded Behaviors
Ramamurthy, Rajkumar; Sifa, Rafet; Lübbering, Max; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2020 Patterns and Outliers in Temporal Point Processes
Ojeda, César; Cvejoski, Kostadin; Sifa, Rafet; Schücker, Jannis; Bauckhage, Christian
Konferenzbeitrag
Conference Paper
2020 Problem Solving with Hopfield Networks and Adiabatic Quantum Computing
Bauckhage, Christian; Sánchez, Ramsés J.; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2020 Quantum Machine Learning. Eine Analyse zu Kompetenz, Forschung und Anwendung
Bauckhage, Christian; Brito, Eduardo; Daase, Inga; Franken, Lukas; Georgiev, Bogdan; Hecker, Dirk; Paschke, Adrian; Piatkowski, Nico; Soddemann, Thomas; Trabold, Daniel
Studie
Study
2020 Recurrent Point Review Models
Cvejoski, Kostadin; Sánchez, Ramsés J.; Georgiev, Bogdan; Bauckhage, Christian; Ojeda, César
Konferenzbeitrag
Conference Paper
2020 Shells within Minimum Enclosing Balls
Bauckhage, Christian; Bortz, Michael; Sifa, Rafet
Konferenzbeitrag
Conference Paper
2020 Towards Map-Based Validation of Semantic Segmentation Masks
Rüden, Laura von; Wirtz, Tim; Hueger, Fabian; Schneider, Jan David; Bauckhage, Christian
Vortrag
Presentation
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica

C. Bauckhage and R. Sifa. Joint Selection of Central and Extremal Prototypes Based on Kernel Minimum Enclosing Balls, Proc. IEEE Int. Conf.  on  Data Science and Advanced Analytics, 2019

C. Bauckhage, R. Sifa, and T. Dong. Prototypes within Minimum Enclosing Balls, Proc. Int. Conf on Artificial Neural Networks, 2019

T. Dong, Z. Wang, J. Li, C. Bauckhage, and A.B. Cremers. Triple Classification Using Regions and Fine-grained Entity Typing, Proc. AAAI Conf. on Artificial Intelligence, 2019

C. Bauckhage, E. Brito, K. Cvejoski, C. Ojeda, J. Schücker, and R. Sifa. Towards Shortest Paths Via Adiabatic Quantum Computing. Proc. Mining and Learning with Graphs, 2018

B. Wulff, J. Schücker, and C. Bauckhage. SPSA for Layer-wise Training of Deep Networks, Proc. Int. Conf on Artificial Neural Networks, 2018

R. Sifa and C. Bauckhage. Online k-Maxoids Clustering. Proc. IEEE Int. Conf.  on  Data Science and Advanced Analytics,  2017
 
C. Bauckhage. A Neural Network Implementation of Frank-Wolfe Optimization. Proc. Int. Conf on Artificial Neural Networks, 2017
 
R. Ramamurthy, C. Bauckhage, K. Buza, and S. Wrobel. Using Echo State Networks for Cryptography. Proc. Int. Conf on Artificial Neural Networks, 2017
 
C. Ojeda, K. Cvejoski, R. Sifa, C. Bauckhage. Inverse Dynamical Inheritance in Stack Exchange Taxonomies. Proc. AAAI Int. Conf. on Web and Social media, 2017

C. Bauckhage and K. Kersting. Collective Attention on the Web. Foundations and Trends in Web Science 5(1-2), 2016

M. Neumann, R. Garnett, C. Bauckhage, and K. Kersting. Propagation kernels: efficient graph kernels from propagated information. Machine Learning 102(2), 2016

M. Höhne, A. Jahanbekam, C. Bauckhage, N. Axmacher, and J. Fell. Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information. NeuroImage 139, 2016

S. Zhang, D.A. Klein, C. Bauckhage, and A.B. Cremers. Fast Moving Pedestrian Detection Based on Motion Segmentation and New Motion Features. Multimedia Tools and Applications, 2015

S. Zhang, C. Bauckhage, and A.B. Cremers. Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model. IEEE Trans. Intelligent Transportation Systems, 16(2), 2015

C. Bauckhage, F. Hadiji, and K. Kersting. How Viral Are Viral Videos?. Proc. AAAI Int. Conf. on Weblogs and Social Media, 2015

C. Bauckhage, K. Kersting, and B. Rastegarpanah. Collective Attention to Social Media Evolves According to Diffusion Models. Proc. ACM Int. World Wide Web Conf., 2014

C. Bauckhage and K. Manshaei. Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series. Proc. IAPR Int. Conf. on Pattern Recognition, IEEE, 2014

C. Bauckhage, K. Kersting, and F. Hadiji. Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes. Proc. AAAI Int. Conf. on Weblogs and Social Media, 2013

C. Bauckhage and K. Kersting. Can Computers Learn from the Aesthetic Wisdom of the Crowd? KI - Künstliche Intelligenz, 27(1), 2013

C. Bauckhage and K. Kersting. Data Mining and Pattern Recognition in Agriculture. KI - Künstliche Intelligenz, 27(4), 2013

G. Evangelidis and C. Bauckhage. Efficient Subframe Video Alignment using Short Descriptors. IEEE Trans. Pattern Analysis and Machine Intelligence, 35(10), 2013

C. Bauckhage, K. Kersting, and A. Schmit. Agriculture's Technological Makeover. IEEE Pervasive Computing, 11(2), 2012

C. Thurau, K. Kersting, M. Wahabzada, and C. Bauckhage. Descriptive Matrix Factorization for Sustainability: Adopting the Principle of Opposites. Data Mining and Knowledge Discovery, 24(2), 2012

B. Krausz and C. Bauckhage. Loveparade 2010: Automatic video analysis of a crowd disaster. Computer Vision and Image Understanding, 116(3), 2012

C. Bauckhage. Insights into Internet Memes. Proc. AAAI Int. Conf. on Weblogs and Social Media, 2011

C. Thurau, K. Kersting, M. Wahabzada, and C. Bauckhage. Convex Non-negative Matrix Factorization for Massive Datasets. Knowledge and Information Systems, 29(2), 2011

C. Thurau, K. Kersting, and C. Bauckhage. Yes We Can: Simplex Volume Maximization for Descriptive Web-scale Matrix Factorization. Proc. ACM Conf. on Information and Knowledge Management, 2010

R. Wetzker, C. Zimmermann, C. Bauckhage, and S. Albayrak. I Tag, You Tag: Translating Tags for Advanced User Models. Proc. ACM Int. Conf. on Web Search and Data Mining, 2010

C. Bauckhage and C. Thurau. Making Archetypal Analysis Practical, Proc. DAGM Symposium, 2009

J. Kunegis, A. Lommatzsch, and C. Bauckhage. The Slashdot Zoo: Mining a Social Network with Negative Edges. Proc. ACM Int. World Wide Web Conf., 2009

C. Bauckhage, J.K. Tsotsos, and F.E. Bunn. Automatic Detection of Abnormal Gait. Image and Vision Computing, 27(1-2), 2009