Talks

Please note that the material in this site is for personal use only; the included material is partially property of third parties, parts of the images included in talks are taken from the internet.

• B.Hammer, Structure processing networks, Cognitive Science, Uni Osnabrück (talk)

• B.Hammer, Integrate and Fire neurons, Cognitive Science, Uni Osnabrück (talk)

• B.Arnonkijpanich, B.Hammer, Global corrdination based on matrix neural gas for dynamic texture synthesis, ANNPR10 (talk)

• B.Hammer, A.Hasenfuss, Clustering very large dissimilarity datasets, ANNPR10 (talk)

• B.Hammer, Discriminatice matrix learning and data visualization, FH Mittweida, 09 (talk)

• B.Hammer, Prototype based adaptation, University of Osnabrück, 09 (talk)

• B.Hammer, Structure processing networks, Technical University of Dresden, 09 (talk)

• B.Hammer, Structure processing networks, University of Bielefeld, 09 (talk)

• B.Hammer, Haben Sie auch so viele Daten?, IFI-Sommerfest'09(talk)

• B.Arnonkipanich, B.Hammer, A.Hasenfuss,C.Lursinsap, Matrix learning for topographic neural maps, ICANN'2008 (talk)

• N.Alex, B.Hammer, Parallelizing single pass patch clustering, ESANN'2008 (talk)

• B. Hammer, Recent developments for prototype-based systems Informatik, Lübeck, 2007, (talk)

• B. Hammer, New developments for recurrent neural systems MPI Physik Komplexer Systeme, Dresden, 2007, (talk)

• B.Hammer, A.Hasenfuss, F.Rossi, M.Strickert, Topographic processing of relational data, WSOM 2007 (talk)

• N.Alex, B.Hammer, F.Klawonn, Single pass clustering for large data sets WSOM 2007 (talk)

• B.Hammer, Recent advances in prototype based clustering and classification, Honda R&D, Offenbach, 2007, (talk)

• B. Hammer, New developments for recurrent neural systems University of Ulm, 2007 (talk)

• B. Hammer, Recent Advances of LVQ International seminar Lessach, 2007 (talk)

• B.Hammer, Clustering and visualization of relational data, Dagstuhl seminar on Statistical relational machine learning, 2007, (talk)

• B. Hammer, Neuroinformatics, IK Guenne, 2007, (talk1, talk2, talk3, talk4, talk5)

• B. Hammer, T. Villmann, Prototype based classification and clustering, Doctorate course helt at Univ. Louvain la Neuve, 2007 (Part of the talk given by B.Hammer: part1, part2, part3)

• B. Hammer, Clinical proteomics beyond combinatorial optimization, Symposium on Combinatorial optimization and applications, Osnabrück, 2007 (talk)

• B.Hammer, Median and relational neural gas, Dagstuhl seminar on Prototype based clustering and its application in medicine and bioinformatics, 2007, (talk)

• B. Hammer, Recent advances in clustering, Computer Science, RU Groningen, 2007 (talk)

• B. Hammer, Maschinelles Lernen für Strukturen, Informatik, Universität Freiburg, 2007 (talk)

• B.Hammer, Quo vadis Informatik? Maschinelles Lernen Dagstuhl Perspektiven-Seminar Quo vadis Informatik, 2006, (talk)

• B. Hammer, Machine Learning using Prototype-based Methods, Japanese-German Frontiers of Science Conference 2006, Alexander von Humboldt Foundation (talk)

  B.Hammer, Machine learning on structures - recursive neural networks, International seminar Lessach 2006, (talk)

• B. Hammer, Prototypen, Kostenfunktionen und Relevanzlernen, Informatik, Universität Stuttgart, 2005 (talk)

• B. Hammer, P. Hitzler, Connectionist Knowledge Representation and Reasoning Tutorial at KI'05, Koblenz, (Intro, Part 1)

• M.Cottrell, B.Hammer, A.Hasenfuß, T.Villmann, Batch NG WSOM'05, (talk)

• B.Hammer, A.Micheli, N.Neubauer, A.Sperduti, M.Strickert, Self Organizing Maps for Time Series, WSOM'05, (talk)

• B.Hammer, T.Bojer, M.Strickert, T.Villmann, Relevance Determination in Learning Vector Quantization, Université Paris I, (talk)

• B.Hammer, A.Micheli, A.Sperduti, Supervised Recursive Networks, Université Paris I, (talk)

• B.Hammer, A.Micheli, A.Sperduti, M.Strickert, Recursive Self-Organizing Maps for Structures, Université Paris I, (talk)

• B.Hammer, A.Rechtien, M.Strickert, T.Villmann, Rule Extraction from Prototype-based Classifiers, Université Paris I, (talk)

• B.Hammer, A.Micheli, A.Sperduti, M.Strickert, Recursive unsupervised neural networks for sequence processing, Institut für Theoretische Physik, Universität Kiel, 2005 (talk)

• B.Hammer, T.Bojer, E. Merenyi, F.Schleif, G.Singh Mrok, M.Strickert, T.Villmann, Data processing with neural networks, ISAS Dortmund, 2004 (talk)

• B.Hammer, T.Bojer, M.Strickert, T.Villmann, A.Sperduti, A.Micheli, Self-organizing learning for non-standard data, Ruhr-Universität Bochum, 2004 (talk)

• B.Hammer, B.J.Jain, Neural methods for non-standard data, ESANN'04 (talk)

• B.Hammer, T.Bojer, E.Merenyi, M.Strickert, T.Villmann, Datenverarbeitung mit Neuronalen Netzen, LLG, 2004 (talk)

• B.Hammer et al., Lernende Software, Reihe IT meets Science, 2004 (talk, Folien)

• B.Hammer, Neuronale Netze für nicht-standard Daten, Universität Dortmund, 2003 (talk)

• B.Hammer, Neuronale Netze für strukturierte Daten, Habilitationsvortrag, (talk), 2003

• B.Hammer, Ein Streifzug durch strukturverarbeitende Neuronale Netze, Universität Karlsruhe, (talk), 2003

• B.Hammer, Ant Colony Optimization, Habilitationsvortrag, (talk), 2003

• B.Hammer, Cascade Correlation für Strukturen, Habilitationsvortrag, (talk), 2003

• B.Hammer, A.Micheli, A.Sperduti, M.Strickert, Recursive Self-Organizing Networks, University of Birmingham, 2003 (talk)

• B.Hammer, T.Bojer, M.Strickert, T.Villmann, Relevance learning,
  - University of Birmingham, 2003 (talk)
  - RU Groningen, 2004 (talk)

• B.Hammer, Selbstorganisierende Neuronale Netze für Nicht-standard Daten, Universität Siegen (talk), 2003

• B.Hammer, T.Villmann, Tutorial: mathematical aspects of neural networks, ESANN'03, Bruges, Belgium, 2003 (talk)

• K.Gersmann, B.Hammer, Improving iterative repair strategies for scheduling with the SVM, ESANN'03, Bruges, Belgium, 2003 (poster)

• T.Bojer, B.Hammer C.Koers, Monitoring technical systems with prototype based clustering, ESANN'03, Bruges, Belgium, 2003 (poster)

• B.Hammer, P. Tino, Architectural bias in recurrent neural networks, (talk)

• B. Hammer, Neuronale Netze für strukturierte Daten, Universität des Saarlandes (talk)

• B. Hammer, M. Strickert, A. Micheli, A. Sperduti, Recursive neural networks for structured data, FB Informatik, Technische Universität Berlin (talk)

• B. Hammer, Selbstorganisierende Neuronale Verfahren für heterogene Daten, Technische Universität Clausthal (talk)

• B. Hammer, A.Rechtien, M. Strickert, Self-Organizing Neural Networks and Rule Extraction, Symposium on Logic and Creaticity, Cognitive Science, University of Osnabrück (poster,flyer)

• B. Hammer, Strukturverarbeitende Neuronale Netze, FB Mathematik, Universität Bielefeld, (talk)

• P. Tino, B. Hammer, Architectural Bias in Recurrent Neural Networks - Fractal analysis, ICANN'02, Madrid, Spain, 2002 (talk)

• B. Hammer, M. Strickert, T. Villmann, Learning Vector Quantization for Multimodal Data, ICANN'02, Madrid, Spain, 2002 (talk)

• B. Hammer, A. Rechtien, M. Strickert, T. Villmann, Rule Extraction from Self-Organizing Networks, ICANN'02, Madrid, Spain, 2002 (poster)

• T. Bojer, K. Gersmann, B. Hammer, A. Rechtien, M. Strickert, and external contributors, Perspektiven des Selbstorganisierenden Lernens, dies academicus, Universität Osnabrück, 2002 (sorry, only powerpoint, gzip-version, alte Version)

• B. Hammer, Self-Organizing Networks for Structural Data, 8th Annual German-American Forntiers of Science Meeting, Irvine, U.S.A., 2002 (poster a0, poster a1)

• B. Hammer, T. Villmann, Batch-RLVQ, ESANN'02, Bruges, Belgium, 2002 (talk)

• B. Hammer, J.J. Steil, Perspectives on learning with recurrent neural networks, ESANN'02, Bruges, Belgium, 2002 (talk)

• B.Hammer, A.Micheli, A.Sperduti, A proposal for a general framework for unsupervised learning in structured domains,
  - 3rd APoDS meeting, Department of Computer Science, University of Pisa, Italy, 2001 (talk)
  - Arbeitsgruppe Neuroinformatik, Universität Bielefeld, 2002

• B.Hammer, T.Bojer, A.Rechtien, M.Strickert, T.Villmann, Relevance determination in self-organizing neural networks, Department of Computer Science, University of Siena, Italy, 2001 (talk)

• B. Hammer, On the generalization ability of recurrent networks, ICANN'01, Vienna, Austria, 2001 (poster)

• B. Hammer, Processing structured data with recurrent neural networks, MPI für Mathematik in den Naturwissenschaften, Leipzig, 2001 (talk)

• B. Hammer, T. Villmann, Input pruning for neural gas architectures, ESANN'01, Bruges, Belgium, 2001 (talk)

• T. Bojer, B. Hammer, D. Schunk, K. Tluk von Toschanowitz, Relevance determination in learning vector quantization, ESANN'01, Bruges, Belgium, 2001 (talk)

• B. DasGupta, B. Hammer, On approximate learning by multi-layered feedforward circuits, ALT-2000, Sydney, Australia, 2000 (talk)

• B. Hammer, Perspectives on learning symbolic data with connectionistic systems, workshop at ZIF, Perspectives on Adaptivity and Learning, Bielefeld, 2000 (talk)

• B. Hammer, Approximation and generalization issues of recurrent networks dealing with structured data, ECAI-2000 workshop, Foundations of connectionistic-symbolic integration: representation, paradigms, and algorithms, Berlin, 2000 (talk)

• B. Hammer, Complexity results for perceptron networks, CO'2000, London, United Kingdom, 2000 (talk)

• B. Hammer, Neural networks classifying symbolic data, ICML-2000 workshop, Stanford, U.S.A., in L. de Raedt, S. Kramer (eds.): Proceedings of the ICML-2000 Workshop on Attribute-Value and Relational Learing: Crossing the Boundaries, 61-65, 2000 (talk)

• B. Hammer, Limitations of hybrid systems, ESANN'00, Bruges, Belgium, 2000 (poster, spotlight)

• B. Hammer, Complexity results for neural network training, CAIR, Bangalore, India, 2000 (talk)

• B. Hammer, Contributions to distribution dependent learnability, CAIR, Bangalore, India, 2000 (talk)

• B. Hammer, Folding networks - neural networks for structured data,
  - CAIR, Bangalore, India, 2000 (talk)
  - Department of Computer Science, Rutgers University, U.S.A., 1999 (talk)

• B. Hammer, Folding Netze - Neuronale Netze für strukturierte Daten,
  - Institut für Informatik, Universität Freiburg, 2000
  - Institut für Neuroinformatik, Ruhr-Universität Bochum, 1999
  - Institut für Logik, Komplexität und Deduktionssysteme, Universität Karlsruhe, 1999 (talk)
  - Arbeitsgruppe Neuroinformatik, Universität Bielefeld, 1999 (talk)
  

• B. Hammer, Approximation capabilities of folding networks, ESANN'99, Bruges, Belgium, 1999 (talk)

• B. Hammer, On the approximation capability of recurrent neural networks, NC'98, Vienna, Austria, 1998 (talk), (Best session presentation award)

• B. Hammer, Some complexity results for perceptron networks, ICANN'98, Skövde, Sweden, 1998 (poster)

• B. Hammer, Training a sigmoidal network is difficult, ESANN'98, Bruges, Belgium, 1998 (talk)

• B. Hammer, On the generalization of Elman networks, ICANN '97, Lausanne, Switzerland, 1997,

• B. Hammer, Lernen mit rekurrenten Netzen, Abteilung Neuroinformatik, Universität Ulm, 1997,

• B. Hammer, V. Sperschneider, Neural networks can approximate mappings on structured objects, ICCIN '97, Research Triangle Park, U.S.A., 1997