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Keywords:
- Artificial Neural Networks
- Bayesian Networks
- clustering
- Computational Intelligence
- continuous data
- dynamic graphs
- EEG
- Enron dataset
- ensemble detection
- Evolutionary Algorithms
- Fuzzy Systems
- Hebbian learning
- multidimensional scaling
- Neural Networks
- neuroimaging
- neuroscience
- point processes
- social network analysis
- spike train
- spike train analysis
Publications of Christian Borgelt
2016
| , , , and , Computational Intelligence - A Methodological Introduction, Springer, 2016 |
| , , , and , Memory-efficient analysis of dense functional connectomes (2016), in: Frontiers in neuroinformatics Lausanne Frontiers Research Foundation, 10 2016 12 Bd. 10.2016, Art.-Nr. 50, insges. 12 S. |
2015
| and , Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie (2015), in: Informatik-Spektrum, 38:6(490-499) |
| , , , , and , Computational Intelligence: Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze, Springer Vieweg, 2015 |
| , , and , Handling Noise and Outliers in Fuzzy Clustering, in: Fifty Years of Fuzzy Logic and its Applications, pages 315-335, Springer International Publishing, 2015 |
| , , and , Mining Frequent Parallel Episodes with Selective Participation, in: 16th World Congress of the International Fuzzy Systems Association (IFSA) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Atlantis Press, 2015 |
2013
| , , , and , Advanced Analysis of Dynamic Graphs in Social and Neural Networks, in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pages 205--222, Springer, 2013 |
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| , and , Behavioral Clustering for Point Processes, in: Advances in Intelligent Data Analysis XII, pages 127-137, Springer Berlin Heidelberg, 2013 |
| , , , , and , Computational Intelligence: A Methodological Introduction, Springer, Texts in Computer Science, 2013 |
| , and , Mining Local Connectivity Patterns in fMRI Data., in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pages 305--317, Springer Berlin Heidelberg, 2013 |
| and , Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony, in: EUSFLAT-13, Atlantis Press, 2013 |
| , , and , Unsicheres und vages Wissen, in: Handbuch der Künstlichen Intelligenz, pages 235-296, De Gruyter, 2013 |
2012
| , and , Assembly Detection in Continuous Neural Spike Train Data, in: Advances in Intelligent Data Analysis XI, pages 78-89, Springer Berlin / Heidelberg, 2012 |
| , , and , New Algorithms for Finding Approximate Frequent Item Sets (2012), in: Soft Computing - A Fusion of Foundations, Methodologies and Applications, 16:2(903-917) |
2011
| , , , , and , Computational Intelligence: Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze, Vieweg+Teubner, Computational Intelligence, 2011 |
| , and , Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing, in: Advances in Intelligent Data Analysis X, pages 55-66, Springer Berlin / Heidelberg, 2011 |
2009
| and , Constraining Shape and Size in Clustering, in: Cooperation in Classification and Data Analysis, pages 13--25, Springer, 2009 |
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| , and , Graphical Models: Representations for Learning, Reasoning and Data Mining, Wiley, 2009 |
2007
| and , An Extended Objective Function for Prototype-less Fuzzy Clustering, in: Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007), pages 146--151, 2007 |
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| , , , and , The role of soft computing in intelligent data analysis, in: Final program and abstracts of the 2007 IEEE International Conference on Fuzzy Systems, pages 9--17, 2007 |
2006
| , , and , A Framework for Discovering Interesting Business Changes from Data (2006), in: BT Technology Journal, 24:2(219--228) |
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| and , Finding the Number of Fuzzy Clusters by Resampling, in: Proc. 16th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'06, Vancouver, Canada), IEEE Press, Piscataway, NJ, USA, 2006 |
| , , , and , From Data and Information Analysis to Knowledge Engineering, Springer, 2006 |
| and , Section 3.4: Artificial Intelligence Methods, in: CIGR Handbook of Agricultural Engineering Volume VI: Information Technology, pages 153--168, American Society of Agricultural and Biological Engineers (ASABE), 2006 |
2005
| , and , Effects of Irrelevant Attributes in Fuzzy Clustering, in: Proc. 14th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'05, Reno, NV), CD-ROM, pages 862--866, IEEE Press, 2005 |
| From Data and Information Analysis to Knowledge Engineering --- Proc.\ 29th Ann.\ Conf.\ of the German Classification Society (GfKl 2005, Magdeburg, Germany), Springer-Verlag, 2005 |
| and , Fuzzy and Probabilistic Clustering with Shape and Size Constraints, in: Proc. 11th Int. Fuzzy Systems Association World Congress (IFSA'05, Beijing, China), pages 945--950, Tsinghua University Press and Springer-Verlag, 2005 |
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| , and , Fuzzy Learning Vector Quantization with Size and Shape Parameters, in: Proc. 15th IEEE Int. Conf. on Fuzzy Systems, 2005 (FUZZ-IEEE'05, Reno, NV), CD-ROM, pages 195--200, IEEE Press, 2005 |
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| , and , Mining Fuzzy Frequent Item Sets, in: Proc.\ 11th Int.\ Fuzzy Systems Association World Congress (IFSA'05, Beijing, China), pages 528--533, Tsinghua University Press and Springer-Verlag, 2005 |
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| and , Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits, in: Proc. 8th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'05, Barcelona, Spain), pages 100--110, Springer-Verlag, 2005 |
2004
| , , , and , An Extension to Possibilistic Fuzzy Cluster Analysis (2004), in: Fuzzy Sets and Systems, 147(3--16) |
| , , and , An Extension to Possibilistic Fuzzy Cluster Analysis (2004), in: Fuzzy Sets and Systems, 147(3--16) |