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 sorted by title
F
| , , , and , From Data and Information Analysis to Knowledge Engineering, Springer, 2006 |
| 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 Cluster Analysis with Cluster Repulsion, in: Proc. Of the 1st International Workshop on Hybrid Methods for Adaptive Systems (EUNITE ´01), 2001 |
| , , and , Fuzzy Cluster Analysis with Cluster Repulsion, in: Proc.\ European Symposium on Intelligent Technologies, Hybrid Systems and Their Implementation on Smart Adaptive Systems (eunite'01, Puerto de la Cruz, Tenerife, Spain), Verlag Mainz, 2001 |
| , and , Fuzzy Clustering of Quantitative and Qualitative Data, in: Proc.\ Conf.\ North American Fuzzy Information Processing Society (NAFIPS 2004, Banff, Alberta, Canada), pages 84--89, IEEE Press, 2004 |
| , and , Fuzzy Data Analysis: Challenges and Perspectives, in: Proceedings of the 8th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE '99, Seoul, South Korea), pages 1211--1216, IEEE Press, 1999 |
| , 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 , Fuzzy-Methoden in der Datenanalyse, in: {F}uzzy-{T}heorie und {S}tochastik, pages 370--386, Vieweg, 1999 |
G
| and , Graphical Models - Methods for Data Analysis and Mining, Wiley, 2002 |
| , and , Graphical Models: Representations for Learning, Reasoning and Data Mining, Wiley, 2009 |
H
| , , and , Handling Noise and Outliers in Fuzzy Clustering, in: Fifty Years of Fuzzy Logic and its Applications, pages 315-335, Springer International Publishing, 2015 |
I
| , and , Inference Methods, chapter F1.2, Institute of Physics Publishing, Handbook of Fuzzy Computation, 1998 |
| , and , Inference Methods, in: Handbook of Fuzzy Computation, Institute of Physics Publishing, 1998 |
| and , Information Mining: Editorial (2003), in: Int.\ Journal of Approximate Reasoning, 32(63--65) |
K
| , , and , Knowledge Revision in Markov Networks (2004), in: Mathware \{&} Soft Computing, 11:2-3(93--107) |
L
| , , and , Learning from Imprecise Data: Possibilistic Graphical Models (2002), in: Computational Statistics and Data Analysis, 38(449--463) |
| and , Learning from Imprecise Data: Possibilistic Graphical Models, in: Proc.\ Int.\ Meeting on Nonlinear Methods and Data Mining (NMDM 2000), pages 190--203, Consiglio Nazionale delle Ricerche, 2000 |
| and , Learning Graphical Models by Extending Optimal Spanning Trees, in: Intelligent Systems for Information Processing --- From Representation to Applications, pages 339--348, Elsevier, 2003 |
| and , Learning Graphical Models by Extending Optimal Spanning Trees IPMU'02, in: Annecy, 2002 |
| and , Learning Graphical Models with Hypertree Structure Using a Simulated Annealing Approach, in: Proc.\ 10th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'01, Melbourne, Australia), IEEE Press, 2001 |
| , and , Learning Possibilistic Graphical Models from Data (2003), in: IEEE Transaction Fuzzy Systems, 11:2(159--172) |
| and , Learning probabilistic and possibilistic networks: Theory and applications, in: Proc. 7th International Fuzzy Systems Association World Congress (IFSA'97), pages 19--24, 1997 |
| , , , and , Lernen probabilistischer and possibilistischer Netze aus Daten: Theorie und Anwendung (1998), in: KI-Themenheft Data Mining(11--17) |
| and , Local Structure Learning in Graphical Models, in: Planning based on Decision Theory (Proc.\ 6th Int.\ Workshop, Udine, Italy 2002), pages 99--118, Springer-Verlag, 2003 |
M
| , , , 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. |
| , , 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 |
| , 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 |
|
| , 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 |
N
| and , Neuere Entwicklungen im Data Mining mit Bayesschen Netzen, in: Seminar zu Anwendungen von Fuzzy-Technologien und Neuronalen Netzen (Wernigerode, Germany), MIT GmbH, 1998 |
| , , and , Neuro-Fuzzy-Systeme --- Von den Grundlagen künstlicher Neuronaler Netze zu modernen Fuzzy-Systemen, Vieweg, 2003 |
| , , and , New Algorithms for Finding Approximate Frequent Item Sets (2012), in: Soft Computing - A Fusion of Foundations, Methodologies and Applications, 16:2(903-917) |
O
| and , Operations and Evaluation Measures for Learning Possibilistic Graphical Models (2003), in: Artificial Intelligence, 148(385--418) |
P
| , and , Possibilistic Graphical Models, in: Proc. ISSEK'98 (Udine, Italy), 1998 |
| , and , Possibilistic Graphical Models, in: Computational Intelligence in Data Mining (Proc.\ 3rd Int.\ Workshop, Udine, Italy), pages 51--68, Springer-Verlag, 2000 |