Keywords:
- aggregation methods
 - Air Traffic Management
 - Artificial Neural Networks
 - Assembly
 - assembly detection
 - Automobile Industry
 - Bayesian Networks
 - bibtex-import
 - Binary Classification
 - biology computing
 - brain
 - Brain modeling
 - Classification
 - Classification models
 - clustering
 - Computational Intelligence
 - data analysis
 - Data Mining
 - Data Visualization
 - dynamic graphs
 - dynamic networks
 - EEG
 - elctroencephalography
 - Electric potential
 - Electrodes
 - Enron dataset
 - Evolutionary Algorithms
 - feature extraction
 - Feature Selection
 - Frequent Pattern Mining
 - frequent temporal patterns
 - Fuzzy c-means
 - Fuzzy classifiers
 - Fuzzy clustering
 - Fuzzy Control
 - Fuzzy Data Analysis
 - Fuzzy decision trees
 - fuzzy logic
 - Fuzzy neural network
 - Fuzzy rule learning
 - Fuzzy Rules
 - fuzzy SVM
 - Fuzzy Systems
 - industrial application
 - Information Fusion
 - Intelligent data analysis
 - Interpolation
 - Interpretability
 - knowledge acquisition
 - Knowledge Representation
 - Labeling
 - Linguistic description
 - Luftverkehrssysteme
 - M-estimators
 - Machine Learning
 - Mamdani Control
 - Markov networks
 - MDSpolar
 - Monotonicity Constraints
 - Motif Discovery
 - multidimensional scaling
 - Multiple prototypes
 - Multiple-Instance Learning
 - Multivariate Time Series Analysis
 - neural assemblies online detection
 - neural nets
 - Neural Networks
 - Neuro-fuzzy system
 - neurobiologists
 - neurobiology
 - neuroimaging
 - neuron activation
 - Neurons
 - neuroscience
 - Noise clustering
 - online algorithms
 - Outlier detection
 - Pattern Recognition
 - point processes
 - POLARMAP
 - Precision Agriculture
 - Prediction
 - Random Sets
 - Real-time systems
 - Regression
 - Robust statistics
 - Safety-Related Systems
 - Sammon's Mapping
 - SMPS2012
 - social network analysis
 - spike train analysis
 - spike trains behavior
 - spike-time hypothesis
 - stream analysis
 - Support Vector Machine
 - Support Vector Regression. Multidimensional Scaling
 - Trajectory
 - vector autoregressive model
 - Visual Data Analysis
 - Visualization
 
Publications of Rudolf Kruse sorted by first author
 | 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-534 |
A
| , , , , , , , , , and , Fusion: General Concepts and Characteristics (2001), in: Intl. J. of Intelligent Systems, 10(1107--1134) | 
B
| , , and , Possibilistic Inference and Data Fusion, in: Proc. Second European Congress on Fuzzy and Intelligent Technologies (EUFIT'94), pages 46--47, 1994 | 
| and , Editor's foreword (2010), in: Computer and System Sciences, 76:1(1-2) | 
| , and , Fuzzy Logic in Computer Science, chapter 16, pages 385--419, Springer Science+Business Media, 2011 | 
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| , and , Intelligent Data Analysis - An International Journal, IOSPress, 2004 | 
| Advances in Intelligent Data Analysis V --- Proc.\ 5th Int.\ Symp.\ on Intelligent Data Analysis (IDA2003, Berlin, Germany), Springer-Verlag, 2003 | 
| , , , and , Ensemble Learning for Multi-source Information Fusion, pages 123-141, Springer, volume 275, 2010 | 
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| , , , and , Ensemble Learning for Multi-source Information Fusion, in: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Heidelberg, pages 748--756, Springer, 2009 | 
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| , , and , Special issue on soft computing for information mining [editorial] (2007), in: Soft Computing: A Fusion of Foundations, Methodologies and Applications, 11:5(397--399) | 
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| , , 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 , Unsicheres und vages Wissen, in: Handbuch der Künstlichen Intelligenz, pages 235-296, De Gruyter, 2013 | 
| , , and , Learning from Imprecise Data: Possibilistic Graphical Models (2002), in: Computational Statistics and Data Analysis, 38(449--463) | 
| , and , Inference Methods, chapter F1.2, Institute of Physics Publishing, Handbook of Fuzzy Computation, 1998 | 
| , and , Possibilistic Graphical Models, in: Proc. ISSEK'98 (Udine, Italy), 1998 | 
| , and , Concepts for Probabilistic and Possibilistic Induction of Decision Trees on Real World Data, in: Proc.\ 4th European Congress on Intelligent Techniques and Soft Computing (EUFIT'96, Aachen, Germany), pages 1556--1560, Verlag Mainz, 1996 | 
| , , and , Probabilistische graphische Modelle und ihre Anwendung in der Automobilindustrie (2004), in: Datenbank Spektrum - Zeitschrift für Datenbanktechnologie, 4:9 | 
| , , , and , Lernen probabilistischer and possibilistischer Netze aus Daten: Theorie und Anwendung (1998), in: KI-Themenheft Data Mining(11--17) | 
| , and , Possibilistic Graphical Models, in: Computational Intelligence in Data Mining (Proc.\ 3rd Int.\ Workshop, Udine, Italy), pages 51--68, Springer-Verlag, 2000 | 
| , and , Inference Methods, in: Handbook of Fuzzy Computation, Institute of Physics Publishing, 1998 | 
| , and , Fuzzy-Methoden in der Datenanalyse, in: {F}uzzy-{T}heorie und {S}tochastik, pages 370--386, Vieweg, 1999 | 
| and , Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie (2015), in: Informatik-Spektrum, 38:6(490-499) | 
| 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 , 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 , 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 | 
| 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 , Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering, in: Proc.\ 8th European Conf.\ on Principles and Practice of Knowledge Discovery in Databases (PKDD 2004, Pisa, Italy), pages 52--62, Springer-Verlag, 2004 | 
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| and , Speeding Up Fuzzy Clustering with Neural Network Techniques, in: Proc.\ 12th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'03, St.~Louis, MO, USA), IEEE Press, 2003 | 
| and , Operations and Evaluation Measures for Learning Possibilistic Graphical Models (2003), in: Artificial Intelligence, 148(385--418) | 
| and , Graphical Models - Methods for Data Analysis and Mining, Wiley, 2002 | 
| 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 , Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen (2001), in: {K}ünstliche Intelligenz, {T}hemenheft Unsicherheit und {V}agheit, 15:3(5--8) | 
| 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 , A Critique of Inductive Causation, in: Proc. 5th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99, London, United Kingdom), pages 68--79, Springer-Verlag, 1999 | 
| and , Possibilistic Networks with Local Structure, in: Proc.\ 6th European Congress on Intelligent Techniques and Soft Computing (EUFIT'98, Aachen, Germany), pages 634--638, Verlag Mainz, 1998 | 
| and , Possibilistic Networks: Data Mining Applications, in: Proc.\ 6th European Congress on Intelligent Techniques and Soft Computing (EUFIT'98, Aachen Germany), pages 603--607, Verlag Mainz, 1998 | 
| 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 , Efficient Maximum Projection of Database-Induced Multivariate Possibility Distributions, in: Proc.\ 7th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'98, Anchorage, AK), pages 663--668, IEEE Press, 1998 | 
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| 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 , An Empirical Investigation of the K2 Metric, in: Proc.\ 6th European Conf.\ on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'01, Toulouse, France), pages 240--251, Springer-Verlag, 2001 | 
| 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 , Probabilistic Networks for Abductive Inference, Kluwer, Abductive Reasoning and Learning, 2000 | 
| and , Abductive Inference with Probabilistic Networks, in: Abductive Reasoning and Learning, Kluwer, 2000 | 
| and , Probabilistic and Possibilistic Networks and How to Learn Them from Data, in: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications, pages 403--426, Springer-Verlag, 1998 | 
| and , Probabilistic and Possibilistic Networks and How to Learn Them from Data, Springer, NATO ASI Series 7, 1997 | 
| and , Data Mining with Possibilistic Graphical Models, pages 229--248, IOS Press, Nato Science Series III, Systematic Organisation of Information, volume 184, 2003 | 
| 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 | 
| and , Attributauswahlmaße für die Induktion von Entscheidungsbäumen: Ein Überblick, pages 77--98, Physica-Verlag, Data Mining: Theoretische Aspekte und Anwendungen, 1998 | 
| and , Constraining Shape and Size in Clustering, in: Cooperation in Classification and Data Analysis, pages 13--25, Springer, 2009 | 
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| 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 |