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 title
 | 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-534 |
I
| and , Information Mining with Fuzzy Methods: Trends and Current Challenges, in: Proc. Methods and Models in Automation and Robotics Information (MMAR'02), pages 117--120, 2002 | 
| and , Information Mining with Semi-Supervised Learning, Springer, Soft Methodology and Random Information Systems, 2004 | 
| and , Information Mining: Applications in Image Processing, in: SOFSEM2000: Theory and Practice of Informatics, pages 266--285, Springer, 2000 | 
| and , Information Mining: Editorial (2003), in: Int.\ Journal of Approximate Reasoning, 32(63--65) | 
| Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications., Springer, Communications in Computer and Information Science, volume 81, 2010 | 
| Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods., Springer, Communications in Computer and Information Science, volume 80, 2010 | 
| and , Information Source Modelling for Consistent Data Fusion, in: Proc. of the International Conference on Multisource-Multisensor Information Fusion (FUSION'98), pages 27--34, CSREA Press, 1998 | 
| , and , Informationsfusion in Neuro-Fuzzy-Systemen, in: Informationsfusion in der Mess- und Sensortechnik, pages 113--125, Universitätsverlag Karlsruhe, 2006 | 
| , and , Intelligent Data Analysis - An International Journal, IOSPress, 2004 | 
| , , and , Intelligent Data Analysis with Fuzzy Decision Trees, in: Soft Computing for Information Mining (Workshop Proceedings 27th German Conference on Artificial Intelligence), 2004 | 
| , , and , Intelligent data analysis with fuzzy decision trees (2007), in: Soft Computing: A Fusion of Foundations, Methodologies and Applications, 11:5(439--457) | 
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| , Intelligente Systeme: Wie geht man mit unvollkommenen Informationen um?, in: Universitätsschriften, Magdeburg, Otto-von-Guericke-Universität, 1998 | 
| , , , , and , Interactive Text Retrieval Based on Document Similarities (2000), in: Physics and Chemistry of the Earth(649--654) | 
| , and , Interpretation und Analyse von Fuzzy Daten, in: Proc. DGOR, 1991 | 
| and , Interpreting Changes in the Fuzzy Sets of a Self-Adaptive Neural Fuzzy Controller, in: Proc.\ Second Int.\ Workshop on Industrial Applications of Fuzzy Control and Intelligent Systems (IFIS'92), pages 146--152, 1992 | 
| and , Interpreting Changes in the Membership Functions of a Self Adaptive Neural Fuzzy Controller, in: Proc. 2nd Int. Workshop Industrial Applications of Fuzzy Control and Intelligent Systems, 1992 | 
K
| and , Kernel-based outlier preserving clustering, in: Information-Mining und Wissensmanagement in Wissenschaft und Wirtschaft - 8. Göttinger Symposium Soft Computing, Universität Göttingen, 2005 | 
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| KI2003: Advances in Artificial Intelligence, Springer, 2003 | 
| , , 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 in Neuro-Fuzzy Systems with Symbolic Attributes and Missing Values, in: Proc. Sixth International Conference on Information Processing (ICONIP99), pages 142--147, Perth, 1999 | 
| and , Learning methods for fuzzy systems, in: Proc. 8th International Symposium on Non-Linear Electromagnetic Systems 1997 (ISEM'97), 1997 | 
| and , Learning Methods for Fuzzy Systems, in: Proc. of the 8th International Symposium on Non-Linear Electromagnetic Systems 1997 (ISEM'97), pages 367--372, IOS-Press, 1998 | 
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| and , Learning Methods for Fuzzy Systems, in: Proc.\ Fuzzy--Neuro--Systeme'95, pages 7--22, 1995 | 
| , , , and , Learning of lane information reliability for intelligent vehicles, in: 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pages 142-147, 2016 | 
| and , Learning Possibilistic Graphical Models, in: Proc. 3rd European Congress on Fuzzy and Intelligent Technologies (EUFIT'95), pages 74--76, 1995 | 
| , and , Learning Possibilistic Graphical Models from Data (2003), in: IEEE Transaction Fuzzy Systems, 11:2(159--172) | 
| and , Learning Possibilistic Networks from Data, pages 143--153, Springer, Learning from Data, Artificial Intelligence and Statistics 5, Le, volume 112, 1996 | 
| and , Learning Possibilistic Networks from Data, in: Proc. 5th International Workshop on Artificial Intelligence and Statistics, pages 233--244, 1995 | 
| and , Learning Possibilistic Networks from Data, in: Proceedings of FUZZ-IEEE / IFES '95, pages 1575--1580, 1995 | 
| 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 , Learning Verifiable Ensembles for Classification Problems with High Safety Requirements, in: Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2009 | 
| Learning, Networks and Statistics., Springer, 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 | 
| , and , Logical Approaches to Uncertainty and Vagueness in the View of the Context Model, in: Proc. IEEE International Conference on Fuzzy Systems, 1992 | 
M
| , and , M-Estimator induced Fuzzy Clustering Algorithms, in: Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011) and LFA-2011, European Society for Fuzzy Logic and Technology (EUSFLAT), Aix-Le-Bains, France, pages 298--304, Atlantis Press, 2011 | 
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| and , Machine Learning Methods for Spatial Clustering on Precision Agriculture Data, in: Eleventh Scandinavian Conference on Artificial Intelligence, pages 40--49, IOS Press, 2011 | 
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| , , , , and , Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (2009), in: at -- Automatisierungstechnik, 57:3(138-145) | 
| and , Mass Distributions on L-Fuzzy Sets and Families of Frames of Discernment, pages 239--250, Wiley, Advances in Dempster-ShaferTheory of Evidence, 1994 | 
| Mathematical and Statistical Methods in AI, Springer, 1995 | 
| , and , Mdspolar: A new approach for dimension reduction to visualize high dimensional data, in: Advances inIntelligent Data Analysis VI - Proc. of the 6th Int. Symp. on IDA 2005, Berlin, Heidelberg, pages 316--327, Springer, 2005 | 
| and , Measures of Nonspecificity for Decomposing Possibility Distributions, in: Proc. Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS '96), pages 177--179, 1996 | 
| , , , 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 changing customer segments in dynamic markets (2009), in: Expert Systems with Applications, 36:1(155--164) | 
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| , , 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 |