Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarRudolf Kruse
Person information
- affiliation: Otto von Guericke University Magdeburg, Faculty of Computer Science
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2010 – today
- 2019
[j65]Inés Couso, Christian Borgelt, Eyke Hüllermeier, Rudolf Kruse:
Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Comp. Int. Mag. 14(1): 31-44 (2019)- 2018
- [j64]Tran Tuan Nguyen, Jens Spehr, Sebastian Zug, Rudolf Kruse:
Multisource Fusion for Robust Road Detection Using Online Estimated Reliabilities. IEEE Trans. Industrial Informatics 14(11): 4927-4939 (2018) - [c128]Gabriella Pasi, Rudolf Kruse, Marco Viviani:
Introduction to the Minitrack on Soft Computing: Methods and Applications. HICSS 2018 - [c127]Alexander Dockhorn, Max Frick, Ünal Akkaya, Rudolf Kruse:
Predicting Opponent Moves for Improving Hearthstone AI. IPMU (2) 2018: 621-632 - [c126]Tran Tuan Nguyen, Jens Spehr, Dominik Vock, Marcus Baum, Sebastian Zug, Rudolf Kruse:
A General Reliability-Aware Fusion Concept Using DST and Supervised Learning with Its Applications in Multi-Source Road Estimation. Intelligent Vehicles Symposium 2018: 597-604 - [c125]Alexander Dockhorn, Tim Tippelt, Rudolf Kruse:
Model Decomposition for Forward Model Approximation. SSCI 2018: 1751-1757 - 2017
- [j63]Richard Weber, Cristián Bravo, Rudolf Kruse, Sebastián Maldonado:
Special issue "Applied soft computing for business analytics". Appl. Soft Comput. 60: 750-751 (2017) - [c124]Alexander Dockhorn, Rudolf Kruse:
Combining cooperative and adversarial coevolution in the context of pac-man. CIG 2017: 60-67 - [c123]Tran Tuan Nguyen, Jens Spehr, Jian Xiong, Marcus Baum, Sebastian Zug, Rudolf Kruse:
Online reliability assessment and reliability-aware fusion for Ego-Lane detection using influence diagram and Bayes filter. MFI 2017: 7-14 - [c122]Tran Tuan Nguyen, Jens Spehr, Jian Xiong, Marcus Baum, Sebastian Zug, Rudolf Kruse:
A survey of performance measures to evaluate ego-lane estimation and a novel sensor-independent measure along with its applications. MFI 2017: 239-246 - [c121]Alexander Dockhorn, Christoph Doell, Matthias Hewelt, Rudolf Kruse:
A decision heuristic for Monte Carlo tree search doppelkopf agents. SSCI 2017: 1-8 - [c120]Tim Sabsch, Christian Braune, Alexander Dockhorn, Rudolf Kruse:
Using a multiobjective genetic algorithm for curve approximation. SSCI 2017: 1-6 - 2016
- [b10]Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher:
Computational Intelligence - A Methodological Introduction, Second Edition. Texts in Computer Science, Springer 2016, ISBN 978-1-4471-7294-9, pp. 1-551 - [j62]Christoph Reichert, Stefan Dürschmid, Rudolf Kruse, Hermann Hinrichs:
An Efficient Decoder for the Recognition of Event-Related Potentials in High-Density MEG Recordings. Computers 5(2): 5 (2016) - [j61]Kristian Loewe, Sarah E. Donohue, Mircea Ariel Schoenfeld, Rudolf Kruse, Christian Borgelt:
Memory-Efficient Analysis of Dense Functional Connectomes. Front. Neuroinform. 2016 (2016) - [c119]Pascal Held, Rudolf Kruse:
Detecting overlapping community hierarchies in dynamic graphs. ASONAM 2016: 1063-1070 - [c118]Pascal Held, Benjamin Krause, Rudolf Kruse:
Dynamic Clustering in Social Networks Using Louvain and Infomap Method. ENIC 2016: 61-68 - [c117]Rudolf Kruse, Gabriella Pasi, Jose Maria Alonso:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2016: 1710 - [c116]Christian Braune, Marco Dankel, Rudolf Kruse:
Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm. IDA 2016: 61-72 - [c115]Pascal Held, Rudolf Kruse:
Online Fuzzy Community Detection by Using Nearest Hubs. IPMU (2) 2016: 678-689 - [c114]Tran Tuan Nguyen, Jens Spehr, Matthias Uhlemann, Sebastian Zug, Rudolf Kruse:
Learning of lane information reliability for intelligent vehicles. MFI 2016: 142-147 - [c113]
- [c112]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Detecting Inconsistencies in Revision Problems. SMPS 2016: 439-446 - [c111]Christian Braune, Rudolf Kruse:
Fuzzy density based clustering with generalized centroids. SSCI 2016: 1-7 - [c110]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
Variable density based clustering. SSCI 2016: 1-8 - [c109]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Decomposable Graphical Models on Learning, Fusion and Revision. WCSC 2016: 439-452 - [i4]Pascal Held, Rudolf Kruse:
Online Community Detection by Using Nearest Hubs. CoRR abs/1601.06527 (2016) - [i3]Pascal Held, Benjamin Krause, Rudolf Kruse:
Dynamic Clustering in Social Networks using Louvain and Infomap Method. CoRR abs/1603.02413 (2016) - 2015
- [j60]Frank Klawonn, Rudolf Kruse, Roland Winkler:
Fuzzy clustering: More than just fuzzification. Fuzzy Sets and Systems 281: 272-279 (2015) - [j59]Christian Borgelt, Rudolf Kruse:
Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie. Informatik Spektrum 38(6): 490-499 (2015) - [j58]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On Merging and Dividing Social Graphs. J. Artif. Intell. Soft Comput. Res. 5(1): 23 (2015) - [c108]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Prototype Based Fuzzy Clustering Algorithms in High-Dimensional Feature Spaces. A Passion for Fuzzy Sets 2015: 233-243 - [c107]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Towards Better Explanations. ECSQARU 2015: 257-266 - [c106]Pascal Held, Alexander Dockhorn, Benjamin Krause, Rudolf Kruse:
Clustering Social Networks Using Competing Ant Hives. ENIC 2015: 67-74 - [c105]Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse:
Mining Frequent Parallel Episodes with Selective Participation. IFSA-EUSFLAT 2015 - [c104]Rudolf Kruse, Gabriella Pasi, Jose Maria Alonso:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2015: 1472-1473 - [c103]Christian Braune, Martin Glauer, Rudolf Kruse:
Towards Online Detection of Neural Assemblies in Parallel Spike Trains. HICSS 2015: 1503-1511 - [c102]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Creating Useful Explanations. HICSS 2015: 3712-3718 - [c101]
- [c100]Salatiel Ezennaya-Gomez, Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse:
Handling Selective Participation in Neuron Assembly Detection. IJCCI (Selected Papers) 2015: 386-406 - [c99]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
An Alternating Optimization Approach Based on Hierarchical Adaptations of DBSCAN. SSCI 2015: 749-755 - [c98]Raphael Moura, Christoph Doell, Michael Beer, Rudolf Kruse:
A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors. SSCI 2015: 1838-1843 - [p9]Christian Moewes, Ralf Mikut, Rudolf Kruse:
Fuzzy Control. Handbook of Computational Intelligence 2015: 269-283 - [p8]Christian Borgelt, Christian Braune, Marie-Jeanne Lesot, Rudolf Kruse:
Handling Noise and Outliers in Fuzzy Clustering. Fifty Years of Fuzzy Logic and its Applications 2015: 315-335 - 2014
- [c97]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On merging and dividing of Barabási-Albert-graphs. EALS 2014: 17-24 - [c96]Andreas Meier, Mark Gonter, Rudolf Kruse:
Symbolic Regression for Precrash Accident Severity Prediction. HAIS 2014: 133-144 - [c95]Rudolf Kruse:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2014: 1334 - [c94]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
Generating Events for Dynamic Social Network Simulations. IPMU (2) 2014: 46-55 - [c93]Christian Braune, Stephan Besecke, Rudolf Kruse:
Using Changes in Distribution to Identify Synchronized Point Processes. SMPS 2014: 241-248 - 2013
- [b9]Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held:
Computational Intelligence - A Methodological Introduction. Texts in Computer Science, Springer 2013, ISBN 978-1-4471-5012-1, pp. I-XI, 1-490 - [j57]María Angeles Gil, Gil González-Rodríguez, Rudolf Kruse:
Editorial of the special issue "Statistics with Imperfect Data". Inf. Sci. 245: 1-3 (2013) - [c92]Andreas Meier, Mark Gonter, Rudolf Kruse:
Accelerating convergence in cartesian genetic programming by using a new genetic operator. GECCO 2013: 981-988 - [c91]Fabian Schmidt, Jan Wendler, Jörg Gebhardt, Rudolf Kruse:
Handling Inconsistencies in the Revision of Probability Distributions. HAIS 2013: 598-607 - [c90]Rudolf Kruse:
Introduction to Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2013: 1384 - [c89]
- [c88]Christian Braune, Christian Borgelt, Rudolf Kruse:
Behavioral Clustering for Point Processes. IDA 2013: 127-137 - [c87]Christian Moewes, Rudolf Kruse:
The Effects of Edge Weights on Correlating Dynamical Networks - Comparing Unweighted and Weighted Brain Graphs of nervus opticus Patients. IJCCI 2013: 279-284 - [c86]Christoph Reichert, Matthias Kennel, Rudolf Kruse, Hans-Jochen Heinze, Ulrich Schmucker, Hermann Hinrichs, Jochem W. Rieger:
Robotic Grasp Initiation by Gaze Independent Brain-controlled Selection of Virtual Reality Objects. NEUROTECHNIX 2013: 5-12 - [c85]Christoph Reichert, Matthias Kennel, Rudolf Kruse, Hermann Hinrichs, Jochem W. Rieger:
Efficiency of SSVEF Recognition from the Magnetoencephalogram - A Comparison of Spectral Feature Classification and CCA-based Prediction. NEUROTECHNIX 2013: 233-237 - [p7]Roland Winkler, Frank Klawonn, Rudolf Kruse:
A New Distance Function for Prototype Based Clustering Algorithms in High Dimensional Spaces. Statistical Models for Data Analysis 2013: 371-378 - [p6]Christian Moewes, Rudolf Kruse:
Evolutionary Fuzzy Rules for Ordinal Binary Classification with Monotonicity Constraints. Soft Computing: State of the Art Theory and Novel Applications 2013: 105-112 - [e12]Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz:
Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Proceedings of the 6th International Conference on Soft Methods in Probability and Statistics, SMPS 2012, Konstanz, Germany, October 4-6, 2012. Advances in Intelligent Systems and Computing 190, Springer 2013, ISBN 978-3-642-33041-4 [contents] - [i2]Rudolf Kruse, Detlef Nauck, Frank Klawonn:
Reasoning with Mass Distributions. CoRR abs/1303.5726 (2013) - 2012
- [c84]Günther Stiege, Horst Langendörfer, Rudolf Kruse, Martina Zitterbart, Stefan Fischer, Lars C. Wolf, Michael Beigl, Rüdiger Kapitza:
Betriebssysteme und Rechnerverbund. 40 Jahre Informatik @ Braunschweig 2012: 62-75 - [c83]Christian Moewes, Rudolf Kruse, Bernhard A. Sabel:
Analysis of Dynamic Brain Networks Using VAR Models. SMPS 2012: 525-532 - [p5]Christian Moewes, Rudolf Kruse:
Fuzzy Control for Knowledge-Based Interpolation. Combining Experimentation and Theory 2012: 91-101 - 2011
- [j56]Rudolf Kruse, Michael Beer, Lotfi A. Zadeh:
Introduction. Integrated Computer-Aided Engineering 18(3): 201-202 (2011) - [j55]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Fuzzy c-means in High Dimensional Spaces. IJFSA 1(1): 1-16 (2011) - [c82]Roland Winkler, Frank Klawonn, Rudolf Kruse:
M-Estimator induced Fuzzy Clustering Algorithms. EUSFLAT Conf. 2011: 298-304 - [c81]Christian Moewes, Rudolf Kruse:
On the usefulness of fuzzy SVMs and the extraction of fuzzy rules from SVMs. EUSFLAT Conf. 2011: 943-948 - [c80]
- [c79]
- [p4]Radim Belohlávek, Rudolf Kruse, Christian Moewes:
Fuzzy Logic in Computer Science. Computer Science, The Hardware, Software and Heart of It 2011: 385-419 - 2010
- [j54]
- [j53]Matthias Steinbrecher, Rudolf Kruse:
Visualizing and fuzzy filtering for discovering temporal trajectories of association rules. J. Comput. Syst. Sci. 76(1): 77-87 (2010) - [c78]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets. GfKl 2010: 79-87 - [c77]Georg Ruß, Martin Schneider, Rudolf Kruse:
Hierarchical Spatial Clustering for Management Zone Delineation in Precision Agriculture. Industrial Conference on Data Mining - Workshops 2010: 95-104 - [c76]
- [p3]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. Intelligent Autonomous Systems 2010: 123-141 - [e11]Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann:
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part I. Communications in Computer and Information Science 80, Springer 2010, ISBN 978-3-642-14054-9 [contents] - [e10]Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann:
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 13th International Conference, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings, Part II. Communications in Computer and Information Science 81, Springer 2010, ISBN 978-3-642-14057-0 [contents] - [e9]Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann:
Computational Intelligence for Knowledge-Based Systems Design, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings. Lecture Notes in Computer Science 6178, Springer 2010, ISBN 978-3-642-14048-8 [contents]
2000 – 2009
- 2009
- [j52]Sebastian Nusser, Clemens Otte, Werner Hauptmann, Oskar Leirich, Manfred Krätschmer, Rudolf Kruse:
Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (Machine Learning of Verifiable Classifiers for Autonomous Control of Safety-related Systems). Automatisierungstechnik 57(3): 138-145 (2009) - [j51]Christian Moewes, Rudolf Kruse:
Zuordnen von linguistischen Ausdrücken zu Motiven in Zeitreihen (Matching of Labeled Terms to Time Series Motifs). Automatisierungstechnik 57(3): 146-154 (2009) - [j50]Mirko Böttcher, Martin Spott, Detlef D. Nauck, Rudolf Kruse:
Mining changing customer segments in dynamic markets. Expert Syst. Appl. 36(1): 155-164 (2009) - [j49]Tobias Günther, Iris Mueller, Markus Preuss, Rudolf Kruse, Bernhard A. Sabel:
A Treatment Outcome Prediction Model of Visual Field Recovery Using Self-Organizing Maps. IEEE Trans. Biomed. Engineering 56(3): 572-581 (2009) - [c75]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. ECSQARU 2009: 748-756 - [c74]Matthias Steinbrecher, Rudolf Kruse:
Fuzzy Descriptions to Identify Temporal Substructure Changes of Cooccurrence Graphs. IFSA/EUSFLAT Conf. 2009: 1177-1182 - [c73]Matthias Steinbrecher, Rudolf Kruse:
Assessing the Strength of Structural Changes in Cooccurrence Graphs. KI 2009: 476-483 - [c72]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Visual Data Mining of Agriculture Data. MLDM Posters 2009: 30-44 - [c71]Mirko Böttcher, Martin Spott, Rudolf Kruse:
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time. ECML/PKDD (1) 2009: 163-178 - [c70]
- [r1]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Visualization of High-Dimensional Data with Polar Coordinates. Encyclopedia of Data Warehousing and Mining 2009: 2062-2067 - 2008
- [j48]Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse:
Mining Frequent Temporal Patterns in Interval Sequences. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(5): 645-661 (2008) - [j47]Jochem W. Rieger, Christoph Reichert, Karl R. Gegenfurtner, Tömme Noesselt, Christoph Braun, Hans-Jochen Heinze, Rudolf Kruse, Hermann Hinrichs:
Predicting the recognition of natural scenes from single trial MEG recordings of brain activity. NeuroImage 42(3): 1056-1068 (2008) - [j46]
- [c69]Matthias Steinbrecher, Rudolf Kruse:
Clustering Association Rules with Fuzzy Concepts. GfKl 2008: 197-205 - [c68]
- [c67]Mirko Böttcher, Martin Spott, Rudolf Kruse:
Predicting Future Decision Trees from Evolving Data. ICDM 2008: 33-42 - [c66]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Estimation of Neural Network Parameters for Wheat Yield Prediction. IFIP AI 2008: 109-118 - [c65]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Data Mining with Neural Networks for Wheat Yield Prediction. ICDM 2008: 47-56 - [c64]Christian Moewes, Clemens Otte, Rudolf Kruse:
Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM. SMPS 2008: 409-416 - [p2]Matthias Steinbrecher, Frank Rügheimer, Rudolf Kruse:
Application of Graphical Models in the Automotive Industry. Computational Intelligence in Automotive Applications 2008: 79-88 - [i1]Myra Spiliopoulou, Maurice van Keulen, Hans-Joachim Lenz, Jef Wijsen, Matthias Renz, Rudolf Kruse, Mirco Stern:
08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management. Uncertainty Management in Information Systems 2008 - 2007
- [j45]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Visualization of Fuzzy Classifiers. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15(5): 615-624 (2007) - [j44]Ulrich Bodenhofer, Eyke Hüllermeier, Frank Klawonn, Rudolf Kruse:
Special Issue on Soft Computing for Information Mining. Soft Comput. 11(5): 397-399 (2007) - [j43]Xiaomeng Wang, Detlef D. Nauck, Martin Spott, Rudolf Kruse:
Intelligent data analysis with fuzzy decision trees. Soft Comput. 11(5): 439-457 (2007) - [j42]Frank Rehm, Frank Klawonn, Rudolf Kruse:
A Novel Approach to Noise Clustering for Outlier Detection. Soft Comput. 11(5): 489-494 (2007) - [c63]Steffen Kempe, Jochen Hipp, Rudolf Kruse:
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns. GfKl 2007: 253-260 - [c62]Siddeswara Mayura Guru, Matthias Steinbrecher, Saman K. Halgamuge, Rudolf Kruse:
Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks. GPC 2007: 89-99 - [c61]Rudolf Kruse:
Probabilistic Graphical Models for Data Mining and Planning in Automotive Industry. ICTAI (1) 2007 - [c60]Matthias Steinbrecher, Rudolf Kruse:
Visualization of Possibilistic Potentials. IFSA (1) 2007: 295-303 - [c59]Georg Ruß, Detlef D. Nauck, Mirko Böttcher, Rudolf Kruse:
Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval. SGAI Conf. 2007: 253-266 - 2006
- [b8]Kai Michels, Frank Klawonn, Rudolf Kruse, Andreas Nürnberger:
Fuzzy Control - Fundamentals, Stability and Design of Fuzzy Controllers. Studies in Fuzziness and Soft Computing 200, Springer 2006, ISBN 978-3-540-31765-4, pp. 1-374 [contents] - [j41]Christian Döring, Marie-Jeanne Lesot, Rudolf Kruse:
Data analysis with fuzzy clustering methods. Computational Statistics & Data Analysis 51(1): 192-214 (2006) - [c58]Christian Borgelt, Rudolf Kruse:
Finding the Number of Fuzzy Clusters by Resampling. FUZZ-IEEE 2006: 48-54 - [c57]Marie-Jeanne Lesot, Rudolf Kruse:
Data Summarisation by Typicality-based Clustering for Vectorial and Non Vectorial Data. FUZZ-IEEE 2006: 547-554 - [c56]Christian Döring, Andreas Eichhorn, Xiaomeng Wang, Rudolf Kruse:
Improved Classification of Surface Defects for Quality Control of Car Body Panels. FUZZ-IEEE 2006: 1476-1481 - [c55]Marie-Jeanne Lesot, Rudolf Kruse:
Typicality Degrees and Fuzzy Prototypes for Clustering. GfKl 2006: 107-114 - [c54]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Single Cluster Visualization to Optimize Air Traffic Management. GfKl 2006: 319-325 - [c53]
- [c52]Frank Rehm, Frank Klawonn, Rudolf Kruse:
POLARMAP - Efficient Visualisation of High Dimensional Data. IV 2006: 731-740 - [e8]Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul:
From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005. Studies in Classification, Data Analysis, and Knowledge Organization, Springer 2006, ISBN 978-3-540-31313-7 [contents] - 2005
- [j40]Andreas Eichhorn, Daniela Girimonte, Aljoscha Klose, Rudolf Kruse:
Soft computing for automated surface quality analysis of exterior car body panels. Appl. Soft Comput. 5(3): 301-313 (2005) - [j39]Aljoscha Klose, Rudolf Kruse:
Semi-supervised learning in knowledge discovery. Fuzzy Sets and Systems 149(1): 209-233 (2005) - [c51]