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ORCIDRudolf Kruse
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- affiliation: Otto von Guericke University Magdeburg, Faculty of Computer Science
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2020 – today
- 2022
[b12]Rudolf Kruse, Sanaz Mostaghim
, Christian Borgelt, Christian Braune, Matthias Steinbrecher:
Computational Intelligence - A Methodological Introduction, Third Edition. Texts in Computer Science, Springer 2022, ISBN 978-3-030-42226-4, pp. 1-625- [c141]Rudolf Kruse:
Probabilistic Graphical Models: On Reasoning, Learning, and Revision (Extended Abstract). KDIR 2022: 9-10 - [p23]Alexander Dockhorn, Rudolf Kruse:
Balancing Exploration and Exploitation in Forward Model Learning. Advances in Intelligent Systems Research and Innovation 2022: 1-19 - 2021
- [j68]Alexander Dockhorn, Rudolf Kruse:
Modellheuristiken für effizientes forward model learning. Autom. 69(10): 848-857 (2021) - [p22]Alexander Dockhorn, Chris Saxton, Rudolf Kruse:
Association Rule Mining for Unknown Video Games. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 257-270 - 2020
- [j67]Alexander Dockhorn, Rudolf Kruse:
Predicting Cards Using a Fuzzy Multiset Clustering of Decks. Int. J. Comput. Intell. Syst. 13(1): 1207-1217 (2020) - [c140]Alexander Dockhorn, Rudolf Kruse:
Forward Model Learning for Motion Control Tasks. IEEE Conf. on Intelligent Systems 2020: 1-5 - [p21]Christian Borgelt, Christian Braune, Rudolf Kruse:
Unsicheres, impräzises und unscharfes Wissen. Handbuch der Künstlichen Intelligenz 2020: 279-342 - [e17]Vassil Sgurev, Vladimir Jotsov, Rudolf Kruse, Mincho Hadjiski:
10th IEEE International Conference on Intelligent Systems, IS 2020, Varna, Bulgaria, August 28-30, 2020. IEEE 2020, ISBN 978-1-7281-5456-5 [contents]
2010 – 2019
- 2019
- [j66]Inés Couso, Christian Borgelt, Eyke Hüllermeier, Rudolf Kruse:
Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Comput. Intell. Mag. 14(1): 31-44 (2019) - [c139]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoG 2019: 1-8 - [c138]Alexander Dockhorn, Tony Schwensfeier, Rudolf Kruse:
Fuzzy Multiset Clustering for Metagame Analysis. EUSFLAT Conf. 2019 - [p20]Tran Tuan Nguyen, Jan-Ole Perschewski, Fabian Engel, Jonas Kruesemann, Jonas Sitzmann, Jens Spehr, Sebastian Zug, Rudolf Kruse:
Reliability-Aware and Robust Multi-sensor Fusion Toward Ego-Lane Estimation Using Artificial Neural Networks. Information Quality in Information Fusion and Decision Making 2019: 423-454 - [i5]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoRR abs/1903.12508 (2019) - 2018
- [j65]Tran Tuan Nguyen, Jens Spehr, Sebastian Zug, Rudolf Kruse:
Multisource Fusion for Robust Road Detection Using Online Estimated Reliabilities. IEEE Trans. Ind. Informatics 14(11): 4927-4939 (2018) - [c137]Gabriella Pasi, Rudolf Kruse, Marco Viviani:
Introduction to the Minitrack on Soft Computing: Methods and Applications. HICSS 2018: 1 - [c136]Alexander Dockhorn, Max Frick, Ünal Akkaya, Rudolf Kruse:
Predicting Opponent Moves for Improving Hearthstone AI. IPMU (2) 2018: 621-632 - [c135]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 - [c134]Alexander Dockhorn, Tim Tippelt, Rudolf Kruse:
Model Decomposition for Forward Model Approximation. SSCI 2018: 1751-1757 - 2017
- [j64]Richard Weber, Cristián Bravo, Rudolf Kruse, Sebastián Maldonado:
Special issue "Applied soft computing for business analytics". Appl. Soft Comput. 60: 750-751 (2017) - [c133]Alexander Dockhorn, Rudolf Kruse:
Combining cooperative and adversarial coevolution in the context of pac-man. CIG 2017: 60-67 - [c132]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 - [c131]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 - [c130]Alexander Dockhorn, Christoph Doell, Matthias Hewelt, Rudolf Kruse:
A decision heuristic for Monte Carlo tree search doppelkopf agents. SSCI 2017: 1-8 - [c129]Tim Sabsch, Christian Braune, Alexander Dockhorn, Rudolf Kruse:
Using a multiobjective genetic algorithm for curve approximation. SSCI 2017: 1-6 - 2016
- [b11]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 - [j63]Christoph Reichert, Stefan Dürschmid, Rudolf Kruse, Hermann Hinrichs:
An Efficient Decoder for the Recognition of Event-Related Potentials in High-Density MEG Recordings. Comput. 5(2): 5 (2016) - [j62]Kristian Loewe, Sarah E. Donohue, Mircea Ariel Schoenfeld, Rudolf Kruse, Christian Borgelt:
Memory-Efficient Analysis of Dense Functional Connectomes. Frontiers Neuroinformatics 10: 50 (2016) - [c128]Pascal Held, Rudolf Kruse:
Detecting overlapping community hierarchies in dynamic graphs. ASONAM 2016: 1063-1070 - [c127]Pascal Held, Benjamin Krause, Rudolf Kruse:
Dynamic Clustering in Social Networks Using Louvain and Infomap Method. ENIC 2016: 61-68 - [c126]Rudolf Kruse, Gabriella Pasi, José Maria Alonso:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2016: 1710 - [c125]Christian Braune, Marco Dankel, Rudolf Kruse:
Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm. IDA 2016: 61-72 - [c124]Pascal Held, Rudolf Kruse:
Online Fuzzy Community Detection by Using Nearest Hubs. IPMU (2) 2016: 678-689 - [c123]Tran Tuan Nguyen, Jens Spehr, Matthias Uhlemann, Sebastian Zug, Rudolf Kruse:
Learning of lane information reliability for intelligent vehicles. MFI 2016: 142-147 - [c122]Christian Borgelt, Rudolf Kruse:
Agglomerative Fuzzy Clustering. SMPS 2016: 69-77 - [c121]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Detecting Inconsistencies in Revision Problems. SMPS 2016: 439-446 - [c120]Christian Braune, Rudolf Kruse:
Fuzzy density based clustering with generalized centroids. SSCI 2016: 1-7 - [c119]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
Variable density based clustering. SSCI 2016: 1-8 - [c118]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
- [j61]Frank Klawonn, Rudolf Kruse, Roland Winkler:
Fuzzy clustering: More than just fuzzification. Fuzzy Sets Syst. 281: 272-279 (2015) - [j60]Christian Borgelt, Rudolf Kruse:
Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie. Inform. Spektrum 38(6): 490-499 (2015) - [j59]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On Merging and Dividing Social Graphs. J. Artif. Intell. Soft Comput. Res. 5(1): 23 (2015) - [c117]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Prototype Based Fuzzy Clustering Algorithms in High-Dimensional Feature Spaces. A Passion for Fuzzy Sets 2015: 233-243 - [c116]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Towards Better Explanations. ECSQARU 2015: 257-266 - [c115]Pascal Held, Alexander Dockhorn, Benjamin Krause, Rudolf Kruse:
Clustering Social Networks Using Competing Ant Hives. ENIC 2015: 67-74 - [c114]Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse:
Mining Frequent Parallel Episodes with Selective Participation. IFSA-EUSFLAT 2015 - [c113]Rudolf Kruse, Gabriella Pasi, José Maria Alonso:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2015: 1472-1473 - [c112]Christian Braune, Martin Glauer, Rudolf Kruse:
Towards Online Detection of Neural Assemblies in Parallel Spike Trains. HICSS 2015: 1503-1511 - [c111]Fabian Schmidt, Jörg Gebhardt, Rudolf Kruse:
Handling Revision Inconsistencies: Creating Useful Explanations. HICSS 2015: 3712-3718 - [c110]Pascal Held, Christian Braune, Rudolf Kruse:
Exploring dinofun park happenings. VAST 2015: 157-158 - [c109]Salatiel Ezennaya-Gomez, Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse:
Handling Selective Participation in Neuron Assembly Detection. IJCCI (Selected Papers) 2015: 386-406 - [c108]Alexander Dockhorn, Christian Braune, Rudolf Kruse:
An Alternating Optimization Approach Based on Hierarchical Adaptations of DBSCAN. SSCI 2015: 749-755 - [c107]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 - [p19]Christian Moewes, Ralf Mikut, Rudolf Kruse:
Fuzzy Control. Handbook of Computational Intelligence 2015: 269-283 - [p18]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
- [c106]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
On merging and dividing of Barabási-Albert-graphs. EALS 2014: 17-24 - [c105]Andreas Meier, Mark Gonter, Rudolf Kruse:
Symbolic Regression for Precrash Accident Severity Prediction. HAIS 2014: 133-144 - [c104]Rudolf Kruse:
Introduction to the Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2014: 1334 - [c103]Pascal Held, Alexander Dockhorn, Rudolf Kruse:
Generating Events for Dynamic Social Network Simulations. IPMU (2) 2014: 46-55 - [c102]Christian Braune, Stephan Besecke, Rudolf Kruse:
Using Changes in Distribution to Identify Synchronized Point Processes. SMPS 2014: 241-248 - 2013
- [b10]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 - [j58]María Angeles Gil, Gil González-Rodríguez, Rudolf Kruse:
Editorial of the special issue "Statistics with Imperfect Data". Inf. Sci. 245: 1-3 (2013) - [c101]Rudolf Kruse, Pascal Held, Christian Moewes:
On Fuzzy Data Analysis. On Fuzziness (1) 2013: 343-347 - [c100]Andreas Meier, Mark Gonter, Rudolf Kruse:
Accelerating convergence in cartesian genetic programming by using a new genetic operator. GECCO 2013: 981-988 - [c99]Fabian Schmidt, Jan Wendler, Jörg Gebhardt, Rudolf Kruse:
Handling Inconsistencies in the Revision of Probability Distributions. HAIS 2013: 598-607 - [c98]Rudolf Kruse:
Introduction to Soft Computing and Intelligent Data Analysis Minitrack. HICSS 2013: 1384 - [c97]Pascal Held, Rudolf Kruse:
Analysis and Visualization of Dynamic Clusterings. HICSS 2013: 1385-1393 - [c96]Christian Braune, Christian Borgelt, Rudolf Kruse:
Behavioral Clustering for Point Processes. IDA 2013: 127-137 - [c95]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 - [c94]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 - [c93]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 - [p17]Christian Borgelt, Christian Braune, Heiko Timm, Rudolf Kruse:
Unsicheres und vages Wissen. Handbuch der Künstlichen Intelligenz 2013: 235-296 - [p16]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 - [p15]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 - [e16]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 D. Nauck, Frank Klawonn:
Reasoning with Mass Distributions. CoRR abs/1303.5726 (2013) - 2012
- [c92]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 - [c91]Christian Moewes, Rudolf Kruse, Bernhard A. Sabel:
Analysis of Dynamic Brain Networks Using VAR Models. SMPS 2012: 525-532 - [p14]Christian Moewes, Rudolf Kruse:
Fuzzy Control for Knowledge-Based Interpolation. Combining Experimentation and Theory 2012: 91-101 - 2011
- [j57]Rudolf Kruse, Michael Beer, Lotfi A. Zadeh:
Introduction. Integr. Comput. Aided Eng. 18(3): 201-202 (2011) - [j56]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Fuzzy c-means in High Dimensional Spaces. Int. J. Fuzzy Syst. Appl. 1(1): 1-16 (2011) - [c90]Roland Winkler, Frank Klawonn, Rudolf Kruse:
M-Estimator induced Fuzzy Clustering Algorithms. EUSFLAT Conf. 2011: 298-304 - [c89]Christian Moewes, Rudolf Kruse:
On the usefulness of fuzzy SVMs and the extraction of fuzzy rules from SVMs. EUSFLAT Conf. 2011: 943-948 - [c88]Georg Ruß, Rudolf Kruse:
Exploratory Hierarchical Clustering for Management Zone Delineation in Precision Agriculture. ICDM 2011: 161-173 - [c87]Georg Ruß, Rudolf Kruse:
Machine Learning Methods for Spatial Clustering on Precision Agriculture Data. SCAI 2011: 40-49 - [p13]Radim Belohlávek, Rudolf Kruse, Christian Moewes:
Fuzzy Logic in Computer Science. Computer Science, The Hardware, Software and Heart of It 2011: 385-419 - 2010
- [j55]Radim Belohlávek, Rudolf Kruse:
Editor's foreword. J. Comput. Syst. Sci. 76(1): 1-2 (2010) - [j54]Matthias Steinbrecher, Rudolf Kruse:
Visualizing and fuzzy filtering for discovering temporal trajectories of association rules. J. Comput. Syst. Sci. 76(1): 77-87 (2010) - [c86]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets. GfKl 2010: 79-87 - [c85]Georg Ruß, Martin Schneider, Rudolf Kruse:
Hierarchical Spatial Clustering for Management Zone Delineation in Precision Agriculture. ICDM (Workshops) 2010: 95-104 - [c84]Georg Ruß, Rudolf Kruse:
Regression Models for Spatial Data: An Example from Precision Agriculture. ICDM 2010: 450-463 - [p12]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. Intelligent Autonomous Systems 2010: 123-141 - [e15]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] - [e14]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] - [e13]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
- [j53]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). Autom. 57(3): 138-145 (2009) - [j52]Christian Moewes, Rudolf Kruse:
Zuordnen von linguistischen Ausdrücken zu Motiven in Zeitreihen (Matching of Labeled Terms to Time Series Motifs). Autom. 57(3): 146-154 (2009) - [j51]Mirko Böttcher, Martin Spott, Detlef D. Nauck, Rudolf Kruse:
Mining changing customer segments in dynamic markets. Expert Syst. Appl. 36(1): 155-164 (2009) - [j50]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. Eng. 56(3): 572-581 (2009) - [c83]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. ECSQARU 2009: 748-756 - [c82]Matthias Steinbrecher, Rudolf Kruse:
Fuzzy Descriptions to Identify Temporal Substructure Changes of Cooccurrence Graphs. IFSA/EUSFLAT Conf. 2009: 1177-1182 - [c81]Matthias Steinbrecher, Rudolf Kruse:
Assessing the Strength of Structural Changes in Cooccurrence Graphs. KI 2009: 476-483 - [c80]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Visual Data Mining of Agriculture Data. MLDM Posters 2009: 30-44 - [c79]Mirko Böttcher, Martin Spott, Rudolf Kruse:
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time. ECML/PKDD (1) 2009: 163-178 - [c78]Georg Ruß, Rudolf Kruse:
Feature Selection for Wheat Yield Prediction. SGAI Conf. 2009: 465-478 - [p11]Roland Winkler, Frank Klawonn, Frank Höppner, Rudolf Kruse:
Fuzzy Cluster Analysis of Larger Data Sets. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 302-331 - [p10]Frank Rehm, Roland Winkler, Rudolf Kruse:
Fuzzy Clustering with Repulsive Prototypes. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 332-346 - [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
- [j49]Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse:
Mining Frequent Temporal Patterns in Interval Sequences. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(5): 645-661 (2008) - [j48]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) - [j47]Rudolf Kruse:
Fuzzy neural network. Scholarpedia 3(11): 6043 (2008) - [c77]Matthias Steinbrecher, Rudolf Kruse:
Clustering Association Rules with Fuzzy Concepts. GfKl 2008: 197-205 - [c76]Roland Winkler, Frank Rehm, Rudolf Kruse:
Clustering with Repulsive Prototypes. GfKl 2008: 207-215 - [c75]Mirko Böttcher, Martin Spott, Rudolf Kruse:
Predicting Future Decision Trees from Evolving Data. ICDM 2008: 33-42 - [c74]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Estimation of Neural Network Parameters for Wheat Yield Prediction. IFIP AI 2008: 109-118 - [c73]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Data Mining with Neural Networks for Wheat Yield Prediction. ICDM 2008: 47-56 - [c72]Georg Ruß, Rudolf Kruse, Martin Schneider, Peter Wagner:
Visualization of Agriculture Data Using Self-Organizing Maps. SGAI Conf. (Applications) 2008: 47-60 - [c71]Mirko Böttcher, Martin Spott, Rudolf Kruse:
An Algorithm for Anticipating Future Decision Trees from Concept-Drifting Data. SGAI Conf. 2008: 293-306 - [c70]Christian Moewes, Clemens Otte, Rudolf Kruse:
Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM. SMPS 2008: 409-416 - [p9]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
- [j46]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Visualization of Fuzzy Classifiers. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(5): 615-624 (2007) - [j45]Ulrich Bodenhofer, Eyke Hüllermeier, Frank Klawonn, Rudolf Kruse:
Special Issue on Soft Computing for Information Mining. Soft Comput. 11(5): 397-399 (2007) - [j44]Xiaomeng Wang, Detlef D. Nauck, Martin Spott, Rudolf Kruse:
Intelligent data analysis with fuzzy decision trees. Soft Comput. 11(5): 439-457 (2007) - [j43]Frank Rehm, Frank Klawonn, Rudolf Kruse:
A Novel Approach to Noise Clustering for Outlier Detection. Soft Comput. 11(5): 489-494 (2007) - [c69]Steffen Kempe, Jochen Hipp, Rudolf Kruse:
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns. GfKl 2007: 253-260 - [c68]Siddeswara Mayura Guru, Matthias Steinbrecher, Saman K. Halgamuge, Rudolf Kruse:
Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks. GPC 2007: 89-99 - [c67]Rudolf Kruse:
Probabilistic Graphical Models for Data Mining and Planning in Automotive Industry. ICTAI (1) 2007 - [c66]Matthias Steinbrecher, Rudolf Kruse:
Visualization of Possibilistic Potentials. IFSA (1) 2007: 295-303 - [c65]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
- [b9]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] - [j42]Christian Döring, Marie-Jeanne Lesot, Rudolf Kruse:
Data analysis with fuzzy clustering methods. Comput. Stat. Data Anal. 51(1): 192-214 (2006) - [j41]Annette Temme, Rudolf Kruse:
A fuzzy rule system describing transfer passenger movements. Soft Comput. 10(10): 917-923 (2006) - [c64]Christian Borgelt, Rudolf Kruse:
Finding the Number of Fuzzy Clusters by Resampling. FUZZ-IEEE 2006: 48-54 - [c63]Marie-Jeanne Lesot, Rudolf Kruse:
Data Summarisation by Typicality-based Clustering for Vectorial and Non Vectorial Data. FUZZ-IEEE 2006: 547-554 - [c62]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 - [c61]Marie-Jeanne Lesot, Rudolf Kruse:
Typicality Degrees and Fuzzy Prototypes for Clustering. GfKl 2006: 107-114 - [c60]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Single Cluster Visualization to Optimize Air Traffic Management. GfKl 2006: 319-325 - [c59]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Visualization of Single Clusters. ICAISC 2006: 663-671 - [c58]Frank Rehm, Frank Klawonn, Rudolf Kruse:
POLARMAP - Efficient Visualisation of High Dimensional Data. IV 2006: 731-740 - [p8]Jörg Gebhardt, Aljoscha Klose, Heinz Detmer, Frank Rügheimer, Rudolf Kruse:
Graphical Models for Industrial Planning on Complex Domains. Decision Theory and Multi-Agent Planning 2006: 131-143 - [e12]Giacomo Della Riccia, Didier Dubois, Rudolf Kruse, Hans-Joachim Lenz:
Decision Theory and Multi-Agent Planning. CISM courses and lectures : International Centre for Mechanical Sciences 482, Springer 2006, ISBN 978-3-211-31787-7 [contents] - [e11]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 Syst. 149(1): 209-233 (2005) - [c57]Jörg Gebhardt, Rudolf Kruse:
Knowledge-Based Operations for Graphical Models in Planning. ECSQARU 2005: 3-14 - [c56]Christian Borgelt, Rudolf Kruse:
Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. ECSQARU 2005: 100-110 - [c55]Frank Rügheimer, Rudolf Kruse:
Information Miner - a Data Analysis Platform. EUSFLAT Conf. 2005: 1182-1187 - [c54]Christian Borgelt, Andreas Nürnberger, Rudolf Kruse:
Fuzzy Learning Vector Quantization with Size and Shape Parameters. FUZZ-IEEE 2005: 195-200 - [c53]Christian Döring, Christian Borgelt, Rudolf Kruse:
Effects of Irrelevant Attributes in Fuzzy Clustering. FUZZ-IEEE 2005: 862-866 - [c52]Rudolf Kruse, Jörg Gebhardt:
Probabilistic Graphical Models in Complex Industrial Applications. HIS 2005: 3 - [c51]Xiaomeng Wang, Christian Borgelt, Rudolf Kruse:
Fuzzy frequent pattern discovering based on recursive elimination. ICMLA 2005 - [c50]Frank Rehm, Frank Klawonn, Rudolf Kruse:
MDSpolar: A New Approach for Dimension Reduction to Visualize High Dimensional Data. IDA 2005: 316-327 - 2004
- [b8]Ingrid Gerdes, Frank Klawonn, Rudolf Kruse:
Evolutionäre Algorithmen - genetische Algorithmen, Strategien und Optimierungsverfahren, Beispielanwendungen. Vieweg 2004, ISBN 978-3-528-05570-7, pp. I-X, 1-252 - [j38]Christian Borgelt, Rudolf Kruse:
Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie. Datenbank-Spektrum 9: 18-23 (2004) - [j37]Heiko Timm, Christian Borgelt, Christian Döring, Rudolf Kruse:
An extension to possibilistic fuzzy cluster analysis. Fuzzy Sets Syst. 147(1): 3-16 (2004) - [j36]Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse:
Guest Editorial: "Advances in intelligent data analysis". Intell. Data Anal. 8(5): 437-438 (2004) - [j35]Heiko Timm, Christian Döring, Rudolf Kruse:
Different approaches to fuzzy clustering of incomplete datasets. Int. J. Approx. Reason. 35(3): 239-249 (2004) - [j34]Rudolf Kruse, Aljoscha Klose:
Recent advances in exploratory data analysis with neuro-fuzzy methods. Soft Comput. 8(6): 381-382 (2004) - [c49]Frank Klawonn, Rudolf Kruse:
The Inherent Indistinguishability in Fuzzy Systems. Logic versus Approximation 2004: 6-17 - [c48]Jörg Gebhardt, Frank Rügheimer, Heinz Detmer, Rudolf Kruse:
Adaptable Markov models in industrial planning. FUZZ-IEEE 2004: 475-479 - [c47]Christian Borgelt, Rudolf Kruse:
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering. PKDD 2004: 52-62 - 2003
- [b7]Christian Borgelt, Frank Klawonn, Rudolf Kruse, Detlef D. Nauck:
Neuro-Fuzzy-Systeme. Vieweg 2003, ISBN 978-3-528-25265-6, pp. 1-396 - [j33]Christian Borgelt, Rudolf Kruse:
Operations and evaluation measures for learning possibilistic graphical models. Artif. Intell. 148(1-2): 385-418 (2003) - [j32]Rudolf Kruse, Christian Borgelt:
Information mining. Int. J. Approx. Reason. 32(2-3): 63-65 (2003) - [j31]Christian Borgelt, Rudolf Kruse:
Learning possibilistic graphical models from data. IEEE Trans. Fuzzy Syst. 11(2): 159-172 (2003) - [c46]Christian Borgelt, Rudolf Kruse:
Speeding up fuzzy clustering with neural network techniques. FUZZ-IEEE 2003: 852-856 - [c45]Andreas Eichhorn, Daniela Girimonte, Aljoscha Klose, Rudolf Kruse:
Neuro-fuzzy classification of surface form deviations. FUZZ-IEEE 2003: 902-907 - [c44]Heiko Timm, Christian Döring, Rudolf Kruse:
Differentiated Treatment of Missing Values in Fuzzy Clustering. IFSA 2003: 354-361 - [p7]Christian Borgelt, Heiko Timm, Rudolf Kruse:
Unsicheres und vages Wissens. Handbuch der Künstlichen Intelligenz 2003: 290-347 - [p6]Christian Borgelt, Rudolf Kruse:
Local Structure Learning in Graphical Models. Planning Based on Decision Theory 2003: 99-118 - [p5]Andreas Nürnberger, Aljoscha Klose, Rudolf Kruse:
Self-Organizing Maps for Interactive Search in Document Databases. Intelligent Exploration of the Web 2003: 119-135 - [e10]Giacomo Della Riccia, Didier Dubois, Rudolf Kruse, Hans-Joachim Lenz:
Planning Based on Decision Theory. CISM courses and lectures : International Centre for Mechanical Sciences 472, Springer 2003, ISBN 978-3-211-40756-1 [contents] - [e9]Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt:
Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings. Lecture Notes in Computer Science 2810, Springer 2003, ISBN 3-540-40813-4 [contents] - [e8]Andreas Günter, Rudolf Kruse, Bernd Neumann:
KI 2003: Advances in Artificial Intelligence, 26th Annual German Conference on AI, KI 2003, Hamburg, Germany, September 15-18, 2003, Proceedings. Lecture Notes in Computer Science 2821, Springer 2003, ISBN 3-540-20059-2 [contents] - 2002
- [b6]Christian Borgelt, Rudolf Kruse:
Graphical models - methods for data analysis and mining. Wiley 2002, ISBN 978-0-470-84337-6, pp. I-VIII, 1-358 - [j30]Andreas Nürnberger, Rudolf Kruse:
A Neuro-Fuzzy Approach to Optimize Hierarchical Recurrent Fuzzy Systems. Fuzzy Optim. Decis. Mak. 1(2): 221-248 (2002) - [j29]Jorge Marx Gómez, Claus Rautenstrauch, Andreas Nürnberger, Rudolf Kruse:
Neuro-fuzzy approach to forecast returns of scrapped products to recycling and remanufacturing. Knowl. Based Syst. 15(1-2): 119-128 (2002) - [j28]Andreas Nürnberger, Aljoscha Klose, Rudolf Kruse, Gerd K. Hartmann, Michael L. Richards:
SomAccess - Ein Softwareprototyp zur interaktiven Navigation in Textdatenbanken. Künstliche Intell. 16(3): 59-64 (2002) - [c43]Rudolf Kruse, Christian Borgelt:
Data Mining with Graphical Models. ALT 2002: 22 - [c42]Christian Borgelt, Rudolf Kruse:
Induction of Association Rules: Apriori Implementation. COMPSTAT 2002: 395-400 - [c41]Rudolf Kruse, Christian Borgelt:
Data Mining with Graphical Models. Discovery Science 2002: 2-11 - [c40]Annette Keller, Rudolf Kruse:
Fuzzy Rule Generation for Transfer Passenger Analysis. FSKD 2002: 667-671 - [c39]Aljoscha Klose, Rudolf Kruse:
Enabling neuro-fuzzy classification to learn from partially labeled data. FUZZ-IEEE 2002: 803-808 - [c38]Heiko Timm, Rudolf Kruse:
A modification to improve possibilistic fuzzy cluster analysis. FUZZ-IEEE 2002: 1460-1465 - 2001
- [j27]Isabelle Bloch, Anthony Hunter, Alain Appriou, André Ayoun, Salem Benferhat, Philippe Besnard, Laurence Cholvy, Roger M. Cooke, Frédéric Cuppens, Didier Dubois, Hélène Fargier, Michel Grabisch, Rudolf Kruse, Jérôme Lang, Serafín Moral, Henri Prade, Alessandro Saffiotti, Philippe Smets, Claudio Sossai:
Fusion: General concepts and characteristics. Int. J. Intell. Syst. 16(10): 1107-1134 (2001) - [j26]Stefan Siekmann, Rudolf Kruse, Jörg Gebhardt, Franck Van Overbeek, Roger M. Cooke:
Information fusion in the context of stock index prediction. Int. J. Intell. Syst. 16(11): 1285-1298 (2001) - [j25]Andreas Nürnberger, Arne Radetzky, Rudolf Kruse:
Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems. Neurocomputing 36(1-4): 123-147 (2001) - [j24]Christian Borgelt, Rudolf Kruse:
Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen. Künstliche Intell. 15(3): 5-8 (2001) - [j23]Christian Freksa, Rudolf Kruse, Ramón López de Mántaras:
Interview with Prof. Lotfi A. Zadeh. Künstliche Intell. 15(3): 40-43 (2001) - [j22]Christian Borgelt, Rudolf Kruse:
Unsicherheit und Vagheit - Serviceteil. Künstliche Intell. 15(3): 48 (2001) - [c37]Christian Borgelt, Rudolf Kruse:
An Empirical Investigation of the K2 Metric. ECSQARU 2001: 240-251 - [c36]Rudolf Kruse:
Information mining. EUSFLAT Conf. 2001: 6-9 - [c35]Christian Borgelt, Rudolf Kruse:
Learning Graphical Models With Hypertree Structure Using a Simulated Annealing Approach. FUZZ-IEEE 2001: 135-138 - [p4]Detlef D. Nauck, Rudolf Kruse:
Information Fusion in Neuro-Fuzzy Systems. Data Fusion and Perception 2001: 77-90 - [e7]Giacomo Della Riccia, Hans-Joachim Lenz, Rudolf Kruse:
Data Fusion and Perception. CISM courses and lectures : International Centre for Mechanical Sciences 431, Springer 2001, ISBN 978-3-211-83683-5 [contents] - 2000
- [c34]Christian Borgelt, Heiko Timm, Rudolf Kruse:
Using fuzzy clustering to improve naive Bayes classifiers and probabilistic networks. FUZZ-IEEE 2000: 53-58 - [c33]Andreas Nürnberger, Aljoscha Klose, Rudolf Kruse:
Effects of antecedent pruning in fuzzy classification systems. KES 2000: 154-157 - [c32]Aljoscha Klose, Rudolf Kruse, Karsten Schulz, Ulrich Thoennessen:
Controlling Asymmetric Errors in Neuro-Fuzzy Classification. SAC (1) 2000: 505-509 - [c31]Rudolf Kruse, Aljoscha Klose:
Information Mining: Applications in Image Processing. SOFSEM 2000: 266-287 - [c30]Rudolf Kruse, Christian Borgelt, Detlef D. Nauck:
Problems and Prospects in Fuzzy Data Analysis. Intelligent Systems and Soft Computing 2000: 95-109 - [c29]Detlef D. Nauck, Rudolf Kruse:
NEFCLASS-J - A JAVA-Based Soft Computing Tool. Intelligent Systems and Soft Computing 2000: 139-160 - [p3]Christian Borgelt, Jörg Gebhardt, Rudolf Kruse:
Possibilistic Graphical Models. Computational Intelligence in Data Mining 2000: 51-67 - [e6]Giacomo Della Riccia, Rudolf Kruse, Hans-Joachim Lenz:
Computational Intelligence in Data Mining. International Centre for Mechanical Sciences (CISM) Book Series 408, Springer 2000, ISBN 978-3-211-83326-1 [contents]
1990 – 1999
- 1999
- [j21]Detlef D. Nauck, Rudolf Kruse:
Obtaining interpretable fuzzy classification rules from medical data. Artif. Intell. Medicine 16(2): 149-169 (1999) - [j20]Detlef D. Nauck, Rudolf Kruse:
Neuro-fuzzy systems for function approximation. Fuzzy Sets Syst. 101(2): 261-271 (1999) - [c28]Christian Borgelt, Rudolf Kruse:
A Critique of Inductive Causation. ESCQARU 1999: 68-79 - [c27]Stefan Siekmann, Jörg Gebhardt, Rudolf Kruse:
Information Fusion in the Context of Stock Index Prediction. ESCQARU 1999: 363-373 - [p2]Christian Borgelt, Jörg Gebhardt, Rudolf Kruse:
Fuzzy Methoden in der Datenanalyse. Fuzzy Theorie und Stochastik 1999: 370-386 - 1998
- [j19]Christian Borgelt, Rudolf Kruse, Guido Lindner:
Lernen probabilistischer und possibilistischer Netze aus Daten: Theorie und Anwendung. Künstliche Intell. 12(1): 11-17 (1998) - [j18]Jörg Gebhardt, Rudolf Kruse, Gunter Ritter:
Book reviews. Math. Methods Oper. Res. 47(2): 337-340 (1998) - [j17]Andreas Nürnberger, Detlef D. Nauck, Rudolf Kruse:
Neuro-fuzzy control based on the NEFCON-model: recent developments. Soft Comput. 2(4): 168-182 (1998) - [c26]Jörg Gebhardt, Rudolf Kruse:
Background to and perspectives on possibilistic graphical models. Applications of Uncertainty Formalisms 1998: 397-414 - [c25]Rudolf Kruse, Gunter Saake:
Workshop: Data Mining und Data Warehousing als Grundlage moderner entscheidungsunterstützender Systeme. GI Jahrestagung 1998: 385-386 - [c24]Rudolf Kruse, Christian Borgelt:
Data Mining with Graphical Models. KI 1998: 3-16 - [e5]Jürgen Dassow, Rudolf Kruse:
Informatik '98 - Informatik zwischen Bild und Sprache, 28. Jahrestagung der Gesellschaft für Informatik, Magdeburg, 21.-25. September 1998. Informatik Aktuell, Springer 1998, ISBN 3-540-64938-7 [contents] - [e4]Rudolf Kruse, Gunter Saake:
Data Mining und Data Warehousing, Workshop im Rahmen der GI-Jahrestagung Informatik'98, Magdeburg, Deutschland, September 1998. Otto-von-Guericke-Universität Magdeburg, Fakultät für Informatik 1998 [contents] - 1997
- [j16]Rainer Palm, Rudolf Kruse:
Methods for data analysis in classification and control. Fuzzy Sets Syst. 85(2): 127-129 (1997) - [j15]Frank Klawonn, Rudolf Kruse:
Constructing a fuzzy controller from data. Fuzzy Sets Syst. 85(2): 177-193 (1997) - [j14]Detlef D. Nauck, Rudolf Kruse:
A neuro-fuzzy method to learn fuzzy classification rules from data. Fuzzy Sets Syst. 89(3): 277-288 (1997) - [j13]Rudolf Kruse, Frank Klawonn, Detlef D. Nauck:
Erlerner von Fuzzy-Regeln. Inform. Forsch. Entwickl. 12(1): 2-6 (1997) - [j12]Kai Michels, Rudolf Kruse:
Numerical stability analysis for fuzzy control. Int. J. Approx. Reason. 16(1): 3-24 (1997) - [c23]Christian Borgelt, Rudolf Kruse:
Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures. ECSQARU-FAPR 1997: 71-85 - [c22]Jörg Gebhardt, Rudolf Kruse:
Background and Perspectives of Possibilistic Graphical Models. ECSQARU-FAPR 1997: 108-121 - [e3]Dov M. Gabbay, Rudolf Kruse, Andreas Nonnengart, Hans Jürgen Ohlbach:
Qualitative and Quantitative Practical Reasoning, First International Joint Conference on Qualitative and Quantitative Practical Reasoning ECSQARU-FAPR'97, Bad Honnef, Germany, June 9-12, 1997, Proceedings. Lecture Notes in Computer Science 1244, Springer 1997, ISBN 3-540-63095-3 [contents] - 1996
- [j11]Rudolf Kruse:
Fuzzy-Systeme - Positive Aspekte der Unvollkommenheit. Inform. Spektrum 19(1): 4-11 (1996) - [c21]Thomas Sutter, Guy S. Mollet, Markus Schröder, Rudolf Kruse, Jörg Gebhardt:
Fuzzy queries for top-management succession planning. CIFEr 1996: 241-246 - [c20]Rudolf Kruse:
Statistische Methoden zur Kartierung quantitativer Merkmalsloci in der Humangenetik. GMDS 1996: 512-515 - [p1]Philippe Smets, Rudolf Kruse:
The Transferable Belief Model for Belief Representation. Uncertainty Management in Information Systems 1996: 343-368 - 1995
- [b5]Rudolf Kruse, Jörg Gebhardt, Frank Klawonn:
Fuzzy-Systeme (2. Aufl.). Leitfäden der Informatik, Teubner 1995, ISBN 978-3-519-12130-5, pp. I-XI, 1-273 - [j10]Frank Klawonn, Jörg Gebhardt, Rudolf Kruse:
Fuzzy control on the basis of equality relations with an example from idle speed control. IEEE Trans. Fuzzy Syst. 3(3): 336-350 (1995) - [c19]Jörg Gebhardt, Rudolf Kruse:
Learning Possibilistic Networks from Data. AISTATS 1995: 143-153 - [c18]Jörg Gebhardt, Rudolf Kruse:
Reasoning and Learning in Probabilistic and Possibilistic Networks: An Overview. ECML 1995: 3-16 - [c17]Luis M. de Campos, Jörg Gebhardt, Rudolf Kruse:
Axiomatic Treatment of Possibilistic Independence. ECSQARU 1995: 77-88 - [c16]Detlef D. Nauck, Rudolf Kruse:
NEFCLASSmdash;a neuro-fuzzy approach for the classification of data. SAC 1995: 461-465 - 1994
- [b4]Detlef D. Nauck, Frank Klawonn, Rudolf Kruse:
Neuronale Netze und Fuzzy-Systeme - Grundlagen des Konnektionismus, neuronaler Fuzzy-Systeme und der Kopplung mit wissensbasierten Methoden. Artificial intelligence - Künstliche Intelligenz, Vieweg 1994, ISBN 978-3-528-05265-2, pp. I-X, 1-407 - [b3]Rudolf Kruse, Jörg Gebhardt, Frank Klawonn:
Foundations of fuzzy systems. Wiley 1994, ISBN 978-0-471-94243-6, pp. I-XII, 1-265 - [c15]Jens Kinzel, Frank Klawonn, Rudolf Kruse:
Anpassung Genetischer Algorithmen zum Erlernen und Optimieren von Fuzzy-Reglern. Fuzzy Days 1994: 103-110 - [c14]Frank Klawonn, Jens Kinzel, Rudolf Kruse:
Modifications of Genetic Algorithms for Designing and Optimizing Fuzzy Controllers. International Conference on Evolutionary Computation 1994: 28-33 - [c13]Jörg Gebhardt, Rudolf Kruse:
A Numerical Framework for Possibilistic Abduction. IPMU 1994: 281-291 - [c12]Rudolf Kruse, Jörg Gebhardt, Frank Klawonn:
A fuzzy controller for idle speed regulation. SAC 1994: 155-160 - [c11]Bernd Reusch, Lotfi A. Zadeh, Mohammad Jamshidi, Rudolf Kruse, Enrique H. Ruspini:
Future trends in fuzzy logic application (panel session). SAC 1994: 594-595 - 1993
- [b2]Rudolf Kruse, Jörg Gebhardt, Frank Klawonn:
Fuzzy-Systeme. Leitfäden und Monographien der Informatik, Teubner 1993, ISBN 978-3-519-02130-8, pp. I-IX, 1-274 - [j9]Philippe Besnard, Yves Moinard, Wilmer Pereira, Michael Clarke, Nic Wilson, Miguel Delgado, Serafín Moral, Juan Cano, Didier Dubois, Henri Prade, Luis Fariñas del Cerro, Jérôme Lang, Stéphane Amarger, John Fox, Paul J. Krause, Michael Dohnal, Christine Froidevaux, Jérôme Mengin, Ramón López de Mántaras, Lluís Godo, E. H. Mamdani, John Bigham, Simon Parsons, Rudolf Kruse, Olivier Paillet, Pierre Siegel, Philippe Smets, Yen-Teh Hsia, Alessandro Saffiotti, Robert Kennes, Hong Xu, Elizabeth Umkehrer, Kurt Sundermeyer, Chris Whitney:
DRUMS: Defeasible Reasoning and Uncertainty Management Systems. AI Commun. 6(1): 27-46 (1993) - [j8]Jörg Gebhardt, Rudolf Kruse:
The context model: An integrating view of vagueness and uncertainty. Int. J. Approx. Reason. 9(3): 283-314 (1993) - [j7]Rudolf Kruse:
Fuzzy-Systeme - einige Klarstellungen. Künstliche Intell. 7(4): 73-74 (1993) - [c10]Jörg Gebhardt, Rudolf Kruse:
A New Approach to Semantic Aspects of Possibilistic Reasoning. ECSQARU 1993: 151-159 - [c9]Detlef D. Nauck, Rudolf Kruse:
A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation. ICNN 1993: 1022-1027 - [c8]Detlef D. Nauck, Frank Klawonn, Rudolf Kruse:
Combining Neural Networks and Fuzzy Controllers. FLAI 1993: 35-46 - [e2]Michael Clarke, Rudolf Kruse, Serafín Moral:
Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQARU'93, Granada, Spain, November 8-10, 1993, Proceedings. Lecture Notes in Computer Science 747, Springer 1993, ISBN 3-540-57395-X [contents] - 1992
- [c7]Detlef D. Nauck, Frank Klawonn, Rudolf Kruse, Uwe Lohs:
Reasoning under Uncertainty with Temporal Aspects. IEA/AIE 1992: 572-580 - 1991
- [b1]Rudolf Kruse, Erhard Schwecke, Jochen Heinsohn:
Uncertainty and vagueness in knowledge based systems: numerical methods. Artificial intelligence, Springer 1991, ISBN 0387541659, pp. I-XI, 1-491 - [j6]Rudolf Kruse, Jörg Gebhardt, Frank Klawonn:
Modellierung von Vagheit und Unsicherheit. Künstliche Intell. 5(4): 13-17 (1991) - [j5]Rudolf Kruse:
ESPRIT - Projekt DRUMS: Defeasible Reasoning und Uncertainty Management Systems. Künstliche Intell. 5(4): 47-49 (1991) - [c6]Rudolf Kruse, Jörg Gebhardt, Frank Klawonn:
Reasoning with Mass Distributions and the Context Model. ECSQARU 1991: 81-85 - [c5]Rudolf Kruse, Erhard Schwecke, Frank Klawonn:
On a Tool for Reasoning with Mass Distributions. IJCAI 1991: 1190-1195 - [c4]Rudolf Kruse, Detlef D. Nauck, Frank Klawonn:
Reasoning with Mass Distributions. UAI 1991: 182-187 - [e1]Rudolf Kruse, Pierre Siegel:
Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQAU, Marseille, France, October 15-17, 1991, Proceedings. Lecture Notes in Computer Science 548, Springer 1991, ISBN 3-540-54659-6 [contents] - 1990
- [j4]Rudolf Kruse, Erhard Schwecke:
Fuzzy reasoning in a multidimensional space of hypotheses. Int. J. Approx. Reason. 4(1): 47-68 (1990) - [c3]Rudolf Kruse, Erhard Schwecke:
On the Combination of Information Sources. IPMU 1990: 24-30 - [c2]Rudolf Kruse, Frank Klawonn:
Numerische Methoden zur Verarbeitung unsicherer Informationen in wissensbasierten Systemen. Konzeption und Einsatz von Umweltinformationssystemen 1990: 169-176
1980 – 1989
- 1989
- [c1]Peter Friedrich, Rudolf Kruse, Werner Struckmann:
Das Salzgitter-Modell - Ein Beispiel für die Zusammenarbeit zwischen Hochschule und Industrie bei der Entwicklung komplexer Software-Systeme. GI-Fachgespräch über Rechenzentren 1989: 214-222 - 1986
- [j3]Peter Friedrich, Rudolf Kruse, Werner Struckmann:
Ein softwaretechnisches Praktikum: Kooperation zwischen Hochschule und Industrie. Angew. Inform. 28(3): 124-126 (1986) - 1984
- [j2]Rudolf Kruse:
Statistical estimation with linguistic data. Inf. Sci. 33(3): 197-207 (1984) - 1982
- [j1]Rudolf Kruse:
The strong law of large numbers for fuzzy random variables. Inf. Sci. 28(3): 233-241 (1982)
Coauthor Index
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