Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Michael R. Berthold
2010 – today
- 2013
[j28]Stephan Beisken, Thorsten Meinl, Bernd Wiswedel, Luis F. de Figueiredo, Michael R. Berthold, Christoph Steinbeck: KNIME-CDK: Workflow-driven Cheminformatics. BMC Bioinformatics 14: 257 (2013)- [j27]Iris Adä, Michael R. Berthold: EVE: a framework for event detection. Evolving Systems 4(1): 61-70 (2013)
- [c48]Martin Horn, Michael R. Berthold: Learning Precise Local Boundaries in Images from Human Tracings. ICIAP (1) 2013: 131-140
- [c47]
- [c46]Jan N. van Rijn, Bernd Bischl, Luis Torgo, Bo Gao, Venkatesh Umaashankar, Simon Fischer, Patrick Winter, Bernd Wiswedel, Michael R. Berthold, Joaquin Vanschoren: OpenML: A Collaborative Science Platform. ECML/PKDD (3) 2013: 645-649
- [e12]Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz (Eds.): 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
- 2012
- [c45]Zaenal Akbar, Violeta N. Ivanova, Michael R. Berthold: Parallel Data Mining Revisited. Better, Not Faster. IDA 2012: 23-34
- [c44]Sebastian Peter, Frank Höppner, Michael R. Berthold: Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval. IDA 2012: 264-275
- [c43]Sebastian Peter, Frank Höppner, Michael R. Berthold: Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval. IEEE Conf. of Intelligent Systems 2012: 67-73
- [p7]Michael R. Berthold: Towards Bisociative Knowledge Discovery. Bisociative Knowledge Discovery 2012: 1-10
- [p6]Werner Dubitzky, Tobias Kötter, Oliver Schmidt, Michael R. Berthold: Towards Creative Information Exploration Based on Koestler's Concept of Bisociation. Bisociative Knowledge Discovery 2012: 11-32
- [p5]Tobias Kötter, Michael R. Berthold: From Information Networks to Bisociative Information Networks. Bisociative Knowledge Discovery 2012: 33-50
- [p4]Tobias Kötter, Michael R. Berthold: (Missing) Concept Discovery in Heterogeneous Information Networks. Bisociative Knowledge Discovery 2012: 230-245
- [p3]Kilian Thiel, Michael R. Berthold: Node Similarities from Spreading Activation. Bisociative Knowledge Discovery 2012: 246-262
- [p2]Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piatek, Michael R. Berthold: Towards Discovery of Subgraph Bisociations. Bisociative Knowledge Discovery 2012: 263-284
- [p1]Stefan Haun, Tatiana Gossen, Andreas Nürnberger, Tobias Kötter, Kilian Thiel, Michael R. Berthold: On the Integration of Graph Exploration and Data Analysis: The Creative Exploration Toolkit. Bisociative Knowledge Discovery 2012: 301-312
- [e11]Michael R. Berthold (Ed.): Bisociative Knowledge Discovery - An Introduction to Concept, Algorithms, Tools, and Applications. Lecture Notes in Computer Science 7250, Springer 2012, ISBN 978-3-642-31829-0
- 2011
- [c42]Iris Adä, Michael R. Berthold: Unifying Change - Towards a Framework for Detecting the Unexpected. ICDM Workshops 2011: 555-559
- [c41]
- [c40]Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piatek, Michael R. Berthold: Bisociative Discovery of Interesting Relations between Domains. IDA 2011: 306-317
- [c39]Bernd Wiswedel, Michael R. Berthold: Supervised Learning in Parallel Universes Using Neighborgrams. IDA 2011: 388-400
- [c38]
- 2010
- [j26]Bernd Wiswedel, Frank Höppner, Michael R. Berthold: Learning in parallel universes. Data Min. Knowl. Discov. 21(1): 130-152 (2010)
- [j25]
- [c37]
- [c36]Kilian Thiel, Michael R. Berthold: Node Similarities from Spreading Activation. ICDM 2010: 1085-1090
- [c35]Niall M. Adams, Paul R. Cohen, Michael R. Berthold: Changing the Focus of the IDA Symposium. IDA 2010: 1-5
- [c34]
- [c33]Stefan Haun, Andreas Nürnberger, Tobias Kötter, Kilian Thiel, Michael R. Berthold: CET: A Tool for Creative Exploration of Graphs. ECML/PKDD (3) 2010: 587-590
- [c32]
- [e10]Paul R. Cohen, Niall M. Adams, Michael R. Berthold (Eds.): Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Proceedings. Lecture Notes in Computer Science 6065, Springer 2010, ISBN 978-3-642-13061-8
2000 – 2009
- 2009
- [j24]Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli, Peter Szolovits, Michael R. Berthold, Riccardo Bellazzi, Ameen Abu-Hanna: The coming of age of artificial intelligence in medicine. Artificial Intelligence in Medicine 46(1): 5-17 (2009)
- [j23]Nicolas Cebron, Michael R. Berthold: Active learning for object classification: from exploration to exploitation. Data Min. Knowl. Discov. 18(2): 283-299 (2009)
- [j22]Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Peter Ohl, Kilian Thiel, Bernd Wiswedel: KNIME - the Konstanz information miner: version 2.0 and beyond. SIGKDD Explorations 11(1): 26-31 (2009)
- [c31]Michael R. Berthold, Ulrik Brandes, Tobias Kötter, Martin Mader, Uwe Nagel, Kilian Thiel: Pure spreading activation is pointless. CIKM 2009: 1915-1918
- [c30]Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold: Multi-Dimensional Scaling applied to Hierarchical Rule Systems. IFSA/EUSFLAT Conf. 2009: 944-949
- [c29]Thorsten Meinl, Michael R. Berthold: Crossover operators for multiobjective k-subset selection. GECCO 2009: 1809-1810
- [c28]Michael Zeller, Robert Grossman, Christoph Lingenfelder, Michael R. Berthold, Erik Marcade, Rick Pechter, Mike Hoskins, Wayne Thompson, Rich Holada: Open standards and cloud computing: KDD-2009 panel report. KDD 2009: 11-18
- 2008
- [j21]Nicolas Cebron, Michael R. Berthold: Adaptive prototype-based fuzzy classification. Fuzzy Sets and Systems 159(21): 2806-2818 (2008)
- [j20]Thomas R. Gabriel, Michael R. Berthold: Corrigendum to: Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation" [Int. J. Approx. Reasoning 35 (2004) 195-202]. Int. J. Approx. Reasoning 47(2): 265 (2008)
- [c27]Michael R. Berthold, Fabian Dill, Tobias Kötter, Kilian Thiel: Supporting Creativity: Towards Associative Discovery of New Insights. PAKDD 2008: 14-25
- [e9]Jean-François Boulicaut, Michael R. Berthold, Tamás Horváth (Eds.): Discovery Science, 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings. Lecture Notes in Computer Science 5255, Springer 2008, ISBN 978-3-540-88410-1
- 2007
- [j19]Bernd Wiswedel, Michael R. Berthold: Fuzzy clustering in parallel universes. Int. J. Approx. Reasoning 45(3): 439-454 (2007)
- [j18]Giuseppe Di Fatta, Michael R. Berthold: Decentralized load balancing for highly irregular search problems. Microprocessors and Microsystems 31(4): 273-281 (2007)
- [c26]Michael R. Berthold, Katharina Morik, Arno Siebes: 07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007
- [c25]Michael R. Berthold, Katharina Morik, Arno Siebes: 07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007
- [c24]Michael R. Berthold, Bernd Wiswedel: Learning in Parallel Universes. Parallel Universes and Local Patterns 2007
- [c23]Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Peter Ohl, Christoph Sieb, Kilian Thiel, Bernd Wiswedel: KNIME: The Konstanz Information Miner. GfKl 2007: 319-326
- [c22]Kilian Thiel, Fabian Dill, Tobias Kötter, Michael R. Berthold: Towards Visual Exploration of Topic Shifts. SMC 2007: 522-527
- [e8]Michael R. Berthold, Katharina Morik, Arno Siebes (Eds.): Parallel Universes and Local Patterns, 01.05. - 04.05.2007. Dagstuhl Seminar Proceedings 07181, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007
- [e7]Michael R. Berthold, John Shawe-Taylor, Nada Lavrac (Eds.): Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings. Lecture Notes in Computer Science 4723, Springer 2007, ISBN 978-3-540-74824-3
- 2006
- [j17]Giuseppe Di Fatta, Michael R. Berthold: Dynamic Load Balancing for the Distributed Mining of Molecular Structures. IEEE Trans. Parallel Distrib. Syst. 17(8): 773-785 (2006)
- [c21]Giuseppe Di Fatta, Antonino Fiannaca, Riccardo Rizzo, Alfonso Urso, Michael R. Berthold, Salvatore Gaglio: Context-Aware Visual Exploration of Molecular Datab. ICDM Workshops 2006: 136-141
- [c20]Giuseppe Di Fatta, Michael R. Berthold: Decentralized Load Balancing for Highly Irregular Search Problems. ISCC 2006: 220-226
- [c19]Nicolas Cebron, Michael R. Berthold: Adaptive Active Classification of Cell Assay Images. PKDD 2006: 79-90
- [e6]Michael R. Berthold, Robert C. Glen, Ingrid Fischer (Eds.): Computational Life Sciences II, Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006, Proceedings. Lecture Notes in Computer Science 4216, Springer 2006, ISBN 3-540-45767-4
- 2005
- [j16]Michael R. Berthold, Bernd Wiswedel, David E. Patterson: Interactive exploration of fuzzy clusters using Neighborgrams. Fuzzy Sets and Systems 149(1): 21-37 (2005)
- [c18]Christian Borgelt, Michael R. Berthold, David E. Patterson: Molecular Fragment Mining for Drug Discovery. ECSQARU 2005: 1002-1013
- [c17]Giuseppe Di Fatta, Michael R. Berthold: High Performance Subgraph Mining in Molecular Compounds. HPCC 2005: 866-877
- [c16]Thomas R. Gabriel, A. Simona Pintilie, Michael R. Berthold: Exploring Hierarchical Rule Systems in Parallel Coordinates. IDA 2005: 97-108
- [c15]Giuseppe Di Fatta, Michael R. Berthold: Efficient Mining of Discriminative Molecular Fragments. IASTED PDCS 2005: 619-625
- [c14]
- [c13]
- [e5]Michael R. Berthold, Robert C. Glen, Kay Diederichs, Oliver Kohlbacher, Ingrid Fischer (Eds.): Computational Life Sciences, First International Symposium, CompLife 2005, Konstanz, Germany, September 25-27, 2005, Proceedings. Lecture Notes in Computer Science 3695, Springer 2005, ISBN 3-540-29104-0
- 2004
- [j15]Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse: Guest Editorial: "Advances in intelligent data analysis". Intell. Data Anal. 8(5): 437-438 (2004)
- [j14]Heiko Hofer, Christian Borgelt, Michael R. Berthold: Large scale mining of molecular fragments with wildcards. Intell. Data Anal. 8(5): 495-504 (2004)
- [j13]Thomas R. Gabriel, Michael R. Berthold: Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation". Int. J. Approx. Reasoning 35(2): 195-202 (2004)
- [j12]Michael R. Berthold, Marco Ortolani, David E. Patterson, Frank Höppner, Ondine Callan, Heiko Hofer: Fuzzy information granules in time series data. Int. J. Intell. Syst. 19(7): 607-618 (2004)
- [c12]Thorsten Meinl, Michael R. Berthold: Hybrid fragment mining with MoFa and FSG. SMC (5) 2004: 4559-4564
- [c11]Christian Borgelt, Thorsten Meinl, Michael R. Berthold: Advanced pruning strategies to speed up mining closed molecular fragments. SMC (5) 2004: 4565-4570
- 2003
- [j11]
- [j10]Michael R. Berthold, Lawrence O. Hall: Visualizing fuzzy points in parallel coordinates. IEEE T. Fuzzy Systems 11(3): 369-374 (2003)
- [c10]
- [c9]Heiko Hofer, Christian Borgelt, Michael R. Berthold: Large Scale Mining of Molecular Fragments with Wildcards. IDA 2003: 376-385
- [e4]Michael R. Berthold, David J. Hand (Eds.): Intelligent Data Analysis, An Introduction, 2nd editon. Springer 2003, ISBN 3-540-43060-1
- [e3]Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt (Eds.): 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
- 2002
- [c8]Christian Borgelt, Michael R. Berthold: Mining Molecular Fragments: Finding Relevant Substructures of Molecules. ICDM 2002: 51-58
- [c7]Michael R. Berthold, Bernd Wiswedel, David E. Patterson: Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods. ICDM 2002: 581-584
- 2000
- [j9]David J. Hand, Douglas H. Fisher, Michael R. Berthold: Advances in intelligent data analysis. Intell. Data Anal. 4(2): 93-95 (2000)
- [j8]Rosaria Silipo, Michael R. Berthold: Input features' impact on fuzzy decision processes. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(6): 821-834 (2000)
1990 – 1999
- 1999
- [j7]Michael R. Berthold, Klaus-Peter Huber: Constructing fuzzy graphs from examples. Intell. Data Anal. 3(1): 37-53 (1999)
- [c6]Ingrid Fischer, Manuel Koch, Michael R. Berthold: Learning and Rewriting in Fuzzy Rule Graphs. AGTIVE 1999: 263-270
- [c5]Rosaria Silipo, Michael R. Berthold: Discriminative Power of Input Features in a Fuzzy Model. IDA 1999: 87-98
- [e2]David J. Hand, Joost N. Kok, Michael R. Berthold (Eds.): Advances in Intelligent Data Analysis, Third International Symposium, IDA-99, Amsterdam, The Netherlands, August 1999, Proceedings. Lecture Notes in Computer Science 1642, Springer 1999, ISBN 3-540-66332-0
- 1998
- [j6]Michael R. Berthold, Paul R. Cohen, Xiaohui Liu: Intelligent Data Analysis: Reasoning About Data. AI Magazine 19(4): 131-134 (1998)
- [j5]Xiaohui Liu, Paul R. Cohen, Michael R. Berthold: Editorial: Reasoning About Data. Intell. Data Anal. 2(1-4): 63-66 (1998)
- [j4]Michael R. Berthold, Jay Diamond: Constructive training of probabilistic neural networks. Neurocomputing 19(1-3): 167-183 (1998)
- [j3]Michael R. Berthold, Klaus-Peter Huber: Missing Values and Learning of Fuzzy Rules. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(2): 171-178 (1998)
- 1997
- [b1]Michael R. Berthold: Konstruktives Training von probabilistischen neuronalen Netzen für die Musterklassifikation. DISKI 155, Infix 1997, ISBN 978-3-89601-155-8, pp. I-XIII, 1-107
- [j2]Michael R. Berthold, Fay Sudweeks, Sid Newton, Richard D. Coyne: Clustering on the Net: Applying an autoassociative neural network to computer-mediated discussions. J. Computer-Mediated Communication 2(4): 0 (1997)
- [c4]Klaus-Peter Huber, Michael R. Berthold: Simulation Data Analysis Using Fuzzy Graphs. IDA 1997: 347-358
- [e1]Xiaohui Liu, Paul R. Cohen, Michael R. Berthold (Eds.): Advances in Intelligent Data Analysis, Reasoning about Data, Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings. Lecture Notes in Computer Science 1280, Springer 1997, ISBN 3-540-63346-4
- 1996
- [j1]Klaus-Peter Huber, Michael R. Berthold, Helena Szczerbicka: Analysis of Simulation Models with Fuzzy Graph Based Metamodeling. Perform. Eval. 27/28(4): 473-490 (1996)
- [c3]Klaus-Peter Huber, Michael R. Berthold, Helena Szczerbicka: Fuzzy Graph Based Metamodeling. Winter Simulation Conference 1996: 418-425
- 1994
- [c2]Michael R. Berthold, Fridtjof Feldbusch: Ein Trainingsverfahren für Radial Basis Function Netzwerke mit dynamischer Selektion der Zentren und Adaption der Radii. Fuzzy Days 1994: 78-85
- [c1]Michael R. Berthold, Jay Diamond: Boosting the Performance of RBF Networks with Dynamic Decay Adjustment. NIPS 1994: 521-528
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-10-02 11:10 CEST by the dblp team