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Michael R. Berthold
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- affiliation: University of Konstanz, Germany
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2020 – today
- 2024
- [i5]Gabriel J. Selzer, Curtis T. Rueden, Mark C. Hiner, Edward L. Evans, David Kolb, Marcel Wiedenmann, Christian Birkhold, Tim-Oliver Buchholz, Stefan Helfrich, Brian Northan, Alison E. Walter, Johannes E. Schindelin, Tobias Pietzsch, Stephan Saalfeld, Michael R. Berthold, Kevin W. Eliceiri:
SciJava Ops: An Improved Algorithms Framework for Fiji and Beyond. CoRR abs/2405.12385 (2024) - 2023
- [c73]Michael R. Berthold
, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann:
Towards Data Science Design Patterns. IDA 2023: 55-64 - 2021
- [j36]Michael R. Berthold
Widening: using parallel resources to improve model quality. Data Min. Knowl. Discov. 35(4): 1258-1286 (2021) - 2020
- [b4]Michael R. Berthold
Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data, Second Edition. Texts in Computer Science, Springer 2020, ISBN 978-3-030-45573-6, pp. 1-328 - [j35]Christian Dietz, Curtis T. Rueden
Integration of the ImageJ Ecosystem in KNIME Analytics Platform. Frontiers Comput. Sci. 2: 8 (2020) - [e13]Michael R. Berthold
Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings. Lecture Notes in Computer Science 12080, Springer 2020, ISBN 978-3-030-44583-6 [contents]
2010 – 2019
- 2019
- [c72]Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt:
Widened Learning of Index Tracking Portfolios. ICMLA 2019: 1800-1805 - 2018
- [c71]Oliver R. Sampson, Christian Borgelt, Michael R. Berthold:
Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. IDA 2018: 264-277 - [c70]Patrick Winter, Christian Borgelt, Michael R. Berthold:
Learned Feature Generation for Molecules. IDA 2018: 380-391 - 2017
- [c69]Alexander Fillbrunn, Leonard Wörteler
Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening. IDA 2017: 87-98 - 2016
- [c68]Oliver R. Sampson, Michael R. Berthold:
Widened Learning of Bayesian Network Classifiers. IDA 2016: 215-225 - [i4]Michael R. Berthold, Frank Höppner:
On Clustering Time Series Using Euclidean Distance and Pearson Correlation. CoRR abs/1601.02213 (2016) - 2015
- [j34]George Nicola, Michael R. Berthold, Michael P. Hedrick, Michael K. Gilson:
Connecting proteins with drug-like compounds: Open source drug discovery workflows with BindingDB and KNIME. Database J. Biol. Databases Curation 2015 (2015) - [c67]Tobias Kötter, Stephan Günnemann, Michael R. Berthold, Christos Faloutsos:
Automatic Taxonomy Extraction from Bipartite Graphs. ICDM 2015: 221-230 - [c66]Alexander Fillbrunn, Michael R. Berthold:
Diversity-Driven Widening of Hierarchical Agglomerative Clustering. IDA 2015: 84-94 - [c65]Tobias Kötter, Stephan Günnemann, Christos Faloutsos, Michael R. Berthold:
Extracting Taxonomies from Bipartite Graphs. WWW (Companion Volume) 2015: 51-52 - 2014
- [j33]Thorsten Meinl, Bernd Wiswedel, Michael R. Berthold:
Looking over the rim: algorithms for cheminformatics from computer scientists. J. Cheminformatics 6(S-1): 13 (2014) - [c64]Oliver Sampson, Michael R. Berthold:
Widened KRIMP: Better Performance through Diverse Parallelism. IDA 2014: 276-285 - [c63]Elisabeth Stühler, Michael R. Berthold:
Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time. MCV 2014: 59-70 - [c62]Tobias Kötter, Stephan Günnemann, Michael R. Berthold, Christos Faloutsos
Fault-Tolerant Concept Detection in Information Networks. PAKDD (1) 2014: 410-421 - 2013
- [j32]Stephan Beisken
KNIME-CDK: Workflow-driven Cheminformatics. BMC Bioinform. 14: 257 (2013) - [j31]Iris Adä, Michael R. Berthold:
EVE: a framework for event detection. Evol. Syst. 4(1): 61-70 (2013) - [j30]Michael R. Berthold, Bernd Wiswedel, Thomas R. Gabriel:
Fuzzy Logic in KNIME - Modules for Approximate Reasoning -. Int. J. Comput. Intell. Syst. 6(sup1): 34-45 (2013) - [c61]Martin Horn, Michael R. Berthold:
Learning Precise Local Boundaries in Images from Human Tracings. ICIAP (1) 2013: 131-140 - [c60]Iris Adä, Michael R. Berthold:
Detecting Events in Molecular Dynamics Simulations. IDA 2013: 44-55 - [c59]Violeta N. Ivanova, Michael R. Berthold:
Diversity-Driven Widening. IDA 2013: 223-236 - [c58]Michael R. Berthold:
Parallel universes. MultiClust@KDD 2013: 2 - [c57]Jan N. van Rijn, Bernd Bischl, Luís Torgo
OpenML: A Collaborative Science Platform. ECML/PKDD (3) 2013: 645-649 - [c56]Sandra Gesing, Malcolm P. Atkinson, Iraklis A. Klampanos, Michelle Galea, Michael R. Berthold, Roberto Barbera, Diego Scardaci, Gábor Terstyánszky, Tamás Kiss
The demand for consistent web-based workflow editors. WORKS@SC 2013: 112-123 - [c55]Sebastian Peter, Frank Höppner, Michael R. Berthold:
Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification. SGAI Conf. 2013: 5-18 - [e12]Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Angeles Gil
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] - 2012
- [c54]Zaenal Akbar
Parallel Data Mining Revisited. Better, Not Faster. IDA 2012: 23-34 - [c53]Sebastian Peter, Frank Höppner, Michael R. Berthold:
Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval. IDA 2012: 264-275 - [c52]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 - [p9]Michael R. Berthold:
From Patterns to Discoveries. Journeys to Data Mining 2012: 43-49 - [p8]Michael R. Berthold:
Towards Bisociative Knowledge Discovery. Bisociative Knowledge Discovery 2012: 1-10 - [p7]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 - [p6]Tobias Kötter, Michael R. Berthold:
From Information Networks to Bisociative Information Networks. Bisociative Knowledge Discovery 2012: 33-50 - [p5]Tobias Kötter, Michael R. Berthold:
(Missing) Concept Discovery in Heterogeneous Information Networks. Bisociative Knowledge Discovery 2012: 230-245 - [p4]Kilian Thiel, Michael R. Berthold:
Node Similarities from Spreading Activation. Bisociative Knowledge Discovery 2012: 246-262 - [p3]Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piatek, Michael R. Berthold:
Towards Discovery of Subgraph Bisociations. Bisociative Knowledge Discovery 2012: 263-284 - [p2]Stefan Haun, Tatiana Gossen, Andreas Nürnberger
On the Integration of Graph Exploration and Data Analysis: The Creative Exploration Toolkit. Bisociative Knowledge Discovery 2012: 301-312 - [e11]Michael R. Berthold:
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 [contents] - 2011
- [j29]Thorsten Meinl, Claude Ostermann, Michael R. Berthold:
Maximum-Score Diversity Selection for Early Drug Discovery. J. Chem. Inf. Model. 51(2): 237-247 (2011) - [c51]Tobias Kötter, Michael R. Berthold:
(Missing) Concept Discovery in Heterogeneous Information Networks. ICCC 2011: 135-140 - [c50]Iris Adä, Michael R. Berthold:
Unifying Change - Towards a Framework for Detecting the Unexpected. ICDM Workshops 2011: 555-559 - [c49]Michael R. Berthold:
Bisociative Knowledge Discovery. IDA 2011: 1-7 - [c48]Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piatek, Michael R. Berthold:
Bisociative Discovery of Interesting Relations between Domains. IDA 2011: 306-317 - [c47]Bernd Wiswedel, Michael R. Berthold:
Supervised Learning in Parallel Universes Using Neighborgrams. IDA 2011: 388-400 - [c46]Martin Horn, Michael R. Berthold:
Towards active segmentation of cell images. ISBI 2011: 177-181 - [c45]Iris Adä, Michael R. Berthold:
Unifying Change - Towards a Framework for Detecting the Unexpected. LWA 2011: 12 - 2010
- [b3]Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn
Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data. Texts in Computer Science 42, Springer 2010, ISBN 978-1-84882-259-7, pp. I-XIII, 1-394 - [j28]Bernd Wiswedel, Frank Höppner, Michael R. Berthold:
Learning in parallel universes. Data Min. Knowl. Discov. 21(1): 130-152 (2010) - [j27]Marek Z. Reformat
Editorial. Int. J. Approx. Reason. 51(8): 867-868 (2010) - [j26]Thorsten Meinl, Claude Ostermann, Olaf Nimz, Andrea Zaliani
Maximum-score diversity selection for early drug discovery. J. Cheminformatics 2(S-1): 33 (2010) - [c44]Nicolas Cebron, Michael R. Berthold:
Active learning in parallel universes. CIKM 2010: 1621-1624 - [c43]Tobias Kötter, Kilian Thiel, Michael R. Berthold:
Domain Bridging Associations Support Creativity. ICCC 2010: 200-204 - [c42]Kilian Thiel, Michael R. Berthold:
Node Similarities from Spreading Activation. ICDM 2010: 1085-1090 - [c41]Niall M. Adams, Paul R. Cohen, Michael R. Berthold:
Changing the Focus of the IDA Symposium. IDA 2010: 1-5 - [c40]Iris Adä, Michael R. Berthold:
The new iris data: modular data generators. KDD 2010: 413-422 - [c39]Stefan Haun, Andreas Nürnberger
CET: A Tool for Creative Exploration of Graphs. ECML/PKDD (3) 2010: 587-590 - [c38]Iris Adä, Kilian Thiel, Michael R. Berthold:
Distance aware tag clouds. SMC 2010: 2316-2322 - [e10]Paul R. Cohen, Niall M. Adams, Michael R. Berthold:
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 [contents]
2000 – 2009
- 2009
- [j25]Vimla L. Patel, Edward H. Shortliffe
The coming of age of artificial intelligence in medicine. Artif. Intell. Medicine 46(1): 5-17 (2009) - [j24]Nicolas Cebron, Michael R. Berthold:
Active learning for object classification: from exploration to exploitation. Data Min. Knowl. Discov. 18(2): 283-299 (2009) - [j23]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 Explor. 11(1): 26-31 (2009) - [c37]Michael R. Berthold, Ulrik Brandes, Tobias Kötter, Martin Mader, Uwe Nagel, Kilian Thiel:
Pure spreading activation is pointless. CIKM 2009: 1915-1918 - [c36]Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold:
Multi-Dimensional Scaling applied to Hierarchical Rule Systems. IFSA/EUSFLAT Conf. 2009: 944-949 - [c35]Thorsten Meinl, Michael R. Berthold:
Crossover operators for multiobjective k-subset selection. GECCO 2009: 1809-1810 - [c34]Michael Zeller, Robert Grossman, Christoph Lingenfelder, Michael R. Berthold, Erik Marcadé, Rick Pechter, Mike Hoskins, Wayne Thompson, Rich Holada:
Open standards and cloud computing: KDD-2009 panel report. KDD 2009: 11-18 - 2008
- [j22]Nicolas Cebron, Michael R. Berthold:
Adaptive prototype-based fuzzy classification. Fuzzy Sets Syst. 159(21): 2806-2818 (2008) - [j21]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. Reason. 47(2): 265 (2008) - [c33]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:
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 [contents] - 2007
- [j20]Bernd Wiswedel, Michael R. Berthold:
Fuzzy clustering in parallel universes. Int. J. Approx. Reason. 45(3): 439-454 (2007) - [j19]Giuseppe Di Fatta
Decentralized load balancing for highly irregular search problems. Microprocess. Microsystems 31(4): 273-281 (2007) - [c32]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 - [c31]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:
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 [contents] - [e7]Michael R. Berthold, John Shawe-Taylor, Nada Lavrac:
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 [contents] - [i3]Michael R. Berthold, Katharina Morik, Arno Siebes:
07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007 - [i2]Michael R. Berthold, Katharina Morik, Arno Siebes:
07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007 - [i1]Michael R. Berthold, Bernd Wiswedel:
Learning in Parallel Universes. Parallel Universes and Local Patterns 2007 - 2006
- [j18]Giuseppe Di Fatta
Dynamic Load Balancing for the Distributed Mining of Molecular Structures. IEEE Trans. Parallel Distributed Syst. 17(8): 773-785 (2006) - [c30]Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold:
Rule Visualization based on Multi-Dimensional Scaling. FUZZ-IEEE 2006: 66-71 - [c29]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 - [c28]Giuseppe Di Fatta
Decentralized Load Balancing for Highly Irregular Search Problems. ISCC 2006: 220-226 - [c27]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:
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 [contents] - 2005
- [j17]Michael R. Berthold, Bernd Wiswedel, David E. Patterson:
Interactive exploration of fuzzy clusters using Neighborgrams. Fuzzy Sets Syst. 149(1): 21-37 (2005) - [c26]Christian Borgelt, Michael R. Berthold, David E. Patterson:
Molecular Fragment Mining for Drug Discovery. ECSQARU 2005: 1002-1013 - [c25]Giuseppe Di Fatta, Michael R. Berthold:
High Performance Subgraph Mining in Molecular Compounds. HPCC 2005: 866-877 - [c24]Thomas R. Gabriel, A. Simona Pintilie, Michael R. Berthold:
Exploring Hierarchical Rule Systems in Parallel Coordinates. IDA 2005: 97-108 - [c23]Giuseppe Di Fatta, Michael R. Berthold:
Efficient Mining of Discriminative Molecular Fragments. IASTED PDCS 2005: 619-625 - [c22]Michael R. Berthold:
Data Analysis in the Life Sciences - Sparking Ideas -. PKDD 2005: 1 - [c21]Thomas R. Gabriel, Michael R. Berthold:
Missing Values in Fuzzy Rule Induction. SMC 2005: 1473-1476 - [e5]Michael R. Berthold, Robert C. Glen, Kay Diederichs, Oliver Kohlbacher, Ingrid Fischer:
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 [contents] - 2004
- [j16]Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse:
Guest Editorial: "Advances in intelligent data analysis". Intell. Data Anal. 8(5): 437-438 (2004) - [j15]Heiko Hofer, Christian Borgelt, Michael R. Berthold:
Large scale mining of molecular fragments with wildcards. Intell. Data Anal. 8(5): 495-504 (2004) - [j14]Thomas R. Gabriel, Michael R. Berthold:
Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation". Int. J. Approx. Reason. 35(2): 195-202 (2004) - [j13]Michael R. Berthold, Marco Ortolani
Fuzzy information granules in time series data. Int. J. Intell. Syst. 19(7): 607-618 (2004) - [c20]Michael R. Berthold, David E. Patterson:
Towards learning in parallel universes. FUZZ-IEEE 2004: 67-71 - [c19]Thorsten Meinl, Michael R. Berthold:
Hybrid fragment mining with MoFa and FSG. SMC (5) 2004: 4559-4564 - [c18]Christian Borgelt, Thorsten Meinl, Michael R. Berthold:
Advanced pruning strategies to speed up mining closed molecular fragments. SMC (5) 2004: 4565-4570 - 2003
- [j12]Michael R. Berthold:
Mixed fuzzy rule formation. Int. J. Approx. Reason. 32(2-3): 67-84 (2003) - [j11]Michael R. Berthold, Lawrence O. Hall:
Visualizing fuzzy points in parallel coordinates. IEEE Trans. Fuzzy Syst. 11(3): 369-374 (2003) - [c17]Bernd Wiswedel, David E. Patterson, Michael R. Berthold:
Interactive exploration of fuzzy clusters using neighborgrams. FUZZ-IEEE 2003: 660-665 - [c16]Thomas R. Gabriel, Michael R. Berthold:
Constructing Hierarchical Rule Systems. IDA 2003: 76-87 - [c15]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:
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:
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] - 2002
- [c14]Marco Ortolani, Heiko Hofer, David E. Patterson, Frank Höppner, Michael R. Berthold:
Fuzzy information granules in time series data. FUZZ-IEEE 2002: 695-699 - [c13]Christian Borgelt, Michael R. Berthold:
Mining Molecular Fragments: Finding Relevant Substructures of Molecules. ICDM 2002: 51-58 - [c12]Michael R. Berthold, Bernd Wiswedel, David E. Patterson:
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods. ICDM 2002: 581-584 - 2001
- [c11]David E. Patterson, Michael R. Berthold:
Finding clusters in parallel universes. SMC 2001: 123-128 - 2000
- [j10]David J. Hand, Douglas H. Fisher, Michael R. Berthold:
Advances in intelligent data analysis. Intell. Data Anal. 4(2): 93-95 (2000) - [j9]Michael R. Berthold, David I. Hand:
Intelligent Data Analysis. Technometrics 42(4): 442 (2000) - [j8]Rosaria Silipo, Michael R. Berthold:
Input features' impact on fuzzy decision processes. IEEE Trans. Syst. Man Cybern. Part B 30(6): 821-834 (2000) - [p1]Michael R. Berthold:
Learning Fuzzy Models and Potential Outliers. Computational Intelligence in Data Mining 2000: 111-126
1990 – 1999
- 1999
- [b2]Michael R. Berthold:
Intelligent data analysis: an introduction; with 39 tables. Springer 1999, ISBN 3540658084, pp. I-IX, 1-400 - [j7]Michael R. Berthold, Klaus-Peter Huber:
Constructing fuzzy graphs from examples. Intell. Data Anal. 3(1): 37-53 (1999) - [c10]Ingrid Fischer, Manuel Koch, Michael R. Berthold:
Learning and Rewriting in Fuzzy Rule Graphs. AGTIVE 1999: 263-270 - [c9]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:
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 [contents] - 1998
- [j6]Michael R. Berthold, Paul R. Cohen, Xiaohui Liu:
Intelligent Data Analysis: Reasoning About Data. AI Mag. 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. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6(2): 171-178 (1998) - 1997
- [b1]Michael R. Berthold:
Konstruktives Training von probabilistischen neuronalen Netzen für die Musterklassifikation. Karlsruhe Institute of Technology, 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. Comput. Mediat. Commun. 2(4): 0 (1997) - [c8]Michael R. Berthold, Ingrid Fischer:
Formalizing neural networks using graph transformations. ICNN 1997: 275-280 - [c7]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:
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 [contents] - 1996
- [j1]Klaus-Peter Huber, Michael R. Berthold, Helena Szczerbicka:
Analysis of Simulation Models with Fuzzy Graph Based Metamodeling. Perform. Evaluation 27/28(4): 473-490 (1996) - [c6]Michael R. Berthold:
A probabilistic extension for the DDA algorithm. ICNN 1996: 341-346 - [c5]Klaus-Peter Huber, Michael R. Berthold, Helena Szczerbicka:
Fuzzy Graph Based Metamodeling. WSC 1996: 418-425 - 1995
- [c4]Michael R. Berthold, Fay Sudweeks:
Typicality in computer mediated discussions-an analysis with neural networks. ICNN 1995: 932-936 - [c3]Klaus-Peter Huber, Michael R. Berthold:
Building precise classifiers with automatic rule extraction. ICNN 1995: 1263-1268 - 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
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