Michael R. Berthold

142 papers A* 6A 3B 36C 6Misc 1Journal 39Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Data Aware Agentic AI: Cognitive, Control, and Data Flows. ICINCO Michael R. Berthold
2024	J	`jnl`	SciJava Ops: An Improved Algorithms Framework for Fiji and Beyond. CoRR 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
2024	J	`jnl`	SciJava Ops: an improved algorithms framework for Fiji and beyond. Frontiers Bioinform. 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
2023	B	`conf`	Towards Data Science Design Patterns. IDA Michael R. Berthold, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann
2021	J	`jnl`	Widening: using parallel resources to improve model quality. Data Min. Knowl. Discov. Michael R. Berthold, Alexander Fillbrunn, Arno Siebes
2020	B	`ed.`	Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings IDA Michael R. Berthold, Ad Feelders, Georg Krempl
2020	—	`book`	Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data, Second Edition Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo
2020	J	`jnl`	Integration of the ImageJ Ecosystem in KNIME Analytics Platform. Frontiers Comput. Sci. Christian Dietz, Curtis T. Rueden, Stefan Helfrich, Ellen T. A. Dobson, Martin Horn, Jan Eglinger, Edward L. Evans, Dalton T. McLean, Tatiana Novitskaya, William A. Ricke, Nathan M. Sherer, Andries Zijlstra, Michael R. Berthold, Kevin W. Eliceiri
2019	C	`conf`	Widened Learning of Index Tracking Portfolios. ICMLA Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt
2018	B	`conf`	Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. IDA Oliver R. Sampson, Christian Borgelt, Michael R. Berthold
2018	B	`conf`	Learned Feature Generation for Molecules. IDA Patrick Winter, Christian Borgelt, Michael R. Berthold
2017	B	`conf`	Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening. IDA Alexander Fillbrunn, Leonard Wörteler, Michael Grossniklaus, Michael R. Berthold
2016	J	`jnl`	On Clustering Time Series Using Euclidean Distance and Pearson Correlation. CoRR Michael R. Berthold, Frank Höppner
2016	B	`conf`	Widened Learning of Bayesian Network Classifiers. IDA Oliver R. Sampson, Michael R. Berthold
2015	A*	`conf`	Automatic Taxonomy Extraction from Bipartite Graphs. ICDM Tobias Kötter, Stephan Günnemann, Michael R. Berthold, Christos Faloutsos
2015	J	`jnl`	Connecting proteins with drug-like compounds: Open source drug discovery workflows with BindingDB and KNIME. Database J. Biol. Databases Curation George Nicola, Michael R. Berthold, Michael P. Hedrick, Michael K. Gilson
2015	B	`conf`	Diversity-Driven Widening of Hierarchical Agglomerative Clustering. IDA Alexander Fillbrunn, Michael R. Berthold
2015	—	`conf`	Extracting Taxonomies from Bipartite Graphs. WWW (Companion Volume) Tobias Kötter, Stephan Günnemann, Christos Faloutsos, Michael R. Berthold
2014	—	`conf`	Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time. MCV Elisabeth Stühler, Michael R. Berthold
2014	—	`conf`	Fault-Tolerant Concept Detection in Information Networks. PAKDD (1) Tobias Kötter, Stephan Günnemann, Michael R. Berthold, Christos Faloutsos
2014	J	`jnl`	Looking over the rim: algorithms for cheminformatics from computer scientists. J. Cheminformatics Thorsten Meinl, Bernd Wiswedel, Michael R. Berthold
2014	B	`conf`	Widened KRIMP: Better Performance through Diverse Parallelism. IDA Oliver Sampson, Michael R. Berthold
2013	B	`conf`	Detecting Events in Molecular Dynamics Simulations. IDA Iris Adä, Michael R. Berthold
2013	B	`conf`	Diversity-Driven Widening. IDA Violeta N. Ivanova, Michael R. Berthold
2013	J	`jnl`	EVE: a framework for event detection. Evol. Syst. Iris Adä, Michael R. Berthold
2013	J	`jnl`	Fuzzy Logic in KNIME - Modules for Approximate Reasoning -. Int. J. Comput. Intell. Syst. Michael R. Berthold, Bernd Wiswedel, Thomas R. Gabriel
2013	J	`jnl`	KNIME-CDK: Workflow-driven Cheminformatics. BMC Bioinform. Stephan Beisken, Thorsten Meinl, Bernd Wiswedel, Luis F. de Figueiredo, Michael R. Berthold, Christoph Steinbeck
2013	—	`conf`	Learning Precise Local Boundaries in Images from Human Tracings. ICIAP (1) Martin Horn, Michael R. Berthold
2013	—	`conf`	OpenML: A Collaborative Science Platform. ECML/PKDD (3) Jan N. van Rijn, Bernd Bischl, Luís Torgo, Bo Gao, Venkatesh Umaashankar, Simon Fischer, Patrick Winter, Bernd Wiswedel, Michael R. Berthold, Joaquin Vanschoren
2013	—	`conf`	Parallel universes. MultiClust@KDD Michael R. Berthold
2013	—	`conf`	Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification. SGAI Conf. Sebastian Peter, Frank Höppner, Michael R. Berthold
2013	—	`ed.`	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 SMPS Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz
2013	—	`conf`	The demand for consistent web-based workflow editors. WORKS@SC Sandra Gesing, Malcolm P. Atkinson, Iraklis A. Klampanos, Michelle Galea, Michael R. Berthold, Roberto Barbera, Diego Scardaci, Gábor Terstyánszky, Tamás Kiss, Péter Kacsuk
2012	—	`ch.`	(Missing) Concept Discovery in Heterogeneous Information Networks. Bisociative Knowledge Discovery Tobias Kötter, Michael R. Berthold
2012	—	`book`	Bisociative Knowledge Discovery - An Introduction to Concept, Algorithms, Tools, and Applications Bisociative Knowledge Discovery Michael R. Berthold
2012	—	`ch.`	From Information Networks to Bisociative Information Networks. Bisociative Knowledge Discovery Tobias Kötter, Michael R. Berthold
2012	—	`ch.`	From Patterns to Discoveries. Journeys to Data Mining Michael R. Berthold
2012	B	`conf`	Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval. IDA Sebastian Peter, Frank Höppner, Michael R. Berthold
2012	—	`ch.`	Node Similarities from Spreading Activation. Bisociative Knowledge Discovery Kilian Thiel, Michael R. Berthold
2012	—	`ch.`	On the Integration of Graph Exploration and Data Analysis: The Creative Exploration Toolkit. Bisociative Knowledge Discovery Stefan Haun, Tatiana Gossen, Andreas Nürnberger, Tobias Kötter, Kilian Thiel, Michael R. Berthold
2012	B	`conf`	Parallel Data Mining Revisited. Better, Not Faster. IDA Zaenal Akbar, Violeta N. Ivanova, Michael R. Berthold
2012	—	`conf`	Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval. IEEE Conf. of Intelligent Systems Sebastian Peter, Frank Höppner, Michael R. Berthold
2012	—	`ch.`	Towards Bisociative Knowledge Discovery. Bisociative Knowledge Discovery Michael R. Berthold
2012	—	`ch.`	Towards Creative Information Exploration Based on Koestler's Concept of Bisociation. Bisociative Knowledge Discovery Werner Dubitzky, Tobias Kötter, Oliver Schmidt, Michael R. Berthold
2012	—	`ch.`	Towards Discovery of Subgraph Bisociations. Bisociative Knowledge Discovery Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piatek, Michael R. Berthold
2011	C	`conf`	(Missing) Concept Discovery in Heterogeneous Information Networks. ICCC Tobias Kötter, Michael R. Berthold
2011	B	`conf`	Bisociative Discovery of Interesting Relations between Domains. IDA Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piatek, Michael R. Berthold
2011	B	`conf`	Bisociative Knowledge Discovery. IDA Michael R. Berthold
2011	J	`jnl`	Maximum-Score Diversity Selection for Early Drug Discovery. J. Chem. Inf. Model. Thorsten Meinl, Claude Ostermann, Michael R. Berthold
2011	B	`conf`	Supervised Learning in Parallel Universes Using Neighborgrams. IDA Bernd Wiswedel, Michael R. Berthold
2011	—	`conf`	Towards active segmentation of cell images. ISBI Martin Horn, Michael R. Berthold
2011	—	`conf`	Unifying Change - Towards a Framework for Detecting the Unexpected. ICDM Workshops Iris Adä, Michael R. Berthold
2011	—	`conf`	Unifying Change - Towards a Framework for Detecting the Unexpected. LWA Iris Adä, Michael R. Berthold
2010	A	`conf`	Active learning in parallel universes. CIKM Nicolas Cebron, Michael R. Berthold
2010	B	`ed.`	Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Proceedings IDA Paul R. Cohen, Niall M. Adams, Michael R. Berthold
2010	—	`conf`	CET: A Tool for Creative Exploration of Graphs. ECML/PKDD (3) Stefan Haun, Andreas Nürnberger, Tobias Kötter, Kilian Thiel, Michael R. Berthold
2010	B	`conf`	Changing the Focus of the IDA Symposium. IDA Niall M. Adams, Paul R. Cohen, Michael R. Berthold
2010	B	`conf`	Distance aware tag clouds. SMC Iris Adä, Kilian Thiel, Michael R. Berthold
2010	C	`conf`	Domain Bridging Associations Support Creativity. ICCC Tobias Kötter, Kilian Thiel, Michael R. Berthold
2010	J	`jnl`	Editorial. Int. J. Approx. Reason. Marek Z. Reformat, Michael R. Berthold
2010	—	`book`	Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data. Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn
2010	J	`jnl`	Learning in parallel universes. Data Min. Knowl. Discov. Bernd Wiswedel, Frank Höppner, Michael R. Berthold
2010	J	`jnl`	Maximum-score diversity selection for early drug discovery. J. Cheminformatics Thorsten Meinl, Claude Ostermann, Olaf Nimz, Andrea Zaliani, Michael R. Berthold
2010	A*	`conf`	Node Similarities from Spreading Activation. ICDM Kilian Thiel, Michael R. Berthold
2010	A*	`conf`	The new iris data: modular data generators. KDD Iris Adä, Michael R. Berthold
2009	J	`jnl`	Active learning for object classification: from exploration to exploitation. Data Min. Knowl. Discov. Nicolas Cebron, Michael R. Berthold
2009	A	`conf`	Crossover operators for multiobjective k-subset selection. GECCO Thorsten Meinl, Michael R. Berthold
2009	J	`jnl`	KNIME - the Konstanz information miner: version 2.0 and beyond. SIGKDD Explor. Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Peter Ohl, Kilian Thiel, Bernd Wiswedel
2009	—	`conf`	Multi-Dimensional Scaling applied to Hierarchical Rule Systems. IFSA/EUSFLAT Conf. Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold
2009	A*	`conf`	Open standards and cloud computing: KDD-2009 panel report. KDD Michael Zeller, Robert Grossman, Christoph Lingenfelder, Michael R. Berthold, Erik Marcadé, Rick Pechter, Mike Hoskins, Wayne Thompson, Rich Holada
2009	A	`conf`	Pure spreading activation is pointless. CIKM Michael R. Berthold, Ulrik Brandes, Tobias Kötter, Martin Mader, Uwe Nagel, Kilian Thiel
2009	J	`jnl`	The coming of age of artificial intelligence in medicine. Artif. Intell. Medicine Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli, Peter Szolovits, Michael R. Berthold, Riccardo Bellazzi, Ameen Abu-Hanna
2008	J	`jnl`	Adaptive prototype-based fuzzy classification. Fuzzy Sets Syst. Nicolas Cebron, Michael R. Berthold
2008	J	`jnl`	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. Thomas R. Gabriel, Michael R. Berthold
2008	B	`ed.`	Discovery Science, 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings Discovery Science Jean-François Boulicaut, Michael R. Berthold, Tamás Horváth
2008	B	`conf`	Supporting Creativity: Towards Associative Discovery of New Insights. PAKDD Michael R. Berthold, Fabian Dill, Tobias Kötter, Kilian Thiel
2007	—	`conf`	07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2007	—	`conf`	07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2007	B	`ed.`	Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings IDA Michael R. Berthold, John Shawe-Taylor, Nada Lavrac
2007	J	`jnl`	Decentralized load balancing for highly irregular search problems. Microprocess. Microsystems Giuseppe Di Fatta, Michael R. Berthold
2007	J	`jnl`	Fuzzy clustering in parallel universes. Int. J. Approx. Reason. Bernd Wiswedel, Michael R. Berthold
2007	—	`conf`	KNIME: The Konstanz Information Miner. GfKl Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Peter Ohl, Christoph Sieb, Kilian Thiel, Bernd Wiswedel
2007	—	`conf`	Learning in Parallel Universes. Parallel Universes and Local Patterns Michael R. Berthold, Bernd Wiswedel
2007	—	`ed.`	Parallel Universes and Local Patterns, 01.05. - 04.05.2007 Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2007	B	`conf`	Towards Visual Exploration of Topic Shifts. SMC Kilian Thiel, Fabian Dill, Tobias Kötter, Michael R. Berthold
2006	—	`conf`	Adaptive Active Classification of Cell Assay Images. PKDD Nicolas Cebron, Michael R. Berthold
2006	—	`ed.`	Computational Life Sciences II, Second International Symposium, CompLife 2006, Cambridge, UK, September 27-29, 2006, Proceedings CompLife Michael R. Berthold, Robert C. Glen, Ingrid Fischer
2006	—	`conf`	Context-Aware Visual Exploration of Molecular Datab. ICDM Workshops Giuseppe Di Fatta, Antonino Fiannaca, Riccardo Rizzo, Alfonso Urso, Michael R. Berthold, Salvatore Gaglio
2006	C	`conf`	Decentralized Load Balancing for Highly Irregular Search Problems. ISCC Giuseppe Di Fatta, Michael R. Berthold
2006	J	`jnl`	Dynamic Load Balancing for the Distributed Mining of Molecular Structures. IEEE Trans. Parallel Distributed Syst. Giuseppe Di Fatta, Michael R. Berthold
2006	B	`conf`	Rule Visualization based on Multi-Dimensional Scaling. FUZZ-IEEE Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold
2005	—	`ed.`	Computational Life Sciences, First International Symposium, CompLife 2005, Konstanz, Germany, September 25-27, 2005, Proceedings CompLife Michael R. Berthold, Robert C. Glen, Kay Diederichs, Oliver Kohlbacher, Ingrid Fischer
2005	—	`conf`	Data Analysis in the Life Sciences - Sparking Ideas -. PKDD Michael R. Berthold
2005	—	`conf`	Efficient Mining of Discriminative Molecular Fragments. IASTED PDCS Giuseppe Di Fatta, Michael R. Berthold
2005	B	`conf`	Exploring Hierarchical Rule Systems in Parallel Coordinates. IDA Thomas R. Gabriel, A. Simona Pintilie, Michael R. Berthold
2005	C	`conf`	High Performance Subgraph Mining in Molecular Compounds. HPCC Giuseppe Di Fatta, Michael R. Berthold
2005	J	`jnl`	Interactive exploration of fuzzy clusters using Neighborgrams. Fuzzy Sets Syst. Michael R. Berthold, Bernd Wiswedel, David E. Patterson
2005	B	`conf`	Missing Values in Fuzzy Rule Induction. SMC Thomas R. Gabriel, Michael R. Berthold
2005	C	`conf`	Molecular Fragment Mining for Drug Discovery. ECSQARU Christian Borgelt, Michael R. Berthold, David E. Patterson
2004	—	`conf`	Advanced pruning strategies to speed up mining closed molecular fragments. SMC (5) Christian Borgelt, Thorsten Meinl, Michael R. Berthold
2004	J	`jnl`	Fuzzy information granules in time series data. Int. J. Intell. Syst. Michael R. Berthold, Marco Ortolani, David E. Patterson, Frank Höppner, Ondine Callan, Heiko Hofer
2004	J	`jnl`	Guest Editorial: "Advances in intelligent data analysis". Intell. Data Anal. Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse
2004	—	`conf`	Hybrid fragment mining with MoFa and FSG. SMC (5) Thorsten Meinl, Michael R. Berthold
2004	J	`jnl`	Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation". Int. J. Approx. Reason. Thomas R. Gabriel, Michael R. Berthold
2004	J	`jnl`	Large scale mining of molecular fragments with wildcards. Intell. Data Anal. Heiko Hofer, Christian Borgelt, Michael R. Berthold
2004	B	`conf`	Towards learning in parallel universes. FUZZ-IEEE Michael R. Berthold, David E. Patterson
2003	B	`ed.`	Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings IDA Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt
2003	B	`conf`	Constructing Hierarchical Rule Systems. IDA Thomas R. Gabriel, Michael R. Berthold
2003	—	`book`	Intelligent Data Analysis, An Introduction, 2nd editon Michael R. Berthold, David J. Hand
2003	B	`conf`	Interactive exploration of fuzzy clusters using neighborgrams. FUZZ-IEEE Bernd Wiswedel, David E. Patterson, Michael R. Berthold
2003	B	`conf`	Large Scale Mining of Molecular Fragments with Wildcards. IDA Heiko Hofer, Christian Borgelt, Michael R. Berthold
2003	J	`jnl`	Mixed fuzzy rule formation. Int. J. Approx. Reason. Michael R. Berthold
2003	J	`jnl`	Visualizing fuzzy points in parallel coordinates. IEEE Trans. Fuzzy Syst. Michael R. Berthold, Lawrence O. Hall
2002	B	`conf`	Fuzzy information granules in time series data. FUZZ-IEEE Marco Ortolani, Heiko Hofer, David E. Patterson, Frank Höppner, Michael R. Berthold
2002	A*	`conf`	Mining Molecular Fragments: Finding Relevant Substructures of Molecules. ICDM Christian Borgelt, Michael R. Berthold
2002	A*	`conf`	Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods. ICDM Michael R. Berthold, Bernd Wiswedel, David E. Patterson
2001	B	`conf`	Finding clusters in parallel universes. SMC David E. Patterson, Michael R. Berthold
2000	J	`jnl`	Advances in intelligent data analysis. Intell. Data Anal. David J. Hand, Douglas H. Fisher, Michael R. Berthold
2000	J	`jnl`	Input features' impact on fuzzy decision processes. IEEE Trans. Syst. Man Cybern. Part B Rosaria Silipo, Michael R. Berthold
2000	J	`jnl`	Intelligent Data Analysis. Technometrics Michael R. Berthold, David I. Hand
2000	—	`ch.`	Learning Fuzzy Models and Potential Outliers. Computational Intelligence in Data Mining Michael R. Berthold
1999	B	`ed.`	Advances in Intelligent Data Analysis, Third International Symposium, IDA-99, Amsterdam, The Netherlands, August 1999, Proceedings IDA David J. Hand, Joost N. Kok, Michael R. Berthold
1999	J	`jnl`	Constructing fuzzy graphs from examples. Intell. Data Anal. Michael R. Berthold, Klaus-Peter Huber
1999	B	`conf`	Discriminative Power of Input Features in a Fuzzy Model. IDA Rosaria Silipo, Michael R. Berthold
1999	—	`book`	Intelligent data analysis: an introduction; with 39 tables. Michael R. Berthold
1999	—	`conf`	Learning and Rewriting in Fuzzy Rule Graphs. AGTIVE Ingrid Fischer, Manuel Koch, Michael R. Berthold
1998	J	`jnl`	Constructive training of probabilistic neural networks. Neurocomputing Michael R. Berthold, Jay Diamond
1998	J	`jnl`	Editorial: Reasoning About Data. Intell. Data Anal. Xiaohui Liu, Paul R. Cohen, Michael R. Berthold
1998	J	`jnl`	Intelligent Data Analysis: Reasoning About Data. AI Mag. Michael R. Berthold, Paul R. Cohen, Xiaohui Liu
1998	J	`jnl`	Missing Values and Learning of Fuzzy Rules. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Michael R. Berthold, Klaus-Peter Huber
1997	B	`ed.`	Advances in Intelligent Data Analysis, Reasoning about Data, Second International Symposium, IDA-97, London, UK, August 4-6, 1997, Proceedings IDA Xiaohui Liu, Paul R. Cohen, Michael R. Berthold
1997	J	`jnl`	Clustering on the Net: Applying an autoassociative neural network to computer-mediated discussions. J. Comput. Mediat. Commun. Michael R. Berthold, Fay Sudweeks, Sid Newton, Richard D. Coyne
1997	—	`conf`	Formalizing neural networks using graph transformations. ICNN Michael R. Berthold, Ingrid Fischer
1997	—	`—`	Konstruktives Training von probabilistischen neuronalen Netzen für die Musterklassifikation. Michael R. Berthold
1997	B	`conf`	Simulation Data Analysis Using Fuzzy Graphs. IDA Klaus-Peter Huber, Michael R. Berthold
1996	—	`conf`	A probabilistic extension for the DDA algorithm. ICNN Michael R. Berthold
1996	J	`jnl`	Analysis of Simulation Models with Fuzzy Graph Based Metamodeling. Perform. Evaluation Klaus-Peter Huber, Michael R. Berthold, Helena Szczerbicka
1996	Misc	`conf`	Fuzzy Graph Based Metamodeling. WSC Klaus-Peter Huber, Michael R. Berthold, Helena Szczerbicka
1995	—	`conf`	Building precise classifiers with automatic rule extraction. ICNN Klaus-Peter Huber, Michael R. Berthold
1995	—	`conf`	Typicality in computer mediated discussions-an analysis with neural networks. ICNN Michael R. Berthold, Fay Sudweeks
1994	—	`conf`	Boosting the Performance of RBF Networks with Dynamic Decay Adjustment. NIPS Michael R. Berthold, Jay Diamond
1994	—	`conf`	Ein Trainingsverfahren für Radial Basis Function Netzwerke mit dynamischer Selektion der Zentren und Adaption der Radii. Fuzzy Days Michael R. Berthold, Fridtjof Feldbusch