Publications

Michael Berthold has published extensively on key concepts, methods, and accessible applications in data science, machine learning, and artificial intelligence.

Selected Industry Commentary

PRESS CONTACT
Placeholder cover image for Starten, lernen, verbessern - Playbook für KI-Agenten?

COMPUTERWORLD

Starten, lernen, verbessern - Playbook für KI-Agenten?

16 April 2026

Kommt Ihnen das bekannt vor? «Wir können noch keinen KI-Agenten ausrollen. Unsere Wissensdatenbank ist nicht fertig.» Solche Sätze lassen viele KI-Projekte schon im Keim ersticken und der Aufbau von KI-Agenten, die Arbeitsprozesse unterstützen sollen, wird gar nicht erst angestossen. Denn viele Unternehmen gehen von der Annahme aus, dass ein Agent Zugriff auf perfekt abgestimmte Daten und Tools benötigt, bevor er produktiv sein kann. Das muss nicht der Fall sein…

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IT DAILY

Zusammenarbeit zwischen Mensch und KI: Werden wir KI jemals vertrauen können?

13 April 2026

KI-Modelle übernehmen immer mehr Aufgaben: Sie schreiben Code, erstellen Dokumente und Filme, erkennen Fehler und entwickeln Prototypen und delegieren sogar Aufgaben an ihre „Kollegen“. Oft tun sie dies schneller, besser informiert und zuverlässiger als Menschen. Doch die eigentliche Herausforderung ist und bleibt das Vertrauen…

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Placeholder cover image for Mit KI-Agenten ist nicht einen Tag später alles effizienter?

SILICON

Mit KI-Agenten ist nicht einen Tag später alles effizienter” - Interview mit Roger Homrich

10 April 2026

Im Interview sagt Data Science- und KI-Experte Professor Dr. Michael Berthold, dass selbstlernende KI-Agenten keine perfekte Datengrundlage brauchen. Eine aktuelle Studie von Cloudflight zeigt, dass 86 Prozent der befragten Entscheider großes Potenzial in KI-Agenten sehen. Allerdings setzt nur jedes neunte deutsche Unternehmen die Technologie bereits in einer fortgeschrittenen Phase ein.

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Bigdata Insider

Bias in KI ist schlecht – oder etwa doch nicht?

4 March 2026

Bias – also Voreingenommenheit – gilt als eines der zentralen Probleme Künstlicher Intelligenz (KI). Bias kann Antworten verzerren, Diskriminierung verstärken und damit nicht nur falsche oder unvollständige Antworten erzeugen....

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Placeholder cover image for 3 risks hindering enterprise-ready AI — and how low-code workflows help

Techradar

3 risks hindering enterprise-ready AI — and how low-code workflows help

27 January 2026

You’ve likely heard of agentic AI by now: systems that can autonomously plan, execute, and adapt across tasks with “minimal” human oversight (quotations intentional here). In this, we’ve seen a shift from AI as a mere tool to now AI as a collaborator.

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The New Stack

Are Your AI Co-Pilots Trapping Data in Isolated Silos?

9 September 2025

The race is on. By now, virtually every software vendor offers some kind of AI co-pilot designed to assist users within their software. These assistants can significantly speed up daily tasks: GitHub Copilot helps write code, Microsoft Word completes sentences....

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Industry Commentary

  • Data Science – ist Künstliche Intelligenz die Zukunft der Datenarbeit? – BigData-Insider – By Michael R. Berthold – 23 December 2024 – Read more
  • Missing the T? Data Storage ETL an Oversight, says KNIME CEO – Solutions Review (Expert Insights) – By Michael R. Berthold – 30 March 2023 – Read more
  • How visual programming powers complex data science – TechRadar – By Michael R. Berthold – 1 June 2021 – Read more – Link 2

Edited Volumes

  • Berthold, Michael R.; Feelders, Ad; Krempl, Georg (Eds.) Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Springer Verlag, 2020.

  • Berthold, Michael R. (eds) Bisociative Knowledge Discovery, Springer Verlag, 2012.

  • Kruse, Rudolf; Berthold, Michael R.; Moewes, Christian; Gil, Maria Angeles; Grzegorzewiski, Przemyslaw & Hryniewicz, Olgierd (eds) "Synergies of Soft Computing and Statistics for Intelligent Data Analysis", Springer, 2012.

  • Cohen, Paul R.; Adams, Niall M. & Berthold, Michael R. (eds) "Intelligent Data Analysis IX", Springer Verlag, 2010.

  • Berthold, Michael R. & Boulicaut, Jean-Francois (eds) "Discovery Science", Springer Verlag, 2008.

  • Reformat, Marek & Berthold, Michael R. (eds) "Proceedings of the 2007 Annual Meeting of the North American Fuzzy Information Processing Society", IEEE Press, 2007.

  • Siebes, Arno; Berthold, Michael R.; Feelders, Ad & Glen, Robert C. (eds) "CompLife 2007", American Institute of Physics, 2007.

  • Berthold, Michael R.; Glen, Robert C. & Fischer, Ingrid (eds) "Computational Life Sciences II", Springer Verlag, 2006.

  • Berthold, Michael R.; Glen, Robert C.; Kohlbacher, Oliver; Diederichs, Kay & Fischer, Ingrid (eds) "Computational Life Science", Springer Verlag, 2005.

  • Hand, David J.; Kok, Joost & Berthold, Michael R. (eds) "Advances in Intelligent Data Analysis", Springer Verlag, 1999.

  • Liu, Xiaohui; Cohen, Paul & Berthold, Michael R. (eds) "Advances in Intelligent Data Analysis -- Reasoning about Data", Springer Verlag, 1997.

Peer Reviewed Publications

  • Henkel, Melanie; Fillbrunn, Alexander; Marchand, Virginie, Raghunathan, Govindan; Berthold, Michael R.; Motorin, Yuri; Marx, Andreas “A DNA Polymerase Variant Senses the Epigenetic Marker 5-Methylcytosine by Increased Misincorporation”, Angewandte Chemie, 63(48), 2024.

  • Selzer, Gabriel J.; Rueden, Curtis T.; Hiner, Mark C.; Evans, Edward L.; Kolb, David; Wiedenmann, Marcel; Birkhold, Christian; Buchholz, Tim-Oliver; Helfrich, Stefan; Northan, Brian; Walter, Alison; Schindelin, Johannes; Pietzsch, Tobias; Saalfeld, Stephan; Berthold, Michael R.; Eliceiri, Kevin W. “SciJava Ops: an improved algorithms framework for Fiji and beyond”, Frontiers in Bioinformatics 4:1435733, 2024.

  • Berthold, Michael R.; Brookhart, Dashiell; Gerber, Schalk; Hayasaka, Satoru; Widmann, Maarit “Towards Data Science Design Patterns”, Advances in Intelligent Data Analysis XXI, IDA 2023, LNCS13876:55-64, 2023.

  • Berthold, Michael R.; Fillbrunn, Alexander; Siebes, Arno “Widening: using parallel resources to improve model quality” Data Mining and Knowledge Discovery, 35:1258-1286, Springer Verlag, 2021.

  • Dietz, Christian; Rueden, Curtis T.; Helfrich, Stefan; Dobson, Ellen T. A.; Horn, Martin; Eglinger, Jan; Evans, Edward L.; McLean, Dalton T.; Berthold, Michael R.; Eliceiri, Kevin W. “Integration of the ImageJ Ecosystem in the KNIME Analytics Platform”, Frontiers in Computer Science, 2, Frontiers Media, 2020.

  • Dreser, Nadine; Holzer, Anna-Katharina; Kapitza, Marion; Scholz, Christopher; Kranaster, Petra; Gutbier, Simon; Klima, Stefanie; Kolb, David; Dietz, Christian; Trefzer, Timo; Berthold, Michael R.; Waldmann, Tanja; Leist, Marcel “Development of a neural rosette formation assay (RoFA) to identify neurodevelopmental toxicants and to characterize their transcriptome disturbances”, Archives of Toxicology, 94:151-171, Springer Science and Business Media, 2020.

  • Gavriushina, Iuliia; Sampson, Oliver; Berthold, Michael; Pohlmeier, Winfried; Borgelt, Christian “Widened Learning of Index Tracking Portfolios”, 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 1800-1805, IEEE Press, 2019.

  • Berthold, Michael R. “What Does It Take to be a Successful Data Scientist?”, Harvard Data Science Review, 1, MIT Press, 2019.

  • Sampson, Oliver R.; Borgelt, Christian; Berthold, Michael R. “Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors”, Advances in Intelligent Data Analysis XVII: 17th International Symposium, IDA 2018, LNCS11191: 264-277, Springer-Verlang, 2018.

  • Winter, Patrick; Borgelt, Christian; Berthold, Michael R. “Learned Feature Generation for Molecules”, Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, LNCS 11191: 380-391, Springer Verlag, 2018.

  • Apweiler, Rolf; Beissbarth, Tim; Berthold, Michael R.; Blüthgen, Nils; Burmeister, Yvonne; Dammann, Olaf; Deutsch, Andreas; Feuerhake, Friedrich; Franke, Andre; Wolkenhauer, Olaf „Whither systems medicine?”, Experimental & molecular medicine, 50, 2018.

  • Fillbrunn, Alexander; Dietz, Christian; Pfeuffer, Julianus; Rahn, René; Landrum, Gregory A.; Berthold, Michael R. “KNIME for reproducible cross-domain analysis of life science data”, Journal of Biotechnology, 261:149-156, 2017.

  • Fillbrunn, Alexander; Wörteler, Leonard; Grossniklaus, Michael; Berthold, Michael R. „Bucket Selection : A Model-Independent Diverse Selection Strategy for Widening”, Advances in Intelligent Data Analysis XVI, LNCS10584, 87-98, Springer-Verlag, 2017.

  • Sampson, Oliver R.; Berthold, Michael R. “Widened Learning of Bayesian Network Classifiers”, Advances in Intelligent Data Analysis XV, IDA 2016LNCS9897, 215-225, Springer-Verlag, 2016.

  • Copmans, Daniëlle; Meinl, Thorsten; Dietz, Christian; van Leeuwen, Matthijs; Ortmann, Julia; Berthold, Michael R.; de Witte, Peter A. M. “A KNIME-Based Analysis of the Zebrafish Photomotor Response Clusters the Phenotypes of 14 Classes of Neuroactive Molecules”, Journal of Biomolecular Screening, 21:427-436, 2016.

  • Dietz, Christian; Berthold, Michael R. “KNIME for Open-Source Bioimage Analysis : A Tutorial”, Focus on Bio-Image Informatics, 219:179-197, Springer-Verlag, 2016.

  • Kotter, Tobias; Gunnemann, Stephan; Berthold, Michael R.; Faloutsos, Christos, “Automatic Taxonomy Extraction from Bipartite Graphs”, 15th IEEE International Conference on Data Mining: ICDM 2015, 221-230, IEEE Press, 2015

  • Baur, Jennifer; Moreno-Villanueva, Maria; Kötter, Tobias; Sindlinger, Thilo; Bürkle, Alexander; Berthold, Michael R.; Junk, Michael “MARK-AGE data management : Cleaning, exploration and visualization of data”, Mechanisms of Ageing and Development, 151:38-44, 2015.

  • Baur, Jennifer; Kötter, Tobias; Moreno-Villanueva, Maria; Sindlinger, Thilo; Berthold, Michael R.; Bürkle, Alexander; Junk, Michael “The MARK-AGE extended database : data integration and pre-processing”, Mechanisms of Ageing and Development, 151:31-37, 2015.

  • Nicola, George; Berthold, Michael R.; Hedrick, Michael P.; Gilson, Michael K. “Connecting proteins with drug-like compounds: Open source drug discovery workflows with BindingDB and KNIME”, Database: The Journal of Biological Databases and Curation, 2015.

  • Kötter, Tobias; Günnemann, Stephan; Faloutsos, Christos; Berthold, Michael R. “Extracting Taxonomies from Bipartite Graphs”, WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web, 51-52, ACM; 2015.

  • Fillbrunn, Alexander; Berthold, Michael R. “Diversity-driven Widening of Hierarchical Agglomerative Clustering”, Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015”LNCS9385, 84-94, Springer-Verlag, 2015.

  • Aiche, Stephan; Sachsenberg, Timo; Kenar, Erhan; Walzer, Mathias; Wiswedel, Bernd; Kristl, Theresa; Boyles, Matthew; Duschl, Albert; Huber, Christian G.; Berthold, Michael R.; Reinert, Knut; Kohlbacher, Oliver „Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry”, Proteomics, 15:1443-1447, 2015.

  • Moreno-Villanueva, Maria; Kötter, Tobias; Sindlinger, Thilo; Baur, Jennifer; Oehlke, Sebastian; Bürkle, Alexander; Berthold, Michael R. “The MARK-AGE phenotypic database : Structure and strategy”, Mechanisms of Ageing and Development, 151:26-30, 2015.

  • Dreser, Nadine; Zimmer, Bastian; Dietz, Christian; Sügis, Elena; Pallocca, Giorgia; Nyffeler, Johanna; Meisig, Johannes; Blüthgen, Nils; Berthold, Michael R.; Waldmann, Tanja; Leist, Marcel “Grouping of histone deacetylase inhibitors and other toxicants disturbing neural crest migration by transcriptional profiling”, NeuroToxicology, 50:56-70, 2015

  • Kötter, Tobias; Günnemann, Stephan; Berthold, Michael R. & Faloutsos, Christos, "Fault-Tolerant Concept Detection in Information Networks" in Advances in Knowledge Discovery and Data Mining, pp. 410-421, Springer, 2014.

  • Sampson, Oliver & Berthold, Michael R., "Widened KRIMP: Better Performance through Diverse Parallelism" in Proceedings of the 13th International Symposium on Intelligent Data Analysis (IDA 2014), 2014.

  • Adä, Iris & Berthold, Michael R., "EVE: a framework for event detection" in Evolving Systems, 4(1): 61-70, Springer-Verlag, 2013.

  • Adä, Iris & Berthold, Michael R., "Detecting Events in Molecular Dynamics Simulations" in Proceedings of the 12th International Symposium on Intelligent Data Analysis (IDA 2013), 2013.

  • Beisken, Stephan; Meinl, Thorsten; Wiswedel, Bernd; de Figueiredo, Luis F; Berthold, Michael & Steinbeck, Christoph, "KNIME-CDK: Workflow-driven cheminformatics" in BMC Bioinformatics, 14(1): 257, 2013.

  • Berthold, Michael R.; Wiswedel, Bernd & Gabriel, Thomas R., "Fuzzy Logic in KNIME: Modules for Approximate Reasoning" in International Journal of Computational Intelligence Systems, 6:34-45, 2013.

  • Dietz, Christian; Horn, Martin; Fyson, Heather & Berthold, Michael R., "Integrative open-source software enables image analysis in biological sciences" in Photonik international, 2013.

  • Fillbrunn, Alexander; Adä, Iris; Gabriel, Thomas R. & Berthold, Michael R., "Ensembles and PMML in KNIME" in Proceedings of the PMML Workshop, KDD 2013, 2013.

  • Gesing, Sandra; Atkinson, Malcolm; Klampanos, Iraklis; Galea, Michelle; Berthold, Michael R.; Barbera, Robert; Scardaci, Diego; Terstyanszky, Gabor; Kiss, Tamas & Kacsuk, Peter, "The Demand for Consistent Web-Based Workflow Editors" in Processings of WORKS'13, the 8th Workshop on Workflows in Support of Large-Scale Science, 2013.

  • Horn, Martin & Berthold, Michael R., "Learning Precise Local Boundaries in Images from Human Tracings" in Image Analysis and Processing - ICIAP 2013, 8156:131-140, Springer, 2013.

  • Ivanova, Violeta & Berthold, Michael R., "Diversity-Driven Widening" in Proceedings of the 12th International Symposium on Intelligent Data Analysis (IDA 2013), 2013.

  • Peter, Sebastian; Höppner, Frank & Berthold, Michael R., "Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification" in Research and Development in Intelligent Systems, Springer, 2013.

  • Akbar, Zaenal; Ivanova, Violeta N. & Berthold, Michael R., "Parallel Data Mining Revisited. Better, Not Faster" in Proceedings of the 11th International Symposium on Intelligent Data Analysis, pp. 23-34, 2012.

  • Anzali, S.; Berthold, Michael R.; Fioravanzo, E.; Neagu, D.; P{\'e}ry, A.R.R.; Worth, A.P.; Yang, C.; MTD, M.T.D. Cronin & Richarz, A.-N., "Development of computational models for the risk assessment of cosmetic ingredients" in IFSCC Magazine, 15(4): 249-255, 2012.

  • Berthold, Michael R., "Towards Bisociative Knowledge Discovery" in Bisociative Knowledge Discovery, 7250:1 - 10, Springer Verlag, 2012.

  • Berthold, Michael R., "From Patterns to Discoveries" in Journeys to Data Mining, pp. 43 - 49, Springer Verlag, 2012.

  • Dietz, Christian; Horn, Martin & Berthold, Michael R., "Integrative Open-Source Software für die Bildanalyse in der Biologie" in BioPhotonik, pp. 38-40, 2012.

  • Dubitzky, Werner; Kötter, Tobias; Schmidt, Oliver & Berthold, Michael R., "Towards Creative Information Exploration Based on Koestler's Concept of Bisociation" in Bisociative Knowledge Discovery, 7250:11 - 32, Springer Verlag, 2012.

  • Eliceiri, Kevin W.; Berthold, Michael R.; Goldberg, Ilya G.; Ibanez, Luis; Manjunath, B. S.; Martone, Maryann E.; Murphy, Robert F.; Peng, Hanchuan; Plant, Anne L.; Roysam, Badrinath; Stuurmann, Nico; Swedlow, Jason R.; Tomancak, Pavel & Carpenter, Anne E., "Biological imaging software tools" in Nature Methods, 9:697-710, 2012.

  • Höppner, Frank; Peter, Sebastian & Berthold, Michael R., "Enriching Multivariate Temporal Patterns with Context Information to Support Classification" in Computational Intelligence in Intelligent Data Analysis, 445:195-206, Springer Berlin / Heidelberg, 2012.

  • Haun, Stefan; Gossen, Tatiana; Nürnberger, Andreas; Kötter, Tobias; Thiel, Kilian & Berthold, Michael R., "On the Integration of Graph Exploration and Data Analysis: The Creative Exploration Toolkit" in Bisociative Knowledge Discovery, 7250:301 - 312, Springer Verlag, 2012.

  • Kötter, Tobias & Berthold, Michael R., "(Missing) Concept Discovery in Heterogeneous Information Networks" in Bisociative Knowledge Discovery, 7250:230 - 245, Springer Verlag, 2012.

  • Kötter, Tobias & Berthold, Michael R., "From Information Networks to Bisociative Information Networks" in Bisociative Knowledge Discovery, 7250:33 - 50, Springer Verlag, 2012.

  • Klauser, Benedikt; Saragliadis, Athanasios; Ausl{ä}nder, Simon; Wieland, Markus; Berthold, Michael R. & Hartig, Jörg S., "Post-transcriptional Boolean computation by combining aptazymes controlling mRNA translation initiation and tRNA activation" in Molecular BioSystems, (8): 2242-2248, 2012.

  • Meinl, Thorsten; Wiswedel, Bernd & Berthold, Michael R., "Workflow tools for managing biological and chemical data" in Computational Approaches in Chemoinformatics and Bioinformatics, pp. 179-209, John Wiley & Sons, Inc., Hoboken, New Jersey, 2012.

  • Nagel, Uwe; Thiel, Kilian; Kötter, Tobias; Piatek, Dawid & Berthold, Michael R., "Towards Discovery of Subgraph Bisociations" in Bisociative Knowledge Discovery, 7250:263 - 284, Springer Verlag, 2012.

  • Peter, Sebastian; Höppner, Frank & Berthold, Michael R., "Pattern Graphs: A Knowledge-Based Tool for Multivariate Temporal Pattern Retrieval" in 6th IEEE International Conference on Intelligent Systems (IS'12), 2:67 - 73, 2012.

  • Peter, Sebastian; Höppner, Frank & Berthold, Michael R., "Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval" in Proceedings of the 11th International Symposium on Intelligent Data Analysis, pp. 264-275, 2012.

  • Thiel, Kilian & Berthold, Michael R., "Node Similarities from Spreading Activation" in Bisociative Knowledge Discovery, 7250:246 - 262, Springer Verlag, 2012.

  • Adä, Iris & Berthold, Michael R., "Unifying Change - Towards a Framework for Detecting the Unexpected" in Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on Data Mining, 2011.

  • Berthold, Michael R., "Bisociative Knowledge Discovery" in Proceedings of the 10th International Symposium on Intelligent Data Analysis (IDA 2011), (7014): 1-7, Springer-Verlag, 2011.

  • Horn, Martin & Berthold, Michael R., "Towards active segmentation of cell images" in IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 177-181, 2011.

  • Kötter, Tobias & Berthold, Michael R., "(Missing) Concept Discovery in Heterogeneous Information Networks" in Proceedings of the Second International Conference on Computational Creativity, pp. 135-140, 2011.

  • Meinl, Thorsten; Ostermann, Claude & Berthold, Michael R., "Maximum-Score Diversity Selection for Early Drug Discovery" in Journal of Chemical Information and Modeling, 51(2): 237-247, 2011.

  • Morent, Domink; Stathatos, Kostantinos; Lin, Wen-Ching & Berthold, Michael R., "Comprehensive PMML Preprocessing in KNIME" in Proceedings of the PMML Workshop, KDD 2011, 2011.

  • Nagel, Uwe; Thiel, Kilian; Kötter, Tobias; Piatek, Dawid & Berthold, Michael R., "Bisociative Discovery of Interesting Relations Between Domains" in Proceedings of the 10th International Symposium on Intelligent Data Analysis, (7014): 306-317, 2011.

  • Schimanski, Goesta; Schimanski, Esther & Berthold, Michael R., "Diagnostic Findings in Stapes Revision Surgery - Retrospective of 26 Years" in Otology & Neurotology, 32:373-383, 2011.

  • Wiswedel, Bernd & Berthold, Michael R., "Supervised Learning in Parallel Universes using Neighborgrams" in Proceedings of the 10th International Symposium on Intelligent Data Analysis, (7014): 388-400, Springer-Verlag, 2011.

  • Adä, Iris & Berthold, Michael R., "The New Iris Data: Modular Data Generators" in Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 413-422, ACM, 2010.

  • Adä, Iris; Thiel, Kilian & Berthold, Michael R., "Distance Aware Tag Clouds" in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 2316-2322, 2010.

  • Cebron, Nicolas & Berthold, Michael R., "Active Learning in Parallel Universes" in Proceedings of CIKM, the 19th Conference on Information and Knowledge Management, ACM Press, 2010.

  • Haun, Stefan; Nürnberger, Andreas; Kötter, Tobias; Thiel, Kilian & Berthold, Michael R., "CET: A Tool for Creative Exploration of Graphs" in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Springer, 2010.

  • Kötter, Tobias & Berthold, Michael R., "Concept Detection" in Proceedings of the European Conference on Computing and Philosophy 2010, pp. 163-168, 2010.

  • Kötter, Tobias; Thiel, Kilian & Berthold, Michael R., "Domain Bridging Associations Support Creativity" in Proceedings of the International Conference on Computational Creativity, pp. 200-204, 2010.

  • Reformat, Marek & Berthold, Michael R., "Editorial" in International Journal of Approximate Reasoning, 2010.

  • Thiel, Kilian & Berthold, Michael R., "Node Similarities from Spreading Activation" in Proceedings of the IEEE International Conference on Data Mining, pp. 1085-1090, 2010.

  • Wiswedel, Bernd; Hoeppner, Frank & Berthold, Michael R., "Learning in Parallel Universes" in Data Mining and Knowledge Discovery, 21:130-150, 2010.

  • Berthold, Michael R., "Einwurf: Data Mining - Daten suchen und finden?" in Praxis der Wirtschaftsinformatik, (268): 4-5, 2009.

  • Berthold, Michael R.; Brandes, Ulrik; Kötter, Tobias; Mader, Martin; Nagel, Uwe & Thiel, Kilian, "Pure Spreading Activation is Pointless" in Proceedings of the CIKM the 18th Conference on Information and Knowledge Management, pp. 1915-1919, 2009.

  • Berthold, Michael R.; Cebron, Nicolas; Dill, Fabian; Gabriel, Thomas R.; Kötter, Tobias; Meinl, Thorsten; Ohl, Peter; Thiel, Kilian & Wiswedel, Bernd, "KNIME - The Konstanz Information Miner" in SIGKDD Explorations, 11(1): , 2009.

  • Cebron, Nicolas & Berthold, Michael R., "Active Learning for Object Classification" in Data Mining and Knowledge Discovery, 18(2): 283-299, 2009.

  • Gabriel, Thomas R.; Thiel, Kilian & Berthold, Michael R., "Multi-Dimensional Scaling applied to Hierarchical Rule Systems" in Proceedings of the IFSA World Congress and the 6th Conference of EUSFLAT, pp. 944-949, 2009.

  • Meinl, Thorsten & Berthold, Michael R., "Crossover Operators for Multiobjective k-Subset Selection" in GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pp. 1809-1810, ACM, 2009.

  • Meinl, Thorsten; Cebron, Nicolas; Gabriel, Thomas R.; Dill, Fabian; Kötter, Tobias; Ohl, Peter; Thiel, Kilian; Wiswedel, Bernd & Berthold, Michael R., "The Konstanz Information Miner 2.0" in Proceedings of OSDM 2009, pp. 26-31, 2009.

  • Patel, Vimla L.; Shortliffe, Edward H.; Stefanelli, Mario; Szolovits, Peter; Berthold, Michael R.; Bellazzi, Riccardo & Abu-Hanna, Ameen, "The coming of age of artificial intelligence in medicine (Position Paper)" in Artificial Intelligence in Medicine, 46:5-17, 2009.

  • Zeller, Michael; Grossman, Robert; Lingenfelder, Christoph; Berthold, Michael R.; Marcade, Erik; Pechter, Rick; Hoskins, Mike; Thompson, Wayne & Holada, Rich, "Open standards and cloud computing: KDD-2009 panel report" in KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 11-18, ACM, 2009.

  • Berthold, Michael R.; Dill, Fabian; Kötter, Tobias & Thiel, Kilian, "Supporting Creativity: Towards Associative Discovery of New Insights" in Proceedings of PAKDD 2008, 2008.

  • Cebron, Nicolas & Berthold, Michael R., "Adaptive prototype-based fuzzy classification" in Fuzzy Sets and Systems, 159(21): 2806-2818, 2008.

  • Berthold, Michael R.; Cebron, Nicolas; Dill, Fabian; Gabriel, Thomas R.; K{ö}tter, Tobias; Meinl, Thorsten; Ohl, Peter; Sieb, Christoph; Thiel, Kilian & Wiswedel, Bernd, "KNIME: The Konstanz Information Miner" in Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., pp. 319-326, Springer, 2007.

  • Berthold, Michael R.; Cebron, Nicolas; Dill, Fabian; Gabriel, Thomas R.; Kötter, Tobias; Meinl, Thorsten; Ohl, Peter; Sieb, Christoph; Thiel, Kilian & Wiswedel, Bernd, "Open Source Data Pipelining fuer Interaktive Datenexploration" in Aktuelle Trends in der Softwareforschung (do it.software-forschungstag 2007), MFG Stiftung Baden-Wuerttemberg, 2007.

  • Berthold, Michael R. & Wiswedel, Bernd, "Learning in Parallel Universes" in Parallel Universes and Local Patterns, (7181), Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.

  • Fatta, Giuseppe Di & Berthold, Michael R., "Decentralized load balancing for highly irregular search problems" in Microprocessors and Microsystems, 31:273-281, 2007.

  • Sieb, Christoph; Meinl, Thorsten & Berthold, Michael R., "Parallel and Distributed Data Pipelining with KNIME" in The Mediterranean Journal of Computers and Networks, 3(2): 43-51, SoftMotor Ltd., 2007.

  • Thiel, Kilian; Dill, Fabian; K{ö}tter, Tobias & Berthold, Michael R., "Towards Visual Exploration of Topic Shifts" in IEEE International Conference on Systems, Man and Cybernetics, 2007.

  • Wiswedel, Bernd & Berthold, Michael R., "Fuzzy Clustering in Parallel Universes" in International Journal of Approximate Reasoning, 45(3): 439-454, 2007.

  • Wiswedel, Bernd; Patterson, David E. & Berthold, Michael R., "Interactive Exploration of Fuzzy Clusters" in Advances in Fuzzy Clustering and its Applications, pp. 123-136, John Wiley and Sons, 2007.

  • Berthold, Michael R.; Cebron, Nicolas; Dill, Fabian; Fatta, Giuseppe Di; Gabriel, Thomas R.; Georg, Florian; Meinl, Thorsten; Ohl, Peter; Sieb, Christoph & Wiswedel, Bernd, "KNIME: the Konstanz Information Miner" in Proceedings 4th Annual Industrial Simulation Conference, Workshop on Multi-Agent Systems and Simulation (ISC 2006), 2006.

  • Berthold, Michael R. & Nürnberger, Andreas, "Towards Associative Information Access" in Proceedings of AISB'06 (Adaptation in Artificial and Biological Systems), 3:98-101, University of Bristol, UK, 2006.

  • Cebron, Nicolas & Berthold, Michael R., "Adaptive Fuzzy Clustering" in Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2006), 2006.

  • Cebron, Nicolas & Berthold, Michael R., "Adaptive Active Classification of Cell Assay Images" in Lecture Notes in Computer Science, Knowledge Discovery in Databases: PKDD 2006 (PKDD/ECML), 4213:79-90, Springer Berlin / Heidelberg, 2006.

  • Fatta, Guiseppe Di & Berthold, Michael R., "Dynamic Load Balancing for the Distributed Mining of Molecular Structures" in IEEE Transactions on Parallel and Distributed Systems, Special Issue on High Performance Computational Biology, 17(8): 773-785, 2006.

  • Gabriel, Thomas R.; Thiel, Kilian & Berthold, Michael R., "Rule Visualization based on Multi-Dimensional Scaling" in IEEE International Conference on Fuzzy Systems, 2006.

  • Sieb, Christoph; Fatta, Giuseppe Di & Berthold, Michael R., "A Hierarchical Distributed Approach for Mining Molecular Fragments" in Proceedings of the International Workshop on Parallel Data Mining (PKDD/ECML 2006), pp. 25-37, 2006.

  • Berthold, Michael R., "Data Analysis in the Life Sciences: Sparking Ideas" in Knowledge Discovery in Databases, Machine Learning: PKDD/ECML 2005 (PKDD/ECML), (3720): 1, Springer-Verlag, 2005.

  • Berthold, Michael R.; Wiswedel, Bernd & Patterson, David E., "Interactive Exploration of Fuzzy Clusters Using Neighborgrams" in Fuzzy Sets and Systems, 149(1): 21-37, Elsevier, 2005.

  • Borgelt, Christian; Berthold, Michael R. & Patterson, David E., "Molecular Fragment Mining for Drug Discovery" in LNCS 3571: 1002-1013, Springer Verlag, 2005.

  • Borgelt, Christian; Meinl, Thorsten & Berthold, Michael R., "MoSS: A Program for Molecular Substructure Mining" in Proceedings of OSDM 2005 (Open Source Data Mining Workshop on Frequent Pattern Mining Implementations), pp. 6-15, 2005.

  • Cebron, Nicolas & Berthold, Michael R., "Mining of Cell Assay Images Using Active Semi-Supervised Clustering" in IEEE International Conference on Data Mining, Workshop Computational Intelligence in Data Mining (ICDM 05), pp. 63-69, 2005.

  • Fatta, Giuseppe Di & Berthold, Michael R., "High Performance Subgraph Mining in Molecular Compounds" in Proceedings of the International Conference on High Performance Computing and Communications, Springer Verlag, 2005.

  • Fatta, Giuseppe Di & Berthold, Michael R., "Efficient Mining of Discriminative Fragments" in Proceedings of International Conference on Parallel and Distributed Computing and Systems, ACTA Press, 2005.

  • Gabriel, Thomas R. & Berthold, Michael R., "Missing Values in Fuzzy Rule Induction" in IEEE Conference on Systems, Man and Cybernetics, IEEE Press, 2005.

  • Gabriel, Thomas R.; Pintilie, A. Simona & Berthold, Michael R., "Exploring Hierarchical Rule Systems in Parallel Coordinates" in Proceedings of the 6th International Symposium on Intelligent Data Analysis (IDA 2005), (3646): 97-108, Springer Verlag, 2005.

  • Morent, Dominik; Patterson, David E. & Berthold, Michael R., "Towards context-aware similarity metrics" in Proceedings of ICMLC'05 (International Conference on Machine Learning and Cybernetics), 9:5596-5598, IEEE Press, 2005.

  • Wiswedel, Bernd & Berthold, Michael R., "Fuzzy Clustering in Parallel Universes" in Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2005), pp. 567-572, 2005.

  • Wiswedel, Bernd & Berthold, Michael R., "Fuzzy Clustering in Parallel Universes with Noise Detection" in IEEE International Conference on Data Mining, Workshop Computational Intelligence in Data Mining (ICDM 05), pp. 29-37, 2005.

  • Berthold, Michael R.; Bradley, Elizabeth & Kruse, Rudolf, "Guest-Editorial: Advances in Intelligent Data Analysis" in Intelligent Data Analysis, 8(5): 437-438, 2004.

  • Berthold, Michael R.; Ortolani, Marco; Patterson, David E.; H{ö}ppner, Frank; Callan, Ondine & Hofer, Heiko, "Fuzzy Information Granules in Time Series Data" in International Journal of Intelligent Systems, 19(7): 607-618, 2004.

  • Berthold, Michael R. & Patterson, David E., "Towards Learning in Parallel Universes" in Proceedings of the 2004 IEEE Int'l Conference on Fuzzy Systems (IEEE Int'l Conference on Fuzzy Systems), 1:67-71, IEEE Press, 2004.

  • Borgelt, Christian; Meinl, Thorsten & Berthold, Michael R., "Advanced pruning strategies to speed up mining closed molecular fragments" in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 5:4565-4570, 2004.

  • Fatta, Giuseppe Di & Berthold, Michael R., "Distributed Mining of Molecular Fragments" in IEEE International Conference on Data Mining, Workshop on Data Mining and the Grid, pp. 1-9, IEEE Press, 2004.

  • Gabriel, Thomas R. & Berthold, Michael R., "Influence of fuzzy norms and other heuristics on Mixed Fuzzy Rule Formation" in International Journal of Approximate Reasoning (IJAR), 35:195-202, Elsevier, 2004.

  • Hofer, Heiko; Borgelt, Christian & Berthold, Michael R., "Large Scale Mining of Molecular Fragments with Wildcards" in Intelligent Data Analysis, 8(5): 495-504, IOS Press, 2004.

  • Meinl, Thorsten & Berthold, Michael R., "Hybrid Fragment Mining with MoFa and FSG" in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 5:4559-4564, 2004.

  • Meinl, Thorsten; Borgelt, Christian & Berthold, Michael R., "Discriminative Closed Fragment Mining and Perfect Extensions in MoFa" in STAIRS 2004 - Proceedings of the Second Starting AI Researchers' Symposium, 109:3-14, IOS Press, 2004.

  • Meinl, Thorsten; Borgelt, Christian & Berthold, Michael R., "Mining fragments with fuzzy chains in molecular databases" in Proceedings of the Workshop W7 on Mining Graphs, Trees and Sequences (MGTS '04), pp. 49-60, 2004.

  • Ortolani, Marco; Callan, Ondine; Patterson, David E. & Berthold, Michael R., "Fuzzy Subgroup Mining for Gene Associations" in Proceedings of the North American Fuzzy Information Processing Society (NAFIPS), pp. 121-126, 2004.

  • Berthold, Michael R., "Mixed Fuzzy Rule Formation" in International Journal of Approximate Reasoning (IJAR), 32:67-84, Elsevier, 2003.

  • Berthold, Michael R. & Hall, Lawrence O., "Visualizing Fuzzy Points in Parallel Coordinates" in IEEE Transactions on Fuzzy Systems, 11(3): 369-374, 2003.

  • Gabriel, Thomas R. & Berthold, Michael R., "Constructing Hierarchical Rule Systems" in Advances in Intelligent Data AnalysisProceedings of the 5th International Symposium on Intelligent Data Analysis (IDA 2003), pp. 76-87, Springer Verlag, 2003.

  • Gabriel, Thomas R. & Berthold, Michael R., "Formation of Hierarchical Fuzzy Rule Systems" in Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2003), 2003.

  • Hofer, Heiko; Borgelt, Christian & Berthold, Michael R., "Large Scale Mining of Molecular Fragments with Wildcards" in Advances in Intelligent Data Analysis V, (2810): 380-389, Springer Verlag, 2003.

  • Wiswedel, Bernd; Patterson, David E. & Berthold, Michael R., "Interactive Exploration of Fuzzy Clusters using Neighborgrams" in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2003), 2003.

  • Berthold, Michael R., "Fuzzy Logic" in Artificial Intelligence: Definition, Trends, Techniques and Cases, Eolss Publishers, 2002.

  • Berthold, Michael R.; Patterson, David E.; Ortolani, Marco; Hofer, Heiko; Hoeppner, Frank & Callan, Ondine, "Shape-Invariant Fuzzy Clustering of Proteomics Data" in Proceedings of the North American Fuzzy Information Processing Society ({NAFIPS}), pp. 52-56, 2002.

  • Berthold, Michael R.; Wiswedel, Bernd & Patterson, David E., "Neighborgram Clustering: Interactive Exploration of Cluster Neighborhoods" in Proceedings of IEEE Data Mining, pp. 581-584, 2002.

  • Borgelt, Christian & Berthold, Michael R., "Mining Molecular Fragments: Finding Relevant Substructures of Molecules" in Proceedings of the IEEE Intl. Conf. on Data Mining ICDM, pp. 51-58, IEEE Press, 2002.

  • Ortolani, Marco; Hofer, Heiko; Patterson, David E.; H{ö}ppner, Frank & Berthold, Michael R., "Fuzzy information granules in time series data" in IEEE International Conference on Fuzzy Systems, pp. 695-699, IEEE Press, 2002.

  • Berthold, Michael R., "Subsampling Conflicts to Construct Better Fuzzy Rules" in Proc. Joint 9th IFSA World Congress and 20th NAFIPS International Conference (IFSA/NAFIPS), 2:1098-1103, IEEE Press, 2001.

  • Patterson, David E. & Berthold, Michael R., "Clustering in Parallel Universes" in IEEE Conference on Systems, Man and Cybernetics, IEEE Press, 2001.

  • Silipo, Rosaria; Vergassola, R.; Zong, W. & Berthold, Michael R., "Knowledge-Based and Data-Driven Models in Arrhythmia Fuzzy Classification" in Methods of Information in Medicine, (40): 397-402, 2001.

  • Berthold, Michael R., "Learning Fuzzy Models and Potential Outliers" in Computational Intelligence in Data Mining, pp. 111-126, Springer Verlag, 2000.

  • Berthold, Michael R. & Holve, Rainer, "Visualizing High Dimensional Fuzzy Rules" in Proceedings of NAFIPS, pp. 64-68, IEEE Press, 2000.

  • Fischer, Ingrid; Koch, Manuel & Berthold, Michael R., "Learning and Rewriting Rules in Fuzzy Rule Nets" in Graph Transformation With Industrial Relevance, pp. 263-270, 2000.

  • Hall, Lawrence O. & Berthold, Michael R., "Fuzzy Parallel Coordinates" in Proceedings of NAFIPS, pp. 74-78, IEEE Press, 2000.

  • Hand, David J.; Fisher, Doug & Berthold, Michael R., "Guest-Editorial: Advances in Intelligent Data Analysis" in Intelligent Data Analysis, 4:93-95, 2000.

  • Holve, Rainer & Berthold, M. R., "Visualizing High Dimensional Fuzzy Rules" in VDI Bericht (Computational Intelligence im Industriellen Einsatz), (1526): 21-25, VDI Press, 2000.

  • Silipo, Rosaria & Berthold, Michael R., "Input Features Impact on Fuzzy Decision Processes" in IEEE Transcation on Systems, Man, and Cybernetics, Part B: Cybernetics, 30(6): 821-834, IEEE Press, 2000.

  • Berthold, Michael R., "Fuzzy Logic" in Intelligent Data Analysis: An Introduction, pp. 269-298, Springer Verlag, 1999.

  • Berthold, Michael R., "Fuzzy Models and Potential Outliers" in Proceedings of NAFIPS, pp. 532-535, IEEE Press, 1999.

  • Berthold, Michael R., "Two Stage Fuzzy Models and Potential Outliers" in Fuzzy-Neuro-Systems, pp. 41-53, Leipziger Universitätsverlag, 1999.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Constructing Fuzzy Graphs from Examples" in Intelligent Data Analysis, 3(1): 37-54, 1999.

  • Silipo, Rosaria & Berthold, Michael R., "Discriminative Power of Input Features in a Fuzzy Model" in Proc. 3rd International Symposium on Intelligent Data Analysis (IDA 1999), pp. 87-98, Springer Verlag, 1999.

  • Berthold, Michael R., "On Fuzzy Graphs and Intelligent Data Analysis" in BISC Special Interest Group in Earth Sciences Workshop, Berkeley, 1998.

  • Berthold, Michael R.; Cohen, Paul & Liu, Xiaohui, "Intelligent Data Analysis: Reasoning about Data" in AI Magazine, 19(4): , 1998.

  • Berthold, Michael R. & Diamond, Jay, "Constructive Training of Probabilistic Neural Networks" in NeuroComputing, 19:167-183, 1998.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Missing Values and Learning of Fuzzy Rules" in International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 6(2): 171-178, 1998.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Comparing Fuzzy Graphs" in Fuzzy-Neuro-Systems, pp. 234-240, infix Verlag, 1998.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Efficiently Comparing Fuzzy Graphs" in Proceedings of NAFIPS, pp. 208-211, IEEE Press, 1998.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Missing Values and Learning of Fuzzy Rules" in International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, World Scientific Publishers, 1998.

  • Berthold, Michael R.; Sudweeks, Fay; Newton, Sid & Coyne, Richard, "It makes sense: Using an autoassociative Neural Network to explore typicality in computer mediated discussions" in Network and Netplay: Virtual Groups on the Internet, pp. 191-219, AAAI/MIT Press, 1998.

  • Fischer, Ingrid; Koch, Manuel & Berthold, Michael R., "Proving Properties of Neural Networks with Graph Transformations" in IEEE International Joint Conference on Neural Networks, 1:441-446, 1998.

  • Fischer, Ingrid; Koch, Manuel & Berthold, Michael R., "Showing the Equivalence of Two Training Algorithms, Part I" in IEEE International Joint Conference on Neural Networks, 1:441-446, 1998.

  • Fischer, Ingrid; Koch, Manuel & Berthold, Michael R., "Showing the Equivalence of Two Training Algorithms, Part II" in IEEE International Joint Conference on Neural Networks, 1:447-456, 1998.

  • Fischer, Ingrid; Koch, Manuel & Berthold, Michael R., "Formalizing Neural Networks" in Fuzzy-Neuro-Systems, pp. 218-225, infix Verlag, 1998.

  • Huber, Klaus-Peter & Berthold, Michael R., "Datenbasierte Verhaltensanalyse mit Fuzzy Graphen" in Data Mining: Theoretische Aspekte und Anwendungen, Beitraege zur Wirtschaftsinformatik, Physica Verlag, 1998.

  • Huber, Klaus-Peter & Berthold, Michael R., "Application of Fuzzy Graphs for Metamodeling" in IEEE International Conference on Fuzzy Systems, 1:640-645, 1998.

  • Liu, Xiaohui; Cohen, Paul & Berthold, Michael R., "Editorial: Reasoning about Data" in Intelligent Data Analysis, 2(2): , 1998.

  • Berthold, Michael R., "Konstruktives Training Probabilistischer Neuronaler Netze für die Musterklassifikation" in , DISKI 155, infix Verlag, 1997.

  • Berthold, Michael R. & Fischer, Ingrid, "Formalizing Neural Networks using Graph Transformations" in IEEE International Conference on Neural Networks, pp. 275-280, 1997.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Tolerating Missing Values in a Fuzzy Environment" in Proceedings of the 7th IFSA World Congress (Prague), 1:359-363, 1997.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Missing Values and Learning of Fuzzy Rules" in Fuzzy-Neuro-Systems, 1997.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Constructing Fuzzy Graphs from Examples" in , 1997.

  • Berthold, Michael R.; Sudweeks, Fay; Newton, Sid & Coyne, Richard, "Clustering on the Net: Applying Autoassociative Neural Network to Computer Mediated Discussions" in Computer-Mediated Communication, 2(4): , 1997.

  • Huber, Klaus-Peter & Berthold, Michael R., "Simulation Data Analysis Using Fuzzy Graphs" in Advances in Intelligent Data Analysis - Reasoning about Data, 1280:347-358, Springer Verlag, 1997.

  • Berthold, Michael R., "A Probabilistic Extension for the DDA Algorithm" in IEEE International Conference on Neural Networks, 1:341-346, 1996.

  • Berthold, Michael R. & Huber, Klaus-Peter, "On Missing Values and Fuzzy Rules" in Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing, 1996.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Building Fuzzy Graphs from Examples" in IEEE Conference on Fuzzy Systems, 1:608-613, 1996.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Automatic Construction of Fuzzy Graphs for Function Approximation" in Proceedings of NAFIPS, pp. 319-323, 1996.

  • Sudweeks, Fay & Berthold, Michael R., "Net Conversations: Applying a Neural Network Analysis to Computer Mediated Communication" in IASTED International Conference on Modelling, Simulation, and Optimization, 1996.

  • Syrjakow, Michael; Szczerbicka, Helena; Berthold, Michael R. & Huber, Klaus-Peter, "Acceleration of Direct Model Optimization Methods by Function Approximation" in European Simulation Symposium, 2:181-186, 1996.

  • Berthold, Michael R. & Diamond, Jay, "Boosting the Performance of RBF Networks with Dynamic Decay Adjustment" in Advances in Neural Information Processing Systems, 7:521-528, The MIT Press, 1995.

  • Berthold, Michael R. & Huber, Klaus-Peter, "From Radial to Rectangular Basis Functions: A new Approach for Rule Learning from Large Datasets" in , (15/95): , 1995.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Extraction of Soft Rules from RecBF Networks" in Advances in Intelligent Data Analysis (IIAS), 1:11-15, 1995.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Neural Network based Construction of Fuzzy Graphs" in Proceedings of the Fourth Annual Conference on Fuzzy Theory and Technology (North Carolina), pp. 170-173, 1995.

  • Berthold, Michael R. & Huber, Klaus-Peter, "Extraction of Soft Rules from RecBF Networks" in Proceedings of the IDA Symposium, Baden-Baden, Germany, 1995.

  • Berthold, Michael R.; Sudweeks, Fay; Newton, Sid & Coyne, Richard, "``It makes sense'': Using an autoassociative neural network to explore typicality in computer mediated discussions" in Network and Netplay: Virtual Groups on the Internet, AAAI/MIT Press, 1995.

  • Furrer, Andreas & Berthold, Michael R., "Konstruktive Lernverfahren für Neuronale Netze mit elliptischen Basisfunktionen" in Proceedings des 3. GI-Workshops ``Fuzzy Neuro Systeme'', 1995.

  • Huber, Klaus-Peter & Berthold, Michael R., "Modellidentifikation durch Funktionsapproximation mit neuronalen RecBF-Netzwerken" in Proceedings des 3. GI-Workshops ''Fuzzy-Neuro-Systeme '95'', pp. 189-196, 1995.

  • Huber, Klaus-Peter & Berthold, Michael R., "Building Precise Classifiers with Automatic Rule Extraction" in IEEE International Conference on Neural Networks, 3:1263-1268, 1995.

  • Huber, Klaus-Peter & Berthold, Michael R., "Data Analysis with Rule Generating Learning Algorithms" in Advances in Intelligent Data Analysis, 1:80-84, IIAS, 1995.

  • Huber, Klaus-Peter & Berthold, Michael R., "Data Analysis with Rule Generating Learning Algorithms, Experimental Comparison of Two Learning Systems" in Proceedings of the IDA Symposium, Baden-Baden, Germany, 1995.

  • Tagscherer, Michael; Piekenbrock, Stefan & Berthold, Michael R., "Learning Reactive Behaviour of a Walking Machine Using RBF Networks" in Neural Computing, Research and Applications, pp. 46-53, St. Patrick's College, 1995.

  • Berthold, Michael R., "A Time Delay Radial Basis Function Network for Phoneme Recognition" in IEEE International Conference on Neural Networks, 7:4470-4473, 1994.

  • Berthold, Michael R., "The TDRBF: A Shift Invariant Radial Basis Function Network" in Irish Neural Network Conference, 1994.

  • Berthold, Michael R. & Feldbusch, Fridtjof, "Ein Trainingsverfahren für Radial Basis Function Netzwerke mit Selektion der Zentren und dynamischer Adaption der Radii" in Fuzzy Logik - Theorie und Praxis, pp. 78-85, Springer Verlag, 1994.