Michael R. Berthold

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 10

Top Venues

Karlsruhe Institute of Technology (PHD)

Education History

Karlsruhe Institute of Technology

PHD

Publications

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 (2024)
Michael R. Berthold, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann
Towards Data Science Design Patterns. IDA (2023)
Michael R. Berthold, Alexander Fillbrunn, Arno Siebes
Widening: using parallel resources to improve model quality. Data Min. Knowl. Discov. 35 (4) (2021)
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
Integration of the ImageJ Ecosystem in KNIME Analytics Platform. Frontiers Comput. Sci. 2 (2020)
Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt
Widened Learning of Index Tracking Portfolios. ICMLA (2019)
Patrick Winter, Christian Borgelt, Michael R. Berthold
Learned Feature Generation for Molecules. IDA (2018)
Oliver R. Sampson, Christian Borgelt, Michael R. Berthold
Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. IDA (2018)
Alexander Fillbrunn, Leonard Wörteler, Michael Grossniklaus, Michael R. Berthold
Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening. IDA (2017)
Michael R. Berthold, Frank Höppner
On Clustering Time Series Using Euclidean Distance and Pearson Correlation. CoRR (2016)
Oliver R. Sampson, Michael R. Berthold
Widened Learning of Bayesian Network Classifiers. IDA (2016)
Tobias Kötter, Stephan Günnemann, Christos Faloutsos, Michael R. Berthold
Extracting Taxonomies from Bipartite Graphs. WWW (Companion Volume) (2015)
Tobias Kötter, Stephan Günnemann, Michael R. Berthold, Christos Faloutsos
Automatic Taxonomy Extraction from Bipartite Graphs. ICDM (2015)
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)
Alexander Fillbrunn, Michael R. Berthold
Diversity-Driven Widening of Hierarchical Agglomerative Clustering. IDA (2015)
Thorsten Meinl, Bernd Wiswedel, Michael R. Berthold
Looking over the rim: algorithms for cheminformatics from computer scientists. J. Cheminformatics 6 (S-1) (2014)
Elisabeth Stühler, Michael R. Berthold
Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time. MCV (2014)
Tobias Kötter, Stephan Günnemann, Michael R. Berthold, Christos Faloutsos
Fault-Tolerant Concept Detection in Information Networks. PAKDD (1) (2014)
Oliver Sampson, Michael R. Berthold
Widened KRIMP: Better Performance through Diverse Parallelism. IDA (2014)
Jan N. van Rijn, Bernd Bischl, Luís 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)
Michael R. Berthold
Parallel universes. MultiClust@KDD (2013)
Stephan Beisken, Thorsten Meinl, Bernd Wiswedel, Luis F. de Figueiredo, Michael R. Berthold, Christoph Steinbeck
KNIME-CDK: Workflow-driven Cheminformatics. BMC Bioinform. 14 (2013)
Iris Adä, Michael R. Berthold
Detecting Events in Molecular Dynamics Simulations. IDA (2013)
Violeta N. Ivanova, Michael R. Berthold
Diversity-Driven Widening. IDA (2013)
Martin Horn, Michael R. Berthold
Learning Precise Local Boundaries in Images from Human Tracings. ICIAP (1) (2013)
Sebastian Peter, Frank Höppner, Michael R. Berthold
Pattern Graphs: Combining Multivariate Time Series and Labelled Interval Sequences for Classification. SGAI Conf. (2013)
Michael R. Berthold, Bernd Wiswedel, Thomas R. Gabriel
Fuzzy Logic in KNIME - Modules for Approximate Reasoning -. Int. J. Comput. Intell. Syst. 6 (sup1) (2013)
Sandra Gesing, Malcolm P. Atkinson, Iraklis A. Klampanos, Michelle Galea, Michael R. Berthold, Roberto Barbera, Diego Scardaci, Gábor Terstyánszky, Tamás Kiss, Péter Kacsuk
The demand for consistent web-based workflow editors. WORKS@SC (2013)
Iris Adä, Michael R. Berthold
EVE: a framework for event detection. Evol. Syst. 4 (1) (2013)
Sebastian Peter, Frank Höppner, Michael R. Berthold
Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval. IDA (2012)
Zaenal Akbar, Violeta N. Ivanova, Michael R. Berthold
Parallel Data Mining Revisited. Better, Not Faster. IDA (2012)
Sebastian Peter, Frank Höppner, Michael R. Berthold
Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval. IEEE Conf. of Intelligent Systems (2012)
Michael R. Berthold
Bisociative Knowledge Discovery. IDA (2011)
Iris Adä, Michael R. Berthold
Unifying Change - Towards a Framework for Detecting the Unexpected. LWA (2011)
Bernd Wiswedel, Michael R. Berthold
Supervised Learning in Parallel Universes Using Neighborgrams. IDA (2011)
Thorsten Meinl, Claude Ostermann, Michael R. Berthold
Maximum-Score Diversity Selection for Early Drug Discovery. J. Chem. Inf. Model. 51 (2) (2011)
Uwe Nagel, Kilian Thiel, Tobias Kötter, Dawid Piatek, Michael R. Berthold
Bisociative Discovery of Interesting Relations between Domains. IDA (2011)
Tobias Kötter, Michael R. Berthold
(Missing) Concept Discovery in Heterogeneous Information Networks. ICCC (2011)
Martin Horn, Michael R. Berthold
Towards active segmentation of cell images. ISBI (2011)
Iris Adä, Michael R. Berthold
Unifying Change - Towards a Framework for Detecting the Unexpected. ICDM Workshops (2011)
Marek Reformat, Michael R. Berthold
Editorial. Int. J. Approx. Reason. 51 (8) (2010)
Thorsten Meinl, Claude Ostermann, Olaf Nimz, Andrea Zaliani, Michael R. Berthold
Maximum-score diversity selection for early drug discovery. J. Cheminformatics 2 (S-1) (2010)
Stefan Haun, Andreas Nürnberger, Tobias Kötter, Kilian Thiel, Michael R. Berthold
CET: A Tool for Creative Exploration of Graphs. ECML/PKDD (3) (2010)
Iris Adä, Kilian Thiel, Michael R. Berthold
Distance aware tag clouds. SMC (2010)
Kilian Thiel, Michael R. Berthold
Node Similarities from Spreading Activation. ICDM (2010)
Tobias Kötter, Kilian Thiel, Michael R. Berthold
Domain Bridging Associations Support Creativity. ICCC (2010)
Iris Adä, Michael R. Berthold
The new iris data: modular data generators. KDD (2010)
Bernd Wiswedel, Frank Höppner, Michael R. Berthold
Learning in parallel universes. Data Min. Knowl. Discov. 21 (1) (2010)
Niall M. Adams, Paul R. Cohen, Michael R. Berthold
Changing the Focus of the IDA Symposium. IDA (2010)
Nicolas Cebron, Michael R. Berthold
Active learning in parallel universes. CIKM (2010)
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. Artif. Intell. Medicine 46 (1) (2009)
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) (2009)
Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold
Multi-Dimensional Scaling applied to Hierarchical Rule Systems. IFSA/EUSFLAT Conf. (2009)
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)
Michael R. Berthold, Ulrik Brandes, Tobias Kötter, Martin Mader, Uwe Nagel, Kilian Thiel
Pure spreading activation is pointless. CIKM (2009)
Nicolas Cebron, Michael R. Berthold
Active learning for object classification: from exploration to exploitation. Data Min. Knowl. Discov. 18 (2) (2009)
Thorsten Meinl, Michael R. Berthold
Crossover operators for multiobjective k-subset selection. GECCO (2009)
Michael R. Berthold, Fabian Dill, Tobias Kötter, Kilian Thiel
Supporting Creativity: Towards Associative Discovery of New Insights. PAKDD (2008)
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) (2008)
Nicolas Cebron, Michael R. Berthold
Adaptive prototype-based fuzzy classification. Fuzzy Sets Syst. 159 (21) (2008)
Michael R. Berthold, Bernd Wiswedel
Learning in Parallel Universes. Parallel Universes and Local Patterns (2007)
Kilian Thiel, Fabian Dill, Tobias Kötter, Michael R. Berthold
Towards Visual Exploration of Topic Shifts. SMC (2007)
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)
Bernd Wiswedel, Michael R. Berthold
Fuzzy clustering in parallel universes. Int. J. Approx. Reason. 45 (3) (2007)
Michael R. Berthold, Katharina Morik, Arno Siebes
07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns (2007)
Giuseppe Di Fatta, Michael R. Berthold
Decentralized load balancing for highly irregular search problems. Microprocess. Microsystems 31 (4) (2007)
Michael R. Berthold, Katharina Morik, Arno Siebes
07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns (2007)
Giuseppe Di Fatta, Antonino Fiannaca, Riccardo Rizzo, Alfonso Urso, Michael R. Berthold, Salvatore Gaglio
Context-Aware Visual Exploration of Molecular Datab. ICDM Workshops (2006)
Nicolas Cebron, Michael R. Berthold
Adaptive Active Classification of Cell Assay Images. PKDD (2006)
Thomas R. Gabriel, Kilian Thiel, Michael R. Berthold
Rule Visualization based on Multi-Dimensional Scaling. FUZZ-IEEE (2006)
Giuseppe Di Fatta, Michael R. Berthold
Decentralized Load Balancing for Highly Irregular Search Problems. ISCC (2006)
Giuseppe Di Fatta, Michael R. Berthold
Dynamic Load Balancing for the Distributed Mining of Molecular Structures. IEEE Trans. Parallel Distributed Syst. 17 (8) (2006)
Giuseppe Di Fatta, Michael R. Berthold
Efficient Mining of Discriminative Molecular Fragments. IASTED PDCS (2005)
Thomas R. Gabriel, A. Simona Pintilie, Michael R. Berthold
Exploring Hierarchical Rule Systems in Parallel Coordinates. IDA (2005)
Michael R. Berthold
Data Analysis in the Life Sciences - Sparking Ideas -. PKDD (2005)
Michael R. Berthold, Bernd Wiswedel, David E. Patterson
Interactive exploration of fuzzy clusters using Neighborgrams. Fuzzy Sets Syst. 149 (1) (2005)
Giuseppe Di Fatta, Michael R. Berthold
High Performance Subgraph Mining in Molecular Compounds. HPCC (2005)
Thomas R. Gabriel, Michael R. Berthold
Missing Values in Fuzzy Rule Induction. SMC (2005)
Christian Borgelt, Michael R. Berthold, David E. Patterson
Molecular Fragment Mining for Drug Discovery. ECSQARU (2005)
Michael R. Berthold, Elizabeth Bradley, Rudolf Kruse
Guest Editorial: "Advances in intelligent data analysis". Intell. Data Anal. 8 (5) (2004)
Christian Borgelt, Thorsten Meinl, Michael R. Berthold
Advanced pruning strategies to speed up mining closed molecular fragments. SMC (5) (2004)
Heiko Hofer, Christian Borgelt, Michael R. Berthold
Large scale mining of molecular fragments with wildcards. Intell. Data Anal. 8 (5) (2004)
Thorsten Meinl, Michael R. Berthold
Hybrid fragment mining with MoFa and FSG. SMC (5) (2004)
Thomas R. Gabriel, Michael R. Berthold
Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation". Int. J. Approx. Reason. 35 (2) (2004)
Michael R. Berthold, David E. Patterson
Towards learning in parallel universes. FUZZ-IEEE (2004)
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) (2004)
Michael R. Berthold, Lawrence O. Hall
Visualizing fuzzy points in parallel coordinates. IEEE Trans. Fuzzy Syst. 11 (3) (2003)
Bernd Wiswedel, David E. Patterson, Michael R. Berthold
Interactive exploration of fuzzy clusters using neighborgrams. FUZZ-IEEE (2003)
Thomas R. Gabriel, Michael R. Berthold
Constructing Hierarchical Rule Systems. IDA (2003)
Heiko Hofer, Christian Borgelt, Michael R. Berthold
Large Scale Mining of Molecular Fragments with Wildcards. IDA (2003)
Michael R. Berthold
Mixed fuzzy rule formation. Int. J. Approx. Reason. 32 (2-3) (2003)
Michael R. Berthold, Bernd Wiswedel, David E. Patterson
Neighborgram Clustering Interactive Exploration of Cluster Neighborhoods. ICDM (2002)
Christian Borgelt, Michael R. Berthold
Mining Molecular Fragments: Finding Relevant Substructures of Molecules. ICDM (2002)
Marco Ortolani, Heiko Hofer, David E. Patterson, Frank Höppner, Michael R. Berthold
Fuzzy information granules in time series data. FUZZ-IEEE (2002)
David E. Patterson, Michael R. Berthold
Finding clusters in parallel universes. SMC (2001)
Rosaria Silipo, Michael R. Berthold
Input features' impact on fuzzy decision processes. IEEE Trans. Syst. Man Cybern. Part B 30 (6) (2000)
David J. Hand, Douglas H. Fisher, Michael R. Berthold
Advances in intelligent data analysis. Intell. Data Anal. 4 (2) (2000)
Michael R. Berthold, David I. Hand
Intelligent Data Analysis. Technometrics 42 (4) (2000)
Ingrid Fischer, Manuel Koch, Michael R. Berthold
Learning and Rewriting in Fuzzy Rule Graphs. AGTIVE (1999)
Michael R. Berthold, Klaus-Peter Huber
Constructing fuzzy graphs from examples. Intell. Data Anal. 3 (1) (1999)
Rosaria Silipo, Michael R. Berthold
Discriminative Power of Input Features in a Fuzzy Model. IDA (1999)

Michael R. Berthold.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael R. Berthold