Frank Klawonn

Frank Klawonn, Frank Höppner, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

MDSpolar: A New Approach for Dimension Reduction to Visualize High Dimensional Data

Frank Klawonn, Rudolf Kruse, Frank Rehm, 2005, IDA.

Fuzzy Clustering Based on Modified Distance Measures

Frank Klawonn, Annette Keller, 1999, IDA.

JProGO: a novel tool for the functional interpretation of prokaryotic microarray data using Gene Ontology information

Frank Klawonn, Dieter Jahn, Ina Koch, 2006, Nucleic Acids Res..

Introduction to Bayes Networks

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

Example for the application of JProGO for a microarray dataset from () that investigates the influen

Frank Klawonn, Ina Koch, Dieter, 2011 .

Clustering with Size Constraints

Frank Klawonn, Frank Höppner, F. Klawonn, 2008, Computational Intelligence Paradigms.

Visualization of Fuzzy Rule Classifiers for Flight Duration Forecast

Frank Klawonn, Rudolf Kruse, Frank Rehm, 2006 .

On a Tool for Reasoning with Mass Distributions

Frank Klawonn, Rudolf Kruse, Erhard Schwecke, 1991, IJCAI.

General Neural Networks

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

Threshold Logic Units

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

HAUCA Curves for the Evaluation of Biomarker Pilot Studies with Small Sample Sizes and Large Numbers of Features

Junxi Wang, Frank Klawonn, Ina Koch, 2016, IDA.

Relative cost curves: An alternative to AUC and an extension to 3-class problems

Frank Klawonn, Olga Montvida, 2014, Kybernetika.

Fuzzy-Systeme (2. Aufl.)

Frank Klawonn, Rudolf Kruse, Jörg Gebhardt, 1995, Leitfäden der Informatik.

Fuzzy Sets and Fuzzy Logic

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

Stronger Together: Aggregated Z-values of Traditional Quality Control Measurements and Patient Medians Improve Detection of Biases.

Frank Klawonn, Andreas Bietenbeck, Peter B Luppa, 2017, Clinical chemistry.

Noise Clustering via Dynamic Data Assigning Assessment

Frank Klawonn, Olga Georgieva, Katharina Tschumitschew, 2005, EUSFLAT Conf..

A contribution to convergence theory of fuzzy c-means and derivatives

Frank Klawonn, Frank Höppner, 2003, IEEE Trans. Fuzzy Syst..

Diagnosis Support for Orphan Diseases: A Case Study Using a Classifier Fusion Method

Frank Klawonn, Xiaowei Kortum, Lorenz Grigull, 2016, IDEAL.

What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier

Frank Klawonn, Frank Höppner, F. Klawonn, 2003, IDA.

Effects of pathogen dependency in a multi-pathogen infectious disease system including population level heterogeneity – a simulation study

Frank Klawonn, André Karch, Rafael Mikolajczyk, 2017, Theoretical Biology and Medical Modelling.

Dynamic data assigning assessment clustering of streaming data

Frank Klawonn, Olga Georgieva, 2008, Appl. Soft Comput..

Foundations of fuzzy systems

Frank Klawonn, Rudolf Kruse, Jörg Gebhardt, 1994 .

Context sensitive fuzzy clustering

Frank Klawonn, Annette Keller, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

Fundamentals of Control Theory

Frank Klawonn, Rudolf Kruse, Kai Michels, 2006 .

Self-organizing Maps

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

POLARMAP - Efficient Visualisation of High Dimensional Data

Frank Klawonn, Rudolf Kruse, Frank Rehm, 2006, Tenth International Conference on Information Visualisation (IV'06).

Detecting Ambiguities in Regression Problems using TSK Models

Frank Klawonn, Arup Kumar Nandi, F. Klawonn, 2006, Soft Comput..

Radial Basis Function Networks

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

A Modified Apriori Algorithm for Analysing High-Dimensional Gene Data

Frank Klawonn, Lothar Jänsch, Claudia Pommerenke, 2011, IDEAL.

Modellierung von Vagheit und Unsicherheit

Frank Klawonn, Rudolf Kruse, Jörg Gebhardt, 1991, Künstliche Intell..

Automatically Determine Initial Fuzzy Partitions for Neuro-Fuzzy Classifiers

Frank Klawonn, Detlef D Nauck, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Practical Data Analysis: An Example

Frank Klawonn, Christian Borgelt, Michael R. Berthold, 2010 .

Generating Classification Rules by Grid Clustering

Frank Klawonn, Annette Keller, F. Klawonn, 1998 .

Decision and Regression Trees in the Context of Attributes with Dierent

Frank Klawonn, Granularity Levels, Kemal Ince, 2012 .

Cluster Analysis for Outlier Detection

Frank Klawonn, Frank Rehm, 2009, Encyclopedia of Data Warehousing and Mining.

A formal study of linearity axioms for fuzzy orderings

Frank Klawonn, Ulrich Bodenhofer, F. Klawonn, 2004, Fuzzy Sets Syst..

Multiobjective optimization for railway maintenance plans

Frank Klawonn, Daniel Peralta, José Manuel Benítez, 2018 .

Visualization of Fuzzy Classifiers

Frank Klawonn, Frank Rehm, Rudolf Kruse, 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A Neuro-Fuzzy Model for Dimensionality Reduction and its Application

Frank Klawonn, Katharina Tschumitschew, Vitaliy Kolodyazhniy, 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Prototype Based Fuzzy Clustering Algorithms in High-Dimensional Feature Spaces

Frank Klawonn, Rudolf Kruse, Roland Winkler, 2015, A Passion for Fuzzy Sets.

The Context Model from the Viewpoint of Logic

Frank Klawonn, Rudolf Kruse, Jörg Gebhardt, 1993 .

Special Effects and Virtual Reality

Frank Klawonn, 2012 .

Towards a Robust Rank Correlation Measure for Numerical Observations on the Basis of Fuzzy Orderings

Frank Klawonn, Ulrich Bodenhofer, F. Klawonn, 2007, EUSFLAT Conf..

Parametrization and Optimization of Fuzzy Controllers

Frank Klawonn, Rudolf Kruse, Andreas Nürnberger, 2006 .

Fuzzy control on the basis of equality relations with an example from idle speed control

Frank Klawonn, Rudolf Kruse, Jörg Gebhardt, 1995, IEEE Trans. Fuzzy Syst..

Identifying Single Clusters in Large Data Sets

Frank Klawonn, Olga Georgieva, 2005 .

Evolving Clustering viatheDynamicDataAssigning Assessment Algorithm

Frank Klawonn, 2006 .

Basic Principles of Two-Dimensional Graphics

Frank Klawonn, 2012 .

Landscape Multidimensional Scaling

Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy, 2007, IDA.

Visual Inspection of Fuzzy Clustering Results

Frank Klawonn, Vera Chekhtman, Edgar Janz, 2003 .

xCELLanalyzer: A Framework for the Analysis of Cellular Impedance Measurements for Mode of Action Discovery

Frank Klawonn, Raimo Franke, Mark Brönstrup, 2019, SLAS discovery : advancing life sciences R & D.

A procedure for the definition of material strength pdf based on limited NDT

Frank Klawonn, Pietro Croce, Filippo Landi, 2017 .

Fuzzy Clustering of Likelihood Curves for Finding Interesting Patterns in Expression Profiles

Frank Klawonn, Lothar Jänsch, Claudia Hundertmark, 2009 .

Handling Different Levels of Granularity within Naive Bayes Classifiers

Frank Klawonn, Kemal Ince, F. Klawonn, 2013, IDEAL.

Special Issue on Soft Computing for Information Mining

Frank Klawonn, Eyke Hüllermeier, Rudolf Kruse, 2007, Soft Comput..

Detecting Glycosylations in Complex Samples

Frank Klawonn, Lothar Jänsch, Thorsten Johl, 2012, AIAI.

Ausreißererkennung mit Fuzzy-Clustering-Methoden

Frank Klawonn, Frank Rehm, Rudolf Kruse, 2004 .

Tackling Misleading Peptide Regulation Fold Changes in Quantitative Proteomics

Frank Klawonn, Christoph Gernert, Lothar Jänsch, 2012, PACBB.

Clustering Techniques for Outlier Detection

Frank Klawonn, Frank Rehm, 2005 .

POLARMAP - a New Approach to Visualisation of High Dimensional Data

Frank Klawonn, Frank Rehm, Rudolf Kruse, 2006 .

A New Distance Function for Prototype Based Clustering Algorithms in High Dimensional Spaces

Frank Klawonn, Rudolf Kruse, Roland Winkler, 2013, Statistical Models for Data Analysis.

Fuzzy Unit Interval and Fuzzy Paths

Frank Klawonn, 1992 .

Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation

Frank Klawonn, Lothar Jänsch, Nada Abidi, 2012, IDA.

Improving the Decision Support in Diagnostic Systems Using Classifier Probability Calibration

Frank Klawonn, Xiaowei Kortum, Lorenz Grigull, 2018, IDEAL.

Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data

Frank Klawonn, Christian Borgelt, Michael R. Berthold, 2010, Texts in Computer Science.

Testing noisy numerical data for monotonic association

Frank Klawonn, Ulrich Bodenhofer, Martin Krone, 2013, Inf. Sci..

Generalised Median Polish Based on Additive Generators

Frank Klawonn, Balasubramaniam Jayaram, 2012, SMPS.

Drawing Lines and Curves

Frank Klawonn, F. Klawonn, 2012 .

SignalNet: Visualization of Signal Network Responses by Quantitative Proteome Data

Frank Klawonn, Christoph Gernert, Lothar Jänsch, 2011, IDEAL.

Evolving Extended Naive Bayes Classifiers

Frank Klawonn, Plamen P. Angelov, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Frank Klawonn, Rudolf Kruse, F. Klawonn, 2008 .

Clustering Likelihood Curves: Finding Deviations from Single Clusters

Frank Klawonn, Claudia Hundertmark, 2008, HAIS.

External quality assessment schemes for glucose measurements in Germany: factors for successful participation, analytical performance and medical impact

Frank Klawonn, Michael Spannagl, Christof Winter, 2018, Clinical chemistry and laboratory medicine.

Detecting ambiguities in regression using TSK models

Frank Klawonn, Arup Kumar Nandi, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Fuzzy Control - Fundamentals, Stability and Design of Fuzzy Controllers

Frank Klawonn, Rudolf Kruse, Andreas Nürnberger, 2006, Studies in Fuzziness and Soft Computing.

Fundamentals of Fuzzy Systems

Frank Klawonn, Rudolf Kruse, Andreas Nürnberger, 2006 .

GEFS: 2008 3rd international workshop on genetic and evolutionary fuzzy systems

Frank Klawonn, Oscar Cordón, Plamen Angelov, 2008 .

Fuzzy clustering with evolutionary algorithms

Frank Klawonn, Annette Keller, F. Klawonn, 1998, Int. J. Intell. Syst..

The relation between inference and interpolation in the framework of fuzzy systems

Frank Klawonn, Vilém Novák, F. Klawonn, 1996, Fuzzy Sets Syst..

A fuzzy controller for idle speed regulation

Frank Klawonn, Rudolf Kruse, Jörg Gebhardt, 1994, SAC '94.

Special Applications and Techniques

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

Detecting and identifying ambiguities in regression problems: An approach using a modified mountain method

Frank Klawonn, Arup Kumar Nandi, F. Klawonn, 2005, Intell. Data Anal..

Reasoning with Mass Distributions and the Context Model

Frank Klawonn, Rudolf Kruse, Jörg Gebhardt, 1991, ECSQARU.

Fuzzy clustering: More than just fuzzification

Frank Klawonn, Rudolf Kruse, Roland Winkler, 2015, Fuzzy Sets Syst..

Fuzzy c-means in High Dimensional Spaces

Frank Klawonn, Rudolf Kruse, Roland Winkler, 2011, Int. J. Fuzzy Syst. Appl..

Lukasiewicz logic based Prolog

Frank Klawonn, Rudolf Kruse, 1994 .

Modelling Three-Dimensional Objects

Frank Klawonn, 2012 .

Finding informative rules in interval sequences

Frank Klawonn, Frank Höppner, F. Klawonn, 2001, Intell. Data Anal..

Similarity in fuzzy reasoning

Frank Klawonn, Juan Luis Castro Peña, F. Klawonn, 1995 .

Computational Intelligence

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013, Texts in Computer Science.

Soft Computing: Methodologies and Applications (Advances in Soft Computing) (Advances in Soft Computing)

Frank Klawonn, Frank Hoffmann, Mario Köppen, 2005 .

An alternative approach to the fuzzifier in fuzzy clustering to obtain better clustering

Frank Klawonn, Frank Höppner, 2003, EUSFLAT Conf..

The Inherent Indistinguishability in Fuzzy Systems

Frank Klawonn, Rudolf Kruse, F. Klawonn, 2004, Logic versus Approximation.

Grundkurs Computergrafik mit Java - die Grundlagen verstehen und einfach umsetzen mit Java 3D

Frank Klawonn, 2005 .

The Extension Principle

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

On the axiomatic justification of Dempster's rule of combination

Frank Klawonn, Erhard Schwecke, 1992, Int. J. Intell. Syst..

Identification of Peptides with Deviating Regulation Factors Using a Robust Clustering Scheme

Natalia Novoselova, Frank Klawonn, Lothar Jänsch, 2011, PACBB.

Modellierung von Unsicherheit aus der Sicht der Logik

Frank Klawonn, F. Klawonn, 1992 .

Modifications of genetic algorithms for designing and optimizing fuzzy controllers

Frank Klawonn, Rudolf Kruse, Jens Kinzel, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments

Frank Klawonn, Detlef D. Nauck, Katharina Tschumitschew, 2009, HAIS.

Multi-Layer Perceptrons

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

Improving Angle Based Mappings

Frank Klawonn, Frank Rehm, 2008, ADMA.

Fuzzy Cluster Analysis of Larger Data Sets

Frank Klawonn, Rudolf Kruse, Roland Winkler, 2009, Scalable Fuzzy Algorithms for Data Management and Analysis.

Incremental Statistical Measures

Frank Klawonn, Katharina Tschumitschew, F. Klawonn, 2012 .

Neuronale Netze und Fuzzy-Systeme - Grundlagen des Konnektionismus, neuronaler Fuzzy-Systeme und der Kopplung mit wissensbasierten Methoden

Frank Klawonn, Rudolf Kruse, Detlef D. Nauck, 1994, Artificial intelligence - Künstliche Intelligenz.

Extracting Fuzzy Classification Rules from Fuzzy Clusters on the Basis of Separating Hyperplanes

Frank Klawonn, Birka von Schmidt, 2003 .

Improving Air Traffic Management with Visual Data Analysis

Frank Klawonn, Rudolf Kruse, Frank Rehm, 2007 .

ANALYSIS OF SEQUENTIAL DATA IN TOOL MANUFACTURING OF VOLKSWAGEN AG

Frank Klawonn, Thomas Schneider, Kemal Ince, 2013 .

Visualization of High-Dimensional Data with Polar Coordinates

Frank Klawonn, Rudolf Kruse, Frank Rehm, 2009, Encyclopedia of Data Warehousing and Mining.

Learning the Rule Base of a Fuzzy Controller by a Genetic Algorithm

Frank Klawonn, Jörn Hopf, F. Klawonn, 1994 .

Selbstlernende Fuzzy-Controller auf der Basis Genetischer Algorithmen

Frank Klawonn, Jörn Hopf, F. Klawonn, 1993 .

VoQs: A Web Application for Visualization of Questionnaire Surveys

Frank Klawonn, Lorenz Grigull, Werner Lechner, 2015, IDA.

Learning indistinguishability from data

Frank Klawonn, Patrik Eklund, Frank Höppner, 2002, Soft Comput..

Combining Neural Networks and Fuzzy Controllers

Frank Klawonn, Rudolf Kruse, Detlef D. Nauck, 1993, FLAI.

Learning Graphical Models

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

Elements of Probability and Graph Theory

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

An Alternative to ROC and AUC Analysis of Classifiers

Frank Klawonn, Frank Höppner, Sigrun May, 2011, IDA.

Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data

Frank Klawonn, Michael R. Berthold, Frank Höppner, 2020, Texts in Computer Science.

MS-specific noise model reveals the potential of iTRAQ in quantitative proteomics

Frank Klawonn, R. Fischer, Lothar Jänsch, 2009, Bioinform..

Elements of Evolutionary Algorithms

Frank Klawonn, Christian Borgelt, Rudolf Kruse, 2013 .

High against Low Quantile Comparison for Biomarker and Classifier Evaluation

Frank Klawonn, Katharina Tschumitschew, F. Klawonn, 2013, IDEAL.

Computational Intelligence: A Methodological Introduction

Frank Klawonn, Christian Braune, Matthias Steinbrecher, 2015, Texts in Computer Science.

Analysis of metabolome data by a maximum likelihood approach

Frank Klawonn, Dieter Jahn, Dietmar Schomburg, 2007, BMC Systems Biology.

Fuzzy Clustering of Macroarray Data

Frank Klawonn, Olga Georgieva, Elisabeth Härtig, 2004, Fuzzy Days.

Stability Analysis of Fuzzy Controllers

Frank Klawonn, Rudolf Kruse, Andreas Nürnberger, 2006 .

Clustering of unevenly sampled gene expression time-series data

Frank Klawonn, Kwang-Hyun Cho, Olaf Wolkenhauer, 2005, Fuzzy Sets Syst..

Introduction to Computer Graphics - Using Java 2D and 3D

Frank Klawonn, 2008, Undergraduate Topics in Computer Science.

Statistical Modelling for Data from Experiments with Short Hairpin RNAs

Frank Klawonn, Torsten Wüstefeld, Lars Zender, 2010, IDA.

M-Estimator induced Fuzzy Clustering Algorithms

Frank Klawonn, Rudolf Kruse, Roland Winkler, 2011, EUSFLAT Conf..

Diagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial

Frank Klawonn, Xiaowei Kortum, Lorenz Grigull, 2016, BMC Medical Informatics and Decision Making.

Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity

Frank Klawonn, Kemal Ince, 2010, IPMU.

Evolutionäre Algorithmen - genetische Algorithmen, Strategien und Optimierungsverfahren, Beispielanwendungen

Frank Klawonn, Rudolf Kruse, Frank Klawonn, 2004 .

Design of Fuzzy Controllers

Frank Klawonn, Rudolf Kruse, Andreas Nürnberger, 2006 .

Book review: Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory by John Earman (MIT Press Cambridge, MA 1992)

Frank Klawonn, F. Klawonn, 1993, SGAR.

Illumination and Shading

Frank Klawonn, 2012 .

Adaptation of Cluster Sizes in Objective Function Based Fuzzy Clustering Technology

Frank Klawonn, Annette Keller, 2002 .

Improving discretization based pattern discovery for multivariate time series by additional preprocessing

Frank Klawonn, Fabian Kai-Dietrich Noering, Konstantin Jonas, 2021, Intell. Data Anal..

Editorial: Making an impact

Frank Klawonn, F. Klawonn, 2021, Integr. Comput. Aided Eng..

Pattern discovery in time series using autoencoder in comparison to nonlearning approaches

Frank Klawonn, Fabian Kai-Dietrich Noering, Konstantin Jonas, 2021, Integr. Comput. Aided Eng..

ShinySurfer: A tool for visualization and statistical analysis of cortical parameters

Frank Klawonn, Sandra Klawitter, Yixiao Cai, 2021 .

Development of a data generator for multivariate numerical data with arbitrary correlations and distributions

Frank Klawonn, Libing Zhou, Kai Vahldiek, 2021, Intell. Data Anal..

Fuzzy Shell Cluster Analysis

Frank Klawonn, Rudolf Kruse, F. Klawonn, 1997 .

Fuzzy partitions and transformations

Frank Klawonn, Rudolf Kruse, 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

High-Resolution Taxonomic Profiling of the Subgingival Microbiome for Biomarker Discovery and Periodontitis Diagnosis

Frank Klawonn, Christa Meisinger, Ruy Jáuregui, 2014, Applied and Environmental Microbiology.

Prolog extensions to many-valued logics

Frank Klawonn, F. Klawonn, 1995 .

Gene expression changes in the host response between resistant and susceptible inbred mouse strains after influenza A infection.

Natalia Novoselova, Frank Klawonn, Klaus Schughart, 2010, Microbes and infection.

Systems of Information Granules

Frank Klawonn, F. Klawonn, Frank Höeppner, 2008 .

Patient’s Experience in Pediatric Primary Immunodeficiency Disorders: Computerized Classification of Questionnaires

Frank Klawonn, Xiaowei Kortum, Lorenz Grigull, 2017, Front. Immunol..

Clustering Methods in Fuzzy Control

Frank Klawonn, Rudolf Kruse, F. Klawonn, 1996 .

Effects of drift and noise on the optimal sliding window size for data stream regression models

Frank Klawonn, Katharina Tschumitschew, F. Klawonn, 2017 .

Fuzzy Sets , Fuzzy Controllers , and Neural NetworksDetlef Nauck

Frank Klawonn, F. Klawonn, Rudolf, 1992 .

Similarity Based Reasoning

Frank Klawonn, F. Klawonn, 1995 .

Diagnostic needs for rare diseases and shared prediagnostic phenomena: Results of a German-wide expert Delphi survey

Frank Klawonn, Xiaowei Kortum, Lorenz Grigull, 2017, PloS one.

Fuzzy clustering with polynomial fuzzifier function in connection with m-estimators

Frank Klawonn, Rudolf Kruse, Roland Winkler, 2011 .

Robust rank correlation coefficients on the basis of fuzzy

Frank Klawonn, Ulrich Bodenhofer, F. Klawonn, 2008, SOCO 2008.

Transcriptome-Wide High-Density Microarray Analysis Reveals Differential Gene Transcription in Periprosthetic Tissue From Hips With Chronic Periprosthetic Joint Infection vs Aseptic Loosening.

Frank Klawonn, Christian Krettek, Stephan Brand, 2017, The Journal of arthroplasty.

Linearity Axioms for Fuzzy Orderings : Concepts , Properties , and Difficulties

Frank Klawonn, Ulrich Bodenhofer, F. Klawonn, 2000 .

Evolving Extended Naı̈ve Bayes Classifiers

Frank Klawonn, .

Mass distributions on L -fuzzy sets and families of frames of discernment

Frank Klawonn, Rudolf Kruse, F. Klawonn, 1994 .