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Frank Klawonn
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- affiliation: Helmholtz Centre for Infection Research, Braunschweig, Germany
- affiliation: Ostfalia University of Applied Sciences, Wolfenbuettel, Germany
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2020 – today
- 2024
- [j49]Frank Klawonn
, Georg Hoffmann:
An Objective Function-Based Clustering Algorithm with a Closed-Form Solution and Application to Reference Interval Estimation in Laboratory Medicine. Algorithms 17(4): 143 (2024) - [j48]R.-Julius O. Heitmann
, Ninja Soeffker
, Frank Klawonn
, Marlin W. Ulmer
, Dirk C. Mattfeld
:
Accelerating value function approximations for dynamic dial-a-ride problems via dimensionality reductions. Comput. Oper. Res. 167: 106639 (2024) - 2023
- [b15]Karsten Lehn, Merijam Gotzes, Frank Klawonn:
Introduction to Computer Graphics - Using OpenGL and Java, Third Edition. Undergraduate Topics in Computer Science, Springer 2023, ISBN 978-3-031-28134-1, pp. 1-457 - 2022
- [j47]Frank Klawonn
:
Editorial: Making an impact. Integr. Comput. Aided Eng. 29(1): 1-2 (2022) - [j46]Kai Vahldiek
, Bernd Rüger, Frank Klawonn
:
Leakages in District Heating Networks - Model-Based Data Set Quality Assessment and Localization. Sensors 22(14): 5300 (2022) - [i4]Sigrun May, Sven Hartmann, Frank Klawonn:
Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes. CoRR abs/2202.00598 (2022) - 2021
- [j45]Fabian Kai-Dietrich Noering, Yannik Schröder, Konstantin Jonas, Frank Klawonn
:
Pattern discovery in time series using autoencoder in comparison to nonlearning approaches. Integr. Comput. Aided Eng. 28(3): 237-256 (2021) - [j44]Kai Vahldiek
, Libing Zhou, Wenfeng Zhu, Frank Klawonn
:
Development of a data generator for multivariate numerical data with arbitrary correlations and distributions. Intell. Data Anal. 25(4): 789-807 (2021) - [j43]Fabian Kai-Dietrich Noering, Konstantin Jonas, Frank Klawonn
:
Improving discretization based pattern discovery for multivariate time series by additional preprocessing. Intell. Data Anal. 25(5): 1051-1072 (2021) - 2020
- [b14]Michael R. Berthold
, Christian Borgelt, Frank Höppner, Frank Klawonn
, Rosaria Silipo:
Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data, Second Edition. Texts in Computer Science, Springer 2020, ISBN 978-3-030-45573-6, pp. 1-328 - [c81]Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez
, Seyed Saber Nabavi Larimi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso
, Mustafa Abduljabbar
, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker
, Georgi Gaydadjiev
, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser
, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Marcelo Pasin, Valerio Schiavoni
, Isabelly Rocha, Christian Göttel, Pascal Felber
:
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. DATE 2020: 169-174 - [c80]Dennis Pierl, Kai Vahldiek
, Julia Geißler, Bernd Rüger, Kai Michels, Frank Klawonn
, Andreas Nürnberger
:
Online model- and data-based leakage localization in district heating networks - Impact of random measurement errors. SMC 2020: 2331-2338 - [d1]Ralf Lichtinghagen, Frank Klawonn, Georg Hoffmann:
HCV data. UCI Machine Learning Repository, 2020
2010 – 2019
- 2019
- [i3]Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, S. Nabavi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Daniel Ödman, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Th. Jungeblu, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber:
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. CoRR abs/1912.01563 (2019) - 2018
- [j42]Daniel Peralta
, Christoph Bergmeir, Martin Krone, Marta Galende
, Manuel Menéndez, Gregorio Ismael Sainz Palmero
, Carlos Martínez Bertrand, Frank Klawonn
, José Manuel Benítez
:
Multiobjective Optimization for Railway Maintenance Plans. J. Comput. Civ. Eng. 32(3) (2018) - [c79]Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel Jiménez-González
, Carlos Álvarez
, Behzad Salami
, Sergi Madonar, Miquel Pericàs, Pedro Trancoso
, Micha vor dem Berge, Gunnar Billung-Meyer, Stefan Krupop, Wolfgang Christmann, Frank Klawonn
, Amani Mihklafi, Tobias Becker
, Georgi Gaydadjiev
, Hans Salomonsson
, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Vesna Nowack, Christof Fetzer, Jens Hagemeyer, Thorsten Jungeblut
, Nils Kucza, Martin Kaiser
, Mario Porrmann
, Marcelo Pasin
, Valerio Schiavoni
, Isabelly Rocha, Christian Göttel, Pascal Felber
:
LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing. CF 2018: 276-278 - [c78]Fabian Kai-Dietrich Noering, Konstantin Jonas, Frank Klawonn
:
Assessment and Adaption of Pattern Discovery Approaches for Time Series Under the Requirement of Time Warping. IDEAL (1) 2018: 285-296 - [c77]Xiaowei Kortum, Lorenz Grigull, Urs Muecke, Werner Lechner, Frank Klawonn
:
Improving the Decision Support in Diagnostic Systems Using Classifier Probability Calibration. IDEAL (1) 2018: 419-428 - [c76]Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel Jiménez-González
, Carlos Álvarez
, Behzad Salami
, Sergi Madonar, Miquel Pericàs, Pedro Trancoso
, Micha vor dem Berge, Gunnar Billung-Meyer, Stefan Krupop, Wolfgang Christmann, Frank Klawonn
, Amani Mihklafi, Tobias Becker
, Georgi Gaydadjiev
, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Elad Hadar, Yoav Etsion, Christof Fetzer, Jens Hagemeyer, Thorsten Jungeblut
, Nils Kucza, Martin Kaiser
, Mario Porrmann
, Marcelo Pasin
, Valerio Schiavoni
, Isabelly Rocha, Christian Göttel
, Pascal Felber
:
LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing. SAMOS 2018: 210-217 - 2017
- [c75]Xiaowei Kortum, Lorenz Grigull, Werner Lechner, Frank Klawonn
:
A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics. IDA 2017: 162-172 - 2016
- [j41]Nada Abidi, Raimo Franke
, Peter Findeisen, Frank Klawonn
:
Alignment of time-resolved data from high throughput experiments. J. Bioinform. Comput. Biol. 14(6): 1650030:1-1650030:16 (2016) - [j40]Lorenz Grigull
, Werner Lechner, Susanne Petri, Katja Kollewe, Reinhard Dengler, Sandra Mehmecke, Ulrike Schumacher, Thomas Lücke, Christiane Schneider-Gold
, Cornelia Köhler, Anne-Katrin Güttsches, Xiaowei Kortum, Frank Klawonn
:
Diagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial. BMC Medical Informatics Decis. Mak. 16: 31 (2016) - [c74]Tanja Heuer
, Ina Schiering
, Frank Klawonn
, Alexander Gabel, Martin Seeger:
Recognizing Time-Efficiently Local Botnet Infections - A Case Study. ARES 2016: 304-311 - [c73]Frank Klawonn
, Junxi Wang, Ina Koch
, Jörg Eberhard, Mohamed Omar:
HAUCA Curves for the Evaluation of Biomarker Pilot Studies with Small Sample Sizes and Large Numbers of Features. IDA 2016: 356-367 - [c72]Xiaowei Kortum, Lorenz Grigull, Urs Muecke, Werner Lechner, Frank Klawonn
:
Diagnosis Support for Orphan Diseases: A Case Study Using a Classifier Fusion Method. IDEAL 2016: 379-385 - [c71]Frank Klawonn
:
Exploring Data Sets for Clusters and Validating Single Clusters. KES 2016: 1381-1390 - [e5]Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings. Lecture Notes in Computer Science 9937, Springer 2016, ISBN 978-3-319-46256-1 [contents] - 2015
- [j39]Frank Klawonn
, Rudolf Kruse, Roland Winkler:
Fuzzy clustering: More than just fuzzification. Fuzzy Sets Syst. 281: 272-279 (2015) - [j38]Natalia Novoselova, Junxi Wang, Frank Klawonn
:
Optimized leaf ordering with class labels for hierarchical clustering. J. Bioinform. Comput. Biol. 13(4): 1550012:1-1550012:19 (2015) - [c70]Roland Winkler, Frank Klawonn
, Rudolf Kruse:
Prototype Based Fuzzy Clustering Algorithms in High-Dimensional Feature Spaces. A Passion for Fuzzy Sets 2015: 233-243 - [c69]Xiaowei Zhang, Frank Klawonn
, Lorenz Grigull, Werner Lechner:
VoQs: A Web Application for Visualization of Questionnaire Surveys. IDA 2015: 334-343 - 2014
- [j37]Natalia Novoselova, Cristina Della Beffa, Junxi Wang, Jialiang Li
, Frank Pessler, Frank Klawonn
:
HUM calculator and HUM package for R: easy-to-use software tools for multicategory receiver operating characteristic analysis. Bioinform. 30(11): 1635-1636 (2014) - [j36]Olga Montvida, Frank Klawonn
:
Relative cost curves: An alternative to AUC and an extension to 3-class problems. Kybernetika 50(5): 647-660 (2014) - 2013
- [b13]Rudolf Kruse, Christian Borgelt, Frank Klawonn
, Christian Moewes, Matthias Steinbrecher, Pascal Held:
Computational Intelligence - A Methodological Introduction. Texts in Computer Science, Springer 2013, ISBN 978-1-4471-5012-1, pp. I-XI, 1-490 - [j35]Frank Klawonn
, Balasubramaniam Jayaram, Katja Crull, Akiko Kukita, Frank Pessler:
Analysis of contingency tables based on generalised median polish with power transformations and non-additive models. Health Inf. Sci. Syst. 1(1): 11 (2013) - [j34]Ulrich Bodenhofer
, Martin Krone, Frank Klawonn
:
Testing noisy numerical data for monotonic association. Inf. Sci. 245: 21-37 (2013) - [c68]Martin Krone, Frank Klawonn
, Balasubramaniam Jayaram:
RaCoCl: Robust rank correlation based clustering - An exploratory study for high-dimensional data. FUZZ-IEEE 2013: 1-8 - [c67]Frank Klawonn
, Werner Lechner, Lorenz Grigull:
Case-Centred Multidimensional Scaling for Classification Visualisation in Medical Diagnosis. HIS 2013: 137-148 - [c66]Nada Abidi, Frank Klawonn
, Jörg Oliver Thumfart:
Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures. IDA 2013: 32-43 - [c65]Kemal Ince, Frank Klawonn
:
Handling Different Levels of Granularity within Naive Bayes Classifiers. IDEAL 2013: 521-528 - [c64]Katharina Tschumitschew, Frank Klawonn
:
High against Low Quantile Comparison for Biomarker and Classifier Evaluation. IDEAL 2013: 561-568 - [c63]Frank Klawonn
:
What Can Fuzzy Cluster Analysis Contribute to Clustering of High-Dimensional Data? WILF 2013: 1-14 - [p3]Roland Winkler, Frank Klawonn, Rudolf Kruse:
A New Distance Function for Prototype Based Clustering Algorithms in High Dimensional Spaces. Statistical Models for Data Analysis 2013: 371-378 - [e4]Guangyan Huang, Xiaohui Liu, Jing He, Frank Klawonn, Guiqing Yao:
Health Information Science - Second International Conference, HIS 2013, London, UK, March 25-27, 2013. Proceedings. Lecture Notes in Computer Science 7798, Springer 2013, ISBN 978-3-642-37898-0 [contents] - [e3]Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings. Lecture Notes in Computer Science 8206, Springer 2013, ISBN 978-3-642-41277-6 [contents] - [i2]Frank Klawonn, Philippe Smets:
The Dynamic of Belief in the Transferable Belief Model and Specialization-Generalization Matrices. CoRR abs/1303.5408 (2013) - [i1]Rudolf Kruse, Detlef D. Nauck, Frank Klawonn:
Reasoning with Mass Distributions. CoRR abs/1303.5726 (2013) - 2012
- [b12]Frank Klawonn:
Introduction to Computer Graphics - Using Java 2D and 3D, Second Edition. Undergraduate Topics in Computer Science, Springer 2012, ISBN 978-1-4471-2732-1, pp. I-XVIII, 1-253 - [j33]Balasubramaniam Jayaram
, Frank Klawonn
:
Can unbounded distance measures mitigate the curse of dimensionality? Int. J. Data Min. Model. Manag. 4(4): 361-383 (2012) - [j32]Frank Klawonn:
Significance tests to identify regulated proteins based on a large number of small samples. Kybernetika 48(3): 478-493 (2012) - [c62]Frank Klawonn
, Frank Höppner, Balasubramaniam Jayaram:
What are Clusters in High Dimensions and are they Difficult to Find? CHDD 2012: 14-33 - [c61]Frank Klawonn
, Katja Crull, Akiko Kukita, Frank Pessler:
Median Polish with Power Transformations as an Alternative for the Analysis of Contingency Tables with Patient Data. HIS 2012: 25-35 - [c60]Frank Klawonn
, Nada Abidi, Evelin Berger, Lothar Jänsch:
Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation. IDA 2012: 150-160 - [c59]Thorsten Johl, Manfred Nimtz, Lothar Jänsch, Frank Klawonn
:
Detecting Glycosylations in Complex Samples. AIAI (1) 2012: 234-243 - [c58]Christoph Gernert, Evelin Berger, Frank Klawonn
, Lothar Jänsch:
Tackling Misleading Peptide Regulation Fold Changes in Quantitative Proteomics. PACBB 2012: 269-276 - [c57]Balasubramaniam Jayaram
, Frank Klawonn
:
Generalised Median Polish Based on Additive Generators. SMPS 2012: 439-448 - [e2]Jaakko Hollmén, Frank Klawonn, Allan Tucker:
Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings. Lecture Notes in Computer Science 7619, Springer 2012, ISBN 978-3-642-34155-7 [contents] - 2011
- [j31]Roland Winkler, Frank Klawonn
, Rudolf Kruse:
Fuzzy c-means in High Dimensional Spaces. Int. J. Fuzzy Syst. Appl. 1(1): 1-16 (2011) - [c56]Roland Winkler, Frank Klawonn, Rudolf Kruse:
M-Estimator induced Fuzzy Clustering Algorithms. EUSFLAT Conf. 2011: 298-304 - [c55]Frank Klawonn
, Frank Höppner, Sigrun May:
An Alternative to ROC and AUC Analysis of Classifiers. IDA 2011: 210-221 - [c54]Martin Krone, Frank Klawonn
, Thorsten Lührs, Christiane Ritter:
Identification of Nuclear Magnetic Resonance Signals via Gaussian Mixture Decomposition. IDA 2011: 234-245 - [c53]Claudia Pommerenke, Benedikt Friedrich, Thorsten Johl, Lothar Jänsch, Susanne Häussler
, Frank Klawonn
:
A Modified Apriori Algorithm for Analysing High-Dimensional Gene Data. IDEAL 2011: 236-243 - [c52]Christoph Gernert, Frank Klawonn
, Lothar Jänsch:
SignalNet: Visualization of Signal Network Responses by Quantitative Proteome Data. IDEAL 2011: 361-368 - [c51]Olga Georgieva, Katharina Tschumitschew, Frank Klawonn
:
Cluster Validity Measures Based on the Minimum Description Length Principle. KES (1) 2011: 82-89 - [c50]Natalia Novoselova, Frank Klawonn
, Thorsten Johl, Tobias Reinl, Lothar Jänsch:
Identification of Peptides with Deviating Regulation Factors Using a Robust Clustering Scheme. PACBB 2011: 263-270 - 2010
- [b11]Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn
:
Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data. Texts in Computer Science 42, Springer 2010, ISBN 978-1-84882-259-7, pp. I-XIII, 1-394 - [j30]Katharina Tschumitschew, Frank Klawonn
:
Incremental quantile estimation. Evol. Syst. 1(4): 253-264 (2010) - [c49]Roland Winkler, Frank Klawonn, Rudolf Kruse:
Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets. GfKl 2010: 79-87 - [c48]Frank Klawonn
, Torsten Wüstefeld, Lars Zender:
Statistical Modelling for Data from Experiments with Short Hairpin RNAs. IDA 2010: 79-90 - [c47]Kemal Ince, Frank Klawonn
:
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity. IPMU 2010: 250-259 - [c46]Martin Krone, Frank Klawonn
:
Rank Correlation Coefficient Correction by Removing Worst Cases. IPMU (1) 2010: 356-364 - [c45]Katharina Tschumitschew, Detlef D. Nauck, Frank Klawonn
:
A Classification Algorithm for Process Sequences Based on Markov Chains and Bayesian Networks. KES (1) 2010: 141-147 - [c44]Katharina Tschumitschew, Frank Klawonn
, Nils Obermöller, Wolfhard Lawrenz:
Visualisation of Test Coverage for Conformance Tests of Low Level Communication Protocols. KES (2) 2010: 244-252
2000 – 2009
- 2009
- [j29]Claudia Hundertmark, Roman Fischer
, Tobias Reinl, Sigrun May, Frank Klawonn
, Lothar Jänsch:
MS-specific noise model reveals the potential of iTRAQ in quantitative proteomics. Bioinform. 25(8): 1004-1011 (2009) - [c43]Frank Klawonn
, Detlef D. Nauck, Katharina Tschumitschew:
Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments. HAIS 2009: 60-67 - [c42]Frank Höppner, Frank Klawonn
:
Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation. IDA 2009: 71-82 - [c41]Katharina Tschumitschew, Frank Klawonn
:
AVEDA: Statistical Tests for Finding Interesting Visualisations. KES (1) 2009: 235-242 - [p2]Roland Winkler, Frank Klawonn
, Frank Höppner, Rudolf Kruse:
Fuzzy Cluster Analysis of Larger Data Sets. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 302-331 - [r2]Frank Klawonn, Frank Rehm:
Cluster Analysis for Outlier Detection. Encyclopedia of Data Warehousing and Mining 2009: 214-218 - [r1]Frank Rehm, Frank Klawonn, Rudolf Kruse:
Visualization of High-Dimensional Data with Polar Coordinates. Encyclopedia of Data Warehousing and Mining 2009: 2062-2067 - 2008
- [b10]Frank Klawonn:
Introduction to Computer Graphics - Using Java 2D and 3D. Undergraduate Topics in Computer Science, Springer 2008, ISBN 978-1-84628-847-0, pp. i-xvii, 1-283 - [j28]Olga Georgieva, Frank Klawonn
:
Dynamic data assigning assessment clustering of streaming data. Appl. Soft Comput. 8(4): 1305-1313 (2008) - [c40]Frank Rehm, Frank Klawonn:
Improving Angle Based Mappings. ADMA 2008: 3-14 - [c39]Claudia Hundertmark, Frank Klawonn
:
Clustering Likelihood Curves: Finding Deviations from Single Clusters. HAIS 2008: 385-391 - [p1]Frank Höppner, Frank Klawonn
:
Clustering with Size Constraints. Computational Intelligence Paradigms 2008: 167-180 - [e1]Frank Hoffmann, Oscar Cordón, Plamen Angelov, Frank Klawonn:
3rd International Workshop on Genetic and Evolving Systems, GEFS 2008, Witten-Bommerholz, Germany, March 4-7, 2008. IEEE 2008, ISBN 978-1-4244-1613-4 [contents] - 2007
- [j27]Claudia Choi, Claudia Hundertmark, Bernhard Thielen, Beatrice Benkert, Richard Münch, Max Schobert, Dietmar Schomburg, Dieter Jahn, Frank Klawonn
:
Analysis of metabolome data by a maximum likelihood approach. BMC Syst. Biol. 1(S-1): P20 (2007) - [j26]Eyke Hüllermeier, Frank Klawonn
, Andreas Nürnberger
:
Editorial. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(5) (2007) - [j25]Vitaliy Kolodyazhniy, Frank Klawonn
, Katharina Tschumitschew:
A Neuro-Fuzzy Model for Dimensionality Reduction and its Application. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(5): 571-593 (2007) - [j24]Frank Rehm, Frank Klawonn
, Rudolf Kruse:
Visualization of Fuzzy Classifiers. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(5): 615-624 (2007) - [j23]Ulrich Bodenhofer
, Eyke Hüllermeier, Frank Klawonn
, Rudolf Kruse:
Special Issue on Soft Computing for Information Mining. Soft Comput. 11(5): 397-399 (2007) - [j22]Arup Kumar Nandi, Frank Klawonn
:
Detecting Ambiguities in Regression Problems using TSK Models. Soft Comput. 11(5): 467-478 (2007) - [j21]Frank Rehm, Frank Klawonn
, Rudolf Kruse:
A Novel Approach to Noise Clustering for Outlier Detection. Soft Comput. 11(5): 489-494 (2007) - [c38]Ulrich Bodenhofer, Frank Klawonn:
Towards a Robust Rank Correlation Measure for Numerical Observations on the Basis of Fuzzy Orderings. EUSFLAT Conf. (1) 2007: 321-327 - [c37]Katharina Tschumitschew, Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy:
Landscape Multidimensional Scaling. IDA 2007: 263-273 - [c36]Frank Klawonn
, Claudia Choi, Beatrice Benkert, Bernhard Thielen, Richard Münch, Max Schobert, Dietmar Schomburg
, Dieter Jahn
:
A Likelihood Ratio Test for Differential Metabolic Profiles in Multiple Intensity Measurements. KES (2) 2007: 485-492 - 2006
- [b9]Kai Michels, Frank Klawonn, Rudolf Kruse, Andreas Nürnberger:
Fuzzy Control - Fundamentals, Stability and Design of Fuzzy Controllers. Studies in Fuzziness and Soft Computing 200, Springer 2006, ISBN 978-3-540-31765-4, pp. 1-374 [contents] - [j20]Maurice Scheer, Frank Klawonn
, Richard Münch, Andreas Grote, Karsten Hiller
, Claudia Choi, Ina Koch
, Max Schobert, Elisabeth Härtig
, Ulrich Klages, Dieter Jahn
:
JProGO: a novel tool for the functional interpretation of prokaryotic microarray data using Gene Ontology information. Nucleic Acids Res. 34(Web-Server-Issue): 510-515 (2006) - [j19]Frank Klawonn
:
Reducing the number of parameters of a fuzzy system using scaling functions. Soft Comput. 10(9): 749-756 (2006) - [c35]Frank Klawonn
, Detlef D. Nauck:
Automatically Determine Initial Fuzzy Partitions for Neuro-Fuzzy Classifiers. FUZZ-IEEE 2006: 1703-1709 - [c34]Frank Rehm, Frank Klawonn
, Rudolf Kruse:
Single Cluster Visualization to Optimize Air Traffic Management. GfKl 2006: 319-325 - [c33]Frank Rehm, Frank Klawonn
, Rudolf Kruse:
Visualization of Single Clusters. ICAISC 2006: 663-671 - [c32]Frank Klawonn, Claudia Hundertmark, Lothar Jänsch:
A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in Biology. ICDM Workshops 2006: 180-184 - [c31]Frank Klawonn
, Plamen Angelov
:
Evolving Extended Naive Bayes Classifiers. ICDM Workshops 2006: 643-647 - [c30]Frank Rehm, Frank Klawonn
, Rudolf Kruse:
POLARMAP - Efficient Visualisation of High Dimensional Data. IV 2006: 731-740 - [c29]Frank Klawonn
:
Identifying Single Good Clusters in Data Sets. IWICPAS 2006: 160-167 - [c28]Frank Klawonn, Frank Höppner:
Equi-sized, Homogeneous Partitioning. KES (2) 2006: 70-77 - 2005
- [b8]Frank Klawonn:
Grundkurs Computergrafik mit Java - die Grundlagen verstehen und einfach umsetzen mit Java 3D. Vieweg 2005, ISBN 978-3-528-05919-4, pp. I-XII, 1-286 - [j18]Carla S. Möller-Levet, Frank Klawonn
, Kwang-Hyun Cho, Hujun Yin
, Olaf Wolkenhauer
:
Clustering of unevenly sampled gene expression time-series data. Fuzzy Sets Syst. 152(1): 49-66 (2005) - [j17]