Claus Weihs

Affiliations:
  • Technische Universität Dortmund, Germany


According to our database1, Claus Weihs authored at least 122 papers between 1987 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2023
Editorial for ADAC issue 4 of volume 17 (2023).
Adv. Data Anal. Classif., December, 2023

Editorial for ADAC issue 3 of volume 17 (2023).
Adv. Data Anal. Classif., September, 2023

Editorial for ADAC issue 2 of volume 17 (2023).
Adv. Data Anal. Classif., June, 2023

Editorial for ADAC issue 1 of volume 17 (2023).
Adv. Data Anal. Classif., March, 2023

2022
Editorial for ADAC issue 4 of volume 16 (2022).
Adv. Data Anal. Classif., 2022

Editorial for ADAC issue 3 of volume 16 (2022).
Adv. Data Anal. Classif., 2022

2021
A new time adjusting control limits chart for concept drift detection.
IFAC J. Syst. Control., 2021

Combining Prediction and Interpretation in Decision Trees (PrInDT) - a Linguistic Example.
CoRR, 2021

Editorial for ADAC issue 4 of volume 15 (2021).
Adv. Data Anal. Classif., 2021

Editorial for ADAC issue 3 of volume 15 (2021).
Adv. Data Anal. Classif., 2021

Editorial for ADAC issue 2 of volume 15 (2021).
Adv. Data Anal. Classif., 2021

Editorial for ADAC issue 1 of volume 15 (2021).
Adv. Data Anal. Classif., 2021

2020
Editorial for ADAC issue 3 of volume 14 (2020).
Adv. Data Anal. Classif., 2020

2018
A new dynamic weighted majority control chart for data streams.
Soft Comput., 2018

Support Vector Machines for Survival Analysis with R.
R J., 2018

Data Science: the impact of statistics.
Int. J. Data Sci. Anal., 2018

Predicting measurements at unobserved locations in an electrical transmission system.
Comput. Stat., 2018

Model based optimization of a statistical simulation model for single diamond grinding.
Comput. Stat., 2018

Infill Criterion for Multimodal Model-Based Optimisation.
CoRR, 2018

Arbeitszeiten von Professorinnen und Professoren in Deutschland 2016.
AStA Wirtschafts und Sozialstatistisches Arch., 2018

A comparative study on large scale kernelized support vector machines.
Adv. Data Anal. Classif., 2018

2017
A computational study of auditory models in music recognition tasks for normal-hearing and hearing-impaired listeners.
EURASIP J. Audio Speech Music. Process., 2017

2016
Spectral Complexity Reduction of Music Signals for Mitigating Effects of Cochlear Hearing Loss.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Fast model selection by limiting SVM training times.
CoRR, 2016

Statistical analysis of sequential process chains based on Errors-in-Variables models.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Big Data Classification - Aspects on Many Features.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Analyzing the BBOB Results by Means of Benchmarking Concepts.
Evol. Comput., 2015

Evaluation of Album Effect for Feature Selection in Music Genre Recognition.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection.
Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2015

Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014
MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization.
Proceedings of the Learning and Intelligent Optimization, 2014

Big Data Classification : Aspects on Many Features and Many Observations.
Proceedings of the Analysis of Large and Complex Data, 2014

Monitoring a Dynamic Weighted Majority Method Based on Datasets with Concept Drift.
Proceedings of the Analysis of Large and Complex Data, 2014

Optimization of a Simulation for Inhomogeneous Mineral Subsoil Machining.
Proceedings of the Analysis of Large and Complex Data, 2014

Fast Model Based Optimization of Tone Onset Detection by Instance Sampling.
Proceedings of the Analysis of Large and Complex Data, 2014

2013
Identification of Risk Factors in Coronary Bypass Surgery.
Proceedings of the Algorithms from and for Nature and Life, 2013

Computational Prediction of High-Level Descriptors of Music Personal Categories.
Proceedings of the Algorithms from and for Nature and Life, 2013

Auralization of Auditory Models.
Proceedings of the Classification and Data Mining, 2013

Piano and Guitar Tone Distinction Based on Extended Feature Analysis.
Proceedings of the Classification and Data Mining, 2013

Comparison of Classical and Sequential Design of Experiments in Note Onset Detection.
Proceedings of the Algorithms from and for Nature and Life, 2013

Benchmarking local classification methods.
Comput. Stat., 2013

Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition.
Proceedings of the Data Science, 2013

2012
Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures.
Soft Comput., 2012

Tuning and evolution of support vector kernels.
Evol. Intell., 2012

Kernel k-means clustering based local support vector domain description fault detection of multimodal processes.
Expert Syst. Appl., 2012

Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation.
Evol. Comput., 2012

Editorial.
Adv. Data Anal. Classif., 2012

Music Genre Prediction by Low-Level and High-Level Characteristics.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Support Vector Machines on Large Data Sets: Simple Parallel Approaches.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Recognition of Musical Instruments in Intervals and Chords.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Benchmarking Classification Algorithms on High-Performance Computing Clusters.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

The Most Dangerous Districts of Dortmund.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Tone Onset Detection Using an Auditory Model.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

2011
Huge Music Archives on Mobile Devices.
IEEE Signal Process. Mag., 2011

Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring.
Comput. Ind. Eng., 2011

Linear dimension reduction in classification: adaptive procedure for optimum results.
Adv. Data Anal. Classif., 2011

Exploratory landscape analysis.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Control charts based on models derived from differential equations.
Qual. Reliab. Eng. Int., 2010

On the Distribution of EMOA Hypervolumes.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Medical Optimal Decision Making under Uncertainty without Assuming Independence of Symptoms.
Proceedings of the 2nd International Conference on Intelligent Networking and Collaborative Systems, 2010

A Case Study on the Use of Statistical Classification Methods in Particle Physics.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Software in Music Information Retrieval.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Bias-Variance Analysis of Local Classification Methods.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Musical Instrument Recognition by High-Level Features.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Benchmarking evolutionary multiobjective optimization algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Selecting Groups of Audio Features by Statistical Tests and the Group Lasso.
Proceedings of the 9. ITG-Fachtagung Sprachkommunikation 2010, 2010

2009
On the combination of locally optimal pairwise classifiers.
Eng. Appl. Artif. Intell., 2009

Distances in Classification.
Trans. Case Based Reason., 2009

Extending features for automatic speech recognition by means of auditory modelling.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Seventh Annual ENBIS Conference.
Qual. Reliab. Eng. Int., 2008

Detection of chatter vibration in a drilling process using multivariate control charts.
Comput. Stat. Data Anal., 2008

Vielseitig und gefragt: Absolventinnen und Absolventen des Dortmunder Studiengangs Statistik.
AStA Wirtschafts und Sozialstatistisches Arch., 2008

Local Modelling in Classification.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

Analysis of Polyphonic Musical Time Series.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Localized Logistic Regression for Categorical Influential Factors.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Dynamic Disturbances in BTA Deep-Hole Drilling: Modelling Chatter and Spiralling as Regenerative Effects.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007
Varying bending eigenfrequencies in BTA deep hole drilling: mechanical modeling using statistical parameter estimation.
Prod. Eng., 2007

Classification in music research.
Adv. Data Anal. Classif., 2007

A Comparative Study on Polyphonic Musical Time Series Using MCMC Methods.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Comparison of Local Classification Methods.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

On the Properties of the Rank Based Multivariate Exponentially Weighted Moving Average Control Charts.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Calibrating Margin-Based Classifier Scores into Polychotomous Probabilities.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Parallel Universes: Multi-Criteria Optimization.
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

2006
Local Models in Register Classification by Timbre.
Proceedings of the Data Science and Classification, 2006

Using MCMC as a Stochastic Optimization Procedure for Musical Time Series.
Proceedings of the Data Science and Classification, 2006

Local Modelling in Classification on Different Feature Subspaces.
Proceedings of the Advances in Data Mining, 2006

Vowel Classification by a Neurophysiologically Parameterized Auditory Model.
Proceedings of the Advances in Data Analysis, 2006

Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound.
Proceedings of the Advances in Data Analysis, 2006

Calibrating Classifier Scores into Probabilities.
Proceedings of the Advances in Data Analysis, 2006

Localized Linear Discriminant Analysis.
Proceedings of the Advances in Data Analysis, 2006

2005
klaR Analyzing German Business Cycles.
Proceedings of the Data Analysis and Decision Support, 2005

Improving feature extraction by replacing the Fisher criterion by an upper error bound.
Pattern Recognit., 2005

Schallanalyse Neuronale Repräsentation des Hörvorgangs als Basis.
Inform. Spektrum, 2005

Understanding Patterns with Different Subspace Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Parameter Optimization in Automatic Transcription of Music.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Spiralling in BTA Deep-hole Drilling: Models of Varying Frequencies.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Nonlinear Time Series Modelling: Monitoring a Drilling Process.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Classification-relevant Importance Measures for the West German Business Cycle.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004
Incorporating Background Knowledge for Better Prediction of Cycle Phases.
Knowl. Inf. Syst., 2004

Generation of prediction optimal projection on latent factors by a stochastic search algorithm.
Comput. Stat. Data Anal., 2004

Register Classification by Timbre.
Proceedings of the Classification, 2004

Determination of Relevant Frequencies and Modeling Varying Amplitudes of Harmonic Processes.
Proceedings of the Classification, 2004

Introduction to the Contest "Social Milieus in Dortmund".
Proceedings of the Classification, 2004

Identification of Musical Instruments by Means of the Hough-Transformation.
Proceedings of the Classification, 2004

KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results.
Proceedings of the Classification, 2004

Experimental Design for Variable Selection in Data Bases.
Proceedings of the Classification, 2004

Application and Use of Multivariate Control Charts in a BTA Deep Hole Drilling Process.
Proceedings of the Classification, 2004

In Search of Variables Distinguishing Low and High Achievers in Music Sight Reading Task.
Proceedings of the Classification, 2004

Desirability to Characterize Process Capability.
Proceedings of the Classification, 2004

Importance Assessment of Correlated Predictors in Business Cycles Classification.
Proceedings of the Classification, 2004

From Local to Global Analysis of Music Time Series.
Proceedings of the Local Pattern Detection, 2004

2003
Testing a Simulated Annealing Algorithm in a Classification Problem.
Proceedings of the Stochastic Algorithms: Foundations and Applications, 2003

2002
Direct Minimization of Error Rates in Multivariate Classification.
Comput. Stat., 2002

Stability of multivariate representation of business cycles over time.
Proceedings of the 32. Jahrestagung der Gesellschaft für Informatik, Informatik bewegt, INFORMATIK 2002, Dortmund, Germany, September 30, 2002

e-stat: Development of a Scenario for Statistics in Chemical Engineering.
Proceedings of the COMPSTAT 2002, 2002

Standardized Partition Spaces.
Proceedings of the COMPSTAT 2002, 2002

Detection of Locally Stationary Segments in Time Series.
Proceedings of the COMPSTAT 2002, 2002

1999
Structure optimization of density estimation models applied to regression problems with dynamic noise.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Optimisation of Density Estimation Models with Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1998

1987
The behavior of trust-region methods in FIML-estimation.
Computing, 1987


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