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Claus Weihs
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- affiliation: Technische Universität Dortmund, Germany
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2020 – today
- 2024
- [j47]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 18 (2024). Adv. Data Anal. Classif. 18(2): 245-249 (2024) - 2023
- [j46]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 1 of volume 17 (2023). Adv. Data Anal. Classif. 17(1): 1-4 (2023) - [j45]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 2 of volume 17 (2023). Adv. Data Anal. Classif. 17(2): 287-290 (2023) - [j44]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 17 (2023). Adv. Data Anal. Classif. 17(3): 545-548 (2023) - [j43]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 4 of volume 17 (2023). Adv. Data Anal. Classif. 17(4): 823-827 (2023) - 2022
- [j42]Maurizio Vichi, Andrea Ceroli, Hans A. Kestler
, Akinori Okada, Claus Weihs:
Editorial for ADAC issue 3 of volume 16 (2022). Adv. Data Anal. Classif. 16(3): 487-490 (2022) - [j41]Maurizio Vichi, Andrea Ceroli, Hans A. Kestler
Editorial for ADAC issue 4 of volume 16 (2022). Adv. Data Anal. Classif. 16(4): 817-821 (2022) - 2021
- [j40]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 1 of volume 15 (2021). Adv. Data Anal. Classif. 15(1): 1-4 (2021) - [j39]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 2 of volume 15 (2021). Adv. Data Anal. Classif. 15(2): 261-265 (2021) - [j38]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 3 of volume 15 (2021). Adv. Data Anal. Classif. 15(3): 543-546 (2021) - [j37]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 4 of volume 15 (2021). Adv. Data Anal. Classif. 15(4): 825-828 (2021) - [j36]Dhouha Mejri
A new time adjusting control limits chart for concept drift detection. IFAC J. Syst. Control. 17: 100170 (2021) - [i4]Claus Weihs, Sarah Buschfeld:
Combining Prediction and Interpretation in Decision Trees (PrInDT) - a Linguistic Example. CoRR abs/2103.02336 (2021) - 2020
- [j35]Maurizio Vichi, Andrea Cerioli, Hans A. Kestler
Editorial for ADAC issue 3 of volume 14 (2020). Adv. Data Anal. Classif. 14(3): 513-515 (2020)
2010 – 2019
- 2018
- [j34]Daniel Horn
A comparative study on large scale kernelized support vector machines. Adv. Data Anal. Classif. 12(4): 867-883 (2018) - [j33]Claus Weihs, Tanja Hernández Rodríguez
Arbeitszeiten von Professorinnen und Professoren in Deutschland 2016. AStA Wirtschafts und Sozialstatistisches Arch. 12(2): 135-177 (2018) - [j32]Swetlana Herbrandt
Model based optimization of a statistical simulation model for single diamond grinding. Comput. Stat. 33(3): 1127-1143 (2018) - [j31]Dirk Surmann, Uwe Ligges
Predicting measurements at unobserved locations in an electrical transmission system. Comput. Stat. 33(3): 1159-1172 (2018) - [j30]Claus Weihs, Katja Ickstadt:
Data Science: the impact of statistics. Int. J. Data Sci. Anal. 6(3): 189-194 (2018) - [j29]Césaire J. K. Fouodo, Inke R. König, Claus Weihs, Andreas Ziegler, Marvin N. Wright
Support Vector Machines for Survival Analysis with R. R J. 10(1): 412 (2018) - [j28]Dhouha Mejri
A new dynamic weighted majority control chart for data streams. Soft Comput. 22(2): 511-522 (2018) - [i3]Dirk Surmann, Uwe Ligges, Claus Weihs:
Infill Criterion for Multimodal Model-Based Optimisation. CoRR abs/1810.02118 (2018) - 2017
- [j27]Klaus Friedrichs
A computational study of auditory models in music recognition tasks for normal-hearing and hearing-impaired listeners. EURASIP J. Audio Speech Music. Process. 2017: 7 (2017) - 2016
- [j26]Anil M. Nagathil
Spectral Complexity Reduction of Music Signals for Mitigating Effects of Cochlear Hearing Loss. IEEE ACM Trans. Audio Speech Lang. Process. 24(3): 445-458 (2016) - [c67]Claus Weihs:
Big Data Classification - Aspects on Many Features. Solving Large Scale Learning Tasks 2016: 139-147 - [c66]Oliver Meyer, Claus Weihs:
Statistical analysis of sequential process chains based on Errors-in-Variables models. SSCI 2016: 1-7 - [i2]Aydin Demircioglu, Daniel Horn, Tobias Glasmachers, Bernd Bischl, Claus Weihs:
Fast model selection by limiting SVM training times. CoRR abs/1602.03368 (2016) - 2015
- [j25]Olaf Mersmann
Analyzing the BBOB Results by Means of Benchmarking Concepts. Evol. Comput. 23(1): 161-185 (2015) - [c65]Daniel Horn, Tobias Wagner, Dirk Biermann
Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark. EMO (1) 2015: 64-78 - [c64]Igor Vatolkin
Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection. EvoMUSART 2015: 236-248 - [c63]Igor Vatolkin, Günter Rudolph, Claus Weihs:
Evaluation of Album Effect for Feature Selection in Music Genre Recognition. ISMIR 2015: 169-175 - 2014
- [c62]Claus Weihs, Daniel Horn, Bernd Bischl:
Big Data Classification : Aspects on Many Features and Many Observations. ECDA 2014: 113-122 - [c61]Dhouha Mejri
Monitoring a Dynamic Weighted Majority Method Based on Datasets with Concept Drift. ECDA 2014: 241-250 - [c60]Nadja Bauer
Fast Model Based Optimization of Tone Onset Detection by Instance Sampling. ECDA 2014: 461-472 - [c59]Swetlana Herbrandt
Optimization of a Simulation for Inhomogeneous Mineral Subsoil Machining. ECDA 2014: 487-496 - [c58]Bernd Bischl, Simon Wessing, Nadja Bauer
MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization. LION 2014: 173-186 - 2013
- [j24]Bernd Bischl, Julia Schiffner, Claus Weihs:
Benchmarking local classification methods. Comput. Stat. 28(6): 2599-2619 (2013) - [c57]Daniel Stoller, Matthias Mauch, Igor Vatolkin
Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition. ECDA 2013: 411-421 - [p8]Markus Eichhoff, Igor Vatolkin, Claus Weihs:
Piano and Guitar Tone Distinction Based on Extended Feature Analysis. Classification and Data Mining 2013: 215-224 - [p7]Klaus Friedrichs, Claus Weihs:
Auralization of Auditory Models. Classification and Data Mining 2013: 225-232 - [p6]Julia Schiffner, Erhard Godehardt, Stefanie Hillebrand, Alexander Albert, Artur Lichtenberg, Claus Weihs:
Identification of Risk Factors in Coronary Bypass Surgery. Algorithms from and for Nature and Life 2013: 287-295 - [p5]Nadja Bauer
Comparison of Classical and Sequential Design of Experiments in Note Onset Detection. Algorithms from and for Nature and Life 2013: 501-509 - [p4]Günther Rötter, Igor Vatolkin, Claus Weihs:
Computational Prediction of High-Level Descriptors of Music Personal Categories. Algorithms from and for Nature and Life 2013: 529-537 - 2012
- [j23]Hans-Hermann Bock, Wolfgang Gaul, Akinori Okada, Maurizio Vichi, Claus Weihs:
Editorial. Adv. Data Anal. Classif. 6(2): 81-83 (2012) - [j22]Hans-Hermann Bock, Wolfgang Gaul, Akinori Okada, Maurizio Vichi, Claus Weihs:
Editorial. Adv. Data Anal. Classif. 6(3): 161-162 (2012) - [j21]Bernd Bischl, Olaf Mersmann
Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation. Evol. Comput. 20(2): 249-275 (2012) - [j20]Issam Ben Khediri, Claus Weihs, Mohamed Limam:
Kernel k-means clustering based local support vector domain description fault detection of multimodal processes. Expert Syst. Appl. 39(2): 2166-2171 (2012) - [j19]Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein
Tuning and evolution of support vector kernels. Evol. Intell. 5(3): 153-170 (2012) - [j18]Igor Vatolkin
Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures. Soft Comput. 16(12): 2027-2047 (2012) - [c56]Tim Beige, Thomas Terhorst, Claus Weihs, Holger Wormer:
The Most Dangerous Districts of Dortmund. GfKl 2012: 13-21 - [c55]Bernd Bischl, Julia Schiffner, Claus Weihs:
Benchmarking Classification Algorithms on High-Performance Computing Clusters. GfKl 2012: 23-31 - [c54]Oliver Meyer, Bernd Bischl, Claus Weihs:
Support Vector Machines on Large Data Sets: Simple Parallel Approaches. GfKl 2012: 87-95 - [c53]Igor Vatolkin
Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition. GfKl 2012: 171-178 - [c52]Nadja Bauer
Tone Onset Detection Using an Auditory Model. GfKl 2012: 315-324 - [c51]Markus Eichhoff, Claus Weihs:
Recognition of Musical Instruments in Intervals and Chords. GfKl 2012: 333-341 - [c50]Igor Vatolkin
Music Genre Prediction by Low-Level and High-Level Characteristics. GfKl 2012: 427-434 - 2011
- [j17]Karsten Luebke, Claus Weihs:
Linear dimension reduction in classification: adaptive procedure for optimum results. Adv. Data Anal. Classif. 5(3): 201-213 (2011) - [j16]Ben Khediri Issam, Mohamed Limam, Claus Weihs:
Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring. Comput. Ind. Eng. 61(3): 437-446 (2011) - [j15]Holger Blume
Huge Music Archives on Mobile Devices. IEEE Signal Process. Mag. 28(4): 24-39 (2011) - [c49]Olaf Mersmann, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs, Günter Rudolph:
Exploratory landscape analysis. GECCO 2011: 829-836 - 2010
- [j14]Claus Weihs, Amor Messaoud, Nils Raabe:
Control charts based on models derived from differential equations. Qual. Reliab. Eng. Int. 26(8): 807-816 (2010) - [c48]Bernd Bischl, Markus Eichhoff, Claus Weihs:
Selecting Groups of Audio Features by Statistical Tests and the Group Lasso. Sprachkommunikation 2010: 1-4 - [c47]Olaf Mersmann, Heike Trautmann, Boris Naujoks
Benchmarking evolutionary multiobjective optimization algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c46]Julia Schiffner, Bernd Bischl, Claus Weihs:
Bias-Variance Analysis of Local Classification Methods. GfKl 2010: 49-57 - [c45]Claus Weihs, Olaf Mersmann
A Case Study on the Use of Statistical Classification Methods in Particle Physics. GfKl 2010: 69-77 - [c44]Markus Eichhoff, Claus Weihs:
Musical Instrument Recognition by High-Level Features. GfKl 2010: 373-381 - [c43]Claus Weihs, Klaus Friedrichs, Markus Eichhoff, Igor Vatolkin:
Software in Music Information Retrieval. GfKl 2010: 421-432 - [c42]Israa Al-Qaysi, Rainer Unland, Claus Weihs, Cherif Branki:
Medical Optimal Decision Making under Uncertainty without Assuming Independence of Symptoms. INCoS 2010: 238-243 - [c41]Olaf Mersmann
On the Distribution of EMOA Hypervolumes. LION 2010: 333-337
2000 – 2009
- 2009
- [j13]Claus Weihs, Gero Szepannek:
Distances in Classification. Trans. Case Based Reason. 2(1): 3-14 (2009) - [j12]Gero Szepannek
On the combination of locally optimal pairwise classifiers. Eng. Appl. Artif. Intell. 22(1): 79-85 (2009) - [c40]Gero Szepannek, Tamás Harczos, Frank Klefenz, Claus Weihs:
Extending features for automatic speech recognition by means of auditory modelling. EUSIPCO 2009: 1235-1239 - [c39]Claus Weihs, Gero Szepannek
Distances in Classification. ICDM 2009: 1-12 - 2008
- [j11]Magdalena Thöne, Claus Weihs:
Vielseitig und gefragt: Absolventinnen und Absolventen des Dortmunder Studiengangs Statistik. AStA Wirtschafts und Sozialstatistisches Arch. 2(1-2): 75-92 (2008) - [j10]Amor Messaoud, Claus Weihs, Franz Hering:
Detection of chatter vibration in a drilling process using multivariate control charts. Comput. Stat. Data Anal. 52(6): 3208-3219 (2008) - [j9]Joachim Kunert
Seventh Annual ENBIS Conference. Qual. Reliab. Eng. Int. 24(6): 625 (2008) - [c38]Julia Schiffner, Gero Szepannek
Localized Logistic Regression for Categorical Influential Factors. GfKl 2008: 185-195 - [c37]Katrin Sommer, Claus Weihs:
Analysis of Polyphonic Musical Time Series. GfKl 2008: 429-437 - [c36]Nils Raabe, Dirk Enk, Dirk Biermann
Dynamic Disturbances in BTA Deep-Hole Drilling: Modelling Chatter and Spiralling as Regenerative Effects. GfKl 2008: 745-754 - [c35]Gero Szepannek
Local Modelling in Classification. ICDM 2008: 153-164 - 2007
- [j8]Claus Weihs, Uwe Ligges
Classification in music research. Adv. Data Anal. Classif. 1(3): 255-291 (2007) - [j7]Klaus Weinert, Claus Weihs, Oliver Webber, Nils Raabe:
Varying bending eigenfrequencies in BTA deep hole drilling: mechanical modeling using statistical parameter estimation. Prod. Eng. 1(2): 127-134 (2007) - [c34]Martin Gebel, Claus Weihs:
Calibrating Margin-Based Classifier Scores into Polychotomous Probabilities. GfKl 2007: 29-36 - [c33]Julia Schiffner, Claus Weihs:
Comparison of Local Classification Methods. GfKl 2007: 69-76 - [c32]Katrin Sommer, Claus Weihs:
A Comparative Study on Polyphonic Musical Time Series Using MCMC Methods. GfKl 2007: 285-292 - [c31]Amor Messaoud, Claus Weihs:
On the Properties of the Rank Based Multivariate Exponentially Weighted Moving Average Control Charts. GfKl 2007: 455-462 - [c30]Gero Szepannek
On the Combination of Locally Optimal Pairwise Classifiers. MLDM 2007: 104-116 - [i1]Claus Weihs, Heike Trautmann:
Parallel Universes: Multi-Criteria Optimization. Parallel Universes and Local Patterns 2007 - 2006
- [c29]Irina Czogiel, Karsten Luebke, Marc Zentgraf, Claus Weihs:
Localized Linear Discriminant Analysis. GfKl 2006: 133-140 - [c28]Martin Gebel, Claus Weihs:
Calibrating Classifier Scores into Probabilities. GfKl 2006: 141-148 - [c27]Katrin Sommer, Claus Weihs:
Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound. GfKl 2006: 645-652 - [c26]Gero Szepannek
Vowel Classification by a Neurophysiologically Parameterized Auditory Model. GfKl 2006: 653-660 - [c25]Gero Szepannek
Local Modelling in Classification on Different Feature Subspaces. ICDM 2006: 226-238 - [p3]Katrin Sommer, Claus Weihs:
Using MCMC as a Stochastic Optimization Procedure for Musical Time Series. Data Science and Classification 2006: 307-314 - [p2]Claus Weihs, Gero Szepannek
Local Models in Register Classification by Timbre. Data Science and Classification 2006: 315-322 - 2005
- [j6]Gero Szepannek
Schallanalyse Neuronale Repräsentation des Hörvorgangs als Basis. Inform. Spektrum 28(5): 389-395 (2005) - [j5]Karsten Luebke, Claus Weihs:
Improving feature extraction by replacing the Fisher criterion by an upper error bound. Pattern Recognit. 38(11): 2220-2223 (2005) - [c24]Amor Messaoud, Claus Weihs, Franz Hering:
Nonlinear Time Series Modelling: Monitoring a Drilling Process. GfKl 2005: 302-309 - [c23]Daniel Enache, Claus Weihs, Ursula Garczarek:
Classification-relevant Importance Measures for the West German Business Cycle. GfKl 2005: 470-477 - [c22]Nils Raabe, Oliver Webber, Winfried Theis, Claus Weihs:
Spiralling in BTA Deep-hole Drilling: Models of Varying Frequencies. GfKl 2005: 510-517 - [c21]Gero Szepannek
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse. GfKl 2005: 700-707 - [c20]Claus Weihs, Uwe Ligges
Parameter Optimization in Automatic Transcription of Music. GfKl 2005: 740-747 - [c19]Gero Szepannek
Understanding Patterns with Different Subspace Classification. MLDM 2005: 110-119 - [p1]Claus Weihs, Uwe Ligges
klaR Analyzing German Business Cycles. Data Analysis and Decision Support 2005: 335-343 - [e1]Claus Weihs, Wolfgang Gaul:
Classification - the Ubiquitous Challenge, Proceedings of the 28th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Dortmund, March 9-11, 2004. Studies in Classification, Data Analysis, and Knowledge Organization, Springer 2005, ISBN 978-3-540-25677-9 [contents] - 2004
- [j4]Karsten Luebke, Claus Weihs:
Generation of prediction optimal projection on latent factors by a stochastic search algorithm. Comput. Stat. Data Anal. 47(2): 297-310 (2004) - [j3]Ursula Garczarek, Claus Weihs:
Incorporating Background Knowledge for Better Prediction of Cycle Phases. Knowl. Inf. Syst. 6(5): 544-569 (2004) - [c18]Claus Weihs, Uwe Ligges
From Local to Global Analysis of Music Time Series. Local Pattern Detection 2004: 217-231 - [c17]Constanze Pumplün, Claus Weihs, Andrea Preusser:
Experimental Design for Variable Selection in Data Bases. GfKl 2004: 192-199 - [c16]Nils Raabe, Karsten Luebke, Claus Weihs:
KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results. GfKl 2004: 200-207 - [c15]Daniel Enache, Claus Weihs:
Importance Assessment of Correlated Predictors in Business Cycles Classification. GfKl 2004: 545-552 - [c14]Reinhard Kopiez, Claus Weihs, Uwe Ligges
In Search of Variables Distinguishing Low and High Achievers in Music Sight Reading Task. GfKl 2004: 593-599 - [c13]Christian Röver
Identification of Musical Instruments by Means of the Hough-Transformation. GfKl 2004: 608-615 - [c12]Claus Weihs, Christoph Reuter
Register Classification by Timbre. GfKl 2004: 624-631 - [c11]Jutta Jessenberger, Claus Weihs:
Desirability to Characterize Process Capability. GfKl 2004: 640-647 - [c10]Amor Messaoud, Winfried Theis, Claus Weihs, Franz Hering:
Application and Use of Multivariate Control Charts in a BTA Deep Hole Drilling Process. GfKl 2004: 648-655 - [c9]Winfried Theis, Claus Weihs:
Determination of Relevant Frequencies and Modeling Varying Amplitudes of Harmonic Processes. GfKl 2004: 656-663 - [c8]Ernst-Otto Sommerer, Claus Weihs:
Introduction to the Contest "Social Milieus in Dortmund". GfKl 2004: 667-673 - 2003
- [c7]Karsten Luebke, Claus Weihs:
Testing a Simulated Annealing Algorithm in a Classification Problem. SAGA 2003: 61-70 - 2002
- [j2]Michael C. Röhl, Claus Weihs, Winfried Theis:
Direct Minimization of Error Rates in Multivariate Classification. Comput. Stat. 17(1): 29-46 (2002) - [c6]Uwe Ligges
Detection of Locally Stationary Segments in Time Series. COMPSTAT 2002: 285-290 - [c5]Claus Weihs, Martin Kappler:
e-stat: Development of a Scenario for Statistics in Chemical Engineering. COMPSTAT 2002: 327-332 - [c4]Ursula Sondhauß, Claus Weihs:
Standardized Partition Spaces. COMPSTAT 2002: 539-544 - [c3]Claus Weihs, Ursula Garczarek:
Stability of multivariate representation of business cycles over time. GI Jahrestagung 2002: 787-792
1990 – 1999
- 1999
- [c2]Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen:
Structure optimization of density estimation models applied to regression problems with dynamic noise. AISTATS 1999 - 1998
- [c1]Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen:
Optimisation of Density Estimation Models with Evolutionary Algorithms. PPSN 1998: 998-1007
1980 – 1989
- 1987
- [j1]Claus Weihs, Giorgio Calzolari, Lorenzo Panattoni:
The behavior of trust-region methods in FIML-estimation. Computing 38(2): 89-100 (1987)
Coauthor Index
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