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2020 – today
- 2023
[j28]Iven Van Mechelen
, Anne-Laure Boulesteix, Rainer Dangl, Nema Dean, Christian Hennig, Friedrich Leisch, Douglas L. Steinley, Matthijs J. Warrens:
A white paper on good research practices in benchmarking: The case of cluster analysis. WIREs Data. Mining. Knowl. Discov. 13(6) (2023)- 2020
- [j27]Rainer Dangl, Friedrich Leisch:
Effects of Resampling in Determining the Number of Clusters in a Data Set. J. Classif. 37(3): 558-583 (2020)
2010 – 2019
- 2019
- [j26]Weksi Budiaji, Friedrich Leisch:
Simple K-Medoids Partitioning Algorithm for Mixed Variable Data. Algorithms 12(9): 177 (2019) - 2017
- [j25]Christina Yassouridis, Friedrich Leisch:
Benchmarking different clustering algorithms on functional data. Adv. Data Anal. Classif. 11(3): 467-492 (2017) - [j24]Sarah Brockhaus, Michael Melcher, Friedrich Leisch, Sonja Greven:
Boosting flexible functional regression models with a high number of functional historical effects. Stat. Comput. 27(4): 913-926 (2017) - 2014
- [j23]Manuel J. A. Eugster, Friedrich Leisch, Carolin Strobl:
(Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms. Comput. Stat. Data Anal. 71: 986-1000 (2014) - [j22]Sebastian Krey, Uwe Ligges, Friedrich Leisch:
Music and timbre segmentation by recursive constrained K-means clustering. Comput. Stat. 29(1): 37-50 (2014) - 2012
- [j21]Bettina Grün, Theresa Scharl, Friedrich Leisch:
Modelling time course gene expression data with finite mixtures of linear additive models. Bioinform. 28(2): 222-228 (2012) - 2011
- [j20]Torsten Hothorn, Friedrich Leisch:
Case studies in reproducibility. Briefings Bioinform. 12(3): 288-300 (2011) - [j19]Manuel J. A. Eugster, Friedrich Leisch:
Weighted and robust archetypal analysis. Comput. Stat. Data Anal. 55(3): 1215-1225 (2011) - [j18]Manuel J. A. Eugster, Friedrich Leisch:
Exploratory analysis of benchmark experiments an interactive approach. Comput. Stat. 26(4): 699-710 (2011) - [c11]Friedrich Leisch, Manuel J. A. Eugster, Torsten Hothorn:
Executable Papers for the R Community: The R2 Platform for Reproducible Research. ICCS 2011: 618-626 - 2010
- [j17]Theresa Scharl, Bettina Grün, Friedrich Leisch:
Mixtures of regression models for time course gene expression data: evaluation of initialization and random effects. Bioinform. 26(3): 370-377 (2010) - [j16]Friedrich Leisch:
Neighborhood graphs, stripes and shadow plots for cluster visualization. Stat. Comput. 20(4): 457-469 (2010)
2000 – 2009
- 2009
- [j15]Theresa Scharl, Friedrich Leisch:
gcExplorer: interactive exploration of gene clusters. Bioinform. 25(8): 1089-1090 (2009) - [j14]Theresa Scharl, Ingo Voglhuber, Friedrich Leisch:
Exploratory and inferential analysis of gene cluster neighborhood graphs. BMC Bioinform. 10: 288 (2009) - [j13]Ilhami Visne, Erkan Dilaveroglu, Klemens Vierlinger, Martin Lauss, Ahmet Yildiz, Andreas Weinhäusel, Christa Noehammer, Friedrich Leisch, Albert Kriegner:
RGG: A general GUI Framework for R scripts. BMC Bioinform. 10 (2009) - [j12]Bettina Grün, Friedrich Leisch:
Dealing with label switching in mixture models under genuine multimodality. J. Multivar. Anal. 100(5): 851-861 (2009) - 2008
- [j11]Bettina Grün, Friedrich Leisch:
Identifiability of Finite Mixtures of Multinomial Logit Models with Varying and Fixed Effects. J. Classif. 25(2): 225-247 (2008) - [c10]Theresa Scharl, Friedrich Leisch:
Quality-Based Clustering of Functional Data: Applications to Time Course Microarray Data. GfKl 2008: 675-684 - 2007
- [j10]Bettina Grün, Friedrich Leisch:
Fitting finite mixtures of generalized linear regressions in R. Comput. Stat. Data Anal. 51(11): 5247-5252 (2007) - [j9]Friedrich Leisch:
Compstat 2006 Young Researcher Award. Comput. Stat. 22(4): 555 (2007) - 2006
- [j8]Friedrich Leisch:
A toolbox for K. Comput. Stat. Data Anal. 51(2): 526-544 (2006) - [c9]Bettina Grün, Friedrich Leisch:
Testing for Genuine Multimodality in Finite Mixture Models: Application to Linear Regression Models. GfKl 2006: 209-216 - 2005
- [j7]Kurt Hornik, Friedrich Leisch:
R Version 2.1.0. Comput. Stat. 20(2): 197-202 (2005) - 2004
- [j6]David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik:
StatDataML: An XML Format for Statistical Data. Comput. Stat. 19(3): 493-509 (2004) - [j5]Kurt Hornik, Friedrich Leisch:
R Version 2.0.0. Comput. Stat. 19(4): 661-664 (2004) - 2003
- [j4]David Meyer, Friedrich Leisch, Kurt Hornik:
The support vector machine under test. Neurocomputing 55(1-2): 169-186 (2003) - 2002
- [c8]David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik:
StatDataML: An XML Format for Statistical Data. COMPSTAT 2002: 545-550 - [c7]Friedrich Leisch:
Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis. COMPSTAT 2002: 575-580 - 2001
- [c6]Vaijayanti Joshi, Lakhmi C. Jain, Udo Seiffert, Kathleen Zyga, Richard Price, Friedrich Leisch:
Neural Techniques in Logo Recognition. HIS 2001: 25-32 - [c5]Ajaykumar Pradhan, Lakhmi C. Jain, Arthur Filippidis, Friedrich Leisch:
Fusion of Fuzzy System and Conventional Technique to Evaluate Weather and Terrain Effects on the Vehicle Operations. HIS 2001: 195-206 - [c4]Sara Dolnicar, Friedrich Leisch:
Behavioral Market Segmentation of Binary Guest Survey Data with Bagged Clustering. ICANN 2001: 111-118 - 2000
- [j3]Adrian Trapletti, Friedrich Leisch, Kurt Hornik:
Stationary and Integrated Autoregressive Neural Network Processes. Neural Comput. 12(10): 2427-2450 (2000)
1990 – 1999
- 1998
- [j2]Friedrich Leisch, Lakhmi C. Jain, Kurt Hornik:
Cross-validation with active pattern selection for neural-network classifiers. IEEE Trans. Neural Networks 9(1): 35-41 (1998) - [c3]Friedrich Leisch, Adrian Trapletti, Kurt Hornik:
Stationarity and Stability of Autoregressive Neural Network Processes. NIPS 1998: 267-273 - 1997
- [j1]Andreas Weingessel, Horst Bischof, Kurt Hornik, Friedrich Leisch:
Adaptive combination of PCA and VQ networks. IEEE Trans. Neural Networks 8(5): 1208-1211 (1997) - 1996
- [c2]Friedrich Leisch, Kurt Hornik:
ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers. NIPS 1996: 522-528 - 1995
- [c1]Friedrich Leisch, Kurt Hornik, Lakhmi C. Jain:
NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection. ANNES 1995: 91-94
Coauthor Index
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