Kurt Hornik
Orcid: 0000-0003-4198-9911
According to our database1,
Kurt Hornik
authored at least 75 papers
between 1989 and 2023.
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Bibliography
2023
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling.
Stat. Comput., 2023
2022
Is it all bafflegab? - Linguistic and meta characteristics of research articles in prestigious economics journals.
J. Informetrics, 2022
2021
A comparison of optimization solvers for log binomial regression including conic programming.
Comput. Stat., 2021
2020
Generalized Sparse Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery.
Remote. Sens., 2020
J. Stat. Softw., 2020
2019
Stat. Methods Appl., 2019
2016
Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators.
Scientometrics, 2016
2015
Computing a consensus journal meta-ranking using paired comparisons and adaptive lasso estimators.
CoRR, 2015
2014
Corrigendum to "Making friends and communicating on Facebook: Implications for social capital" [Soc. Netw. (2014) 29-41].
Soc. Networks, 2014
Making friends and communicating on Facebook: Implications for the access to social capital.
Soc. Networks, 2014
On standard conjugate families for natural exponential families with bounded natural parameter space.
J. Multivar. Anal., 2014
On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions.
Comput. Stat., 2014
2013
Determining the Similarity Between US Cities Using a Gravity Model for Search Engine Query Data.
Proceedings of the Algorithms from and for Nature and Life, 2013
2012
2011
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets.
J. Mach. Learn. Res., 2011
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011
2010
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
2009
Comput. Stat. Data Anal., 2009
2008
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008
2007
Proceedings of the Data Analysis, Machine Learning and Applications, 2007
Proceedings of the Data Analysis, Machine Learning and Applications, 2007
Proceedings of the Data Analysis, Machine Learning and Applications, 2007
2006
Proceedings of the Advances in Data Analysis, 2006
Proceedings of the Advances in Data Analysis, 2006
2005
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005
2004
Artif. Intell. Medicine, 2004
2003
Modelling the effects of the Austrian inpatient reimbursement system on length-of-stay distributions.
OR Spectr., 2003
Int. J. Neural Syst., 2003
A Cluster Ensembles Framework.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
2002
Int. J. Pattern Recognit. Artif. Intell., 2002
Proceedings of the Artificial Neural Networks, 2002
Detecting regions of interest in fMRI: an application on exploratory-based data analysis.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Proceedings of the COMPSTAT 2002, 2002
2001
Proceedings of the Artificial Neural Networks, 2001
2000
Neural Comput., 2000
1999
Optimal linear compression under unreliable representation and robust PCA neural models.
IEEE Trans. Neural Networks, 1999
1998
IEEE Trans. Neural Networks, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
1997
1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of the 13th International Conference on Pattern Recognition, 1996
1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
1994
Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives.
Neural Comput., 1994
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
1993
1992
1991
IEEE Trans. Neural Networks, 1991
1990
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks.
Neural Networks, 1990
1989
Neural networks and principal component analysis: Learning from examples without local minima.
Neural Networks, 1989