Kurt Hornik - RankMe

85 papers B 2C 4Journal 60Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Sampling From the Watson Distribution in Arbitrary Dimensions. J. Comput. Graph. Stat. Lukas Sablica, Kurt Hornik, Josef Leydold
2025	J	`jnl`	Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution. CoRR Lukas Sablica, Kurt Hornik
2025	J	`jnl`	Remembering Friedrich "Fritz" Leisch. R J. Bettina Grün, Kurt Hornik, Torsten Hothorn, Theresa Scharl, Achim Zeileis
2025	J	`jnl`	The CRAN Task View Initiative. R J. Achim Zeileis, Roger Bivand, Dirk Eddelbuettel, Kurt Hornik, Julia Piaskowski, Nathalie Vialaneix
2025	J	`jnl`	watson : An J. Stat. Softw. Lukas Sablica, Kurt Hornik, Josef Leydold
2024	J	`jnl`	Two Monotonicity Results for Beta Distribution Functions. Entropy Kurt Hornik
2023	J	`jnl`	Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling. Stat. Comput. Thomas Rusch, Patrick Mair, Kurt Hornik
2022	J	`jnl`	Is it all bafflegab? - Linguistic and meta characteristics of research articles in prestigious economics journals. J. Informetrics Julian Amon, Kurt Hornik
2022	J	`jnl`	On bounds for Kummer's function ratio. Math. Comput. Lukas Sablica, Kurt Hornik
2021	J	`jnl`	A comparison of optimization solvers for log binomial regression including conic programming. Comput. Stat. Florian Schwendinger, Bettina Grün, Kurt Hornik
2021	J	`jnl`	Cluster Optimized Proximity Scaling. J. Comput. Graph. Stat. Thomas Rusch, Patrick Mair, Kurt Hornik
2020	J	`jnl`	Generalized Sparse Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery. Remote. Sens. Stefan Bachhofner, Ana-Maria Loghin, Johannes Otepka, Norbert Pfeifer, Michael Hornacek, Andrea Siposova, Niklas Schmidinger, Kurt Hornik, Nikolaus Schiller, Olaf Kähler, Ronald Hochreiter
2020	J	`jnl`	colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. J. Stat. Softw. Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke
2020	J	`jnl`	mistr: A Computational Framework for Mixture and Composite Distributions. R J. Lukas Sablica, Kurt Hornik
2019	J	`jnl`	Multivariate ordinal regression models: an analysis of corporate credit ratings. Stat. Methods Appl. Rainer Hirk, Kurt Hornik, Laura Vana
2019	J	`jnl`	colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. CoRR Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke
2016	J	`jnl`	Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators. Scientometrics Laura Vana, Ronald Hochreiter, Kurt Hornik
2015	J	`jnl`	Computing a consensus journal meta-ranking using paired comparisons and adaptive lasso estimators. CoRR Laura Vana, Ronald Hochreiter, Kurt Hornik
2014	J	`jnl`	Corrigendum to "Making friends and communicating on Facebook: Implications for social capital" [Soc. Netw. (2014) 29-41]. Soc. Networks Angela Bohn, Christian Buchta, Kurt Hornik, Patrick Mair
2014	J	`jnl`	Making friends and communicating on Facebook: Implications for the access to social capital. Soc. Networks Angela Bohn, Christian Buchta, Kurt Hornik, Patrick Mair
2014	J	`jnl`	On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions. Comput. Stat. Kurt Hornik, Bettina Grün
2014	J	`jnl`	On standard conjugate families for natural exponential families with bounded natural parameter space. J. Multivar. Anal. Kurt Hornik, Bettina Grün
2013	—	`ch.`	Determining the Similarity Between US Cities Using a Gravity Model for Search Engine Query Data. Algorithms from and for Nature and Life Paul Hofmarcher, Bettina Grün, Kurt Hornik, Patrick Mair
2012	J	`jnl`	A Kolmogorov-Smirnov Test for r Samples. Fundam. Informaticae Walter Böhm, Kurt Hornik
2012	J	`jnl`	Who Did What? The Roles of R Package Authors and How to Refer to Them. R J. Kurt Hornik, Duncan J. Murdoch, Achim Zeileis
2011	—	`conf`	Adaptive Change Estimation in the Context of Online Market Monitoring. EUROCAST (1) Norbert Walchhofer, Karl Anton Froeschl, Kurt Hornik
2011	J	`jnl`	Content-Based Social Network Analysis of Mailing Lists. R J. Angela Bohn, Ingo Feinerer, Kurt Hornik, Patrick Mair
2011	J	`jnl`	Prospects and challenges in R package development. Comput. Stat. Stefan Theußl, Uwe Ligges, Kurt Hornik
2011	J	`jnl`	The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets. J. Mach. Learn. Res. Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, Christian Buchta
2011	J	`jnl`	Watch Your Spelling! R J. Kurt Hornik, Duncan J. Murdoch
2010	—	`conf`	Text Categorization in R: A Reduced N-Gram Approach. GfKl Wilhelm M. Geiger, Johannes Rauch, Patrick Mair, Kurt Hornik
2009	J	`jnl`	Escaping RGBland: Selecting colors for statistical graphics. Comput. Stat. Data Anal. Achim Zeileis, Kurt Hornik, Paul Murrell
2009	J	`jnl`	Open-source machine learning: R meets Weka. Comput. Stat. Kurt Hornik, Christian Buchta, Achim Zeileis
2008	J	`jnl`	New probabilistic interest measures for association rules CoRR Michael Hahsler, Kurt Hornik
2008	—	`conf`	Nonparametric Distribution Analysis for Text Mining. GfKl Alexandros Karatzoglou, Ingo Feinerer, Kurt Hornik
2008	J	`jnl`	Selective association rule generation CoRR Michael Hahsler, Christian Buchta, Kurt Hornik
2008	J	`jnl`	Selective association rule generation. Comput. Stat. Michael Hahsler, Christian Buchta, Kurt Hornik
2007	—	`conf`	Benchmarking Open-Source Tree Learners in R/RWeka. GfKl Michael Schauerhuber, Achim Zeileis, David Meyer, Kurt Hornik
2007	—	`conf`	Hard and Soft Euclidean Consensus Partitions. GfKl Kurt Hornik, Walter Böhm
2007	J	`jnl`	New probabilistic interest measures for association rules. Intell. Data Anal. Michael Hahsler, Kurt Hornik
2007	—	`conf`	Text Mining of Supreme Administrative Court Jurisdictions. GfKl Ingo Feinerer, Kurt Hornik
2006	—	`conf`	Building on the Arules Infrastructure for Analyzing Transaction Data with R. GfKl Michael Hahsler, Kurt Hornik
2006	—	`conf`	Deriving Consensus Rankings from Benchmarking Experiments. GfKl Kurt Hornik, David Meyer
2005	—	`conf`	Implications of Probabilistic Data Modeling for Mining Association Rules. GfKl Michael Hahsler, Kurt Hornik, Thomas Reutterer
2005	J	`jnl`	R Version 2.1.0. Comput. Stat. Kurt Hornik, Friedrich Leisch
2004	J	`jnl`	A quantitative comparison of functional MRI cluster analysis. Artif. Intell. Medicine Evgenia Dimitriadou, Markus Barth, Christian Windischberger, Kurt Hornik, Ewald Moser
2004	—	`conf`	Cluster Ensembles. GfKl Kurt Hornik
2004	J	`jnl`	R Version 2.0.0. Comput. Stat. Kurt Hornik, Friedrich Leisch
2003	C	`conf`	A Cluster Ensembles Framework. HIS Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
2003	J	`jnl`	A Robust Subspace Algorithm for Principal Component Analysis. Int. J. Neural Syst. Andreas Weingessel, Kurt Hornik
2003	J	`jnl`	Modelling the effects of the Austrian inpatient reimbursement system on length-of-stay distributions. OR Spectr. Marion S. Rauner, Achim Zeileis, Michaela Maria Schaffhauser-Linzatti, Kurt Hornik
2003	J	`jnl`	Testing and dating of structural changes in practice. Comput. Stat. Data Anal. Achim Zeileis, Christian Kleiber, Walter Krämer, Kurt Hornik
2003	J	`jnl`	The support vector machine under test. Neurocomputing David Meyer, Friedrich Leisch, Kurt Hornik
2002	—	`conf`	A Combination Scheme for Fuzzy Clustering. AFSS Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
2002	J	`jnl`	A Combination Scheme for Fuzzy Clustering. Int. J. Pattern Recognit. Artif. Intell. Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
2002	C	`conf`	A Mixed Ensemble Approach for the Semi-supervised Problem. ICANN Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
2002	B	`conf`	Detecting regions of interest in fMRI: an application on exploratory-based data analysis. FUZZ-IEEE Evgenia Dimitriadou, Markus Barth, Christian Windischberger, Kurt Hornik, Ewald Moser
2002	—	`conf`	Exact Nonparametric Inference in R. COMPSTAT Torsten Hothorn, Kurt Hornik
2002	—	`conf`	StatDataML: An XML Format for Statistical Data. COMPSTAT David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik
2001	C	`ed.`	Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings ICANN Georg Dorffner, Horst Bischof, Kurt Hornik
2001	C	`conf`	Voting-Merging: An Ensemble Method for Clustering. ICANN Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
2000	J	`jnl`	Local PCA algorithms. IEEE Trans. Neural Networks Learn. Syst. Andreas Weingessel, Kurt Hornik
2000	J	`jnl`	Stationary and Integrated Autoregressive Neural Network Processes. Neural Comput. Adrian Trapletti, Friedrich Leisch, Kurt Hornik
1999	J	`jnl`	Optimal linear compression under unreliable representation and robust PCA neural models. IEEE Trans. Neural Networks Konstantinos I. Diamantaras, Kurt Hornik, Michael G. Strintzis
1998	J	`jnl`	Cross-validation with active pattern selection for neural-network classifiers. IEEE Trans. Neural Networks Friedrich Leisch, Lakhmi C. Jain, Kurt Hornik
1998	—	`conf`	Stationarity and Stability of Autoregressive Neural Network Processes. NIPS Friedrich Leisch, Adrian Trapletti, Kurt Hornik
1997	J	`jnl`	Adaptive combination of PCA and VQ networks. IEEE Trans. Neural Networks Andreas Weingessel, Horst Bischof, Kurt Hornik, Friedrich Leisch
1997	J	`jnl`	SVD Algorithms: APEX-like versus Subspace Methods. Neural Process. Lett. Andreas Weingessel, Kurt Hornik
1996	—	`conf`	ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers. NIPS Friedrich Leisch, Kurt Hornik
1996	J	`jnl`	Guest Editorial How to Submit Letters. IEEE Trans. Neural Networks Kurt Hornik
1996	B	`conf`	Hierarchies of autoassociators. ICPR Andreas Weingessel, Horst Bischof, Kurt Hornik
1995	J	`jnl`	Learning in linear neural networks: a survey. IEEE Trans. Neural Networks Pierre Baldi, Kurt Hornik
1995	—	`conf`	NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection. ANNES Friedrich Leisch, Kurt Hornik, Lakhmi C. Jain
1995	—	`conf`	Universal Approximnation and Learning of Trajectories Using Oscillators. NIPS Pierre Baldi, Kurt Hornik
1994	J	`jnl`	A Convergence Result for Learning in Recurrent Neural Networks. Neural Comput. Chung-Ming Kuan, Kurt Hornik, Halbert White
1994	J	`jnl`	Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Comput. Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer
1994	—	`conf`	PCA-Pyramids for Image Compression. NIPS Horst Bischof, Kurt Hornik
1993	J	`jnl`	Letters to the editor. Neural Networks Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
1993	J	`jnl`	Some new results on neural network approximation. Neural Networks Kurt Hornik
1992	J	`jnl`	Convergence analysis of local feature extraction algorithms. Neural Networks Kurt Hornik, Chung-Ming Kuan
1991	J	`jnl`	Approximation capabilities of multilayer feedforward networks. Neural Networks Kurt Hornik
1991	J	`jnl`	Convergence of learning algorithms with constant learning rates. IEEE Trans. Neural Networks Chung-Ming Kuan, Kurt Hornik
1990	J	`jnl`	Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
1989	J	`jnl`	Multilayer feedforward networks are universal approximators. Neural Networks Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
1989	J	`jnl`	Neural networks and principal component analysis: Learning from examples without local minima. Neural Networks Pierre Baldi, Kurt Hornik