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ORCIDRuben H. Zamar
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2020 – today
- 2022
[j23]Juan Domingo Gonzalez, Ricardo A. Maronna, Victor J. Yohai, Ruben H. Zamar:
Robust Model-Based Clustering. J. Data Sci. Stat. Vis. 2(6) (2022)- [j22]Jakob Raymaekers, Ruben H. Zamar:
Regularized K-means Through Hard-Thresholding. J. Mach. Learn. Res. 23: 93:1-93:48 (2022) - 2021
- [j21]Ruben H. Zamar
, Marcelo Ruiz, Ginette Lafit, Javier Nogales:
A Stepwise Approach for High-Dimensional Gaussian Graphical Models. J. Data Sci. Stat. Vis. 1(2) (2021) - 2020
- [j20]Jakob Raymaekers, Ruben H. Zamar:
Pooled variable scaling for cluster analysis. Bioinform. 36(12): 3849-3855 (2020) - [j19]Anthony-Alexander Christidis, Laks V. S. Lakshmanan, Ezequiel Smucler, Ruben H. Zamar:
Split Regularized Regression. Technometrics 62(3): 330-338 (2020) - [i2]Jakob Raymaekers, Ruben H. Zamar:
Regularized K-means through hard-thresholding. CoRR abs/2010.00950 (2020)
2010 – 2019
- 2019
- [j18]Daniel Peña, Ruey S. Tsay, Ruben H. Zamar:
Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series. Technometrics 61(4): 429-444 (2019) - 2017
- [j17]Andy Leung, Victor J. Yohai, Ruben H. Zamar:
Multivariate location and scatter matrix estimation under cellwise and casewise contamination. Comput. Stat. Data Anal. 111: 59-76 (2017) - [c5]Sihem Amer-Yahia, Sofia Kleisarchaki, Naresh Kumar Kolloju, Laks V. S. Lakshmanan, Ruben H. Zamar:
Exploring Rated Datasets with Rating Maps. WWW 2017: 1411-1419 - 2016
- [j16]Michael W. Berry, Jung Jin Lee, Giovanni Montana, Stefan Van Aelst, Ruben H. Zamar:
Special Issue on Advances in Data Mining and Robust Statistics. Comput. Stat. Data Anal. 93: 388-389 (2016) - [j15]Andy Leung, Hongyang Zhang, Ruben H. Zamar:
Robust regression estimation and inference in the presence of cellwise and casewise contamination. Comput. Stat. Data Anal. 99: 1-11 (2016) - [j14]Jabed H. Tomal, William J. Welch, Ruben H. Zamar:
Exploiting Multiple Descriptor Sets in QSAR Studies. J. Chem. Inf. Model. 56(3): 501-509 (2016) - 2014
- [i1]Hongyang Zhang, Ruben H. Zamar:
A natural framework for sparse hierarchical clustering. CoRR abs/1409.0745 (2014) - 2013
- [j13]Stefan Van Aelst, Gert Willems, Ruben H. Zamar:
Robust and efficient estimation of the residual scale in linear regression. J. Multivar. Anal. 116: 278-296 (2013) - 2012
- [j12]Graciela Boente, Marcelo Ruiz, Ruben H. Zamar:
Bandwidth choice for robust nonparametric scale function estimation. Comput. Stat. Data Anal. 56(6): 1594-1608 (2012) - [j11]Daniel Peña, Júlia Viladomat, Ruben H. Zamar:
Nearest-neighbors medians clustering. Stat. Anal. Data Min. 5(4): 349-362 (2012) - 2011
- [c4]Guohua Yan, William J. Welch, Ruben H. Zamar, Loubna Akhabir, Treena McDonald:
Automatic genotype calling of single nucleotide polymorphisms using a linear grouping algorithm. ICNC 2011: 2391-2395 - 2010
- [j10]Stefan Van Aelst, Roy E. Welsch, Ruben H. Zamar:
Special issue on variable selection and robust procedures. Comput. Stat. Data Anal. 54(12): 2879-2882 (2010) - [j9]Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar:
Fast robust estimation of prediction error based on resampling. Comput. Stat. Data Anal. 54(12): 3121-3130 (2010)
2000 – 2009
- 2007
- [j8]Gabriela V. Cohen Freue, Zsuzsanna Hollander, Enqing Shen, Ruben H. Zamar, Robert Balshaw, Andreas Scherer, Bruce McManus, Paul Keown, W. Robert McMaster, Raymond T. Ng:
MDQC: a new quality assessment method for microarrays based on quality control reports. Bioinform. 23(23): 3162-3169 (2007) - [j7]Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar:
Building a robust linear model with forward selection and stepwise procedures. Comput. Stat. Data Anal. 52(1): 239-248 (2007) - [j6]Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar:
CLUES: A non-parametric clustering method based on local shrinking. Comput. Stat. Data Anal. 52(1): 286-298 (2007) - 2006
- [j5]James Chilson, Raymond T. Ng, Alan Wagner, Ruben H. Zamar:
Parallel Computation of High-Dimensional Robust Correlation and Covariance Matrices. Algorithmica 45(3): 403-431 (2006) - [j4]Mohua Podder, William J. Welch, Ruben H. Zamar, Scott J. Tebbutt:
Dynamic variable selection in SNP genotype autocalling from APEX microarray data. BMC Bioinform. 7: 521 (2006) - [j3]Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, Rong Zhu:
Linear grouping using orthogonal regression. Comput. Stat. Data Anal. 50(5): 1287-1312 (2006) - 2004
- [j2]Ruth Yuee Zhang, Laks V. S. Lakshmanan, Ruben H. Zamar:
Extracting relational data from HTML repositories. SIGKDD Explor. 6(2): 5-13 (2004) - [c3]James Chilson, Raymond T. Ng, Alan Wagner, Ruben H. Zamar:
Parallel computation of high dimensional robust correlation and covariance matrices. KDD 2004: 533-538 - 2002
- [j1]Ricardo A. Maronna, Ruben H. Zamar:
Robust Estimates of Location and Dispersion for High-Dimensional Datasets. Technometrics 44(4): 307-317 (2002) - [c2]Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Martin, Ruben H. Zamar:
Scalable robust covariance and correlation estimates for data mining. KDD 2002: 14-23 - 2001
- [c1]Edwin M. Knorr, Raymond T. Ng, Ruben H. Zamar:
Robust space transformations for distance-based operations. KDD 2001: 126-135
Coauthor Index
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