Ines Wilms - RankMe

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sparse outlier-robust PCA for multi-source data. Stat. Comput. Patricia Puchhammer, Ines Wilms, Peter Filzmoser
2025	J	`jnl`	Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms. Inf. Syst. Res. Yu (Jeffrey) Hu, Jeroen V. K. Rombouts, Ines Wilms
2024	J	`jnl`	Clusterpath Gaussian Graphical Modeling. CoRR Daniel J. W. Touw, Andreas Alfons, Patrick J. F. Groenen, Ines Wilms
2024	J	`jnl`	Robust Matrix Completion for Discrete Rating-Scale Data. CoRR Aurore Archimbaud, Andreas Alfons, Ines Wilms
2023	J	`jnl`	Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features. CoRR Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms
2023	J	`jnl`	bootUR: An J. Stat. Softw. Stephan Smeekes, Ines Wilms
2022	J	`jnl`	Graphical Influence Diagnostics for Changepoint Models. J. Comput. Graph. Stat. Ines Wilms, Rebecca Killick, David S. Matteson
2022	J	`jnl`	Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions. J. Comput. Graph. Stat. Alain Hecq, Marie Ternes, Ines Wilms
2022	J	`jnl`	Sparse regression for large data sets with outliers. Eur. J. Oper. Res. Lea Bottmer, Christophe Croux, Ines Wilms
2022	J	`jnl`	Tree-based Node Aggregation in Sparse Graphical Models. J. Mach. Learn. Res. Ines Wilms, Jacob Bien
2020	J	`jnl`	High Dimensional Forecasting via Interpretable Vector Autoregression. J. Mach. Learn. Res. William B. Nicholson, Ines Wilms, Jacob Bien, David S. Matteson
2017	J	`jnl`	Cellwise robust regularized discriminant analysis. Stat. Anal. Data Min. Stephanie Aerts, Ines Wilms
2016	J	`jnl`	Robust sparse canonical correlation analysis. BMC Syst. Biol. Ines Wilms, Christophe Croux
2016	J	`jnl`	The predictive power of the business and bank sentiment of firms: A high-dimensional Granger Causality approach. Eur. J. Oper. Res. Ines Wilms, Sarah Gelper, Christophe Croux

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski