Robust Factorization of a Data Matrix. - Christophe Croux; Peter Filzmoser (COMPSTAT, 1998)

Fitting multiplicative models by robust alternating regressions. - Christophe Croux; Peter Filzmoser; G. Pison; Peter J. Rousseeuw (Stat. Comput., 2003)

Robust Multivariate Methods: The Projection Pursuit Approach. - Peter Filzmoser; Sven Serneels; Christophe Croux; Pierre J. Van Espen (GfKl, 2005)

The Partial Robust M-approach. - Sven Serneels; Christophe Croux; Peter Filzmoser; Pierre J. Van Espen (GfKl, 2005)

Robust canonical correlations: A comparative study. - João A. Branco; Christophe Croux; Peter Filzmoser; Maria Rosário de Oliveira (Comput. Stat., 2005)

Multivariate outlier detection in exploration geochemistry. - Peter Filzmoser; Robert G. Garrett; Clemens Reimann (Comput. Geosci., 2005)

Robust fitting of mixtures using the trimmed likelihood estimator. - N. M. Neykov; Peter Filzmoser; R. Dimova; P. N. Neytchev (Comput. Stat. Data Anal., 2007)

Outlier identification in high dimensions. - Peter Filzmoser; Ricardo A. Maronna; Mark Werner (Comput. Stat. Data Anal., 2008)

Robust factor analysis for compositional data. - Peter Filzmoser; Karel Hron; Clemens Reimann; Robert G. Garrett (Comput. Geosci., 2009)

Robust Methods for Compositional Data. - Peter Filzmoser; Karel Hron (COMPSTAT, 2010)

A Comparison of Robust Methods for Pareto Tail Modeling in the Case of Laeken Indicators. - Andreas Alfons; Matthias Templ; Peter Filzmoser; Josef Holzer (SMPS, 2010)

Soft Methods in Robust Statistics. - Peter Filzmoser (SMPS, 2010)

Elements of Robust Regression for Data with Absolute and Relative Information. - Karel Hron; Peter Filzmoser (SMPS, 2010)

Brushing Moments in Interactive Visual Analysis. - Johannes Kehrer; Peter Filzmoser; Helwig Hauser (Comput. Graph. Forum, 2010)

Imputation of missing values for compositional data using classical and robust methods. - Karel Hron; Matthias Templ; Peter Filzmoser (Comput. Stat. Data Anal., 2010)

Robust statistic for the one-way MANOVA. - Valentin Todorov; Peter Filzmoser (Comput. Stat. Data Anal., 2010)

Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research. - Horst Treiblmaier; Peter Filzmoser (Inf. Manag., 2010)

Benefits from Using Continuous Rating Scales in Online Survey Research. - Horst Treiblmaier; Peter Filzmoser (ICIS, 2011)

Detection of multivariate outliers in business survey data with incomplete information. - Valentin Todorov; Matthias Templ; Peter Filzmoser (Adv. Data Anal. Classif., 2011)

Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction. - Wolfgang Berger; Harald Piringer; Peter Filzmoser; M. Eduard Gröller (Comput. Graph. Forum, 2011)

Iterative stepwise regression imputation using standard and robust methods. - Matthias Templ; Alexander Kowarik; Peter Filzmoser (Comput. Stat. Data Anal., 2011)

Robust variable selection with application to quality of life research. - Andreas Alfons; Wolfgang E. Baaske; Peter Filzmoser; Wolfgang Mader 004; Roland Wieser (Stat. Methods Appl., 2011)

Simulation of close-to-reality population data for household surveys with application to EU-SILC. - Andreas Alfons; Stefan Kraft; Matthias Templ; Peter Filzmoser (Stat. Methods Appl., 2011)

Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data. - Cagatay Turkay; Peter Filzmoser; Helwig Hauser (IEEE Trans. Vis. Comput. Graph., 2011)

A generic model for the integration of interactive visualization and statistical computing using R. - Johannes Kehrer; Roland N. Boubela; Peter Filzmoser; Harald Piringer (IEEE VAST, 2012)

Robust feature selection and robust PCA for internet traffic anomaly detection. - Cláudia Pascoal; Maria Rosário de Oliveira; Rui Valadas; Peter Filzmoser; Paulo Salvador 001; António Pacheco 001 (INFOCOM, 2012)

Outlier Detection in High Dimension Using Regularization. - Moritz Gschwandtner; Peter Filzmoser (SMPS, 2012)

Robust Diagnostics of Fuzzy Clustering Results Using the Compositional Approach. - Karel Hron; Peter Filzmoser (SMPS, 2012)

Comparing Classical and Robust Sparse PCA. - Valentin Todorov; Peter Filzmoser (SMPS, 2012)

Exploring incomplete data using visualization techniques. - Matthias Templ; Andreas Alfons; Peter Filzmoser (Adv. Data Anal. Classif., 2012)

Model-based replacement of rounded zeros in compositional data: Classical and robust approaches. - Josep-Antoni Martín-Fernández; Karel Hron; Matthias Templ; Peter Filzmoser; Javier Palarea-Albaladejo (Comput. Stat. Data Anal., 2012)

The least trimmed quantile regression. - N. M. Neykov; Pavel Cízek; Peter Filzmoser; P. N. Neytchev (Comput. Stat. Data Anal., 2012)

Robust joint modeling of mean and dispersion through trimming. - N. M. Neykov; Peter Filzmoser; P. N. Neytchev (Comput. Stat. Data Anal., 2012)

Discriminant analysis for compositional data and robust parameter estimation. - Peter Filzmoser; Karel Hron; Matthias Templ (Comput. Stat., 2012)

A comparison of algorithms for the multivariate L 1-median. - Heinrich Fritz; Peter Filzmoser; Christophe Croux (Comput. Stat., 2012)

Interpretation of multivariate outliers for compositional data. - Peter Filzmoser; Karel Hron; Clemens Reimann (Comput. Geosci., 2012)

Robust tools for the imperfect world. - Peter Filzmoser; Valentin Todorov (Inf. Sci., 2013)

RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude. - Klaudius Kalcher; Roland N. Boubela; Wolfgang Huf; Bharat B. Biswal; Pia Baldinger; Uta Sailer; Peter Filzmoser; Siegfried Kasper; Claus Lamm; Rupert Lanzenberger; Ewald Moser; Christian Windischberger (NeuroImage, 2013)

Robust Sparse Principal Component Analysis. - Christophe Croux; Peter Filzmoser; Heinrich Fritz (Technometrics, 2013)

Visual Analytics for Model Selection in Time Series Analysis. - Markus Bögl; Wolfgang Aigner; Peter Filzmoser; Tim Lammarsch; Silvia Miksch; Alexander Rind (IEEE Trans. Vis. Comput. Graph., 2013)

On the Robustness of Absolute Deviations with Fuzzy Data. - Sara de la Rosa de Sáa; Peter Filzmoser; María Ángeles Gil; María Asunción Lubiano (SMPS, 2014)

Special issue on statistical algorithms and software in R. - Peter Filzmoser; Cristian Gatu; Achim Zeileis (Comput. Stat. Data Anal., 2014)

Visually and statistically guided imputation of missing values in univariate seasonal time series. - Markus Bögl; Peter Filzmoser; Theresia Gschwandtner; Silvia Miksch; Wolfgang Aigner; Alexander Rind; Tim Lammarsch (VAST, 2015)

Integrating Predictions in Time Series Model Selection. - Markus Bögl; Wolfgang Aigner; Peter Filzmoser; Theresia Gschwandtner; Tim Lammarsch; Silvia Miksch; Alexander Rind (EuroVA@EuroVis, 2015)

The Paradigm of Relatedness. - László Grad-Gyenge; Peter Filzmoser (BIS (Workshops), 2016)

Simplicial principal component analysis for density functions in Bayes spaces. - Karel Hron; Alessandra Menafoglio; Matthias Templ; Klara Hruzová; Peter Filzmoser (Comput. Stat. Data Anal., 2016)

Graph Embedding Based Recommendation Techniques on the Knowledge Graph. - László Grad-Gyenge; Attila Kiss 001; Peter Filzmoser (UMAP (Adjunct Publication), 2017)

Exploratory data analysis for interval compositional data. - Karel Hron; Paula Brito; Peter Filzmoser (Adv. Data Anal. Classif., 2017)

Robust scale estimators for fuzzy data. - Sara de la Rosa de Sáa; María Asunción Lubiano; Beatriz Sinova; Peter Filzmoser (Adv. Data Anal. Classif., 2017)

Generalized box-plot for root growth ensembles. - Viktor Vad; Douglas Cedrim; Wolfgang Busch; Peter Filzmoser; Ivan Viola (BMC Bioinform., 2017)

Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. - Markus Bögl; Peter Filzmoser; Theresia Gschwandtner; Tim Lammarsch; Roger A. Leite; Silvia Miksch; Alexander Rind (Comput. Graph. Forum, 2017)

A Comprehensive Prediction Approach for Hardware Asset Management. - Alexander Wurl; Andreas A. Falkner; Peter Filzmoser; Alois Haselböck; Alexandra Mazak; Simon Sperl (DATA (Revised Selected Papers), 2018)

Reproducing a Neural Question Answering Architecture Applied to the SQuAD Benchmark Dataset: Challenges and Lessons Learned. - Alexander Dür; Andreas Rauber; Peter Filzmoser (ECIR, 2018)

Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection. - Max Landauer; Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Peter Filzmoser (ISPEC, 2018)

Clustering of imbalanced high-dimensional media data. - Sárka Brodinová; Maia Zaharieva; Peter Filzmoser; Thomas Ortner; Christian Breiteneder (Adv. Data Anal. Classif., 2018)

Outlier detection in interval data. - António Pedro Duarte Silva; Peter Filzmoser; Paula Brito (Adv. Data Anal. Classif., 2018)

Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection. - Max Landauer; Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Peter Filzmoser (Comput. Secur., 2018)

A robust Liu regression estimator. - Peter Filzmoser; Fatma Sevinç Kurnaz (Commun. Stat. Simul. Comput., 2018)

nsROC: An R package for Non-Standard ROC Curve Analysis. - Sonia Pérez-Fernández; Pablo Martínez-Camblor; Peter Filzmoser; Norberto Corral (R J., 2018)

There and back again: Outlier detection between statistical reasoning and data mining algorithms. - Arthur Zimek; Peter Filzmoser (WIREs Data Mining Knowl. Discov., 2018)

Exploring Robustness in a Combined Feature Selection Approach. - Alexander Wurl; Andreas A. Falkner; Alois Haselböck; Alexandra Mazak; Peter Filzmoser (DATA, 2019)

Robust and sparse k-means clustering for high-dimensional data. - Sárka Brodinová; Peter Filzmoser; Thomas Ortner; Christian Breiteneder; Maia Rohm (Adv. Data Anal. Classif., 2019)

Inspecting the Behaviour of Deep Learning Neural Networks. - Alexander Dür; Peter Filzmoser; Andreas Rauber (ERCIM News, 2019)

Statistical methods for the geochemical characterisation of surface waters: The case study of the Tiber River basin (Central Italy). - Caterina Gozzi; Peter Filzmoser; Antonella Buccianti; Orlando Vaselli; Barbara Nisi (Comput. Geosci., 2019)

Cellwise robust M regression. - Peter Filzmoser; Sebastiaan Höppner; Irene Ortner; Sven Serneels; Tim Verdonck (Comput. Stat. Data Anal., 2020)

Robust and sparse multigroup classification by the optimal scoring approach. - Irene Ortner; Peter Filzmoser; Christophe Croux (Data Min. Knowl. Discov., 2020)

Imputation of values above an upper detection limit in compositional data. - Dominika Miksová; Peter Filzmoser; Maarit Middleton (Comput. Geosci., 2020)

Robust regression with compositional covariates including cellwise outliers. - Nikola Stefelová; Andreas Alfons; Javier Palarea-Albaladejo; Peter Filzmoser; Karel Hron (Adv. Data Anal. Classif., 2021)

Sparse least trimmed squares regression with compositional covariates for high-dimensional data. - Gianna Serafina Monti; Peter Filzmoser (Bioinform., 2021)

MAINT.Data: Modelling and Analysing Interval Data in R. - António Pedro Duarte Silva; Paula Brito; Peter Filzmoser; José G. Dias (R J., 2021)

Location-Free Robust Scale Estimates for Fuzzy Data. - Sara de la Rosa de Sáa; María Asunción Lubiano; Beatriz Sinova; María Ángeles Gil; Peter Filzmoser (IEEE Trans. Fuzzy Syst., 2021)

Massive Data Sets - Is Data Quality Still an Issue? - Peter Filzmoser; Alexandra Mazak-Huemer (Digital Transformation, 2022)

Robust logistic zero-sum regression for microbiome compositional data. - Gianna Serafina Monti; Peter Filzmoser (Adv. Data Anal. Classif., 2022)

Visual Parameter Selection for Spatial Blind Source Separation. - Nikolaus Piccolotto; Markus Bögl; Christoph Muehlmann; Klaus Nordhausen; Peter Filzmoser; Silvia Miksch (Comput. Graph. Forum, 2022)

Identifying the root cause of cable network problems with machine learning. - Georg Heiler; Thassilo Gadermaier; Thomas Haider; Allan Hanbury; Peter Filzmoser (CoRR, 2022)

TBSSvis: Visual analytics for Temporal Blind Source Separation. - Nikolaus Piccolotto; Markus Bögl; Theresia Gschwandtner; Christoph Muehlmann; Klaus Nordhausen; Peter Filzmoser; Silvia Miksch (Vis. Informatics, 2022)

Robust and sparse multinomial regression in high dimensions. - Fatma Sevinç Kurnaz; Peter Filzmoser (Data Min. Knowl. Discov., 2023)

Extending compositional data analysis from a graph signal processing perspective. - Christopher Rieser; Peter Filzmoser (J. Multivar. Anal., 2023)

enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression. - Fatma Sevinç Kurnaz; Peter Filzmoser (J. Open Source Softw., 2023)

Spatially Smoothed Robust Covariance Estimation for Local Outlier Detection. - Patricia Puchhammer; Peter Filzmoser (J. Comput. Graph. Stat., 2024)

A rank-based estimation method for mixed effects models in the presence of outlying data. - Barbara Brune; Irene Ortner; Peter Filzmoser (J. Data Sci. Stat. Vis., 2024)

Visual Interactive Parameter Selection for Temporal Blind Source Separation. - Claudia Cappello; Nikolaus Piccolotto; Christoph Muehlmann; Markus Bögl; Peter Filzmoser; Silvia Miksch; Klaus Nordhausen (J. Data Sci. Stat. Vis., 2024)

Data Type Agnostic Visual Sensitivity Analysis. - Nikolaus Piccolotto; Markus Bögl; Christoph Muehlmann; Klaus Nordhausen; Peter Filzmoser; Johanna Schmidt; Silvia Miksch (IEEE Trans. Vis. Comput. Graph., 2024)

A robust knockoff filter for sparse regression analysis of microbiome compositional data. - Gianna Serafina Monti; Peter Filzmoser (Comput. Stat., 2024)

Predictive change point detection for heterogeneous data. - Anna-Christina Glock; Florian Sobieczky; Johannes Fürnkranz; Peter Filzmoser; Martin Jech (Neural Comput. Appl., 2024)

Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data. - Jeremy Oguamalam; Una Radojicic; Peter Filzmoser (Technometrics, 2024)

Efficient computation of sparse and robust maximum association estimators. - Pia Pfeiffer; Andreas Alfons; Peter Filzmoser (Comput. Stat. Data Anal., 2025)

Opportunities and pitfalls of regression algorithms for predicting the residual value of heavy equipment - A comparative analysis. - Marco Huymajer; Peter Filzmoser; Alexandra Mazak-Huemer; Leopold Winkler; Hans Kraxner (Eng. Appl. Artif. Intell., 2025)

Sparse data-driven random projection in regression for high-dimensional data. - Roman Parzer; Peter Filzmoser; Laura Vana-Gür (J. Data Sci. Stat. Vis., 2025)

Correspondence Analysis From the Viewpoint of Compositional Tables. - Kamila Facevicová; Peter Filzmoser; Karel Hron (Stat. Anal. Data Min., 2025)

Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data. - Marcus Mayrhofer; Una Radojicic; Peter Filzmoser (Technometrics, 2025)