Peter Filzmoser

98 papers A* 1A 1C 3Journal 75Unranked 17

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`	Correspondence Analysis From the Viewpoint of Compositional Tables. Stat. Anal. Data Min. Kamila Facevicová, Peter Filzmoser, Karel Hron
2025	J	`jnl`	Efficient computation of sparse and robust maximum association estimators. Comput. Stat. Data Anal. Pia Pfeiffer, Andreas Alfons, Peter Filzmoser
2025	J	`jnl`	Opportunities and pitfalls of regression algorithms for predicting the residual value of heavy equipment - A comparative analysis. Eng. Appl. Artif. Intell. Marco Huymajer, Peter Filzmoser, Alexandra Mazak-Huemer, Leopold Winkler, Hans Kraxner
2025	J	`jnl`	Robust Covariance Estimation and Explainable Outlier Detection for Matrix-Valued Data. Technometrics Marcus Mayrhofer, Una Radojicic, Peter Filzmoser
2025	J	`jnl`	Robust multivariate regression controlling false discoveries for microbiome data. Bioinform. Gianna Serafina Monti, Meritxell Pujolassos, Malu Calle Rosingana, Peter Filzmoser
2025	J	`jnl`	Sparse data-driven random projection in regression for high-dimensional data. J. Data Sci. Stat. Vis. Roman Parzer, Peter Filzmoser, Laura Vana-Gür
2024	J	`jnl`	A rank-based estimation method for mixed effects models in the presence of outlying data. J. Data Sci. Stat. Vis. Barbara Brune, Irene Ortner, Peter Filzmoser
2024	J	`jnl`	A robust knockoff filter for sparse regression analysis of microbiome compositional data. Comput. Stat. Gianna Serafina Monti, Peter Filzmoser
2024	J	`jnl`	Data Type Agnostic Visual Sensitivity Analysis. IEEE Trans. Vis. Comput. Graph. Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Johanna Schmidt, Silvia Miksch
2024	J	`jnl`	Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data. Technometrics Jeremy Oguamalam, Una Radojicic, Peter Filzmoser
2024	J	`jnl`	Predictive change point detection for heterogeneous data. Neural Comput. Appl. Anna-Christina Glock, Florian Sobieczky, Johannes Fürnkranz, Peter Filzmoser, Martin Jech
2024	J	`jnl`	Spatially Smoothed Robust Covariance Estimation for Local Outlier Detection. J. Comput. Graph. Stat. Patricia Puchhammer, Peter Filzmoser
2024	J	`jnl`	Visual Interactive Parameter Selection for Temporal Blind Source Separation. J. Data Sci. Stat. Vis. Claudia Cappello, Nikolaus Piccolotto, Christoph Muehlmann, Markus Bögl, Peter Filzmoser, Silvia Miksch, Klaus Nordhausen
2023	J	`jnl`	Data Type Agnostic Visual Sensitivity Analysis. CoRR Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Johanna Schmidt, Silvia Miksch
2023	J	`jnl`	Extending compositional data analysis from a graph signal processing perspective. J. Multivar. Anal. Christopher Rieser, Peter Filzmoser
2023	J	`jnl`	Predictive change point detection for heterogeneous data. CoRR Anna-Christina Glock, Florian Sobieczky, Johannes Fürnkranz, Peter Filzmoser, Martin Jech
2023	J	`jnl`	Robust and sparse multinomial regression in high dimensions. Data Min. Knowl. Discov. Fatma Sevinç Kurnaz, Peter Filzmoser
2023	J	`jnl`	enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression. J. Open Source Softw. Fatma Sevinç Kurnaz, Peter Filzmoser
2022	J	`jnl`	Extending compositional data analysis from a graph signal processing perspective. CoRR Christopher Rieser, Peter Filzmoser
2022	J	`jnl`	Identifying the root cause of cable network problems with machine learning. CoRR Georg Heiler, Thassilo Gadermaier, Thomas Haider, Allan Hanbury, Peter Filzmoser
2022	—	`ch.`	Massive Data Sets - Is Data Quality Still an Issue? Digital Transformation Peter Filzmoser, Alexandra Mazak-Huemer
2022	J	`jnl`	Robust logistic zero-sum regression for microbiome compositional data. Adv. Data Anal. Classif. Gianna Serafina Monti, Peter Filzmoser
2022	J	`jnl`	TBSSvis: Visual analytics for Temporal Blind Source Separation. Vis. Informatics Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch
2022	J	`jnl`	Visual Parameter Selection for Spatial Blind Source Separation. Comput. Graph. Forum Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch
2021	J	`jnl`	Location-Free Robust Scale Estimates for Fuzzy Data. IEEE Trans. Fuzzy Syst. Sara de la Rosa de Sáa, María Asunción Lubiano, Beatriz Sinova, María Ángeles Gil, Peter Filzmoser
2021	J	`jnl`	MAINT.Data: Modelling and Analysing Interval Data in R. R J. António Pedro Duarte Silva, Paula Brito, Peter Filzmoser, José G. Dias
2021	J	`jnl`	Robust regression with compositional covariates including cellwise outliers. Adv. Data Anal. Classif. Nikola Stefelová, Andreas Alfons, Javier Palarea-Albaladejo, Peter Filzmoser, Karel Hron
2021	J	`jnl`	Sparse least trimmed squares regression with compositional covariates for high-dimensional data. Bioinform. Gianna Serafina Monti, Peter Filzmoser
2021	J	`jnl`	Visual Parameter Selection for Spatial Blind Source Separation. CoRR Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch
2020	J	`jnl`	Cellwise robust M regression. Comput. Stat. Data Anal. Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels, Tim Verdonck
2020	J	`jnl`	Imputation of values above an upper detection limit in compositional data. Comput. Geosci. Dominika Miksová, Peter Filzmoser, Maarit Middleton
2020	J	`jnl`	Robust and sparse multigroup classification by the optimal scoring approach. Data Min. Knowl. Discov. Irene Ortner, Peter Filzmoser, Christophe Croux
2020	J	`jnl`	TBSSvis: Visual Analytics for Temporal Blind Source Separation. CoRR Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch
2019	C	`conf`	Exploring Robustness in a Combined Feature Selection Approach. DATA Alexander Wurl, Andreas A. Falkner, Alois Haselböck, Alexandra Mazak, Peter Filzmoser
2019	J	`jnl`	Inspecting the Behaviour of Deep Learning Neural Networks. ERCIM News Alexander Dür, Peter Filzmoser, Andreas Rauber
2019	J	`jnl`	Robust and sparse k-means clustering for high-dimensional data. Adv. Data Anal. Classif. Sárka Brodinová, Peter Filzmoser, Thomas Ortner, Christian Breiteneder, Maia Rohm
2019	J	`jnl`	Statistical methods for the geochemical characterisation of surface waters: The case study of the Tiber River basin (Central Italy). Comput. Geosci. Caterina Gozzi, Peter Filzmoser, Antonella Buccianti, Orlando Vaselli, Barbara Nisi
2018	—	`conf`	A Comprehensive Prediction Approach for Hardware Asset Management. DATA (Revised Selected Papers) Alexander Wurl, Andreas A. Falkner, Peter Filzmoser, Alois Haselböck, Alexandra Mazak, Simon Sperl
2018	J	`jnl`	A robust Liu regression estimator. Commun. Stat. Simul. Comput. Peter Filzmoser, Fatma Sevinç Kurnaz
2018	J	`jnl`	Clustering of imbalanced high-dimensional media data. Adv. Data Anal. Classif. Sárka Brodinová, Maia Zaharieva, Peter Filzmoser, Thomas Ortner, Christian Breiteneder
2018	J	`jnl`	Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection. Comput. Secur. Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser
2018	J	`jnl`	Outlier detection in interval data. Adv. Data Anal. Classif. António Pedro Duarte Silva, Peter Filzmoser, Paula Brito
2018	A	`conf`	Reproducing a Neural Question Answering Architecture Applied to the SQuAD Benchmark Dataset: Challenges and Lessons Learned. ECIR Alexander Dür, Andreas Rauber, Peter Filzmoser
2018	J	`jnl`	There and back again: Outlier detection between statistical reasoning and data mining algorithms. WIREs Data Mining Knowl. Discov. Arthur Zimek, Peter Filzmoser
2018	C	`conf`	Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection. ISPEC Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser
2018	J	`jnl`	nsROC: An R package for Non-Standard ROC Curve Analysis. R J. Sonia Pérez-Fernández, Pablo Martínez-Camblor, Peter Filzmoser, Norberto Corral
2017	J	`jnl`	Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Comput. Graph. Forum Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Roger A. Leite, Silvia Miksch, Alexander Rind
2017	J	`jnl`	Exploratory data analysis for interval compositional data. Adv. Data Anal. Classif. Karel Hron, Paula Brito, Peter Filzmoser
2017	J	`jnl`	Generalized box-plot for root growth ensembles. BMC Bioinform. Viktor Vad, Douglas Cedrim, Wolfgang Busch, Peter Filzmoser, Ivan Viola
2017	—	`conf`	Graph Embedding Based Recommendation Techniques on the Knowledge Graph. UMAP (Adjunct Publication) László Grad-Gyenge, Attila Kiss, Peter Filzmoser
2017	J	`jnl`	Robust scale estimators for fuzzy data. Adv. Data Anal. Classif. Sara de la Rosa de Sáa, María Asunción Lubiano, Beatriz Sinova, Peter Filzmoser
2016	J	`jnl`	Simplicial principal component analysis for density functions in Bayes spaces. Comput. Stat. Data Anal. Karel Hron, Alessandra Menafoglio, Matthias Templ, Klara Hruzová, Peter Filzmoser
2016	—	`conf`	The Paradigm of Relatedness. BIS (Workshops) László Grad-Gyenge, Peter Filzmoser
2015	—	`conf`	Integrating Predictions in Time Series Model Selection. EuroVA@EuroVis Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind
2015	—	`conf`	Visually and statistically guided imputation of missing values in univariate seasonal time series. VAST Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Silvia Miksch, Wolfgang Aigner, Alexander Rind, Tim Lammarsch
2014	—	`conf`	On the Robustness of Absolute Deviations with Fuzzy Data. SMPS Sara de la Rosa de Sáa, Peter Filzmoser, María Ángeles Gil, María Asunción Lubiano
2014	J	`jnl`	Special issue on statistical algorithms and software in R. Comput. Stat. Data Anal. Peter Filzmoser, Cristian Gatu, Achim Zeileis
2013	J	`jnl`	RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude. NeuroImage 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
2013	J	`jnl`	Robust Sparse Principal Component Analysis. Technometrics Christophe Croux, Peter Filzmoser, Heinrich Fritz
2013	J	`jnl`	Robust tools for the imperfect world. Inf. Sci. Peter Filzmoser, Valentin Todorov
2013	J	`jnl`	Visual Analytics for Model Selection in Time Series Analysis. IEEE Trans. Vis. Comput. Graph. Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Tim Lammarsch, Silvia Miksch, Alexander Rind
2012	J	`jnl`	A comparison of algorithms for the multivariate Comput. Stat. Heinrich Fritz, Peter Filzmoser, Christophe Croux
2012	—	`conf`	A generic model for the integration of interactive visualization and statistical computing using R. IEEE VAST Johannes Kehrer, Roland N. Boubela, Peter Filzmoser, Harald Piringer
2012	—	`conf`	Comparing Classical and Robust Sparse PCA. SMPS Valentin Todorov, Peter Filzmoser
2012	J	`jnl`	Discriminant analysis for compositional data and robust parameter estimation. Comput. Stat. Peter Filzmoser, Karel Hron, Matthias Templ
2012	J	`jnl`	Exploring incomplete data using visualization techniques. Adv. Data Anal. Classif. Matthias Templ, Andreas Alfons, Peter Filzmoser
2012	J	`jnl`	Interpretation of multivariate outliers for compositional data. Comput. Geosci. Peter Filzmoser, Karel Hron, Clemens Reimann
2012	J	`jnl`	Model-based replacement of rounded zeros in compositional data: Classical and robust approaches. Comput. Stat. Data Anal. Josep-Antoni Martín-Fernández, Karel Hron, Matthias Templ, Peter Filzmoser, Javier Palarea-Albaladejo
2012	—	`conf`	Outlier Detection in High Dimension Using Regularization. SMPS Moritz Gschwandtner, Peter Filzmoser
2012	—	`conf`	Robust Diagnostics of Fuzzy Clustering Results Using the Compositional Approach. SMPS Karel Hron, Peter Filzmoser
2012	A*	`conf`	Robust feature selection and robust PCA for internet traffic anomaly detection. INFOCOM Cláudia Pascoal, Maria Rosário de Oliveira, Rui Valadas, Peter Filzmoser, Paulo Salvador, António Pacheco
2012	J	`jnl`	Robust joint modeling of mean and dispersion through trimming. Comput. Stat. Data Anal. N. M. Neykov, Peter Filzmoser, P. N. Neytchev
2012	J	`jnl`	The least trimmed quantile regression. Comput. Stat. Data Anal. N. M. Neykov, Pavel Cízek, Peter Filzmoser, P. N. Neytchev
2011	C	`conf`	Benefits from Using Continuous Rating Scales in Online Survey Research. ICIS Horst Treiblmaier, Peter Filzmoser
2011	J	`jnl`	Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. Cagatay Turkay, Peter Filzmoser, Helwig Hauser
2011	J	`jnl`	Detection of multivariate outliers in business survey data with incomplete information. Adv. Data Anal. Classif. Valentin Todorov, Matthias Templ, Peter Filzmoser
2011	J	`jnl`	Iterative stepwise regression imputation using standard and robust methods. Comput. Stat. Data Anal. Matthias Templ, Alexander Kowarik, Peter Filzmoser
2011	J	`jnl`	Robust variable selection with application to quality of life research. Stat. Methods Appl. Andreas Alfons, Wolfgang E. Baaske, Peter Filzmoser, Wolfgang Mader, Roland Wieser
2011	J	`jnl`	Simulation of close-to-reality population data for household surveys with application to EU-SILC. Stat. Methods Appl. Andreas Alfons, Stefan Kraft, Matthias Templ, Peter Filzmoser
2011	J	`jnl`	Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction. Comput. Graph. Forum Wolfgang Berger, Harald Piringer, Peter Filzmoser, M. Eduard Gröller
2010	—	`conf`	A Comparison of Robust Methods for Pareto Tail Modeling in the Case of Laeken Indicators. SMPS Andreas Alfons, Matthias Templ, Peter Filzmoser, Josef Holzer
2010	J	`jnl`	Brushing Moments in Interactive Visual Analysis. Comput. Graph. Forum Johannes Kehrer, Peter Filzmoser, Helwig Hauser
2010	—	`conf`	Elements of Robust Regression for Data with Absolute and Relative Information. SMPS Karel Hron, Peter Filzmoser
2010	J	`jnl`	Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research. Inf. Manag. Horst Treiblmaier, Peter Filzmoser
2010	J	`jnl`	Imputation of missing values for compositional data using classical and robust methods. Comput. Stat. Data Anal. Karel Hron, Matthias Templ, Peter Filzmoser
2010	—	`conf`	Robust Methods for Compositional Data. COMPSTAT Peter Filzmoser, Karel Hron
2010	J	`jnl`	Robust statistic for the one-way MANOVA. Comput. Stat. Data Anal. Valentin Todorov, Peter Filzmoser
2010	—	`conf`	Soft Methods in Robust Statistics. SMPS Peter Filzmoser
2009	J	`jnl`	Robust factor analysis for compositional data. Comput. Geosci. Peter Filzmoser, Karel Hron, Clemens Reimann, Robert G. Garrett
2008	J	`jnl`	Outlier identification in high dimensions. Comput. Stat. Data Anal. Peter Filzmoser, Ricardo A. Maronna, Mark Werner
2007	J	`jnl`	Robust fitting of mixtures using the trimmed likelihood estimator. Comput. Stat. Data Anal. N. M. Neykov, Peter Filzmoser, R. Dimova, P. N. Neytchev
2005	J	`jnl`	Multivariate outlier detection in exploration geochemistry. Comput. Geosci. Peter Filzmoser, Robert G. Garrett, Clemens Reimann
2005	—	`conf`	Robust Multivariate Methods: The Projection Pursuit Approach. GfKl Peter Filzmoser, Sven Serneels, Christophe Croux, Pierre J. Van Espen
2005	J	`jnl`	Robust canonical correlations: A comparative study. Comput. Stat. João A. Branco, Christophe Croux, Peter Filzmoser, Maria Rosário de Oliveira
2005	—	`conf`	The Partial Robust M-approach. GfKl Sven Serneels, Christophe Croux, Peter Filzmoser, Pierre J. Van Espen
2003	J	`jnl`	Fitting multiplicative models by robust alternating regressions. Stat. Comput. Christophe Croux, Peter Filzmoser, G. Pison, Peter J. Rousseeuw
1998	—	`conf`	Robust Factorization of a Data Matrix. COMPSTAT Christophe Croux, Peter Filzmoser