Peter Filzmoser

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 44

Top Topics

Change Point Detection

Source Separation

Dimensional Data

Outlier Detection

Top Venues

Adv. Data Anal. Classif.

Comput. Stat. Data Anal.

Publications

Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Johanna Schmidt, Silvia Miksch
Data Type Agnostic Visual Sensitivity Analysis. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Claudia Cappello, Nikolaus Piccolotto, Christoph Muehlmann, Markus Bögl, Peter Filzmoser, Silvia Miksch, Klaus Nordhausen
Visual Interactive Parameter Selection for Temporal Blind Source Separation. J. Data Sci. Stat. Vis. 4 (3) (2024)
Gianna Serafina Monti, Peter Filzmoser
A robust knockoff filter for sparse regression analysis of microbiome compositional data. Comput. Stat. 39 (1) (2024)
Fatma Sevinç Kurnaz, Peter Filzmoser
Robust and sparse multinomial regression in high dimensions. Data Min. Knowl. Discov. 37 (4) (2023)
Fatma Sevinç Kurnaz, Peter Filzmoser
enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression. J. Open Source Softw. 8 (82) (2023)
Christopher Rieser, Peter Filzmoser
Extending compositional data analysis from a graph signal processing perspective. J. Multivar. Anal. 198 (2023)
Anna-Christina Glock, Florian Sobieczky, Johannes Fürnkranz, Peter Filzmoser, Martin Jech
Predictive change point detection for heterogeneous data. CoRR (2023)
Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Johanna Schmidt, Silvia Miksch
Data Type Agnostic Visual Sensitivity Analysis. CoRR (2023)
Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch
TBSSvis: Visual analytics for Temporal Blind Source Separation. Vis. Informatics 6 (4) (2022)
Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch
Visual Parameter Selection for Spatial Blind Source Separation. Comput. Graph. Forum 41 (3) (2022)
Christopher Rieser, Peter Filzmoser
Extending compositional data analysis from a graph signal processing perspective. CoRR (2022)
Georg Heiler, Thassilo Gadermaier, Thomas Haider, Allan Hanbury, Peter Filzmoser
Identifying the root cause of cable network problems with machine learning. CoRR (2022)
Gianna Serafina Monti, Peter Filzmoser
Robust logistic zero-sum regression for microbiome compositional data. Adv. Data Anal. Classif. 16 (2) (2022)
Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch
Visual Parameter Selection for Spatial Blind Source Separation. CoRR (2021)
Sara de la Rosa de Sáa, María Asunción Lubiano, Beatriz Sinova, María Ángeles Gil, Peter Filzmoser
Location-Free Robust Scale Estimates for Fuzzy Data. IEEE Trans. Fuzzy Syst. 29 (6) (2021)
Nikola Stefelová, Andreas Alfons, Javier Palarea-Albaladejo, Peter Filzmoser, Karel Hron
Robust regression with compositional covariates including cellwise outliers. Adv. Data Anal. Classif. 15 (4) (2021)
António Pedro Duarte Silva, Paula Brito, Peter Filzmoser, José G. Dias
MAINT.Data: Modelling and Analysing Interval Data in R. R J. 13 (2) (2021)
Gianna Serafina Monti, Peter Filzmoser
Sparse least trimmed squares regression with compositional covariates for high-dimensional data. Bioinform. 37 (21) (2021)
Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels, Tim Verdonck
Cellwise robust M regression. Comput. Stat. Data Anal. 147 (2020)
Dominika Miksová, Peter Filzmoser, Maarit Middleton
Imputation of values above an upper detection limit in compositional data. Comput. Geosci. 136 (2020)
Irene Ortner, Peter Filzmoser, Christophe Croux
Robust and sparse multigroup classification by the optimal scoring approach. Data Min. Knowl. Discov. 34 (3) (2020)
Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch
TBSSvis: Visual Analytics for Temporal Blind Source Separation. CoRR (2020)
Sárka Brodinová, Peter Filzmoser, Thomas Ortner, Christian Breiteneder, Maia Rohm
Robust and sparse k-means clustering for high-dimensional data. Adv. Data Anal. Classif. 13 (4) (2019)
Caterina Gozzi, Peter Filzmoser, Antonella Buccianti, Orlando Vaselli, Barbara Nisi
Statistical methods for the geochemical characterisation of surface waters: The case study of the Tiber River basin (Central Italy). Comput. Geosci. 131 (2019)
Alexander Dür, Peter Filzmoser, Andreas Rauber
Inspecting the Behaviour of Deep Learning Neural Networks. ERCIM News 2019 (116) (2019)
Alexander Wurl, Andreas A. Falkner, Alois Haselböck, Alexandra Mazak, Peter Filzmoser
Exploring Robustness in a Combined Feature Selection Approach. DATA (2019)
Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser
Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection. Comput. Secur. 79 (2018)
Sonia Pérez-Fernández, Pablo Martínez-Camblor, Peter Filzmoser, Norberto Corral
nsROC: An R package for Non-Standard ROC Curve Analysis. R J. 10 (2) (2018)
Sárka Brodinová, Maia Zaharieva, Peter Filzmoser, Thomas Ortner, Christian Breiteneder
Clustering of imbalanced high-dimensional media data. Adv. Data Anal. Classif. 12 (2) (2018)
Peter Filzmoser, Fatma Sevinç Kurnaz
A robust Liu regression estimator. Commun. Stat. Simul. Comput. 47 (2) (2018)
Alexander Wurl, Andreas A. Falkner, Peter Filzmoser, Alois Haselböck, Alexandra Mazak, Simon Sperl
A Comprehensive Prediction Approach for Hardware Asset Management. DATA (Revised Selected Papers) (2018)
Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser
Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection. ISPEC (2018)
António Pedro Duarte Silva, Peter Filzmoser, Paula Brito
Outlier detection in interval data. Adv. Data Anal. Classif. 12 (3) (2018)
Alexander Dür, Andreas Rauber, Peter Filzmoser
Reproducing a Neural Question Answering Architecture Applied to the SQuAD Benchmark Dataset: Challenges and Lessons Learned. ECIR (2018)
Arthur Zimek, Peter Filzmoser
There and back again: Outlier detection between statistical reasoning and data mining algorithms. WIREs Data Mining Knowl. Discov. 8 (6) (2018)
László Grad-Gyenge, Attila Kiss, Peter Filzmoser
Graph Embedding Based Recommendation Techniques on the Knowledge Graph. UMAP (Adjunct Publication) (2017)
Sara de la Rosa de Sáa, María Asunción Lubiano, Beatriz Sinova, Peter Filzmoser
Robust scale estimators for fuzzy data. Adv. Data Anal. Classif. 11 (4) (2017)
Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Roger A. Leite, Silvia Miksch, Alexander Rind
Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Comput. Graph. Forum 36 (3) (2017)
Viktor Vad, Douglas Cedrim, Wolfgang Busch, Peter Filzmoser, Ivan Viola
Generalized box-plot for root growth ensembles. BMC Bioinform. 18 (S-2) (2017)
Karel Hron, Paula Brito, Peter Filzmoser
Exploratory data analysis for interval compositional data. Adv. Data Anal. Classif. 11 (2) (2017)
László Grad-Gyenge, Peter Filzmoser
The Paradigm of Relatedness. BIS (Workshops) (2016)
Karel Hron, Alessandra Menafoglio, Matthias Templ, Klara Hruzová, Peter Filzmoser
Simplicial principal component analysis for density functions in Bayes spaces. Comput. Stat. Data Anal. 94 (2016)
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind
Integrating Predictions in Time Series Model Selection. EuroVA@EuroVis (2015)
Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Silvia Miksch, Wolfgang Aigner, Alexander Rind, Tim Lammarsch
Visually and statistically guided imputation of missing values in univariate seasonal time series. VAST (2015)
Peter Filzmoser, Cristian Gatu, Achim Zeileis
Special issue on statistical algorithms and software in R. Comput. Stat. Data Anal. 71 (2014)
Sara de la Rosa de Sáa, Peter Filzmoser, María Ángeles Gil, María Asunción Lubiano
On the Robustness of Absolute Deviations with Fuzzy Data. SMPS (2014)
Peter Filzmoser, Valentin Todorov
Robust tools for the imperfect world. Inf. Sci. 245 (2013)
Christophe Croux, Peter Filzmoser, Heinrich Fritz
Robust Sparse Principal Component Analysis. Technometrics 55 (2) (2013)
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
RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude. NeuroImage 70 (2013)
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Tim Lammarsch, Silvia Miksch, Alexander Rind
Visual Analytics for Model Selection in Time Series Analysis. IEEE Trans. Vis. Comput. Graph. 19 (12) (2013)
Cláudia Pascoal, Maria Rosário de Oliveira, Rui Valadas, Peter Filzmoser, Paulo Salvador, António Pacheco
Robust feature selection and robust PCA for internet traffic anomaly detection. INFOCOM (2012)
Valentin Todorov, Peter Filzmoser
Comparing Classical and Robust Sparse PCA. SMPS (2012)
Heinrich Fritz, Peter Filzmoser, Christophe Croux
-median. Comput. Stat. 27 (3) (2012)
Johannes Kehrer, Roland N. Boubela, Peter Filzmoser, Harald Piringer
A generic model for the integration of interactive visualization and statistical computing using R. IEEE VAST (2012)
Moritz Gschwandtner, Peter Filzmoser
Outlier Detection in High Dimension Using Regularization. SMPS (2012)
Peter Filzmoser, Karel Hron, Clemens Reimann
Interpretation of multivariate outliers for compositional data. Comput. Geosci. 39 (2012)
N. M. Neykov, Peter Filzmoser, P. N. Neytchev
Robust joint modeling of mean and dispersion through trimming. Comput. Stat. Data Anal. 56 (1) (2012)
Karel Hron, Peter Filzmoser
Robust Diagnostics of Fuzzy Clustering Results Using the Compositional Approach. SMPS (2012)
N. M. Neykov, Pavel Cízek, Peter Filzmoser, P. N. Neytchev
The least trimmed quantile regression. Comput. Stat. Data Anal. 56 (6) (2012)
Peter Filzmoser, Karel Hron, Matthias Templ
Discriminant analysis for compositional data and robust parameter estimation. Comput. Stat. 27 (4) (2012)
Josep-Antoni Martín-Fernández, Karel Hron, Matthias Templ, Peter Filzmoser, Javier Palarea-Albaladejo
Model-based replacement of rounded zeros in compositional data: Classical and robust approaches. Comput. Stat. Data Anal. 56 (9) (2012)
Matthias Templ, Andreas Alfons, Peter Filzmoser
Exploring incomplete data using visualization techniques. Adv. Data Anal. Classif. 6 (1) (2012)
Andreas Alfons, Stefan Kraft, Matthias Templ, Peter Filzmoser
Simulation of close-to-reality population data for household surveys with application to EU-SILC. Stat. Methods Appl. 20 (3) (2011)
Valentin Todorov, Matthias Templ, Peter Filzmoser
Detection of multivariate outliers in business survey data with incomplete information. Adv. Data Anal. Classif. 5 (1) (2011)
Horst Treiblmaier, Peter Filzmoser
Benefits from Using Continuous Rating Scales in Online Survey Research. ICIS (2011)
Cagatay Turkay, Peter Filzmoser, Helwig Hauser
Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 17 (12) (2011)
Andreas Alfons, Wolfgang E. Baaske, Peter Filzmoser, Wolfgang Mader, Roland Wieser
Robust variable selection with application to quality of life research. Stat. Methods Appl. 20 (1) (2011)
Matthias Templ, Alexander Kowarik, Peter Filzmoser
Iterative stepwise regression imputation using standard and robust methods. Comput. Stat. Data Anal. 55 (10) (2011)
Wolfgang Berger, Harald Piringer, Peter Filzmoser, M. Eduard Gröller
Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction. Comput. Graph. Forum 30 (3) (2011)
Peter Filzmoser
Soft Methods in Robust Statistics. SMPS (2010)
Karel Hron, Matthias Templ, Peter Filzmoser
Imputation of missing values for compositional data using classical and robust methods. Comput. Stat. Data Anal. 54 (12) (2010)
Peter Filzmoser, Karel Hron
Robust Methods for Compositional Data. COMPSTAT (2010)
Karel Hron, Peter Filzmoser
Elements of Robust Regression for Data with Absolute and Relative Information. SMPS (2010)
Valentin Todorov, Peter Filzmoser
Robust statistic for the one-way MANOVA. Comput. Stat. Data Anal. 54 (1) (2010)
Horst Treiblmaier, Peter Filzmoser
Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research. Inf. Manag. 47 (4) (2010)
Andreas Alfons, Matthias Templ, Peter Filzmoser, Josef Holzer
A Comparison of Robust Methods for Pareto Tail Modeling in the Case of Laeken Indicators. SMPS (2010)
Johannes Kehrer, Peter Filzmoser, Helwig Hauser
Brushing Moments in Interactive Visual Analysis. Comput. Graph. Forum 29 (3) (2010)
Peter Filzmoser, Karel Hron, Clemens Reimann, Robert G. Garrett
Robust factor analysis for compositional data. Comput. Geosci. 35 (9) (2009)
Peter Filzmoser, Ricardo A. Maronna, Mark Werner
Outlier identification in high dimensions. Comput. Stat. Data Anal. 52 (3) (2008)
N. M. Neykov, Peter Filzmoser, R. Dimova, P. N. Neytchev
Robust fitting of mixtures using the trimmed likelihood estimator. Comput. Stat. Data Anal. 52 (1) (2007)
Sven Serneels, Christophe Croux, Peter Filzmoser, Pierre J. Van Espen
The Partial Robust M-approach. GfKl (2005)
Peter Filzmoser, Robert G. Garrett, Clemens Reimann
Multivariate outlier detection in exploration geochemistry. Comput. Geosci. 31 (5) (2005)
João A. Branco, Christophe Croux, Peter Filzmoser, Maria Rosário de Oliveira
Robust canonical correlations: A comparative study. Comput. Stat. 20 (2) (2005)
Peter Filzmoser, Sven Serneels, Christophe Croux, Pierre J. Van Espen
Robust Multivariate Methods: The Projection Pursuit Approach. GfKl (2005)
Christophe Croux, Peter Filzmoser, G. Pison, Peter J. Rousseeuw
Fitting multiplicative models by robust alternating regressions. Stat. Comput. 13 (1) (2003)
Christophe Croux, Peter Filzmoser
Robust Factorization of a Data Matrix. COMPSTAT (1998)