Peter Filzmoser

According to our database, Peter Filzmoser authored at least 83 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Predictive change point detection for heterogeneous data.

Anna-Christina Glock, Florian Sobieczky, Johannes Fürnkranz, Peter Filzmoser, Martin Jech

Neural Comput. Appl., September, 2024

A robust knockoff filter for sparse regression analysis of microbiome compositional data.

Gianna Serafina Monti, Peter Filzmoser

Comput. Stat., February, 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., January, 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

2023

enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression.

Fatma Sevinç Kurnaz, Peter Filzmoser

J. Open Source Softw., February, 2023

Extending compositional data analysis from a graph signal processing perspective.

Christopher Rieser, Peter Filzmoser

J. Multivar. Anal., 2023

Robust and sparse multinomial regression in high dimensions.

Fatma Sevinç Kurnaz, Peter Filzmoser

Data Min. Knowl. Discov., 2023

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

Identifying the root cause of cable network problems with machine learning.

Georg Heiler, Thassilo Gadermaier, Thomas Haider, Allan Hanbury, Peter Filzmoser

CoRR, 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

Robust logistic zero-sum regression for microbiome compositional data.

Gianna Serafina Monti, Peter Filzmoser

Adv. Data Anal. Classif., 2022

Massive Data Sets - Is Data Quality Still an Issue?

Peter Filzmoser, Alexandra Mazak-Huemer

Proceedings of the Digital Transformation, 2022

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

MAINT.Data: Modelling and Analysing Interval Data in R.

António Pedro Duarte Silva, Paula Brito, Peter Filzmoser, José G. Dias

R J., 2021

Sparse least trimmed squares regression with compositional covariates for high-dimensional data.

Gianna Serafina Monti, Peter Filzmoser

Bioinform., 2021

Robust regression with compositional covariates including cellwise outliers.

Nikola Stefelová, Andreas Alfons, Javier Palarea-Albaladejo, Peter Filzmoser, Karel Hron

Adv. Data Anal. Classif., 2021

2020

Imputation of values above an upper detection limit in compositional data.

Dominika Miksová, Peter Filzmoser, Maarit Middleton

Comput. Geosci., 2020

Robust and sparse multigroup classification by the optimal scoring approach.

Irene Ortner, Peter Filzmoser, Christophe Croux

Data Min. Knowl. Discov., 2020

Cellwise robust M regression.

Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels, Tim Verdonck

Comput. Stat. Data Anal., 2020

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

Inspecting the Behaviour of Deep Learning Neural Networks.

Alexander Dür, Peter Filzmoser, Andreas Rauber

ERCIM News, 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

Exploring Robustness in a Combined Feature Selection Approach.

Alexander Wurl, Andreas A. Falkner, Alois Haselböck, Alexandra Mazak, Peter Filzmoser

Proceedings of the 8th International Conference on Data Science, 2019

2018

There and back again: Outlier detection between statistical reasoning and data mining algorithms.

Arthur Zimek, Peter Filzmoser

WIREs Data Mining Knowl. Discov., 2018

nsROC: An R package for Non-Standard ROC Curve Analysis.

Sonia Pérez-Fernández, Pablo Martínez-Camblor, Peter Filzmoser, Norberto Corral

R J., 2018

A robust Liu regression estimator.

Peter Filzmoser, Fatma Sevinç Kurnaz

Commun. Stat. Simul. Comput., 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

Outlier detection in interval data.

António Pedro Duarte Silva, Peter Filzmoser, Paula Brito

Adv. Data Anal. Classif., 2018

Clustering of imbalanced high-dimensional media data.

Sárka Brodinová, Maia Zaharieva, Peter Filzmoser, Thomas Ortner, Christian Breiteneder

Adv. Data Anal. Classif., 2018

Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection.

Max Landauer, Markus Wurzenberger, Florian Skopik, Giuseppe Settanni, Peter Filzmoser

Proceedings of the Information Security Practice and Experience, 2018

Reproducing a Neural Question Answering Architecture Applied to the SQuAD Benchmark Dataset: Challenges and Lessons Learned.

Alexander Dür, Andreas Rauber, Peter Filzmoser

Proceedings of the Advances in Information Retrieval, 2018

A Comprehensive Prediction Approach for Hardware Asset Management.

Alexander Wurl, Andreas A. Falkner, Peter Filzmoser, Alois Haselböck, Alexandra Mazak, Simon Sperl

Proceedings of the Data Management Technologies and Applications, 2018

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

Generalized box-plot for root growth ensembles.

Viktor Vad, Douglas Cedrim, Wolfgang Busch, Peter Filzmoser, Ivan Viola

BMC Bioinform., 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

Exploratory data analysis for interval compositional data.

Karel Hron, Paula Brito, Peter Filzmoser

Adv. Data Anal. Classif., 2017

Graph Embedding Based Recommendation Techniques on the Knowledge Graph.

László Grad-Gyenge, Attila Kiss, Peter Filzmoser

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

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

The Paradigm of Relatedness.

László Grad-Gyenge, Peter Filzmoser

Proceedings of the Business Information Systems Workshops, 2016

2015

Integrating Predictions in Time Series Model Selection.

Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind

Proceedings of the 6th International EuroVis Workshop on Visual Analytics, 2015

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

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

2014

Special issue on statistical algorithms and software in R.

Peter Filzmoser, Cristian Gatu, Achim Zeileis

Comput. Stat. Data Anal., 2014

On the Robustness of Absolute Deviations with Fuzzy Data.

Sara de la Rosa de Sáa, Peter Filzmoser, María Ángeles Gil, María Asunción Lubiano

Proceedings of the Strengthening Links Between Data Analysis and Soft Computing, 2014

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

Robust Sparse Principal Component Analysis.

Christophe Croux, Peter Filzmoser, Heinrich Fritz

Technometrics, 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 tools for the imperfect world.

Peter Filzmoser, Valentin Todorov

Inf. Sci., 2013

2012

Interpretation of multivariate outliers for compositional data.

Peter Filzmoser, Karel Hron, Clemens Reimann

Comput. Geosci., 2012

A comparison of algorithms for the multivariate <i>L</i> ₁-median.

Heinrich Fritz, Peter Filzmoser, Christophe Croux

Comput. Stat., 2012

Discriminant analysis for compositional data and robust parameter estimation.

Peter Filzmoser, Karel Hron, Matthias Templ

Comput. Stat., 2012

Robust joint modeling of mean and dispersion through trimming.

N. M. Neykov, Peter Filzmoser, P. N. Neytchev

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

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

Exploring incomplete data using visualization techniques.

Matthias Templ, Andreas Alfons, Peter Filzmoser

Adv. Data Anal. Classif., 2012

Comparing Classical and Robust Sparse PCA.

Valentin Todorov, Peter Filzmoser

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Robust Diagnostics of Fuzzy Clustering Results Using the Compositional Approach.

Karel Hron, Peter Filzmoser

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Outlier Detection in High Dimension Using Regularization.

Moritz Gschwandtner, Peter Filzmoser

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Robust feature selection and robust PCA for internet traffic anomaly detection.

Cláudia Pascoal, Maria Rosário de Oliveira, Rui Valadas, Peter Filzmoser, Paulo Salvador, António Pacheco

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

A generic model for the integration of interactive visualization and statistical computing using R.

Johannes Kehrer, Roland N. Boubela, Peter Filzmoser, Harald Piringer

Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012

2011

Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data.

Cagatay Turkay, Peter Filzmoser, Helwig Hauser

IEEE Trans. Vis. Comput. Graph., 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

Robust variable selection with application to quality of life research.

Andreas Alfons, Wolfgang E. Baaske, Peter Filzmoser, Wolfgang Mader, Roland Wieser

Stat. Methods Appl., 2011

Iterative stepwise regression imputation using standard and robust methods.

Matthias Templ, Alexander Kowarik, Peter Filzmoser

Comput. Stat. Data Anal., 2011

Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction.

Wolfgang Berger, Harald Piringer, Peter Filzmoser, M. Eduard Gröller

Comput. Graph. Forum, 2011

Detection of multivariate outliers in business survey data with incomplete information.

Valentin Todorov, Matthias Templ, Peter Filzmoser

Adv. Data Anal. Classif., 2011

Benefits from Using Continuous Rating Scales in Online Survey Research.

Horst Treiblmaier, Peter Filzmoser

Proceedings of the International Conference on Information Systems, 2011

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

Robust statistic for the one-way MANOVA.

Valentin Todorov, Peter Filzmoser

Comput. Stat. Data Anal., 2010

Imputation of missing values for compositional data using classical and robust methods.

Karel Hron, Matthias Templ, Peter Filzmoser

Comput. Stat. Data Anal., 2010

Brushing Moments in Interactive Visual Analysis.

Johannes Kehrer, Peter Filzmoser, Helwig Hauser

Comput. Graph. Forum, 2010

Elements of Robust Regression for Data with Absolute and Relative Information.

Karel Hron, Peter Filzmoser

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Soft Methods in Robust Statistics.

Peter Filzmoser

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

A Comparison of Robust Methods for Pareto Tail Modeling in the Case of Laeken Indicators.

Andreas Alfons, Matthias Templ, Peter Filzmoser, Josef Holzer

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Robust Methods for Compositional Data.

Peter Filzmoser, Karel Hron

Proceedings of the 19th International Conference on Computational Statistics, 2010

2009

Robust factor analysis for compositional data.

Peter Filzmoser, Karel Hron, Clemens Reimann, Robert G. Garrett

Comput. Geosci., 2009

2008

Outlier identification in high dimensions.

Peter Filzmoser, Ricardo A. Maronna, Mark Werner

Comput. Stat. Data Anal., 2008

2007

Robust fitting of mixtures using the trimmed likelihood estimator.

N. M. Neykov, Peter Filzmoser, R. Dimova, P. N. Neytchev

Comput. Stat. Data Anal., 2007

2005

Multivariate outlier detection in exploration geochemistry.

Peter Filzmoser, Robert G. Garrett, Clemens Reimann

Comput. Geosci., 2005

Robust canonical correlations: A comparative study.

João A. Branco, Christophe Croux, Peter Filzmoser, Maria Rosário de Oliveira

Comput. Stat., 2005

The Partial Robust M-approach.

Sven Serneels, Christophe Croux, Peter Filzmoser, Pierre J. Van Espen

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Robust Multivariate Methods: The Projection Pursuit Approach.

Peter Filzmoser, Sven Serneels, Christophe Croux, Pierre J. Van Espen

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2003

Fitting multiplicative models by robust alternating regressions.

Christophe Croux, Peter Filzmoser, G. Pison, Peter J. Rousseeuw

Stat. Comput., 2003

1998

Robust Factorization of a Data Matrix.

Christophe Croux, Peter Filzmoser

Proceedings of the COMPSTAT 1998, 1998