Peter Filzmoser

Orcid: 0000-0002-8014-4682

According to our database1, Peter Filzmoser authored at least 83 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Predictive change point detection for heterogeneous data.
Neural Comput. Appl., September, 2024

A robust knockoff filter for sparse regression analysis of microbiome compositional data.
Comput. Stat., February, 2024

Data Type Agnostic Visual Sensitivity Analysis.
IEEE Trans. Vis. Comput. Graph., January, 2024

Visual Interactive Parameter Selection for Temporal Blind Source Separation.
J. Data Sci. Stat. Vis., 2024

2023
enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression.
J. Open Source Softw., February, 2023

Extending compositional data analysis from a graph signal processing perspective.
J. Multivar. Anal., 2023

Robust and sparse multinomial regression in high dimensions.
Data Min. Knowl. Discov., 2023

2022
TBSSvis: Visual analytics for Temporal Blind Source Separation.
Vis. Informatics, 2022

Identifying the root cause of cable network problems with machine learning.
CoRR, 2022

Visual Parameter Selection for Spatial Blind Source Separation.
Comput. Graph. Forum, 2022

Robust logistic zero-sum regression for microbiome compositional data.
Adv. Data Anal. Classif., 2022

Massive Data Sets - Is Data Quality Still an Issue?
Proceedings of the Digital Transformation, 2022

2021
Location-Free Robust Scale Estimates for Fuzzy Data.
IEEE Trans. Fuzzy Syst., 2021

MAINT.Data: Modelling and Analysing Interval Data in R.
R J., 2021

Sparse least trimmed squares regression with compositional covariates for high-dimensional data.
Bioinform., 2021

Robust regression with compositional covariates including cellwise outliers.
Adv. Data Anal. Classif., 2021

2020
Imputation of values above an upper detection limit in compositional data.
Comput. Geosci., 2020

Robust and sparse multigroup classification by the optimal scoring approach.
Data Min. Knowl. Discov., 2020

Cellwise robust M regression.
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).
Comput. Geosci., 2019

Inspecting the Behaviour of Deep Learning Neural Networks.
ERCIM News, 2019

Robust and sparse k-means clustering for high-dimensional data.
Adv. Data Anal. Classif., 2019

Exploring Robustness in a Combined Feature Selection Approach.
Proceedings of the 8th International Conference on Data Science, 2019

2018
There and back again: Outlier detection between statistical reasoning and data mining algorithms.
WIREs Data Mining Knowl. Discov., 2018

nsROC: An R package for Non-Standard ROC Curve Analysis.
R J., 2018

A robust Liu regression estimator.
Commun. Stat. Simul. Comput., 2018

Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection.
Comput. Secur., 2018

Outlier detection in interval data.
Adv. Data Anal. Classif., 2018

Clustering of imbalanced high-dimensional media data.
Adv. Data Anal. Classif., 2018

Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection.
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.
Proceedings of the Advances in Information Retrieval, 2018

A Comprehensive Prediction Approach for Hardware Asset Management.
Proceedings of the Data Management Technologies and Applications, 2018

2017
Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction.
Comput. Graph. Forum, 2017

Generalized box-plot for root growth ensembles.
BMC Bioinform., 2017

Robust scale estimators for fuzzy data.
Adv. Data Anal. Classif., 2017

Exploratory data analysis for interval compositional data.
Adv. Data Anal. Classif., 2017

Graph Embedding Based Recommendation Techniques on the Knowledge Graph.
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

2016
Simplicial principal component analysis for density functions in Bayes spaces.
Comput. Stat. Data Anal., 2016

The Paradigm of Relatedness.
Proceedings of the Business Information Systems Workshops, 2016

2015
Integrating Predictions in Time Series Model Selection.
Proceedings of the 6th International EuroVis Workshop on Visual Analytics, 2015

Visually and statistically guided imputation of missing values in univariate seasonal time series.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

2014
Special issue on statistical algorithms and software in R.
Comput. Stat. Data Anal., 2014

On the Robustness of Absolute Deviations with Fuzzy Data.
Proceedings of the Strengthening Links Between Data Analysis and Soft Computing, 2014

2013
Visual Analytics for Model Selection in Time Series Analysis.
IEEE Trans. Vis. Comput. Graph., 2013

Robust Sparse Principal Component Analysis.
Technometrics, 2013

RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude.
NeuroImage, 2013

Robust tools for the imperfect world.
Inf. Sci., 2013

2012
Interpretation of multivariate outliers for compositional data.
Comput. Geosci., 2012

A comparison of algorithms for the multivariate <i>L</i> <sub>1</sub>-median.
Comput. Stat., 2012

Discriminant analysis for compositional data and robust parameter estimation.
Comput. Stat., 2012

Robust joint modeling of mean and dispersion through trimming.
Comput. Stat. Data Anal., 2012

The least trimmed quantile regression.
Comput. Stat. Data Anal., 2012

Model-based replacement of rounded zeros in compositional data: Classical and robust approaches.
Comput. Stat. Data Anal., 2012

Exploring incomplete data using visualization techniques.
Adv. Data Anal. Classif., 2012

Comparing Classical and Robust Sparse PCA.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Robust Diagnostics of Fuzzy Clustering Results Using the Compositional Approach.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Outlier Detection in High Dimension Using Regularization.
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.
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.
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.
IEEE Trans. Vis. Comput. Graph., 2011

Simulation of close-to-reality population data for household surveys with application to EU-SILC.
Stat. Methods Appl., 2011

Robust variable selection with application to quality of life research.
Stat. Methods Appl., 2011

Iterative stepwise regression imputation using standard and robust methods.
Comput. Stat. Data Anal., 2011

Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction.
Comput. Graph. Forum, 2011

Detection of multivariate outliers in business survey data with incomplete information.
Adv. Data Anal. Classif., 2011

Benefits from Using Continuous Rating Scales in Online Survey Research.
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.
Inf. Manag., 2010

Robust statistic for the one-way MANOVA.
Comput. Stat. Data Anal., 2010

Imputation of missing values for compositional data using classical and robust methods.
Comput. Stat. Data Anal., 2010

Brushing Moments in Interactive Visual Analysis.
Comput. Graph. Forum, 2010

Elements of Robust Regression for Data with Absolute and Relative Information.
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

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

Robust Methods for Compositional Data.
Proceedings of the 19th International Conference on Computational Statistics, 2010

2009
Robust factor analysis for compositional data.
Comput. Geosci., 2009

2008
Outlier identification in high dimensions.
Comput. Stat. Data Anal., 2008

2007
Robust fitting of mixtures using the trimmed likelihood estimator.
Comput. Stat. Data Anal., 2007

2005
Multivariate outlier detection in exploration geochemistry.
Comput. Geosci., 2005

Robust canonical correlations: A comparative study.
Comput. Stat., 2005

The Partial Robust M-approach.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Robust Multivariate Methods: The Projection Pursuit Approach.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2003
Fitting multiplicative models by robust alternating regressions.
Stat. Comput., 2003

1998
Robust Factorization of a Data Matrix.
Proceedings of the COMPSTAT 1998, 1998


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