Emmanuel Müller

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 70

Top Venues

Publications

Simon Klüttermann, Emmanuel Müller
About Test-time training for outlier detection. CoRR (2024)
Simon Klüttermann, Chiara Balestra, Emmanuel Müller
On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. PAKDD (3) (2024)
Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification. CoRR (2024)
Chiara Balestra, Antonio Ferrara, Emmanuel Müller
FairMC Fair-Markov Chain Rank Aggregation Methods. DaWaK (2024)
Simon Klüttermann, Emmanuel Müller
Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection. IJCNN (2023)
Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Müller
On Graph Representation based Re-Identification - A Proof of Concept. ICDM (Workshops) (2023)
Magdalena Wischnewski, Nicole C. Krämer, Emmanuel Müller
Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions. CHI (2023)
Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
Graph Clustering with Graph Neural Networks. J. Mach. Learn. Res. 24 (2023)
Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
RODD: Robust Outlier Detection in Data Cubes. DaWaK (2023)
Simon Lutz, Florian Wittbold, Simon Dierl, Benedikt Böing, Falk Howar, Barbara König, Emmanuel Müller, Daniel Neider
Interpretable Anomaly Detection via Discrete Optimization. CoRR (2023)
Carina Newen, Emmanuel Müller
On the Independence of Adversarial Transferability to Topological Changes in the Dataset. DSAA (2023)
Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller
Contextual Shift Method (CSM). DaWaK (2023)
Chiara Balestra, Bin Li, Emmanuel Müller
On the Consistency and Robustness of Saliency Explanations for Time Series Classification. CoRR (2023)
Bin Li, Emmanuel Müller
Contrastive Time Series Anomaly Detection by Temporal Transformations. IJCNN (2023)
Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller
On Model Performance Estimation in Time Series Anomaly Detection. CIIS (2023)
Bin Li, Emmanuel Müller
State-Transition-Aware Anomaly Detection Under Concept Drifts. DaWaK (2023)
Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr
Redundancy-aware unsupervised rankings for collections of gene sets. CoRR (2023)
Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller
The Good, The Bad, and The Average: Benchmarking of Reconstruction Based Multivariate Time Series Anomaly Detection. ECML/PKDD (7) (2023)
Bin Li, Carsten Jentsch, Emmanuel Müller
Prototypes as Explanation for Time Series Anomaly Detection. CoRR (2023)
Chiara Balestra, Bin Li, Emmanuel Müller
slidSHAPs - sliding Shapley Values for correlation-based change detection in time series. DSAA (2023)
Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
RODD: Robust Outlier Detection in Data Cubes. CoRR (2023)
Benedikt Böing, Simon Klüttermann, Emmanuel Müller
Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection. ICDM (2022)
Benedikt Böing, Emmanuel Müller
On Training and Verifying Robust Autoencoders. DSAA (2022)
Simon Klüttermann, Jérôme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Müller
Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks. ICMLA (2022)
Bin Li, Emmanuel Müller
STAD: State-Transition-Aware Anomaly Detection Under Concept Drifts. OLUD@WCCI (2022)
Benedikt Böing, Falk Howar, Jelle Hüntelmann, Emmanuel Müller, Richard Stewing
Neural Network Verification with DSE. OVERLAY@AI*IA (2022)
Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr
Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis. CoRR (2022)
Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. CoRR (2022)
Carina Newen, Emmanuel Müller
Unsupervised DeepView: Global Explainability of Uncertainties for High Dimensional Data. ICKG (2022)
Daniil Kaminskyi, Bin Li, Emmanuel Müller
Reconstruction-based unsupervised drift detection over multivariate streaming data. ICDM (Workshops) (2022)
Carina Newen, Emmanuel Müller
Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data. ICDM (Workshops) (2022)
Benedikt Tobias Müller, Marvin Ender, Jan Erik Swiadek, Mengcheng Jin, Simon Winkel, Dominik Niedziela, Bin Li, Jelle Hüntelmann, Emmanuel Müller
ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data. ECML/PKDD (6) (2022)
Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. DaWaK (2022)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
Spectral Graph Complexity. CoRR (2022)
Benedikt Böing, Rajarshi Roy, Daniel Neider, Emmanuel Müller
QUGA - Quality Guarantees for Autoencoders. OVERLAY@GandALF (2021)
Erik Scharwächter, Jonathan Lennartz, Emmanuel Müller
Differentiable Segmentation of Sequences. ICLR (2021)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
FREDE: Anytime Graph Embeddings. Proc. VLDB Endow. 14 (6) (2021)
Erik Scharwächter, Emmanuel Müller
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series. CoRR (2020)
Benedikt Böing, Rajarshi Roy, Emmanuel Müller, Daniel Neider
Quality Guarantees for Autoencoders via Unsupervised Adversarial Attacks. ECML/PKDD (2) (2020)
Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
Graph Clustering with Graph Neural Networks. CoRR (2020)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. ICLR (2020)
Erik Scharwächter, Jonathan Lennartz, Emmanuel Müller
Differentiable Segmentation of Sequences. CoRR (2020)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
FREDE: Linear-Space Anytime Graph Embeddings. CoRR (2020)
Erik Scharwächter, Emmanuel Müller
Statistical Evaluation of Anomaly Detectors for Sequences. CoRR (2020)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
The Shape of Data: Intrinsic Distance for Data Distributions. ICLR (2020)
Erik Scharwächter, Emmanuel Müller
Two-Sample Testing for Event Impacts in Time Series. SDM (2020)
Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Müller, Panagiotis Karras
Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging. KDD (2019)
Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra
Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. ICDM (2019)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. CoRR (2019)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
Spectral Graph Complexity. WWW (Companion Volume) (2019)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
Intrinsic Multi-scale Evaluation of Generative Models. CoRR (2019)
Arvind Kumar Shekar, Marcus Pappik, Patricia Iglesias Sánchez, Emmanuel Müller
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification. DS (2018)
Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Müller
Notable Characteristics Search through Knowledge Graphs. CoRR (2018)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
VERSE: Versatile Graph Embeddings from Similarity Measures. WWW (2018)
Freya Behrens, Sebastian Bischoff, Pius Ladenburger, Julius Rückin, Laurenz Seidel, Fabian Stolp, Michael Vaichenker, Adrian Ziegler, Davide Mottin, Fatemeh Aghaei, Emmanuel Müller, Martin Preusse, Nikola Müller, Michael Hunger
MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs. WWW (Companion Volume) (2018)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
NetLSD: Hearing the Shape of a Graph. CoRR (2018)
Erik Scharwächter, Fabian Geier, Lukas Faber, Emmanuel Müller
Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds. PAKDD (2) (2018)
Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
Deep One-Class Classification. ICML (2018)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
VERSE: Versatile Graph Embeddings from Similarity Measures. CoRR (2018)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
NetLSD: Hearing the Shape of a Graph. KDD (2018)
Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Müller
Notable Characteristics Search through Knowledge Graphs. EDBT (2018)
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
SGR: Self-Supervised Spectral Graph Representation Learning. CoRR (2018)
Davide Mottin, Emmanuel Müller
Graph Exploration: From Users to Large Graphs. SIGMOD Conference (2017)
Arvind Kumar Shekar, Patricia Iglesias Sánchez, Emmanuel Müller
Diverse Selection of Feature Subsets for Ensemble Regression. DaWaK (2017)
Louis Kirsch, Niklas Riekenbrauck, Daniel Thevessen, Marcus Pappik, Axel Stebner, Julius Kunze, Alexander Meissner, Arvind Kumar Shekar, Emmanuel Müller
Framework for Exploring and Understanding Multivariate Correlations. ECML/PKDD (3) (2017)
Arvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller
Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets. ECML/PKDD (1) (2017)
Fabian Maschler, Fabian Geier, Bodo Bookhagen, Emmanuel Müller
Locality-Based Graph Clustering of Spatially Embedded Time Series. COMPLEX NETWORKS (2017)
Andranik Khachatryan, Emmanuel Müller, Klemens Böhm, Christian Stier
Improving accuracy and robustness of self-tuning histograms by subspace clustering. ICDE (2016)
Thomas Van Brussel, Emmanuel Müller, Bart Goethals
Discovering Overlapping Quantitative Associations by Density-Based Mining of Relevant Attributes. FoIKS (2016)
Erik Scharwächter, Emmanuel Müller, Jonathan F. Donges, Marwan Hassani, Thomas Seidl
Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. ICDM (2016)
Emin Aksehirli, Bart Goethals, Emmanuel Müller
Efficient Cluster Detection by Ordered Neighborhoods. DaWaK (2015)
Fabian Keller, Emmanuel Müller, Klemens Böhm
Estimating mutual information on data streams. SSDBM (2015)
Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy
MultiClust special issue on discovering, summarizing and using multiple clusterings. Mach. Learn. 98 (1-2) (2015)
Emmanuel Müller
Keynote abstract: Subspace search for community detection and community outlier mining in attributed graphs. SMAP (2015)
Andranik Khachatryan, Emmanuel Müller, Christian Stier, Klemens Böhm
Improving Accuracy and Robustness of Self-Tuning Histograms by Subspace Clustering. IEEE Trans. Knowl. Data Eng. 27 (9) (2015)
Thibault Sellam, Emmanuel Müller, Martin L. Kersten
Semi-Automated Exploration of Data Warehouses. CIKM (2015)
Patricia Iglesias Sánchez, Emmanuel Müller, Uwe Leo Korn, Klemens Böhm, Andrea Kappes, Tanja Hartmann, Dorothea Wagner
Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed Graphs. SDM (2015)
Hoang Vu Nguyen, Klemens Böhm, Florian Becker, Bertrand Goldman, Georg Hinkel, Emmanuel Müller
Identifying User Interests within the Data Space - a Case Study with SkyServer. EDBT (2015)
Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm
Erratum to: Unsupervised interaction-preserving discretization of multivariate data. Data Min. Knowl. Discov. 29 (1) (2015)
Hoang Vu Nguyen, Emmanuel Müller, Klemens Böhm
A Near-Linear Time Subspace Search Scheme for Unsupervised Selection of Correlated Features. Big Data Res. 1 (2014)
Patricia Iglesias Sánchez, Emmanuel Müller, Oretta Irmler, Klemens Böhm
Local context selection for outlier ranking in graphs with multiple numeric node attributes. SSDBM (2014)
Emmanuel Müller
Subspace Search for Community Detection and Community Outlier Mining in Attributed Graphs. LWA (2014)
Hoang Vu Nguyen, Emmanuel Müller, Periklis Andritsos, Klemens Böhm
Detecting correlated columns in relational databases with mixed data types. SSDBM (2014)
Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros, Klemens Böhm
Multivariate Maximal Correlation Analysis. ICML (2014)
Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm
Unsupervised interaction-preserving discretization of multivariate data. Data Min. Knowl. Discov. 28 (5-6) (2014)
Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sánchez, Emmanuel Müller
Focused clustering and outlier detection in large attributed graphs. KDD (2014)
Emmanuel Müller, Patricia Iglesias Sánchez, Yvonne Mülle, Klemens Böhm
Ranking outlier nodes in subspaces of attributed graphs. ICDE Workshops (2013)
Emin Aksehirli, Bart Goethals, Emmanuel Müller, Jilles Vreeken
Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. ICDM (2013)
Patricia Iglesias Sánchez, Emmanuel Müller, Fabian Laforet, Fabian Keller, Klemens Böhm
Statistical Selection of Congruent Subspaces for Mining Attributed Graphs. ICDM (2013)
Klemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken
CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. SDM (2013)
Emmanuel Müller
Flexible Subspace Search for Outlier Detection and Description. LWA (2013)
Hoang Vu Nguyen, Emmanuel Müller, Klemens Böhm
4S: Scalable subspace search scheme overcoming traditional Apriori processing. IEEE BigData (2013)
Fabian Keller, Emmanuel Müller, Andreas Wixler, Klemens Böhm
Flexible and adaptive subspace search for outlier analysis. CIKM (2013)
Andranik Khachatryan, Emmanuel Müller, Christian Stier, Klemens Böhm
Sensitivity of Self-tuning Histograms: Query Order Affecting Accuracy and Robustness. SSDBM (2012)
Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDE (2012)
Emmanuel Müller, Ira Assent, Patricia Iglesias Sánchez, Yvonne Mülle, Klemens Böhm
Outlier Ranking via Subspace Analysis in Multiple Views of the Data. ICDM (2012)
Fabian Keller, Emmanuel Müller, Klemens Böhm
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking. ICDE (2012)
Emmanuel Müller, Fabian Keller, Sebastian Blanc, Klemens Böhm
OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces. ECML/PKDD (2) (2012)
Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl
Scalable density-based subspace clustering. CIKM (2011)
Emmanuel Müller, Matthias Schiffer, Thomas Seidl
Statistical selection of relevant subspace projections for outlier ranking. ICDE (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Emmanuel Müller