Emmanuel Müller
53 publications
14 venues
H Index 21
Affiliation
Technical University of Dortmund, GermanyHasso Plattner Institute, Potsdam, Germany
Karlsruhe Institute of Technology, IPD, Germany
RWTH Aachen University, Germany
Links
DBLPGoogle Scholar
ORCID- http://ls9-www.cs.tu-dortmund.de/
- https://dl.acm.org/profile/81350600194
- https://zbmath.org/authors/?q=ai:muller.emmanuel
- https://mathscinet.ams.org/mathscinet/MRAuthorID/1081702
- https://mathgenealogy.org/id.php?id=151359
- https://www.wikidata.org/entity/Q102372001
- https://dblp.uni-trier.de/pers/hd/m/M=uuml=ller:Emmanuel_Alexander
| Name | Venue | Year | citations |
|---|---|---|---|
Cohesive Explanation for Time Series Prediction.
|
IJCNN | 2024 | 0 |
| Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances.
|
IJCNN | 2024 | 0 |
| Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms.
|
IJCNN | 2024 | 0 |
| The Phenomenon of Correlated Representations in Contrastive Learning.
|
IJCNN | 2024 | 0 |
| On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values.
|
PAKDD | 2024 | 0 |
| Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection.
|
IJCNN | 2023 | 0 |
| Contrastive Time Series Anomaly Detection by Temporal Transformations.
|
IJCNN | 2023 | 0 |
| Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions.
|
CHI | 2023 | 0 |
| The Good, The Bad, and The Average: Benchmarking of Reconstruction Based Multivariate Time Series Anomaly Detection.
|
ECML/PKDD | 2023 | 0 |
| Graph Clustering with Graph Neural Networks.
|
JMLR | 2023 | 0 |
| Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection.
|
ICDM | 2022 | 0 |
| ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data.
|
ECML/PKDD | 2022 | 0 |
| Differentiable Segmentation of Sequences.
|
ICLR | 2021 | 0 |
| Two-Sample Testing for Event Impacts in Time Series.
|
SDM | 2020 | 8 |
| Quality Guarantees for Autoencoders via Unsupervised Adversarial Attacks.
|
ECML/PKDD | 2020 | 8 |
| Deep Semi-Supervised Anomaly Detection.
|
ICLR | 2020 | 0 |
| The Shape of Data: Intrinsic Distance for Data Distributions.
|
ICLR | 2020 | 0 |
| Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket.
|
ICDM | 2019 | 23 |
| Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging.
|
KDD | 2019 | 6 |
| NetLSD: Hearing the Shape of a Graph.
|
KDD | 2018 | 109 |
| Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds.
|
PAKDD | 2018 | 1 |
| VERSE: Versatile Graph Embeddings from Similarity Measures.
|
WWW | 2018 | 212 |
| Deep One-Class Classification.
|
ICML | 2018 | 939 |
| Framework for Exploring and Understanding Multivariate Correlations.
|
ECML/PKDD | 2017 | 2 |
| Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets.
|
ECML/PKDD | 2017 | 11 |
| Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining.
|
ICDM | 2016 | 12 |
| Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed Graphs.
|
SDM | 2015 | 21 |
| Semi-Automated Exploration of Data Warehouses.
|
CIKM | 2015 | 10 |
| Erratum to: Unsupervised interaction-preserving discretization of multivariate data.
|
DMKD | 2015 | 0 |
| MultiClust special issue on discovering, summarizing and using multiple clusterings.
|
MLJ | 2015 | 0 |
| Focused clustering and outlier detection in large attributed graphs.
|
KDD | 2014 | 201 |
| Multivariate Maximal Correlation Analysis.
|
ICML | 2014 | 42 |
| Unsupervised interaction-preserving discretization of multivariate data.
|
DMKD | 2014 | 0 |
| Flexible and adaptive subspace search for outlier analysis.
|
CIKM | 2013 | 21 |
| CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection.
|
SDM | 2013 | 65 |
| Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data.
|
ICDM | 2013 | 12 |
| Statistical Selection of Congruent Subspaces for Mining Attributed Graphs.
|
ICDM | 2013 | 56 |
| OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces.
|
ECML/PKDD | 2012 | 14 |
| Outlier Ranking via Subspace Analysis in Multiple Views of the Data.
|
ICDM | 2012 | 69 |
| External evaluation measures for subspace clustering.
|
CIKM | 2011 | 56 |
| Scalable density-based subspace clustering.
|
CIKM | 2011 | 24 |
| Flexible Fault Tolerant Subspace Clustering for Data with Missing Values.
|
ICDM | 2011 | 19 |
| Adaptive outlierness for subspace outlier ranking.
|
CIKM | 2010 | 34 |
| Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data.
|
ICDM | 2010 | 72 |
| SOREX: Subspace Outlier Ranking Exploration Toolkit.
|
ECML/PKDD | 2010 | 0 |
| DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
|
SDM | 2009 | 46 |
| Detection of orthogonal concepts in subspaces of high dimensional data.
|
CIKM | 2009 | 47 |
| Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data.
|
ICDM | 2009 | 99 |
| EDSC: efficient density-based subspace clustering.
|
CIKM | 2008 | 36 |
| INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy.
|
ICDM | 2008 | 109 |
| Pleiades: Subspace Clustering and Evaluation.
|
ECML/PKDD | 2008 | 11 |
| Morpheus: interactive exploration of subspace clustering.
|
KDD | 2008 | 41 |
| DUSC: Dimensionality Unbiased Subspace Clustering.
|
ICDM | 2007 | 140 |