Emmanuel Müller

161 papers A* 27A 11B 28C 3Misc 1Journal 47Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FoMo X: Modular Explainability Signals for Outlier Detection Foundation Models. CoRR Simon Klüttermann, Tim Katzke, Phuong Huong Nguyen, Emmanuel Müller
2026	J	`jnl`	RangeAD: Fast On-Model Anomaly Detection. CoRR Luca Hinkamp, Simon Klüttermann, Emmanuel Müller
2026	J	`jnl`	Towards Foundation Models for Consensus Rank Aggregation. CoRR Yijun Jin, Simon Klüttermann, Chiara Balestra, Emmanuel Müller
2026	J	`jnl`	Unsupervised Symbolic Anomaly Detection. CoRR Md Maruf Hossain, Tim Katzke, Simon Klüttermann, Emmanuel Müller
2025	—	`conf`	A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany. xAI (5) Ina Dormuth, Sven Franke, Marlies Hafer, Tim Katzke, Alexander Marx, Emmanuel Müller, Daniel Neider, Markus Pauly, Jérôme Rutinowski
2025	J	`jnl`	A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany. CoRR Ina Dormuth, Sven Franke, Marlies Hafer, Tim Katzke, Alexander Marx, Emmanuel Müller, Daniel Neider, Markus Pauly, Jérôme Rutinowski
2025	B	`conf`	Certainty Attacks Using Explainability Preprocessing. DaWaK Carina Newen, Sofia Vergara Puccini, Emmanuel Müller
2025	J	`jnl`	Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI. CoRR Carina Newen, Luca Hinkamp, Maria Ntonti, Emmanuel Müller
2025	B	`conf`	Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks. DSAA Simon Klüttermann, Shubham Gupta, Emmanuel Müller
2025	J	`jnl`	From Pixels to Graphs: Deep Graph-Level Anomaly Detection on Dermoscopic Images. CoRR Dehn Xu, Tim Katzke, Emmanuel Müller
2025	J	`jnl`	On Uniformly Scaling Flows: A Density-Aligned Approach to Deep One-Class Classification. CoRR Faried Abu Zaid, Tim Katzke, Emmanuel Müller, Daniel Neider
2025	J	`jnl`	Polyra Swarms: A Shape-Based Approach to Machine Learning. CoRR Simon Klüttermann, Emmanuel Müller
2025	J	`jnl`	Rare anomalies require large datasets: About proving the existence of anomalies. CoRR Simon Klüttermann, Emmanuel Müller
2025	—	`conf`	SkinSplain: An XAI Framework for Trust Calibration in Skin Lesion Analysis. xAI (Late-breaking Work, Demos, Doctoral Consortium) Tim Katzke, Mustafa Yalçiner, Jan Corazza, Alfio Ventura, Tim-Moritz Bündert, Emmanuel Müller
2025	A*	`conf`	Uncertainty Awareness and Trust in Explainable AI - On Trust Calibration Using Local and Global Explanations. ICDM Carina Newen, Daniel Bodemer, Sonja Glantz, Emmanuel Müller, Magdalena Wischnewski, Lenka Schnaubert
2025	J	`jnl`	Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations. CoRR Carina Newen, Daniel Bodemer, Sonja Glantz, Emmanuel Müller, Magdalena Wischnewski, Lenka Schnaubert
2025	—	`conf`	Unsupervised Automata Learning via Discrete Optimization. JELIA (1) Simon Lutz, Daniil Kaminskyi, Florian Wittbold, Simon Dierl, Falk Howar, Barbara König, Emmanuel Müller, Daniel Neider
2025	—	`conf`	Unsupervised Surrogate Anomaly Detection. ECML/PKDD (1) Simon Klüttermann, Tim Katzke, Emmanuel Müller
2025	J	`jnl`	Unsupervised Surrogate Anomaly Detection. CoRR Simon Klüttermann, Tim Katzke, Emmanuel Müller
2024	J	`jnl`	About Test-time training for outlier detection. CoRR Simon Klüttermann, Emmanuel Müller
2024	B	`conf`	Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms. IJCNN Vikas Kumar, Vishesh Srivastava, Sadia Mahjabin, Arindam Pal, Simon Klüttermann, Emmanuel Müller
2024	—	`conf`	Benchmarking Trust: A Metric for Trustworthy Machine Learning. xAI (1) Jérôme Rutinowski, Simon Klüttermann, Jan Endendyk, Christopher Reining, Emmanuel Müller
2024	B	`conf`	Cohesive Explanation for Time Series Prediction. IJCNN Bin Li, Emmanuel Müller
2024	B	`conf`	Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances. IJCNN Mohammad-Sahadet Hossain, Mohammad Sakhawat Hossain, Simon Klüttermann, Emmanuel Müller
2024	J	`jnl`	Exploring the Impact of Outlier Variability on Anomaly Detection Evaluation Metrics. CoRR Minjae Ok, Simon Klüttermann, Emmanuel Müller
2024	B	`conf`	FairMC Fair-Markov Chain Rank Aggregation Methods. DaWaK Chiara Balestra, Antonio Ferrara, Emmanuel Müller
2024	C	`conf`	On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification. ICMLA Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller
2024	J	`jnl`	On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification. CoRR Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller
2024	—	`conf`	On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. PAKDD (3) Simon Klüttermann, Chiara Balestra, Emmanuel Müller
2024	—	`ed.`	Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, September 9th, 2024. TempXAI@PKDD/ECML Zahraa S. Abdallah, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Matthias Jakobs, Emmanuel Müller, Maximilian Muschalik, Panagiotis Papapetrou, Amal Saadallah, George Tzagkarakis
2024	J	`jnl`	Ranking evaluation metrics from a group-theoretic perspective. CoRR Chiara Balestra, Andreas Mayr, Emmanuel Müller
2024	J	`jnl`	State-transition-aware anomaly detection under concept drifts. Data Knowl. Eng. Bin Li, Shubham Gupta, Emmanuel Müller
2024	B	`conf`	The Phenomenon of Correlated Representations in Contrastive Learning. IJCNN Simon Klüttermann, Jérôme Rutinowski, Emmanuel Müller
2024	C	`conf`	Towards Highly Efficient Anomaly Detection for Predictive Maintenance. ICMLA Simon Klüttermann, Vanlal Peka, Philipp Doebler, Emmanuel Müller
2023	B	`conf`	Contextual Shift Method (CSM). DaWaK Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller
2023	B	`conf`	Contrastive Time Series Anomaly Detection by Temporal Transformations. IJCNN Bin Li, Emmanuel Müller
2023	B	`conf`	Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection. IJCNN Simon Klüttermann, Emmanuel Müller
2023	J	`jnl`	Graph Clustering with Graph Neural Networks. J. Mach. Learn. Res. Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
2023	J	`jnl`	Interpretable Anomaly Detection via Discrete Optimization. CoRR Simon Lutz, Florian Wittbold, Simon Dierl, Benedikt Böing, Falk Howar, Barbara König, Emmanuel Müller, Daniel Neider
2023	A*	`conf`	Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions. CHI Magdalena Wischnewski, Nicole C. Krämer, Emmanuel Müller
2023	—	`conf`	On Graph Representation based Re-Identification - A Proof of Concept. ICDM (Workshops) Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Müller
2023	—	`conf`	On Model Performance Estimation in Time Series Anomaly Detection. CIIS Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller
2023	J	`jnl`	On the Consistency and Robustness of Saliency Explanations for Time Series Classification. CoRR Chiara Balestra, Bin Li, Emmanuel Müller
2023	B	`conf`	On the Independence of Adversarial Transferability to Topological Changes in the Dataset. DSAA Carina Newen, Emmanuel Müller
2023	J	`jnl`	Prototypes as Explanation for Time Series Anomaly Detection. CoRR Bin Li, Carsten Jentsch, Emmanuel Müller
2023	B	`conf`	RODD: Robust Outlier Detection in Data Cubes. DaWaK Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
2023	J	`jnl`	RODD: Robust Outlier Detection in Data Cubes. CoRR Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
2023	J	`jnl`	Redundancy-aware unsupervised rankings for collections of gene sets. CoRR Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr
2023	B	`conf`	State-Transition-Aware Anomaly Detection Under Concept Drifts. DaWaK Bin Li, Emmanuel Müller
2023	—	`conf`	The Good, The Bad, and The Average: Benchmarking of Reconstruction Based Multivariate Time Series Anomaly Detection. ECML/PKDD (7) Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller
2023	B	`conf`	slidSHAPs - sliding Shapley Values for correlation-based change detection in time series. DSAA Chiara Balestra, Bin Li, Emmanuel Müller
2022	—	`conf`	ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data. ECML/PKDD (6) Benedikt Tobias Müller, Marvin Ender, Jan Erik Swiadek, Mengcheng Jin, Simon Winkel, Dominik Niedziela, Bin Li, Jelle Hüntelmann, Emmanuel Müller
2022	—	`conf`	Neural Network Verification with DSE. OVERLAY@AI*IA Benedikt Böing, Falk Howar, Jelle Hüntelmann, Emmanuel Müller, Richard Stewing
2022	B	`conf`	On Training and Verifying Robust Autoencoders. DSAA Benedikt Böing, Emmanuel Müller
2022	A*	`conf`	Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection. ICDM Benedikt Böing, Simon Klüttermann, Emmanuel Müller
2022	—	`conf`	Reconstruction-based unsupervised drift detection over multivariate streaming data. ICDM (Workshops) Daniil Kaminskyi, Bin Li, Emmanuel Müller
2022	J	`jnl`	Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis. CoRR Chiara Balestra, Carlo Maj, Emmanuel Müller, Andreas Mayr
2022	—	`conf`	STAD: State-Transition-Aware Anomaly Detection Under Concept Drifts. OLUD@WCCI Bin Li, Emmanuel Müller
2022	J	`jnl`	Spectral Graph Complexity. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2022	C	`conf`	Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks. ICMLA Simon Klüttermann, Jérôme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Müller
2022	—	`conf`	Unsupervised DeepView: Global Explainability of Uncertainties for High Dimensional Data. ICKG Carina Newen, Emmanuel Müller
2022	—	`conf`	Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data. ICDM (Workshops) Carina Newen, Emmanuel Müller
2022	B	`conf`	Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. DaWaK Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
2022	J	`jnl`	Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. CoRR Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller
2021	A*	`conf`	Differentiable Segmentation of Sequences. ICLR Erik Scharwächter, Jonathan Lennartz, Emmanuel Müller
2021	J	`jnl`	FREDE: Anytime Graph Embeddings. Proc. VLDB Endow. Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2021	—	`conf`	QUGA - Quality Guarantees for Autoencoders. OVERLAY@GandALF Benedikt Böing, Rajarshi Roy, Daniel Neider, Emmanuel Müller
2020	A*	`conf`	Deep Semi-Supervised Anomaly Detection. ICLR Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2020	J	`jnl`	Differentiable Segmentation of Sequences. CoRR Erik Scharwächter, Jonathan Lennartz, Emmanuel Müller
2020	J	`jnl`	Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series. CoRR Erik Scharwächter, Emmanuel Müller
2020	J	`jnl`	FREDE: Linear-Space Anytime Graph Embeddings. CoRR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2020	J	`jnl`	Graph Clustering with Graph Neural Networks. CoRR Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
2020	—	`conf`	Quality Guarantees for Autoencoders via Unsupervised Adversarial Attacks. ECML/PKDD (2) Benedikt Böing, Rajarshi Roy, Emmanuel Müller, Daniel Neider
2020	J	`jnl`	Statistical Evaluation of Anomaly Detectors for Sequences. CoRR Erik Scharwächter, Emmanuel Müller
2020	A*	`conf`	The Shape of Data: Intrinsic Distance for Data Distributions. ICLR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2020	A	`conf`	Two-Sample Testing for Event Impacts in Time Series. SDM Erik Scharwächter, Emmanuel Müller
2019	J	`jnl`	Deep Semi-Supervised Anomaly Detection. CoRR Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2019	A*	`conf`	Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging. KDD Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Müller, Panagiotis Karras
2019	J	`jnl`	Intrinsic Multi-scale Evaluation of Generative Models. CoRR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2019	A*	`conf`	Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. ICDM Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra
2019	—	`conf`	Spectral Graph Complexity. WWW (Companion Volume) Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	A*	`conf`	Deep One-Class Classification. ICML Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
2018	—	`conf`	Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds. PAKDD (2) Erik Scharwächter, Fabian Geier, Lukas Faber, Emmanuel Müller
2018	—	`conf`	MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs. WWW (Companion Volume) 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
2018	A*	`conf`	NetLSD: Hearing the Shape of a Graph. KDD Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	J	`jnl`	NetLSD: Hearing the Shape of a Graph. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	B	`conf`	Notable Characteristics Search through Knowledge Graphs. EDBT Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Müller
2018	J	`jnl`	Notable Characteristics Search through Knowledge Graphs. CoRR Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Müller
2018	J	`jnl`	SGR: Self-Supervised Spectral Graph Representation Learning. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	B	`conf`	Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification. DS Arvind Kumar Shekar, Marcus Pappik, Patricia Iglesias Sánchez, Emmanuel Müller
2018	A*	`conf`	VERSE: Versatile Graph Embeddings from Similarity Measures. WWW Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
2018	J	`jnl`	VERSE: Versatile Graph Embeddings from Similarity Measures. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
2017	B	`conf`	Diverse Selection of Feature Subsets for Ensemble Regression. DaWaK Arvind Kumar Shekar, Patricia Iglesias Sánchez, Emmanuel Müller
2017	—	`conf`	Framework for Exploring and Understanding Multivariate Correlations. ECML/PKDD (3) Louis Kirsch, Niklas Riekenbrauck, Daniel Thevessen, Marcus Pappik, Axel Stebner, Julius Kunze, Alexander Meissner, Arvind Kumar Shekar, Emmanuel Müller
2017	—	`conf`	Graph Exploration: From Users to Large Graphs. SIGMOD Conference Davide Mottin, Emmanuel Müller
2017	—	`conf`	Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets. ECML/PKDD (1) Arvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller
2017	—	`conf`	Locality-Based Graph Clustering of Spatially Embedded Time Series. COMPLEX NETWORKS Fabian Maschler, Fabian Geier, Bodo Bookhagen, Emmanuel Müller
2016	A*	`conf`	Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. ICDM Erik Scharwächter, Emmanuel Müller, Jonathan F. Donges, Marwan Hassani, Thomas Seidl
2016	—	`conf`	Discovering Overlapping Quantitative Associations by Density-Based Mining of Relevant Attributes. FoIKS Thomas Van Brussel, Emmanuel Müller, Bart Goethals
2016	A*	`conf`	Improving accuracy and robustness of self-tuning histograms by subspace clustering. ICDE Andranik Khachatryan, Emmanuel Müller, Klemens Böhm, Christian Stier
2016	—	`ed.`	Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Potsdam, Germany, September 12-14, 2016. LWDA Ralf Krestel, Davide Mottin, Emmanuel Müller
2015	A	`conf`	Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed Graphs. SDM Patricia Iglesias Sánchez, Emmanuel Müller, Uwe Leo Korn, Klemens Böhm, Andrea Kappes, Tanja Hartmann, Dorothea Wagner
2015	B	`conf`	Efficient Cluster Detection by Ordered Neighborhoods. DaWaK Emin Aksehirli, Bart Goethals, Emmanuel Müller
2015	J	`jnl`	Erratum to: Unsupervised interaction-preserving discretization of multivariate data. Data Min. Knowl. Discov. Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm
2015	B	`conf`	Estimating mutual information on data streams. SSDBM Fabian Keller, Emmanuel Müller, Klemens Böhm
2015	B	`conf`	Identifying User Interests within the Data Space - a Case Study with SkyServer. EDBT Hoang Vu Nguyen, Klemens Böhm, Florian Becker, Bertrand Goldman, Georg Hinkel, Emmanuel Müller
2015	J	`jnl`	Improving Accuracy and Robustness of Self-Tuning Histograms by Subspace Clustering. IEEE Trans. Knowl. Data Eng. Andranik Khachatryan, Emmanuel Müller, Christian Stier, Klemens Böhm
2015	—	`conf`	Keynote abstract: Subspace search for community detection and community outlier mining in attributed graphs. SMAP Emmanuel Müller
2015	J	`jnl`	MultiClust special issue on discovering, summarizing and using multiple clusterings. Mach. Learn. Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy
2015	A	`conf`	Semi-Automated Exploration of Data Warehouses. CIKM Thibault Sellam, Emmanuel Müller, Martin L. Kersten
2014	J	`jnl`	A Near-Linear Time Subspace Search Scheme for Unsupervised Selection of Correlated Features. Big Data Res. Hoang Vu Nguyen, Emmanuel Müller, Klemens Böhm
2014	B	`conf`	Detecting correlated columns in relational databases with mixed data types. SSDBM Hoang Vu Nguyen, Emmanuel Müller, Periklis Andritsos, Klemens Böhm
2014	A*	`conf`	Focused clustering and outlier detection in large attributed graphs. KDD Bryan Perozzi, Leman Akoglu, Patricia Iglesias Sánchez, Emmanuel Müller
2014	B	`conf`	Local context selection for outlier ranking in graphs with multiple numeric node attributes. SSDBM Patricia Iglesias Sánchez, Emmanuel Müller, Oretta Irmler, Klemens Böhm
2014	A*	`conf`	Multivariate Maximal Correlation Analysis. ICML Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros, Klemens Böhm
2014	—	`conf`	Subspace Search for Community Detection and Community Outlier Mining in Attributed Graphs. LWA Emmanuel Müller
2014	J	`jnl`	Unsupervised interaction-preserving discretization of multivariate data. Data Min. Knowl. Discov. Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm
2013	—	`conf`	4S: Scalable subspace search scheme overcoming traditional Apriori processing. IEEE BigData Hoang Vu Nguyen, Emmanuel Müller, Klemens Böhm
2013	A	`conf`	CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. SDM Klemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken
2013	A*	`conf`	Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. ICDM Emin Aksehirli, Bart Goethals, Emmanuel Müller, Jilles Vreeken
2013	—	`ch.`	Data Analysis Challenges in the Future Energy. Computational Intelligent Data Analysis for Sustainable Development Frank Eichinger, Daniel Pathmaperuma, Harald Vogt, Emmanuel Müller
2013	—	`conf`	Flexible Subspace Search for Outlier Detection and Description. LWA Emmanuel Müller
2013	A	`conf`	Flexible and adaptive subspace search for outlier analysis. CIKM Fabian Keller, Emmanuel Müller, Andreas Wixler, Klemens Böhm
2013	—	`conf`	Ranking outlier nodes in subspaces of attributed graphs. ICDE Workshops Emmanuel Müller, Patricia Iglesias Sánchez, Yvonne Mülle, Klemens Böhm
2013	A*	`conf`	Statistical Selection of Congruent Subspaces for Mining Attributed Graphs. ICDM Patricia Iglesias Sánchez, Emmanuel Müller, Fabian Laforet, Fabian Keller, Klemens Böhm
2012	—	`ed.`	3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012. MultiClust@SDM Emmanuel Müller, Thomas Seidl, Suresh Venkatasubramanian, Arthur Zimek
2012	A*	`conf`	Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDE Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl
2012	A*	`conf`	HiCS: High Contrast Subspaces for Density-Based Outlier Ranking. ICDE Fabian Keller, Emmanuel Müller, Klemens Böhm
2012	—	`conf`	OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces. ECML/PKDD (2) Emmanuel Müller, Fabian Keller, Sebastian Blanc, Klemens Böhm
2012	A*	`conf`	Outlier Ranking via Subspace Analysis in Multiple Views of the Data. ICDM Emmanuel Müller, Ira Assent, Patricia Iglesias Sánchez, Yvonne Mülle, Klemens Böhm
2012	B	`conf`	Sensitivity of Self-tuning Histograms: Query Order Affecting Accuracy and Robustness. SSDBM Andranik Khachatryan, Emmanuel Müller, Christian Stier, Klemens Böhm
2011	Misc	`conf`	A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. BTW Emmanuel Müller, Ira Assent, Stephan Günnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl
2011	B	`conf`	Efficient Selectivity Estimation by Histogram Construction Based on Subspace Clustering. SSDBM Andranik Khachatryan, Emmanuel Müller, Klemens Böhm, Jonida Kopper
2011	A	`conf`	External evaluation measures for subspace clustering. CIKM Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl
2011	A*	`conf`	Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. ICDM Stephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl
2011	—	`ed.`	Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, Athens, Greece, September 5, 2011, in conjunction with ECML/PKDD 2011 MultiClust@ECML/PKDD Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl
2011	A	`conf`	Scalable density-based subspace clustering. CIKM Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl
2011	A*	`conf`	Statistical selection of relevant subspace projections for outlier ranking. ICDE Emmanuel Müller, Matthias Schiffer, Thomas Seidl
2010	A	`conf`	Adaptive outlierness for subspace outlier ranking. CIKM Emmanuel Müller, Matthias Schiffer, Thomas Seidl
2010	—	`conf`	Air-Indexing on Error Prone Communication Channels. DASFAA (1) Emmanuel Müller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl
2010	A*	`conf`	Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDM Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl
2009	A	`conf`	DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl
2009	A	`conf`	Detection of orthogonal concepts in subspaces of high dimensional data. CIKM Stephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl
2009	—	`conf`	EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. KDD Workshop on Knowledge Discovery from Sensor Data Marwan Hassani, Emmanuel Müller, Thomas Seidl
2009	J	`jnl`	Evaluating Clustering in Subspace Projections of High Dimensional Data. Proc. VLDB Endow. Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl
2009	B	`conf`	HSM: Heterogeneous Subspace Mining in High Dimensional Data. SSDBM Emmanuel Müller, Ira Assent, Thomas Seidl
2009	A*	`conf`	Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. ICDM Emmanuel Müller, Ira Assent, Stephan Günnemann, Ralph Krieger, Thomas Seidl
2009	J	`jnl`	SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces. Datenbank-Spektrum Matthias Schiffer, Emmanuel Müller, Thomas Seidl
2008	A	`conf`	EDSC: efficient density-based subspace clustering. CIKM Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2008	A*	`conf`	INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. ICDM Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2008	B	`conf`	Mobile Mining and Information Management in HealthNet Scenarios. MDM Philipp Kranen, David Kensche, Saim Kim, Nadine Zimmermann, Emmanuel Müller, Christoph Quix, Xiang Li, Thomas Gries, Thomas Seidl, Matthias Jarke, Steffen Leonhardt
2008	A*	`conf`	Morpheus: interactive exploration of subspace clustering. KDD Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl
2008	—	`conf`	OutRank: ranking outliers in high dimensional data. ICDE Workshops Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl
2008	—	`conf`	Outlier detection and ranking based on subspace clustering. Uncertainty Management in Information Systems Thomas Seidl, Emmanuel Müller, Ira Assent, Uwe Steinhausen
2008	—	`conf`	Pleiades: Subspace Clustering and Evaluation. ECML/PKDD (2) Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl
2008	J	`jnl`	Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation. BMC Bioinform. David Ruau, Corinna Kolárik, Heinz-Theodor Mevissen, Emmanuel Müller, Ira Assent, Ralph Krieger, Thomas Seidl, Martin Hofmann-Apitius, Martin Zenke
2007	A*	`conf`	DUSC: Dimensionality Unbiased Subspace Clustering. ICDM Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2007	—	`conf`	Subspace Clustering für die Analyse von CGH Daten. BTW Studierendenprogramm Emmanuel Müller
2007	—	`conf`	Subspace outlier mining in large multimedia databases. Parallel Universes and Local Patterns Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2007	J	`jnl`	VISA: visual subspace clustering analysis. SIGKDD Explor. Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2006	—	`conf`	MediSign - Secure Pharmaceutic Distribution. Informatiktage Maximilian Möllers, Emmanuel Müller, Daniel Neider, Leszek Seweryn