| 2026 | KI | Comparison of the Runtime of Two Algorithms for the Linear Decomposition of ReLU Networks. | Arn Dietz, Simon Lutz, Martin Brenzke, Thea Radntz, Emmanuel Mller |
| 2026 | PAKDD | Unsupervised Symbolic Anomaly Detection. | Md Maruf Hossain, Tim Katzke, Simon Klttermann, Emmanuel Mller |
| 2025 | DaWaK | Certainty Attacks Using Explainability Preprocessing. | Carina Newen, Sofia Vergara Puccini, Emmanuel Mller |
| 2025 | DSAA | Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks. | Simon Klttermann, Shubham Gupta, Emmanuel Mller |
| 2025 | ICDM | Uncertainty Awareness and Trust in Explainable AI - On Trust Calibration Using Local and Global Explanations. | Carina Newen, Daniel Bodemer, Sonja Glantz, Emmanuel Mller, Magdalena Wischnewski, Lenka Schnaubert |
| 2025 | JELIA | Unsupervised Automata Learning via Discrete Optimization. | Simon Lutz, Daniil Kaminskyi, Florian Wittbold, Simon Dierl, Falk Howar, Barbara Knig, Emmanuel Mller, Daniel Neider |
| 2024 | DaWaK | FairMC Fair-Markov Chain Rank Aggregation Methods. | Chiara Balestra, Antonio Ferrara, Emmanuel Mller |
| 2024 | ICMLA | Towards Highly Efficient Anomaly Detection for Predictive Maintenance. | Simon Klttermann, Vanlal Peka, Philipp Doebler, Emmanuel Mller |
| 2024 | ICMLA | On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification. | Simon Klttermann, Jrme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Mller |
| 2024 | IJCNN | Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances. | Mohammad-Sahadet Hossain, Mohammad Sakhawat Hossain, Simon Klttermann, Emmanuel Mller |
| 2024 | IJCNN | The Phenomenon of Correlated Representations in Contrastive Learning. | Simon Klttermann, Jrme Rutinowski, Emmanuel Mller |
| 2024 | IJCNN | Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms. | Vikas Kumar, Vishesh Srivastava, Sadia Mahjabin, Arindam Pal, Simon Klttermann, Emmanuel Mller |
| 2024 | IJCNN | Cohesive Explanation for Time Series Prediction. | Bin Li, Emmanuel Mller |
| 2024 | PAKDD | On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values. | Simon Klttermann, Chiara Balestra, Emmanuel Mller |
| 2023 | CHI | Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions. | Magdalena Wischnewski, Nicole C. Krmer, Emmanuel Mller |
| 2023 | DaWaK | RODD: Robust Outlier Detection in Data Cubes. | Lara Kuhlmann, Daniel Wilmes, Emmanuel Mller, Markus Pauly, Daniel Horn |
| 2023 | DaWaK | State-Transition-Aware Anomaly Detection Under Concept Drifts. | Bin Li, Emmanuel Mller |
| 2023 | DaWaK | Contextual Shift Method (CSM). | Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Mller |
| 2023 | DSAA | slidSHAPs - sliding Shapley Values for correlation-based change detection in time series. | Chiara Balestra, Bin Li, Emmanuel Mller |
| 2023 | DSAA | On the Independence of Adversarial Transferability to Topological Changes in the Dataset. | Carina Newen, Emmanuel Mller |
| 2023 | ICDM | On Graph Representation based Re-Identification - A Proof of Concept. | Simon Klttermann, Jrme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Mller |
| 2023 | IJCNN | Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection. | Simon Klttermann, Emmanuel Mller |
| 2023 | IJCNN | Contrastive Time Series Anomaly Detection by Temporal Transformations. | Bin Li, Emmanuel Mller |
| 2022 | DaWaK | Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. | Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Mller |
| 2022 | DSAA | On Training and Verifying Robust Autoencoders. | Benedikt Bing, Emmanuel Mller |
| 2022 | ICDM | Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection. | Benedikt Bing, Simon Klttermann, Emmanuel Mller |
| 2022 | ICDM | Reconstruction-based unsupervised drift detection over multivariate streaming data. | Daniil Kaminskyi, Bin Li, Emmanuel Mller |
| 2022 | ICDM | Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data. | Carina Newen, Emmanuel Mller |
| 2022 | ICMLA | Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks. | Simon Klttermann, Jrme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Mller |
| 2021 | ICLR | Differentiable Segmentation of Sequences. | Erik Scharwchter, Jonathan Lennartz, Emmanuel Mller |
| 2020 | ICLR | Deep Semi-Supervised Anomaly Detection. | Lukas Ruff, Robert A. Vandermeulen, Nico Grnitz, Alexander Binder, Emmanuel Mller, Klaus-Robert Mller, Marius Kloft |
| 2020 | ICLR | The Shape of Data: Intrinsic Distance for Data Distributions. | Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Mller |
| 2020 | SDM | Two-Sample Testing for Event Impacts in Time Series. | Erik Scharwchter, Emmanuel Mller |
| 2019 | ICDM | Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. | Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Mller, Danai Koutra |
| 2019 | KDD | Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging. | Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Mller, Panagiotis Karras |
| 2019 | WWW | Spectral Graph Complexity. | Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Mller |
| 2018 | DIS | Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification. | Arvind Kumar Shekar, Marcus Pappik, Patricia Iglesias Snchez, Emmanuel Mller |
| 2018 | EDBT | Notable Characteristics Search through Knowledge Graphs. | Davide Mottin, Bastian Grasnick, Axel Kroschk, Patrick Siegler, Emmanuel Mller |
| 2018 | ICML | Deep One-Class Classification. | Lukas Ruff, Nico Grnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Mller, Marius Kloft |
| 2018 | KDD | NetLSD: Hearing the Shape of a Graph. | Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Mller |
| 2018 | PAKDD | Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds. | Erik Scharwchter, Fabian Geier, Lukas Faber, Emmanuel Mller |
| 2018 | WWW | MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs. | Freya Behrens, Sebastian Bischoff, Pius Ladenburger, Julius Rckin, Laurenz Seidel, Fabian Stolp, Michael Vaichenker, Adrian Ziegler, Davide Mottin, Fatemeh Aghaei, Emmanuel Mller, Martin Preusse, Nikola Mller, Michael Hunger |
| 2018 | WWW | VERSE: Versatile Graph Embeddings from Similarity Measures. | Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Mller |
| 2017 | DaWaK | Diverse Selection of Feature Subsets for Ensemble Regression. | Arvind Kumar Shekar, Patricia Iglesias Snchez, Emmanuel Mller |
| 2017 | SIGMOD | Graph Exploration: From Users to Large Graphs. | Davide Mottin, Emmanuel Mller |
| 2016 | ICDE | Improving accuracy and robustness of self-tuning histograms by subspace clustering. | Andranik Khachatryan, Emmanuel Mller, Klemens Bhm, Christian Stier |
| 2016 | ICDM | Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. | Erik Scharwchter, Emmanuel Mller, Jonathan F. Donges, Marwan Hassani, Thomas Seidl |
| 2015 | CIKM | Semi-Automated Exploration of Data Warehouses. | Thibault Sellam, Emmanuel Mller, Martin L. Kersten |
| 2015 | DaWaK | Efficient Cluster Detection by Ordered Neighborhoods. | Emin Aksehirli, Bart Goethals, Emmanuel Mller |
| 2015 | EDBT | Identifying User Interests within the Data Space - a Case Study with SkyServer. | Hoang Vu Nguyen, Klemens Bhm, Florian Becker, Bertrand Goldman, Georg Hinkel, Emmanuel Mller |
| 2015 | SDM | Efficient Algorithms for a Robust Modularity-Driven Clustering of Attributed Graphs. | Patricia Iglesias Snchez, Emmanuel Mller, Uwe Leo Korn, Klemens Bhm, Andrea Kappes, Tanja Hartmann, Dorothea Wagner |
| 2015 | SSDBM | Estimating mutual information on data streams. | Fabian Keller, Emmanuel Mller, Klemens Bhm |
| 2014 | ICML | Multivariate Maximal Correlation Analysis. | Hoang Vu Nguyen, Emmanuel Mller, Jilles Vreeken, Pavel Efros, Klemens Bhm |
| 2014 | KDD | Focused clustering and outlier detection in large attributed graphs. | Bryan Perozzi, Leman Akoglu, Patricia Iglesias Snchez, Emmanuel Mller |
| 2014 | SSDBM | Detecting correlated columns in relational databases with mixed data types. | Hoang Vu Nguyen, Emmanuel Mller, Periklis Andritsos, Klemens Bhm |
| 2014 | SSDBM | Local context selection for outlier ranking in graphs with multiple numeric node attributes. | Patricia Iglesias Snchez, Emmanuel Mller, Oretta Irmler, Klemens Bhm |
| 2013 | CIKM | Flexible and adaptive subspace search for outlier analysis. | Fabian Keller, Emmanuel Mller, Andreas Wixler, Klemens Bhm |
| 2013 | ICDE | Ranking outlier nodes in subspaces of attributed graphs. | Emmanuel Mller, Patricia Iglesias Snchez, Yvonne Mlle, Klemens Bhm |
| 2013 | ICDM | Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. | Emin Aksehirli, Bart Goethals, Emmanuel Mller, Jilles Vreeken |
| 2013 | ICDM | Statistical Selection of Congruent Subspaces for Mining Attributed Graphs. | Patricia Iglesias Snchez, Emmanuel Mller, Fabian Laforet, Fabian Keller, Klemens Bhm |
| 2013 | SDM | CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. | Klemens Bhm, Fabian Keller, Emmanuel Mller, Hoang Vu Nguyen, Jilles Vreeken |
| 2012 | ICDE | HiCS: High Contrast Subspaces for Density-Based Outlier Ranking. | Fabian Keller, Emmanuel Mller, Klemens Bhm |
| 2012 | ICDE | Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. | Emmanuel Mller, Stephan Gnnemann, Ines Frber, Thomas Seidl |
| 2012 | ICDM | Outlier Ranking via Subspace Analysis in Multiple Views of the Data. | Emmanuel Mller, Ira Assent, Patricia Iglesias Snchez, Yvonne Mlle, Klemens Bhm |
| 2012 | SSDBM | Sensitivity of Self-tuning Histograms: Query Order Affecting Accuracy and Robustness. | Andranik Khachatryan, Emmanuel Mller, Christian Stier, Klemens Bhm |
| 2011 | BTW | A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. | Emmanuel Mller, Ira Assent, Stephan Gnnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl |
| 2011 | CIKM | External evaluation measures for subspace clustering. | Stephan Gnnemann, Ines Frber, Emmanuel Mller, Ira Assent, Thomas Seidl |
| 2011 | CIKM | Scalable density-based subspace clustering. | Emmanuel Mller, Ira Assent, Stephan Gnnemann, Thomas Seidl |
| 2011 | ICDE | Statistical selection of relevant subspace projections for outlier ranking. | Emmanuel Mller, Matthias Schiffer, Thomas Seidl |
| 2011 | ICDM | Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. | Stephan Gnnemann, Emmanuel Mller, Sebastian Raubach, Thomas Seidl |
| 2011 | SSDBM | Efficient Selectivity Estimation by Histogram Construction Based on Subspace Clustering. | Andranik Khachatryan, Emmanuel Mller, Klemens Bhm, Jonida Kopper |
| 2010 | CIKM | Adaptive outlierness for subspace outlier ranking. | Emmanuel Mller, Matthias Schiffer, Thomas Seidl |
| 2010 | DASFAA | Air-Indexing on Error Prone Communication Channels. | Emmanuel Mller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl |
| 2010 | ICDM | Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. | Emmanuel Mller, Stephan Gnnemann, Ines Frber, Thomas Seidl |
| 2009 | CIKM | Detection of orthogonal concepts in subspaces of high dimensional data. | Stephan Gnnemann, Emmanuel Mller, Ines Frber, Thomas Seidl |
| 2009 | ICDM | Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. | Emmanuel Mller, Ira Assent, Stephan Gnnemann, Ralph Krieger, Thomas Seidl |
| 2009 | KDD | EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. | Marwan Hassani, Emmanuel Mller, Thomas Seidl |
| 2009 | SDM | DensEst: Density Estimation for Data Mining in High Dimensional Spaces. | Emmanuel Mller, Ira Assent, Ralph Krieger, Stephan Gnnemann, Thomas Seidl |
| 2009 | SSDBM | HSM: Heterogeneous Subspace Mining in High Dimensional Data. | Emmanuel Mller, Ira Assent, Thomas Seidl |
| 2008 | CIKM | EDSC: efficient density-based subspace clustering. | Ira Assent, Ralph Krieger, Emmanuel Mller, Thomas Seidl |
| 2008 | ICDE | OutRank: ranking outliers in high dimensional data. | Emmanuel Mller, Ira Assent, Uwe Steinhausen, Thomas Seidl |
| 2008 | ICDM | INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. | Ira Assent, Ralph Krieger, Emmanuel Mller, Thomas Seidl |
| 2008 | KDD | Morpheus: interactive exploration of subspace clustering. | Emmanuel Mller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl |
| 2008 | MDM | Mobile Mining and Information Management in HealthNet Scenarios. | Philipp Kranen, David Kensche, Saim Kim, Nadine Zimmermann, Emmanuel Mller, Christoph Quix, Xiang Li, Thomas Gries, Thomas Seidl, Matthias Jarke, Steffen Leonhardt |
| 2007 | BTW | Subspace Clustering fr die Analyse von CGH Daten. | Emmanuel Mller |
| 2007 | ICDM | DUSC: Dimensionality Unbiased Subspace Clustering. | Ira Assent, Ralph Krieger, Emmanuel Mller, Thomas Seidl |