| 2026 | KDD | DCFO: Density-Based Counterfactuals for Outliers. | Tommaso Amico, Pernille Matthews, Lena Krieger, Arthur Zimek, Ira Assent |
| 2025 | EDBT | High-dimensional density-based clustering using locality-sensitive hashing. | Camilla Birch Okkels, Martin Aumller, Viktor Bello Thomsen, Arthur Zimek |
| 2025 | ICDM | DualEx: Dual-Space Clustering for Regional Explanations. | Pernille Matthews, Tommaso Amico, Arthur Zimek, Ira Assent |
| 2025 | SDM | Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation. | Muhammad Rajabinasab, Anton Danholt Lautrup, Arthur Zimek |
| 2025 | SISAP | Similarity Based on Resample Exposure. | Anton Danholt Lautrup, Hafiz Saud Arshad, Tobias Hyrup, Muhammad Rajabinasab, Arthur Zimek, Peter Schneider-Kamp |
| 2025 | SISAP | Approximate Single-Linkage Clustering Using Graph-Based Indexes: MST-Based Approaches and Incremental Searchers. | Camilla Birch Okkels, Erik Thordsen, Martin Aumller, Arthur Zimek, Erich Schubert |
| 2025 | SISAP | Towards Semi-supervised Subspace Learning for Outlier Detection in Big Data. | Muhammad Rajabinasab, Anton Danholt Lautrup, Peter Schneider-Kamp, Arthur Zimek |
| 2024 | DSAA | Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing. | Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder |
| 2024 | SDM | Dimensionality-Aware Outlier Detection. | Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek |
| 2024 | SISAP | On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphs. | Camilla Birch Okkels, Martin Aumller, Arthur Zimek |
| 2024 | SISAP | A Dynamic Evaluation Metric for Feature Selection. | Muhammad Rajabinasab, Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek |
| 2024 | SISAP | Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers. | Philipp Rchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf |
| 2023 | SDM | An Interpretable Measure of Dataset Complexity for Imbalanced Classification Problems. | Jonatan Mller Nuutinen Gttcke, Colin Bellinger, Paula Branco, Arthur Zimek |
| 2023 | SISAP | SDOclust: Clustering with Sparse Data Observers. | Flix Iglesias, Tanja Zseby, Alexander Hartl, Arthur Zimek |
| 2022 | CIKM | A Simple Meta-path-free Framework for Heterogeneous Network Embedding. | Rui Zhang, Arthur Zimek, Peter Schneider-Kamp |
| 2022 | CIKM | Unsupervised Representation Learning on Attributed Multiplex Network. | Rui Zhang, Arthur Zimek, Peter Schneider-Kamp |
| 2022 | DSAA | Power of Explanations: Towards automatic debiasing in hate speech detection. | Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi |
| 2022 | MDM | Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection. | Erik Andersen, Marco Chiarandini, Marwan Hassani, Stefan Jnicke, Panagiotis Tampakis, Arthur Zimek |
| 2022 | SISAP | Similarity-Based Unsupervised Evaluation of Outlier Detection. | Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jrg Sander |
| 2021 | DSAA | XPROAX-Local explanations for text classification with progressive neighborhood approximation. | Yi Cai, Arthur Zimek, Eirini Ntoutsi |
| 2021 | SISAP | Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities. | Jonatan Mller Nuutinen Gttcke, Arthur Zimek |
| 2021 | SISAP | Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation. | Jonatan Mller Nuutinen Gttcke, Arthur Zimek, Ricardo J. G. B. Campello |
| 2020 | DSAA | Interpretability and Refinement of Clustering. | Flix Iglesias Vzquez, Tanja Zseby, Arthur Zimek |
| 2020 | DSAA | Matching Research Publications to the United Nations' Sustainable Development Goals by Multi-Label-Learning with Hierarchical Categories. | Rui Zhang, Mava Vignes, Ulrich Steiner, Arthur Zimek |
| 2020 | ICAART | Improving Semantic Similarity of Words by Retrofitting Word Vectors in Sense Level. | Rui Zhang, Peter Schneider-Kamp, Arthur Zimek |
| 2019 | SDM | 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). | Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann |
| 2019 | SISAP | Subspace Determination Through Local Intrinsic Dimensional Decomposition. | Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek |
| 2018 | ICDM | Outlier Detection in Urban Traffic Flow Distributions. | Youcef Djenouri, Arthur Zimek, Marco Chiarandini |
| 2018 | ICDM | Outlier Detection Based on Low Density Models. | Flix Iglesias Vzquez, Tanja Zseby, Arthur Zimek |
| 2018 | PAKDD | An Unsupervised Boosting Strategy for Outlier Detection Ensembles. | Guilherme Oliveira Campos, Arthur Zimek, Wagner Meira Jr. |
| 2018 | SISAP | On the Correlation Between Local Intrinsic Dimensionality and Outlierness. | Michael E. Houle, Erich Schubert, Arthur Zimek |
| 2018 | SSDBM | A unified framework of density-based clustering for semi-supervised classification. | Jadson Castro Gertrudes, Arthur Zimek, Jrg Sander, Ricardo J. G. B. Campello |
| 2017 | SDM | Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets. | Daniel Basaran, Eirini Ntoutsi, Arthur Zimek |
| 2017 | SISAP | Good and Bad Neighborhood Approximations for Outlier Detection Ensembles. | Evelyn Kirner, Erich Schubert, Arthur Zimek |
| 2016 | DSAA | On the Evaluation of Outlier Detection and One-Class Classification Methods. | Lorne Swersky, Henrique O. Marques, Jrg Sander, Ricardo J. G. B. Campello, Arthur Zimek |
| 2015 | DASFAA | Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles. | Erich Schubert, Arthur Zimek, Hans-Peter Kriegel |
| 2015 | ICDM | Outlier Detection and Trend Detection: Two Sides of the Same Coin. | Erich Schubert, Michael Weiler, Arthur Zimek |
| 2015 | SSDBM | On the internal evaluation of unsupervised outlier detection. | Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander |
| 2014 | AI | Active Learning Strategies for Semi-Supervised DBSCAN. | Jundong Li, Jrg Sander, Ricardo J. G. B. Campello, Arthur Zimek |
| 2014 | EDBT | Model Selection for Semi-Supervised Clustering. | Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander, Randy Goebel |
| 2014 | ICDE | Discriminative features for identifying and interpreting outliers. | Xuan-Hong Dang, Ira Assent, Raymond T. Ng, Arthur Zimek, Erich Schubert |
| 2014 | KDD | Representative clustering of uncertain data. | Andreas Zfle, Tobias Emrich, Klaus Arthur Schmid, Nikos Mamoulis, Arthur Zimek, Matthias Renz |
| 2014 | SDM | Density-Based Clustering Validation. | Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander |
| 2014 | SDM | Generalized Outlier Detection with Flexible Kernel Density Estimates. | Erich Schubert, Arthur Zimek, Hans-Peter Kriegel |
| 2014 | SSDBM | Data perturbation for outlier detection ensembles. | Arthur Zimek, Ricardo J. G. B. Campello, Jrg Sander |
| 2013 | KDD | Subsampling for efficient and effective unsupervised outlier detection ensembles. | Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jrg Sander |
| 2013 | SIGMOD | Interactive data mining with 3D-parallel-coordinate-trees. | Elke Achtert, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek |
| 2012 | ICDE | Evaluation of Clusterings - Metrics and Visual Support. | Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek |
| 2012 | ICDM | Outlier Detection in Arbitrarily Oriented Subspaces. | Hans-Peter Kriegel, Peer Krger, Erich Schubert, Arthur Zimek |
| 2012 | SDM | Density-based Projected Clustering over High Dimensional Data Streams. | Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Krger, Hans-Peter Kriegel |
| 2012 | SDM | On Evaluation of Outlier Rankings and Outlier Scores. | Erich Schubert, Remigius Wojdanowski, Arthur Zimek, Hans-Peter Kriegel |
| 2011 | SDM | Interpreting and Unifying Outlier Scores. | Hans-Peter Kriegel, Peer Krger, Erich Schubert, Arthur Zimek |
| 2011 | SSDBM | Density Based Subspace Clustering over Dynamic Data. | Hans-Peter Kriegel, Peer Krger, Irene Ntoutsi, Arthur Zimek |
| 2010 | DASFAA | Visual Evaluation of Outlier Detection Models. | Elke Achtert, Hans-Peter Kriegel, Lisa Reichert, Erich Schubert, Remigius Wojdanowski, Arthur Zimek |
| 2010 | ICDE | Subspace similarity search using the ideas of ranking and top-k retrieval. | Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Krger, Matthias Renz, Erich Schubert, Arthur Zimek |
| 2010 | KDD | Towards subspace clustering on dynamic data: an incremental version of PreDeCon. | Hans-Peter Kriegel, Peer Krger, Irene Ntoutsi, Arthur Zimek |
| 2010 | SSDBM | Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces. | Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Krger, Matthias Renz, Erich Schubert, Arthur Zimek |
| 2010 | SSDBM | Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? | Michael E. Houle, Hans-Peter Kriegel, Peer Krger, Erich Schubert, Arthur Zimek |
| 2009 | CIKM | LoOP: local outlier probabilities. | Hans-Peter Kriegel, Peer Krger, Erich Schubert, Arthur Zimek |
| 2009 | PAKDD | Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. | Hans-Peter Kriegel, Peer Krger, Erich Schubert, Arthur Zimek |
| 2008 | APBC | Supervised Ensembles of Prediction Methods for Subcellular Localization. | Johannes Afalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek |
| 2008 | KDD | Angle-based outlier detection in high-dimensional data. | Hans-Peter Kriegel, Matthias Schubert, Arthur Zimek |
| 2008 | SDM | Robust Clustering in Arbitrarily Oriented Subspaces. | Elke Achtert, Christian Bhm, Jrn David, Peer Krger, Arthur Zimek |
| 2008 | SSDBM | ELKI: A Software System for Evaluation of Subspace Clustering Algorithms. | Elke Achtert, Hans-Peter Kriegel, Arthur Zimek |
| 2008 | SSDBM | A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms. | Hans-Peter Kriegel, Peer Krger, Erich Schubert, Arthur Zimek |
| 2007 | DASFAA | Detection and Visualization of Subspace Cluster Hierarchies. | Elke Achtert, Christian Bhm, Hans-Peter Kriegel, Peer Krger, Ina Mller-Gorman, Arthur Zimek |
| 2007 | SDM | Robust, Complete, and Efficient Correlation Clustering. | Elke Achtert, Christian Bhm, Hans-Peter Kriegel, Peer Krger, Arthur Zimek |
| 2007 | SSDBM | On Exploring Complex Relationships of Correlation Clusters. | Elke Achtert, Christian Bhm, Hans-Peter Kriegel, Peer Krger, Arthur Zimek |
| 2006 | ICDM | COSMIC: Conceptually Specified Multi-Instance Clusters. | Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek |
| 2006 | KDD | Deriving quantitative models for correlation clusters. | Elke Achtert, Christian Bhm, Hans-Peter Kriegel, Peer Krger, Arthur Zimek |
| 2006 | SSDBM | Mining Hierarchies of Correlation Clusters. | Elke Achtert, Christian Bhm, Peer Krger, Arthur Zimek |
| 2004 | SIGMOD | Computing Clusters of Correlation Connected Objects. | Christian Bhm, Karin Kailing, Peer Krger, Arthur Zimek |