| 2026 | MMM | PRSM: A Measure to Evaluate CLIP's Robustness Against Paraphrases. | Udo Schlegel, Franziska Weeber, Jian Lan, Thomas Seidl |
| 2025 | ADBIS | Towards Trace Variant Explainability. | Iuliana Malina Grigore, Gabriel Marques Tavares, Vincenzo Pasquadibisceglie, Thomas Seidl, Sylvio Barbon Junior |
| 2025 | BPM | BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction. | Simon Rauch, Christian M. M. Frey, Andrea Maldonado, Thomas Seidl |
| 2025 | CVPR | ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. | Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius |
| 2025 | ICDM | MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection. | Walid Durani, Philipp Jahn, Thomas Seidl, Claudia Plant, Christian Bhm |
| 2025 | ICPM | SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms. | Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl |
| 2025 | PAKDD | DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning. | Mamdouh Aljoud, Gabriel Marques Tavares, Collin Leiber, Thomas Seidl |
| 2024 | BPM | GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. | Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl |
| 2024 | ECCV | RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos. | Tanveer Hannan, Md Mohaiminul Islam, Thomas Seidl, Gedas Bertasius |
| 2024 | ICDM | Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters. | Collin Leiber, Niklas Strau, Matthias Schubert, Thomas Seidl |
| 2024 | ICPM | iGEDI: interactive Generating Event Data with Intentional Features. | Andrea Maldonado, Sai Anirudh Aryasomayajula, Christian M. M. Frey, Thomas Seidl |
| 2024 | ICPM | Process-Aware Bayesian Networks for Sequential Event Log Queries. | Simon Rauch, Christian M. M. Frey, Ludwig Zellner, Thomas Seidl |
| 2024 | ICPM | CC-HIT: Creating Counterfactuals from High-Impact Transitions. | Zhicong Xian, Ludwig Zellner, Gabriel Marques Tavares, Thomas Seidl |
| 2024 | ICPR | GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation. | Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl |
| 2024 | PAKDD | On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises. | Ludwig Zellner, Simon Rauch, Janina Sontheim, Thomas Seidl |
| 2023 | AAAI | InstanceFormer: An Online Video Instance Segmentation Framework. | Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp |
| 2023 | ACL | Cross-Domain Argument Quality Estimation. | Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl |
| 2023 | ECAI | Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. | David Winkel, Niklas Strau, Matthias Schubert, Thomas Seidl |
| 2023 | ICPM | FEEED: Feature Extraction from Event Data. | Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl |
| 2023 | ICPM | Process Mining Techniques for Collusion Detection in Online Exams. | Andrea Maldonado, Ludwig Zellner, Sven Strickroth, Thomas Seidl |
| 2023 | IJCNN | Adaptive Multi-Resolution Attention with Linear Complexity. | Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp |
| 2023 | PAKDD | Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. | David Winkel, Niklas Strau, Matthias Schubert, Yunpu Ma, Thomas Seidl |
| 2022 | ICDM | VERIPS: Verified Pseudo-label Selection for Deep Active Learning. | Sandra Gilhuber, Philipp Jahn, Yunpu Ma, Thomas Seidl |
| 2021 | AAAI | Argument Mining Driven Analysis of Peer-Reviews. | Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl |
| 2021 | BTW | Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering. | Sandra Obermeier, Anna Beer, Florian Wahl, Thomas Seidl |
| 2021 | ECIR | Diversity Aware Relevance Learning for Argument Search. | Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman |
| 2021 | EDBT | KISS - A fast kNN-based Importance Score for Subspaces. | Anna Beer, Ekaterina Allerborn, Valentin Hartmann, Thomas Seidl |
| 2021 | ICPM | PErrCas: Process Error Cascade Mining in Trace Streams. | Anna Wimbauer, Florian Richter, Thomas Seidl |
| 2021 | SSDBM | NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. | Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl |
| 2020 | BPM | TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimation. | Florian Richter, Janina Sontheim, Ludwig Zellner, Thomas Seidl |
| 2020 | CIKM | Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. | Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl |
| 2020 | DASFAA | AMTICS: Aligning Micro-clusters to Identify Cluster Structures. | Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl |
| 2020 | ECAI | PushNet: Efficient and Adaptive Neural Message Passing. | Julian Busch, Jiaxing Pi, Thomas Seidl |
| 2020 | ECIR | Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. | Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl |
| 2020 | ICDM | I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. | Daniyal Kazempour, Anna Beer, Peer Krger, Thomas Seidl |
| 2020 | ICDM | Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering. | Daniyal Kazempour, Peer Krger, Thomas Seidl |
| 2020 | ICDM | You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters. | Daniyal Kazempour, Long Mathias Yan, Peer Krger, Thomas Seidl |
| 2020 | ICPM | Keynote Data Mining on Process Data. | Thomas Seidl |
| 2020 | ICPM | Performance Skyline: Inferring Process Performance Models from Interval Events. | Andrea Maldonado, Janina Sontheim, Florian Richter, Thomas Seidl |
| 2020 | ICPM | TOAD: Trace Ordering for Anomaly Detection. | Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl |
| 2020 | ICPM | OTOSO: Online Trace Ordering for Structural Overviews. | Florian Richter, Andrea Maldonado, Ludwig Zellner, Thomas Seidl |
| 2020 | ICPM | Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. | Ludwig Zellner, Florian Richter, Janina Sontheim, Andrea Maldonado, Thomas Seidl |
| 2020 | IIWAS | KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection. | Yao Zhang, Yifeng Lu, Thomas Seidl |
| 2020 | IJCNN | k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. | Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl |
| 2020 | PAKDD | Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform. | Felix Borutta, Daniyal Kazempour, Felix Mathy, Peer Krger, Thomas Seidl |
| 2020 | SISAP | Angle-Based Clustering. | Anna Beer, Dominik Seeholzer, Nadine Sarah Schler, Thomas Seidl |
| 2020 | SSDBM | Orderings of Data - More Than a Tripping Hazard: Visionary. | Anna Beer, Valentin Hartmann, Thomas Seidl |
| 2019 | BPM | LIProMa: Label-Independent Process Matching. | Florian Richter, Ludwig Zellner, Imen Azaiz, David Winkel, Thomas Seidl |
| 2019 | BTW | Chain-detection for DBSCAN. | Janis Held, Anna Beer, Thomas Seidl |
| 2019 | BTW | DICE: Density-based Interactive Clustering and Exploration. | Daniyal Kazempour, Maksim Kazakov, Peer Krger, Thomas Seidl |
| 2019 | EDBT | Rock - Let the points roam to their clusters themselves. | Anna Beer, Daniyal Kazempour, Thomas Seidl |
| 2019 | EDBT | Insights into a running clockwork: On interactive process-aware clustering. | Daniyal Kazempour, Thomas Seidl |
| 2019 | EDBT | A Galaxy of Correlations. | Daniyal Kazempour, Lisa Krombholz, Peer Krger, Thomas Seidl |
| 2019 | HCI | Human Learning in Data Science. | Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl |
| 2019 | HCI | Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data. | Daniyal Kazempour, Anna Beer, Thomas Seidl |
| 2019 | WISE | LSCMiner: Efficient Low Support Closed Itemsets Mining. | Yifeng Lu, Florian Richter, Thomas Seidl |
| 2019 | SISAP | MORe++: k-Means Based Outlier Removal on High-Dimensional Data. | Anna Beer, Jennifer Lauterbach, Thomas Seidl |
| 2019 | SISAP | SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. | Maximilian Archimedes Xaver Hnemrder, Daniyal Kazempour, Peer Krger, Thomas Seidl |
| 2019 | SISAP | On coMADs and Principal Component Analysis. | Daniyal Kazempour, Max Hnemrder, Thomas Seidl |
| 2019 | SSDBM | Graph Ordering and Clustering: A Circular Approach. | Anna Beer, Thomas Seidl |
| 2019 | SSDBM | LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function. | Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl |
| 2019 | SSDBM | On systematic hyperparameter analysis through the example of subspace clustering. | Daniyal Kazempour, Thomas Seidl |
| 2019 | SSDBM | Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform. | Daniyal Kazempour, Kilian Emmerig, Peer Krger, Thomas Seidl |
| 2018 | DASFAA | Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal. | Yifeng Lu, Florian Richter, Thomas Seidl |
| 2018 | DSAA | Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing. | Yifeng Lu, Thomas Seidl |
| 2018 | SISAP | D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space. | Daniyal Kazempour, Kevin Bein, Peer Krger, Thomas Seidl |
| 2018 | SSDBM | PARADISO: an interactive approach of parameter selection for the mean shift algorithm. | Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl |
| 2017 | BPM | TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times. | Florian Richter, Thomas Seidl |
| 2017 | BTW | Multimedia Similarity Search. | Thomas Seidl |
| 2017 | SAC | Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction. | Marwan Hassani, Daniel Tws, Thomas Seidl |
| 2017 | SISAP | Fast Similarity Search with the Earth Mover's Distance via Feasible Initialization and Pruning. | Merih Seran Uysal, Kai Driessen, Tobias Brockhoff, Thomas Seidl |
| 2017 | SSDBM | Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform. | Daniyal Kazempour, Markus Mauder, Peer Krger, Thomas Seidl |
| 2017 | SSDBM | Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering. | Yifeng Lu, Marwan Hassani, Thomas Seidl |
| 2016 | CCGRID | I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools. | Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl |
| 2016 | DASFAA | Approximation-Based Efficient Query Processing with the Earth Mover's Distance. | Merih Seran Uysal, Daniel Sabinasz, Thomas Seidl |
| 2016 | EDBT | Distance-based Multimedia Indexing. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2016 | EDBT | Towards an Efficient Ranking of Interval-Based Patterns. | Marwan Hassani, Yifeng Lu, Thomas Seidl |
| 2016 | EDBT | Efficient Query Processing using the Earth's Mover Distance in Video Databases. | Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Jochen Schmcking, Thomas Seidl |
| 2016 | HCI | Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data. | Laurens De Vocht, Christian Beecks, Ruben Verborgh, Erik Mannens, Thomas Seidl, Rik Van de Walle |
| 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 |
| 2016 | SDM | Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSN. | Roland Assam, Subramanyam Sathyanarayana, Thomas Seidl |
| 2015 | BTW | Distance-based Multimedia Indexing. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2015 | BTW | Sequential Pattern Mining of Multimodal Streams in the Humanities. | Marwan Hassani, Christian Beecks, Daniel Tws, Tatiana Serbina, Max Haberstroh, Paula Niemietz, Sabina Jeschke, Stella Neumann, Thomas Seidl |
| 2015 | BTW | Big Data-Zentren - Vorstellung und Panel. | Volker Markl, Erhard Rahm, Wolfgang Lehner, Michael Beigl, Thomas Seidl |
| 2015 | BTW | Optimizing Sequential Pattern Mining Within Multiple Streams. | Daniel Tws, Marwan Hassani, Christian Beecks, Thomas Seidl |
| 2015 | CBMI | On efficient content-based near-duplicate video detection. | Merih Seran Uysal, Christian Beecks, Thomas Seidl |
| 2015 | CIKM | Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases. | Christian Beecks, Merih Seran Uysal, Judith Hermanns, Thomas Seidl |
| 2015 | CIKM | Large-scale Efficient and Effective Video Similarity Search. | Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl |
| 2015 | ICDM | Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases. | Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl |
| 2015 | ISM | Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance. | Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl |
| 2015 | ISM | Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments. | Christian Beecks, Klaus Schoeffmann, Mathias Lux, Merih Seran Uysal, Thomas Seidl |
| 2015 | ISM | Earth Mover's Distance vs. Quadratic form Distance: An Analytical and Empirical Comparison. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2015 | ISM | Effective Content-Based Near-Duplicate Video Detection. | Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl |
| 2015 | KDD | Adaptive Stream Clustering Using Incremental Graph Maintenance. | Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl |
| 2015 | MMM | Content-Based Image Retrieval with Gaussian Mixture Models. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2015 | PAKDD | Internal Clustering Evaluation of Data Streams. | Marwan Hassani, Thomas Seidl |
| 2015 | SISAP | Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. | Michael Hund, Michael Behrisch, Ines Frber, Michael Sedlmair, Tobias Schreck, Thomas Seidl, Daniel A. Keim |
| 2015 | SISAP | FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover's Distance. | Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl |
| 2015 | SSDBM | Efficient similarity search in scientific databases with feature signatures. | Merih Seran Uysal, Christian Beecks, Jochen Schmcking, Thomas Seidl |
| 2014 | CIKM | Towards Named-Entity-based Similarity Measures: Challenges and Opportunities. | Tom De Nies, Christian Beecks, Wesley De Neve, Thomas Seidl, Erik Mannens, Rik Van de Walle |
| 2014 | CIKM | On Efficient Query Processing with the Earth Mover's Distance. | Merih Seran Uysal, Christian Beecks, Thomas Seidl |
| 2014 | CIKM | Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures. | Merih Seran Uysal, Christian Beecks, Jochen Schmcking, Thomas Seidl |
| 2014 | DASFAA | Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering. | Marwan Hassani, Thomas Seidl |
| 2014 | EDBT | Projected Clustering for Huge Data Sets in MapReduce. | Sergej Fries, Stephan Wels, Thomas Seidl |
| 2014 | ICDE | PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce. | Sergej Fries, Brigitte Boden, Grzegorz Stepien, Thomas Seidl |
| 2014 | ICDM | Check-in Location Prediction Using Wavelets and Conditional Random Fields. | Roland Assam, Thomas Seidl |
| 2014 | KDD | SMVC: semi-supervised multi-view clustering in subspace projections. | Stephan Gnnemann, Ines Frber, Matthias Sebastian Rdiger, Thomas Seidl |
| 2014 | MUM | Context-based location clustering and prediction using conditional random fields. | Roland Assam, Thomas Seidl |
| 2014 | PAKDD | Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System. | Marwan Hassani, Ayman Tarakji, Lyubomir Georgiev, Thomas Seidl |
| 2014 | UIC | Near-Optimal Activity Prediction through Efficient Wavelet Modulus Maxima Partitioning and Conditional Random Fields. | Roland Assam, Thomas Seidl |
| 2014 | WiMob | Activity recognition from sensors using dyadic wavelets and Hidden Markov Model. | Roland Assam, Thomas Seidl |
| 2014 | SSDBM | (k, d)-core anonymity: structural anonymization of massive networks. | Roland Assam, Marwan Hassani, Michael Brysch, Thomas Seidl |
| 2014 | SSDBM | Subspace anytime stream clustering. | Marwan Hassani, Philipp Kranen, Rajveer Saini, Thomas Seidl |
| 2014 | SSDBM | Inverse predictions on continuous models in scientific databases. | Anca Maria Zimmer, Philip Driessen, Philipp Kranen, Thomas Seidl |
| 2013 | BTW | MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. | Thomas Seidl, Sergej Fries, Brigitte Boden |
| 2013 | CBMI | Content-based exploration of multimedia databases. | Christian Beecks, Merih Seran Uysal, Philip Driessen, Thomas Seidl |
| 2013 | CIKM | Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform. | Brigitte Boden, Roman Haag, Thomas Seidl |
| 2013 | DASFAA | Untitled record | Marwan Hassani, Yunsu Kim, Thomas Seidl |
| 2013 | ICCSA | Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data. | Ayman Tarakji, Marwan Hassani, Stefan Lankes, Thomas Seidl |
| 2013 | ICDM | Spectral Subspace Clustering for Graphs with Feature Vectors. | Stephan Gnnemann, Ines Frber, Sebastian Raubach, Thomas Seidl |
| 2013 | ICDM | An Evaluation Framework for Temporal Subspace Clustering Approaches. | Hardy Kremer, Stephan Gnnemann, Arne Held, Thomas Seidl |
| 2013 | ICDM | Adaptive Model Tree for Streaming Data. | Anca Maria Zimmer, Michael Kurze, Thomas Seidl |
| 2013 | PAKDD | Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. | Stephan Gnnemann, Brigitte Boden, Ines Frber, Thomas Seidl |
| 2013 | PAKDD | Effective Evaluation Measures for Subspace Clustering of Data Streams. | Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl |
| 2013 | TrustCom | A Model for Context-Aware Location Identity Preservation Using Differential Privacy. | Roland Assam, Thomas Seidl |
| 2013 | UIC | BodyGuards: A Clairvoyant Location Predictor Using Frequent Neighbors and Markov Model. | Roland Assam, Thomas Seidl |
| 2013 | UIC | Private Map Matching: Realistic Private Route Cognition on Road Networks. | Roland Assam, Thomas Seidl |
| 2013 | SSDBM | RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs. | Brigitte Boden, Stephan Gnnemann, Holger Hoffmann, Thomas Seidl |
| 2013 | SSDBM | Nesting the earth mover's distance for effective cluster tracing. | Hardy Kremer, Stephan Gnnemann, Simon Wollwage, Thomas Seidl |
| 2012 | CIKM | Tracing clusters in evolving graphs with node attributes. | Brigitte Boden, Stephan Gnnemann, Thomas Seidl |
| 2012 | CIKM | A tool for automated evaluation of algorithms. | Philipp Kranen, Stephan Wels, Tim Rohlfs, Sebastian Raubach, Thomas Seidl |
| 2012 | DASFAA | AnyOut: Anytime Outlier Detection on Streaming Data. | Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl |
| 2012 | DASFAA | PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction. | Anca Maria Ivanescu, Philipp Kranen, Manfred Smieschek, Philip Driessen, Thomas Seidl |
| 2012 | DASFAA | Stream Data Mining Using the MOA Framework. | Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read |
| 2012 | ICDE | Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. | Emmanuel Mller, Stephan Gnnemann, Ines Frber, Thomas Seidl |
| 2012 | ICDM | A Subspace Clustering Extension for the KNIME Data Mining Framework. | Stephan Gnnemann, Hardy Kremer, Richard Musiol, Roman Haag, Thomas Seidl |
| 2012 | ICDM | Employing the Principal Hessian Direction for Building Hinging Hyperplane Models. | Anca Maria Ivanescu, Thivaharan Albin, Dirk Abel, Thomas Seidl |
| 2012 | ICDM | Effective and Robust Mining of Temporal Subspace Clusters. | Hardy Kremer, Stephan Gnnemann, Arne Held, Thomas Seidl |
| 2012 | KDD | Mining coherent subgraphs in multi-layer graphs with edge labels. | Brigitte Boden, Stephan Gnnemann, Holger Hoffmann, Thomas Seidl |
| 2012 | KDD | Multi-view clustering using mixture models in subspace projections. | Stephan Gnnemann, Ines Frber, Thomas Seidl |
| 2012 | KDD | Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. | Stephan Gnnemann, Ines Frber, Kittipat Virochsiri, Thomas Seidl |
| 2012 | MMM | On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval. | Christian Beecks, Thomas Seidl |
| 2012 | Mobiquitous | Differential Private Trajectory Obfuscation. | Roland Assam, Marwan Hassani, Thomas Seidl |
| 2012 | PAKDD | Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. | Hardy Kremer, Stephan Gnnemann, Arne Held, Thomas Seidl |
| 2012 | SSDBM | Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types. | Stephan Gnnemann, Brigitte Boden, Thomas Seidl |
| 2012 | SSDBM | Hinging Hyperplane Models for Multiple Predicted Variables. | Anca Maria Ivanescu, Philipp Kranen, Thomas Seidl |
| 2012 | SSDBM | BT* - An Advanced Algorithm for Anytime Classification. | Philipp Kranen, Marwan Hassani, Thomas Seidl |
| 2011 | BTW | Filtertechniken fr geschtzte biometrische Datenbanken. | Christian Bhm, Ines Frber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther |
| 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 | BTW | Feature-Based Graph Similarity with Co-Occurrence Histograms and the Earth Mover's Distance. | Marc Wichterich, Anca Maria Ivanescu, Thomas Seidl |
| 2011 | CIKM | External evaluation measures for subspace clustering. | Stephan Gnnemann, Ines Frber, Emmanuel Mller, Ira Assent, Thomas Seidl |
| 2011 | CIKM | Processing the signature quadratic form distance on many-core GPU architectures. | Martin Krulis, Jakub Lokoc, Christian Beecks, Toms Skopal, Thomas Seidl |
| 2011 | CIKM | Scalable density-based subspace clustering. | Emmanuel Mller, Ira Assent, Stephan Gnnemann, Thomas Seidl |
| 2011 | EDBT | Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations. | Stephan Gnnemann, Hardy Kremer, Dominik Lenhard, Thomas Seidl |
| 2011 | ICCV | Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance. | Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, 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 | KDD | An effective evaluation measure for clustering on evolving data streams. | Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer |
| 2011 | MDM | Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams. | Marwan Hassani, Thomas Seidl |
| 2011 | MMM | Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. | Christian Beecks, Ira Assent, Thomas Seidl |
| 2011 | MMM | Untitled record | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2011 | PAKDD | Tracing Evolving Clusters by Subspace and Value Similarity. | Stephan Gnnemann, Hardy Kremer, Charlotte Laufktter, Thomas Seidl |
| 2011 | PAKDD | ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information. | Anca Maria Ivanescu, Marc Wichterich, Thomas Seidl |
| 2011 | SISAP | Applying similarity search for the investigation of the fuel injection process. | Christian Beecks, Anca Maria Ivanescu, Thomas Seidl, Diana Martin, Philipp Pischke, Reinhold Kneer |
| 2011 | SISAP | Parameterized earth mover's distance for efficient metric space indexing. | Jakub Lokoc, Christian Beecks, Thomas Seidl, Toms Skopal |
| 2011 | SSDBM | Hierarchical Clustering for Real-Time Stream Data with Noise. | Philipp Kranen, Felix Reidl, Fernando Snchez Villaamil, Thomas Seidl |
| 2011 | SSDBM | Efficient Processing of Multiple DTW Queries in Time Series Databases. | Hardy Kremer, Stephan Gnnemann, Anca Maria Ivanescu, Ira Assent, Thomas Seidl |
| 2010 | CIKM | Adaptive outlierness for subspace outlier ranking. | Emmanuel Mller, Matthias Schiffer, Thomas Seidl |
| 2010 | DASFAA | Speeding Up Complex Video Copy Detection Queries. | Ira Assent, Hardy Kremer, Thomas Seidl |
| 2010 | DASFAA | Air-Indexing on Error Prone Communication Channels. | Emmanuel Mller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl |
| 2010 | EDBT | Pattern detector: fast detection of suspicious stream patterns for immediate reaction. | Ira Assent, Hardy Kremer, Stephan Gnnemann, Thomas Seidl |
| 2010 | ICDE | Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2010 | ICDM | Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. | Stephan Gnnemann, Ines Frber, Brigitte Boden, Thomas Seidl |
| 2010 | ICDM | MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. | Stephan Gnnemann, Hardy Kremer, Ines Frber, Thomas Seidl |
| 2010 | ICDM | Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. | Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer |
| 2010 | ICDM | Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques. | Hardy Kremer, Stephan Gnnemann, Thomas Seidl |
| 2010 | ICDM | Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. | Emmanuel Mller, Stephan Gnnemann, Ines Frber, Thomas Seidl |
| 2010 | ICPR | Improving the Efficiency of Content-Based Multimedia Exploration. | Christian Beecks, Sascha Wiedenfeld, Thomas Seidl |
| 2010 | KDD | Detecting outliers on arbitrary data streams using anytime approaches. | Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl |
| 2010 | PAKDD | Subgraph Mining on Directed and Weighted Graphs. | Stephan Gnnemann, Thomas Seidl |
| 2010 | PAKDD | Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. | Philipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl |
| 2010 | SDM | Subspace Clustering for Uncertain Data. | Stephan Gnnemann, Hardy Kremer, Thomas Seidl |
| 2010 | SISAP | Similarity matrix compression for efficient signature quadratic form distance computation. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2010 | SSDBM | MC-Tree: Improving Bayesian Anytime Classification. | Philipp Kranen, Stephan Gnnemann, Sergej Fries, Thomas Seidl |
| 2009 | BTW | High-Dimensional Indexing for Multimedia Features. | Ira Assent, Stephan Gnnemann, Hardy Kremer, Thomas Seidl |
| 2009 | BTW | Metrische Anpassung der Earth Mover's Distanz zur hnlichkeitssuche in Multimedia-Datenbanken. | Christian Beecks, Marc Wichterich, Thomas Seidl |
| 2009 | CIKM | Detection of orthogonal concepts in subspaces of high dimensional data. | Stephan Gnnemann, Emmanuel Mller, Ines Frber, Thomas Seidl |
| 2009 | CIKM | Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. | Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl |
| 2009 | EDBT | Type-based categorization of relational attributes. | Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seidl, Divesh Srivastava, Suresh Venkatasubramanian |
| 2009 | EDBT | Indexing density models for incremental learning and anytime classification on data streams. | Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, Jennifer Herrmann |
| 2009 | ICDM | Self-Adaptive Anytime Stream Clustering. | Philipp Kranen, Ira Assent, Corinna Baldauf, 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 | VLDB | Using Index Structures for Anytime Stream Mining. | Philipp Kranen, 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 | EDBT | The TS-tree: efficient time series search and retrieval. | Ira Assent, Ralph Krieger, Farzad Afschari, Thomas Seidl |
| 2008 | ICDE | Efficient similarity search using the Earth Mover's Distance for large multimedia databases. | Ira Assent, Marc Wichterich, Tobias Meisen, Thomas Seidl |
| 2008 | ICDE | OutRank: ranking outliers in high dimensional data. | Emmanuel Mller, Ira Assent, Uwe Steinhausen, Thomas Seidl |
| 2008 | ICDE | Ranking multimedia databases via relevance feedback with history and foresight support. | Marc Wichterich, Christian Beecks, 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 |
| 2008 | PAKDD | SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. | Ira Assent, Ralph Krieger, Petra Welter, Jrg Herbers, Thomas Seidl |
| 2008 | SIGMOD | Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. | Marc Wichterich, Ira Assent, Philipp Kranen, Thomas Seidl |
| 2008 | SSDBM | IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS. | Christoph Brochhaus, Thomas Seidl |
| 2007 | ICDE | AttentionAttractor: efficient video stream similarity query processing in real time. | Ira Assent, Ralph Krieger, Thomas Seidl |
| 2007 | ICDM | DUSC: Dimensionality Unbiased Subspace Clustering. | Ira Assent, Ralph Krieger, Emmanuel Mller, Thomas Seidl |
| 2007 | VLDB | IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing. | Christoph Brochhaus, Thomas Seidl |
| 2006 | EDBT | Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search. | Christoph Brochhaus, Marc Wichterich, Thomas Seidl |
| 2006 | ICDE | Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. | Ira Assent, Andrea Wenning, Thomas Seidl |
| 2006 | ICDM | Spatial Multidimensional Sequence Clustering. | Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl |
| 2005 | BTW | Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server. | Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze |
| 2005 | KDD | CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. | Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl |
| 2005 | VLDB | Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases. | Jost Enderle, Nicole Schneider, Thomas Seidl |
| 2004 | DASFAA | A Cost Model for Spatial Intersection Queries on RI-Trees. | Hans-Peter Kriegel, Martin Pfeifle, Marco Ptke, Thomas Seidl |
| 2004 | EDBT | Efficient Similarity Search for Hierarchical Data in Large Databases. | Karin Kailing, Hans-Peter Kriegel, Stefan Schnauer, Thomas Seidl |
| 2004 | ICDE | Efficient Similarity Search in Large Databases of Tree Structured Objects. | Karin Kailing, Hans-Peter Kriegel, Stefan Schnauer, Thomas Seidl |
| 2004 | SIGMOD | Joining Interval Data in Relational Databases. | Jost Enderle, Matthias Hampel, Thomas Seidl |
| 2003 | BTW | The Paradigm of Relational Indexing: a Survey. | Hans-Peter Kriegel, Martin Pfeifle, Marco Ptke, Thomas Seidl |
| 2003 | DASFAA | Effective Similarity Search on Voxelized CAD Object. | Hans-Peter Kriegel, Peer Krger, Zahi Mashael, Martin Pfeifle, Marco Ptke, Thomas Seidl |
| 2003 | DASFAA | Spatial Query Processing for High Resolutions. | Hans-Peter Kriegel, Martin Pfeifle, Marco Ptke, Thomas Seidl |
| 2002 | SSDBM | A Cost Model for Interval Intersection Queries on RI-Trees. | Hans-Peter Kriegel, Martin Pfeifle, Marco Ptke, Thomas Seidl |
| 2001 | DaWaK | Adaptable Similarity Search Using Vector Quantization. | Christian Bhm, Hans-Peter Kriegel, Thomas Seidl |
| 2001 | ICDE | DIVE: Database Integration for Virtual Engineering. | Hans-Peter Kriegel, Andreas Mller, Marco Ptke, Thomas Seidl |
| 2001 | SIGMOD | Spatial Data Management for Computer Aided Design. | Hans-Peter Kriegel, Andreas Mller, Marco Ptke, Thomas Seidl |
| 2000 | VLDB | Managing Intervals Efficiently in Object-Relational Databases. | Hans-Peter Kriegel, Marco Ptke, Thomas Seidl |
| 1999 | ISMB | Nearest Neighbor Classification in 3D Protein Databases. | Mihael Ankerst, Gabi Kastenmller, Hans-Peter Kriegel, Thomas Seidl |
| 1998 | ICDE | Fast Nearest Neighbor Search in High-Dimensional Space. | Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl |
| 1998 | SIGMOD | Optimal Multi-Step k-Nearest Neighbor Search. | Thomas Seidl, Hans-Peter Kriegel |
| 1998 | VLDB | Improving Adaptable Similarity Query Processing by Using Approximations. | Mihael Ankerst, Bernhard Braunmller, Hans-Peter Kriegel, Thomas Seidl |
| 1997 | VLDB | Efficient User-Adaptable Similarity Search in Large Multimedia Databases. | Thomas Seidl, Hans-Peter Kriegel |
| 1995 | BTW | Formbasierte Suche nach komplementren 3D-Oberflchen in einer Protein-Datenbank. | Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu |
| 1995 | ISMB | Solvent Accessible Surface Representation in a Database System for Protein Docking. | Thomas Seidl, Hans-Peter Kriegel |
| 1994 | ICDE | Supporting Data Mining of Large Databases by Visual Feedback Queries. | Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl |