Visual Feedback in Querying Large Databases. - Daniel A. Keim; Hans-Peter Kriegel; Thomas Seidl 001 (IEEE Visualization, 1993)

Supporting Data Mining of Large Databases by Visual Feedback Queries. - Daniel A. Keim; Hans-Peter Kriegel; Thomas Seidl 001 (ICDE, 1994)

Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. - Martin Ester; Hans-Peter Kriegel; Thomas Seidl 001; Xiaowei Xu 001 (BTW, 1995)

Solvent Accessible Surface Representation in a Database System for Protein Docking. - Thomas Seidl 001; Hans-Peter Kriegel (ISMB, 1995)

A 3D Molecular Surface Representation Supporting Neighborhood Queries. - Thomas Seidl 001; Hans-Peter Kriegel (SSD, 1995)

3D Similarity Search by Shape Approximation. - Hans-Peter Kriegel; Thomas Schmidt; Thomas Seidl 001 (SSD, 1997)

Efficient User-Adaptable Similarity Search in Large Multimedia Databases. - Thomas Seidl 001; Hans-Peter Kriegel (VLDB, 1997)

Similarity Search in 3D Protein Databases. - Thomas Seidl 001; Gabi Kastenmüller; Hans-Peter Kriegel (German Conference on Bioinformatics, 1998)

Fast Nearest Neighbor Search in High-Dimensional Space. - Stefan Berchtold; Bernhard Ertl; Daniel A. Keim; Hans-Peter Kriegel; Thomas Seidl 001 (ICDE, 1998)

Optimal Multi-Step k-Nearest Neighbor Search. - Thomas Seidl 001; Hans-Peter Kriegel (SIGMOD Conference, 1998)

Improving Adaptable Similarity Query Processing by Using Approximations. - Mihael Ankerst; Bernhard Braunmüller; Hans-Peter Kriegel; Thomas Seidl 001 (VLDB, 1998)

Approximation-Based Similarity Search for 3-D Surface Segments. - Hans-Peter Kriegel; Thomas Seidl 001 (GeoInformatica, 1998)

Adaptable Similarity Search in 3-D Spatial Database Systems (Abstract). - Thomas Seidl 001 (Datenbank Rundbr., 1998)

A Multistep Approach for Shape Similarity Search in Image Databases. - Mihael Ankerst; Hans-Peter Kriegel; Thomas Seidl 001 (IEEE Trans. Knowl. Data Eng., 1998)

Adaptable similarity search in 3-D spatial database systems. - Thomas Seidl 001 (Utz, 1998)

Adaptable Similarity Search in Large Image Databases. - Thomas Seidl 001; Hans-Peter Kriegel (State-of-the-Art in Content-Based Image and Video Retrieval, 1999)

Nearest Neighbor Classification in 3D Protein Databases. - Mihael Ankerst; Gabi Kastenmüller; Hans-Peter Kriegel; Thomas Seidl 001 (ISMB, 1999)

3D Shape Histograms for Similarity Search and Classification in Spatial Databases. - Mihael Ankerst; Gabi Kastenmüller; Hans-Peter Kriegel; Thomas Seidl 001 (SSD, 1999)

Bioinformatik - Aktuelles Schlagwort. - Rolf Backofen; François Bry; Peter Clote; Hans-Peter Kriegel; Thomas Seidl 001; Klaus U. Schulz (Inform. Spektrum, 1999)

Managing Intervals Efficiently in Object-Relational Databases. - Hans-Peter Kriegel; Marco Pötke; Thomas Seidl 001 (VLDB, 2000)

Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space. - Stefan Berchtold; Daniel A. Keim; Hans-Peter Kriegel; Thomas Seidl 001 (IEEE Trans. Knowl. Data Eng., 2000)

Adaptable Similarity Search Using Vector Quantization. - Christian Böhm 001; Hans-Peter Kriegel; Thomas Seidl 001 (DaWaK, 2001)

DIVE: Database Integration for Virtual Engineering. - Hans-Peter Kriegel; Andreas Müller 006; Marco Pötke; Thomas Seidl 001 (ICDE Demo Sessions, 2001)

Spatial Data Management for Computer Aided Design. - Hans-Peter Kriegel; Andreas Müller 006; Marco Pötke; Thomas Seidl 001 (SIGMOD Conference, 2001)

Interval Sequences: An Object-Relational Approach to Manage Spatial Data. - Hans-Peter Kriegel; Marco Pötke; Thomas Seidl 001 (SSTD, 2001)

Object-Relational Indexing for General Interval Relationships. - Hans-Peter Kriegel; Marco Pötke; Thomas Seidl 001 (SSTD, 2001)

A Cost Model for Interval Intersection Queries on RI-Trees. - Hans-Peter Kriegel; Martin Pfeifle; Marco Pötke; Thomas Seidl 001 (SSDBM, 2002)

Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search. - Christian Böhm 001; Hans-Peter Kriegel; Thomas Seidl 001 (J. Intell. Inf. Syst., 2002)

Spatial Data Management for Virtual Product Development. - Hans-Peter Kriegel; Martin Pfeifle; Marco Pötke; Matthias Renz; Thomas Seidl 001 (Computer Science in Perspective, 2003)

The Paradigm of Relational Indexing: a Survey. - Hans-Peter Kriegel; Martin Pfeifle; Marco Pötke; Thomas Seidl 001 (BTW, 2003)

Effective Similarity Search on Voxelized CAD Object. - Hans-Peter Kriegel; Peer Kröger; Zahi Mashael; Martin Pfeifle; Marco Pötke; Thomas Seidl 001 (DASFAA, 2003)

Spatial Query Processing for High Resolutions. - Hans-Peter Kriegel; Martin Pfeifle; Marco Pötke; Thomas Seidl 001 (DASFAA, 2003)

CVDB 2004 Panel: Future Applications and Solutions. - M. Tamer Özsu; Jean Carrive; Sébastien Gilles; Izabela Grasland; Roger Mohr; Thomas Seidl 001 (CVDB, 2004)

Nearest Neighbor Search on Multimedia Indexing Structures. - Thomas Seidl 001 (CVDB, 2004)

A Cost Model for Spatial Intersection Queries on RI-Trees. - Hans-Peter Kriegel; Martin Pfeifle; Marco Pötke; Thomas Seidl 001 (DASFAA, 2004)

Efficient Similarity Search for Hierarchical Data in Large Databases. - Karin Kailing; Hans-Peter Kriegel; Stefan Schönauer; Thomas Seidl 001 (EDBT, 2004)

Efficient Similarity Search in Large Databases of Tree Structured Objects. - Karin Kailing; Hans-Peter Kriegel; Stefan Schönauer; Thomas Seidl 001 (ICDE, 2004)

Joining Interval Data in Relational Databases. - Jost Enderle; Matthias Hampel; Thomas Seidl 001 (SIGMOD Conference, 2004)

Object-Relational Spatial Indexing. - Hans-Peter Kriegel; Martin Pfeifle; Marco Pötke; Thomas Seidl 001; Jost Enderle (Spatial Databases, 2005)

Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server. - Christoph Brochhaus; Jost Enderle; Achim Schlosser; Thomas Seidl 001; Knut Stolze (BTW, 2005)

Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme. - Thomas Martin Lehmann; Daniel Beier; Christian Thies; Thomas Seidl 001 (Image Processing, 2005)

Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases. - Jost Enderle; Nicole Schneider; Thomas Seidl 001 (VLDB, 2005)

Efficient interval management using object-relational database servers. - Christoph Brochhaus; Jost Enderle; Achim Schlosser; Thomas Seidl 001; Knut Stolze (Inform. Forsch. Entwickl., 2005)

Efficient multi-step query processing for EMD-based similarity. - Ira Assent; Thomas Seidl 001 (Content-Based Retrieval, 2006)

Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search. - Christoph Brochhaus; Marc Wichterich; Thomas Seidl 001 (EDBT, 2006)

Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. - Ira Assent; Andrea Wenning; Thomas Seidl 001 (ICDE, 2006)

Spatial Multidimensional Sequence Clustering. - Ira Assent; Ralph Krieger; Boris Glavic; Thomas Seidl 001 (ICDM Workshops, 2006)

A classification framework for content-based extraction of biomedical objects from hierarchically decomposed images. - Christian Thies; Marcel Schmidt-Borreda; Thomas Seidl 001; Thomas Martin Lehmann (Image Processing, 2006)

Adaptable Distance Functions for Similarity-based Multimedia Retrieval. - Ira Assent; Marc Wichterich; Thomas Seidl 001 (Datenbank-Spektrum, 2006)

Subspace outlier mining in large multimedia databases. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (Parallel Universes and Local Patterns, 2007)

AttentionAttractor: efficient video stream similarity query processing in real time. - Ira Assent; Ralph Krieger; Thomas Seidl 001 (ICDE, 2007)

DUSC: Dimensionality Unbiased Subspace Clustering. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (ICDM, 2007)

Efficient Index Support for View-Dependent Queries on CFD Data. - Christoph Brochhaus; Thomas Seidl 001 (SSTD, 2007)

IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing. - Christoph Brochhaus; Thomas Seidl 001 (VLDB, 2007)

Clicks: An effective algorithm for mining subspace clusters in categorical datasets. - Mohammed J. Zaki; Markus Peters; Ira Assent; Thomas Seidl 001 (Data Knowl. Eng., 2007)

VISA: visual subspace clustering analysis. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (SIGKDD Explor., 2007)

EDSC: efficient density-based subspace clustering. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (CIKM, 2008)

Outlier detection and ranking based on subspace clustering. - Thomas Seidl 001; Emmanuel Müller; Ira Assent; Uwe Steinhausen (Uncertainty Management in Information Systems, 2008)

The TS-tree: efficient time series search and retrieval. - Ira Assent; Ralph Krieger; Farzad Afschari; Thomas Seidl 001 (EDBT, 2008)

Efficient similarity search using the Earth Mover's Distance for large multimedia databases. - Ira Assent; Marc Wichterich; Tobias Meisen; Thomas Seidl 001 (ICDE, 2008)

OutRank: ranking outliers in high dimensional data. - Emmanuel Müller; Ira Assent; Uwe Steinhausen; Thomas Seidl 001 (ICDE Workshops, 2008)

Ranking multimedia databases via relevance feedback with history and foresight support. - Marc Wichterich; Christian Beecks; Thomas Seidl 001 (ICDE Workshops, 2008)

INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. - Ira Assent; Ralph Krieger; Emmanuel Müller; Thomas Seidl 001 (ICDM, 2008)

Morpheus: interactive exploration of subspace clustering. - Emmanuel Müller; Ira Assent; Ralph Krieger; Timm Jansen; Thomas Seidl 001 (KDD, 2008)

Mobile Mining and Information Management in HealthNet Scenarios. - Philipp Kranen; David Kensche; Saim Kim; Nadine Zimmermann; Emmanuel Müller; Christoph Quix; Xiang Li 002; Thomas Gries; Thomas Seidl 001; Matthias Jarke; Steffen Leonhardt (MDM, 2008)

SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. - Ira Assent; Ralph Krieger; Petra Welter; Jörg Herbers; Thomas Seidl 001 (PAKDD, 2008)

Pleiades: Subspace Clustering and Evaluation. - Ira Assent; Emmanuel Müller; Ralph Krieger; Timm Jansen; Thomas Seidl 001 (ECML/PKDD (2), 2008)

Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. - Marc Wichterich; Ira Assent; Philipp Kranen; Thomas Seidl 001 (SIGMOD Conference, 2008)

IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS. - Christoph Brochhaus; Thomas Seidl 001 (SSDBM, 2008)

Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation. - David Ruau; Corinna Kolárik; Heinz-Theodor Mevissen; Emmanuel Müller; Ira Assent; Ralph Krieger; Thomas Seidl 001; Martin Hofmann-Apitius; Martin Zenke (BMC Bioinform., 2008)

Extended Query Refinement for Medical Image Retrieval. - Thomas Martin Deserno; Mark Oliver Güld; Bartosz Plodowski; Klaus Spitzer 001; Berthold B. Wein; Henning Schubert; Hermann Ney; Thomas Seidl 001 (J. Digit. Imaging, 2008)

Clustering multidimensional sequences in spatial and temporal databases. - Ira Assent; Ralph Krieger; Boris Glavic; Thomas Seidl 001 (Knowl. Inf. Syst., 2008)

Binäre Suche. - Thomas Seidl 001; Jost Enderle (Taschenbuch der Algorithmen, 2008)

Relevance Feedback for the Earth Mover's Distance. - Marc Wichterich; Christian Beecks; Martin Sundermeyer; Thomas Seidl 001 (Adaptive Multimedia Retrieval, 2009)

High-Dimensional Indexing for Multimedia Features. - Ira Assent; Stephan Günnemann; Hardy Kremer; Thomas Seidl 001 (BTW, 2009)

Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken. - Christian Beecks; Marc Wichterich; Thomas Seidl 001 (BTW, 2009)

Detection of orthogonal concepts in subspaces of high dimensional data. - Stephan Günnemann; Emmanuel Müller; Ines Färber; Thomas Seidl 001 (CIKM, 2009)

Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. - Marc Wichterich; Christian Beecks; Martin Sundermeyer; Thomas Seidl 001 (CIKM, 2009)

Type-based categorization of relational attributes. - Babak Ahmadi; Marios Hadjieleftheriou; Thomas Seidl 001; Divesh Srivastava; Suresh Venkatasubramanian (EDBT, 2009)

Indexing density models for incremental learning and anytime classification on data streams. - Thomas Seidl 001; Ira Assent; Philipp Kranen; Ralph Krieger; Jennifer Herrmann (EDBT, 2009)

Self-Adaptive Anytime Stream Clustering. - Philipp Kranen; Ira Assent; Corinna Baldauf; Thomas Seidl 001 (ICDM, 2009)

Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Ralph Krieger; Thomas Seidl 001 (ICDM, 2009)

EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. - Marwan Hassani; Emmanuel Müller; Thomas Seidl 001 (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Signature quadratic form distances for content-based similarity. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (ACM Multimedia, 2009)

DensEst: Density Estimation for Data Mining in High Dimensional Spaces. - Emmanuel Müller; Ira Assent; Ralph Krieger; Stephan Günnemann; Thomas Seidl 001 (SDM, 2009)

HSM: Heterogeneous Subspace Mining in High Dimensional Data. - Emmanuel Müller; Ira Assent; Thomas Seidl 001 (SSDBM, 2009)

Using Index Structures for Anytime Stream Mining. - Philipp Kranen; Thomas Seidl 001 (VLDB PhD Workshop, 2009)

Harnessing the strengths of anytime algorithms for constant data streams. - Philipp Kranen; Thomas Seidl 001 (Data Min. Knowl. Discov., 2009)

SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces. - Matthias Schiffer; Emmanuel Müller; Thomas Seidl 001 (Datenbank-Spektrum, 2009)

Anticipatory DTW for Efficient Similarity Search in Time Series Databases. - Ira Assent; Marc Wichterich; Ralph Krieger; Hardy Kremer; Thomas Seidl 001 (Proc. VLDB Endow., 2009)

Evaluating Clustering in Subspace Projections of High Dimensional Data. - Emmanuel Müller; Stephan Günnemann; Ira Assent; Thomas Seidl 001 (Proc. VLDB Endow., 2009)

Nearest Neighbor Classification. - Thomas Seidl 001 (Encyclopedia of Database Systems, 2009)

Adaptive outlierness for subspace outlier ranking. - Emmanuel Müller; Matthias Schiffer; Thomas Seidl 001 (CIKM, 2010)

Signature Quadratic Form Distance. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (CIVR, 2010)

Speeding Up Complex Video Copy Detection Queries. - Ira Assent; Hardy Kremer; Thomas Seidl 001 (DASFAA (1), 2010)

Air-Indexing on Error Prone Communication Channels. - Emmanuel Müller; Philipp Kranen; Michael Nett; Felix Reidl; Thomas Seidl 001 (DASFAA (1), 2010)

Pattern detector: fast detection of suspicious stream patterns for immediate reaction. - Ira Assent; Hardy Kremer; Stephan Günnemann; Thomas Seidl 001 (EDBT, 2010)

Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (ICDE Workshops, 2010)

Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. - Stephan Günnemann; Ines Färber; Brigitte Boden; Thomas Seidl 001 (ICDM, 2010)

MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. - Stephan Günnemann; Hardy Kremer; Ines Färber; Thomas Seidl 001 (ICDM Workshops, 2010)

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. - Philipp Kranen; Hardy Kremer; Timm Jansen; Thomas Seidl 001; Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer (ICDM Workshops, 2010)

Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques. - Hardy Kremer; Stephan Günnemann; Thomas Seidl 001 (ICDM Workshops, 2010)

Visual speaker model exploration. - Christian Beecks; Thilo Stadelmann; Bernd Freisleben; Thomas Seidl 001 (ICME, 2010)

A comparative study of similarity measures for content-based multimedia retrieval. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (ICME, 2010)

Improving the Efficiency of Content-Based Multimedia Exploration. - Christian Beecks; Sascha Wiedenfeld; Thomas Seidl 001 (ICPR, 2010)

Detecting outliers on arbitrary data streams using anytime approaches. - Ira Assent; Philipp Kranen; Corinna Baldauf; Thomas Seidl 001 (StreamKDD@KDD, 2010)

Index support for content-based multimedia exploration. - Christian Beecks; Philip Driessen; Thomas Seidl 001 (ACM Multimedia, 2010)

Subgraph Mining on Directed and Weighted Graphs. - Stephan Günnemann; Thomas Seidl 001 (PAKDD (2), 2010)

Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. - Philipp Kranen; Ralph Krieger; Stefan Denker; Thomas Seidl 001 (PAKDD (2), 2010)

SOREX: Subspace Outlier Ranking Exploration Toolkit. - Emmanuel Müller; Matthias Schiffer; Patrick Gerwert; Matthias Hannen; Timm Jansen; Thomas Seidl 001 (ECML/PKDD (3), 2010)

Subspace Clustering for Uncertain Data. - Stephan Günnemann; Hardy Kremer; Thomas Seidl 001 (SDM, 2010)

Similarity matrix compression for efficient signature quadratic form distance computation. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (SISAP, 2010)

MC-Tree: Improving Bayesian Anytime Classification. - Philipp Kranen; Stephan Günnemann; Sergej Fries; Thomas Seidl 001 (SSDBM, 2010)

MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. - Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer; Philipp Kranen; Hardy Kremer; Timm Jansen; Thomas Seidl 001 (WAPA, 2010)

CoDA: Interactive Cluster Based Concept Discovery. - Stephan Günnemann; Ines Färber; Hardy Kremer; Thomas Seidl 001 (Proc. VLDB Endow., 2010)

Binary Search. - Thomas Seidl 001; Jost Enderle (Algorithms Unplugged, 2011)

Efficient Database Techniques for Identification with Fuzzy Vault Templates. - Christian Böhm 001; Ines Färber; Sergej Fries; Ulrike Korte; Johannes Merkle; Annahita Oswald; Thomas Seidl 001; Bianca Wackersreuther; Peter Wackersreuther (BIOSIG, 2011)

Filtertechniken für geschützte biometrische Datenbanken. - Christian Böhm 001; Ines Färber; Sergej Fries; Ulrike Korte; Johannes Merkle; Annahita Oswald; Thomas Seidl 001; Bianca Wackersreuther; Peter Wackersreuther (BTW, 2011)

A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Patrick Gerwert; Matthias Hannen; Timm Jansen; Thomas Seidl 001 (BTW, 2011)

Feature-Based Graph Similarity with Co-Occurrence Histograms and the Earth Mover's Distance. - Marc Wichterich; Anca Maria Ivanescu; Thomas Seidl 001 (BTW, 2011)

A hybrid control approach for low temperature combustion engine control. - Thivaharan Albin; Peter Drews; Frank J. Hesseler; Anca Maria Ivanescu; Thomas Seidl 001; Dirk Abel (CDC/ECC, 2011)

External evaluation measures for subspace clustering. - Stephan Günnemann; Ines Färber; Emmanuel Müller; Ira Assent; Thomas Seidl 001 (CIKM, 2011)

Processing the signature quadratic form distance on many-core GPU architectures. - Martin Krulis; Jakub Lokoc; Christian Beecks; Tomás Skopal; Thomas Seidl 001 (CIKM, 2011)

Scalable density-based subspace clustering. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Thomas Seidl 001 (CIKM, 2011)

Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations. - Stephan Günnemann; Hardy Kremer; Dominik Lenhard; Thomas Seidl 001 (EDBT, 2011)

Preserving privacy of moving objects via temporal clustering of spatio-temporal data streams. - Roland Assam; Thomas Seidl 001 (SPRINGL, 2011)

Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance. - Christian Beecks; Anca Maria Ivanescu; Steffen Kirchhoff; Thomas Seidl 001 (ICCV, 2011)

Statistical selection of relevant subspace projections for outlier ranking. - Emmanuel Müller; Matthias Schiffer; Thomas Seidl 001 (ICDE, 2011)

Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. - Stephan Günnemann; Emmanuel Müller; Sebastian Raubach; Thomas Seidl 001 (ICDM, 2011)

Analyzing the inner workings of the Signature Quadratic Form Distance. - Christian Beecks; Thomas Seidl 001 (ICME, 2011)

An effective evaluation measure for clustering on evolving data streams. - Hardy Kremer; Philipp Kranen; Timm Jansen; Thomas Seidl 001; Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer (KDD, 2011)

Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time. - Marwan Hassani; Philipp Kranen; Thomas Seidl 001 (LWA, 2011)

Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams. - Marwan Hassani; Thomas Seidl 001 (Mobile Data Management (2), 2011)

Indexing the signature quadratic form distance for efficient content-based multimedia retrieval. - Christian Beecks; Jakub Lokoc; Thomas Seidl 001; Tomás Skopal (ICMR, 2011)

Modeling multimedia contents through probabilistic feature signatures. - Christian Beecks; Anca Maria Ivanescu; Steffen Kirchhoff; Thomas Seidl 001 (ACM Multimedia, 2011)

Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. - Christian Beecks; Ira Assent; Thomas Seidl 001 (MMM (1), 2011)

L2-Signature Quadratic Form Distance for Efficient Query Processing in Very Large Multimedia Databases. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (MMM (1), 2011)

Tracing Evolving Clusters by Subspace and Value Similarity. - Stephan Günnemann; Hardy Kremer; Charlotte Laufkötter; Thomas Seidl 001 (PAKDD (2), 2011)

ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information. - Anca Maria Ivanescu; Marc Wichterich; Thomas Seidl 001 (PAKDD Workshops, 2011)

MOA: A Real-Time Analytics Open Source Framework. - Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer; Jesse Read; Philipp Kranen; Hardy Kremer; Timm Jansen; Thomas Seidl 001 (ECML/PKDD (3), 2011)

DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors. - Stephan Günnemann; Brigitte Boden; Thomas Seidl 001 (ECML/PKDD (1), 2011)

Applying similarity search for the investigation of the fuel injection process. - Christian Beecks; Anca Maria Ivanescu; Thomas Seidl 001; Diana Martin; Philipp Pischke; Reinhold Kneer (SISAP, 2011)

Parameterized earth mover's distance for efficient metric space indexing. - Jakub Lokoc; Christian Beecks; Thomas Seidl 001; Tomás Skopal (SISAP, 2011)

Hierarchical Clustering for Real-Time Stream Data with Noise. - Philipp Kranen; Felix Reidl; Fernando Sánchez Villaamil; Thomas Seidl 001 (SSDBM, 2011)

Efficient Processing of Multiple DTW Queries in Time Series Databases. - Hardy Kremer; Stephan Günnemann; Anca Maria Ivanescu; Ira Assent; Thomas Seidl 001 (SSDBM, 2011)

Biometric Template Protection - Ein Bericht über das Projekt BioKeyS. - Christoph Busch 001; Ulrike Korte; Sebastian Abt; Christian Böhm 001; Ines Färber; Sergej Fries; Johannes Merkle; Claudia Nickel; Alexander Nouak; Alexander Opel; Annahita Oswald; Thomas Seidl 001; et al. (Datenschutz und Datensicherheit, 2011)

Special section on spatial and temporal databases. - Nikos Mamoulis; Thomas Seidl 001 (GeoInformatica, 2011)

The ClusTree: indexing micro-clusters for anytime stream mining. - Philipp Kranen; Ira Assent; Corinna Baldauf; Thomas Seidl 001 (Knowl. Inf. Syst., 2011)

Tracing clusters in evolving graphs with node attributes. - Brigitte Boden; Stephan Günnemann; Thomas Seidl 001 (CIKM, 2012)

A tool for automated evaluation of algorithms. - Philipp Kranen; Stephan Wels; Tim Rohlfs; Sebastian Raubach; Thomas Seidl 001 (CIKM, 2012)

AnyOut: Anytime Outlier Detection on Streaming Data. - Ira Assent; Philipp Kranen; Corinna Baldauf; Thomas Seidl 001 (DASFAA (1), 2012)

PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction. - Anca Maria Ivanescu; Philipp Kranen; Manfred Smieschek; Philip Driessen; Thomas Seidl 001 (DASFAA (2), 2012)

Stream Data Mining Using the MOA Framework. - Philipp Kranen; Hardy Kremer; Timm Jansen; Thomas Seidl 001; Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer; Jesse Read (DASFAA (2), 2012)

TMC-pattern: holistic trajectory extraction, modeling and mining. - Roland Assam; Thomas Seidl 001 (BigSpatial@SIGSPATIAL, 2012)

Differential private trajectory protection of moving objects. - Roland Assam; Marwan Hassani; Thomas Seidl 001 (IWGS@SIGSPATIAL/GIS, 2012)

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. - Emmanuel Müller; Stephan Günnemann; Ines Färber; Thomas Seidl 001 (ICDE, 2012)

A Subspace Clustering Extension for the KNIME Data Mining Framework. - Stephan Günnemann; Hardy Kremer; Richard Musiol; Roman Haag; Thomas Seidl 001 (ICDM Workshops, 2012)

Employing the Principal Hessian Direction for Building Hinging Hyperplane Models. - Anca Maria Ivanescu; Thivaharan Albin; Dirk Abel; Thomas Seidl 001 (ICDM Workshops, 2012)

Effective and Robust Mining of Temporal Subspace Clusters. - Hardy Kremer; Stephan Günnemann; Arne Held; Thomas Seidl 001 (ICDM, 2012)

Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. - Andrada Tatu; Fabian Maass; Ines Färber; Enrico Bertini; Tobias Schreck; Thomas Seidl 001; Daniel A. Keim (IEEE VAST, 2012)

Mining coherent subgraphs in multi-layer graphs with edge labels. - Brigitte Boden; Stephan Günnemann; Holger Hoffmann; Thomas Seidl 001 (KDD, 2012)

Multi-view clustering using mixture models in subspace projections. - Stephan Günnemann; Ines Färber; Thomas Seidl 001 (KDD, 2012)

Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. - Stephan Günnemann; Ines Färber; Kittipat Virochsiri; Thomas Seidl 001 (KDD, 2012)

On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval. - Christian Beecks; Thomas Seidl 001 (MMM, 2012)

Differential Private Trajectory Obfuscation. - Roland Assam; Marwan Hassani; Thomas Seidl 001 (MobiQuitous, 2012)

Resource-Aware Distributed Clustering of Drifting Sensor Data Streams. - Marwan Hassani; Thomas Seidl 001 (NDT (1), 2012)

Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. - Hardy Kremer; Stephan Günnemann; Arne Held; Thomas Seidl 001 (PAKDD (1), 2012)

CC-MR - Finding Connected Components in Huge Graphs with MapReduce. - Thomas Seidl 001; Brigitte Boden; Sergej Fries (ECML/PKDD (1), 2012)

Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types. - Stephan Günnemann; Brigitte Boden; Thomas Seidl 001 (SSDBM, 2012)

Hinging Hyperplane Models for Multiple Predicted Variables. - Anca Maria Ivanescu; Philipp Kranen; Thomas Seidl 001 (SSDBM, 2012)

BT* - An Advanced Algorithm for Anytime Classification. - Philipp Kranen; Marwan Hassani; Thomas Seidl 001 (SSDBM, 2012)

Density-Based Projected Clustering of Data Streams. - Marwan Hassani; Pascal Spaus; Mohamed Medhat Gaber; Thomas Seidl 001 (SUM, 2012)

Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). - Daniel A. Keim; Fabrice Rossi; Thomas Seidl 001; Michel Verleysen; Stefan Wrobel (Dagstuhl Reports, 2012)

Finding density-based subspace clusters in graphs with feature vectors. - Stephan Günnemann; Brigitte Boden; Thomas Seidl 001 (Data Min. Knowl. Discov., 2012)

Tracing Evolving Subspace Clusters in Temporal Climate Data. - Stephan Günnemann; Hardy Kremer; Charlotte Laufkötter; Thomas Seidl 001 (Data Min. Knowl. Discov., 2012)

An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. - Philipp Kranen; Ira Assent; Thomas Seidl 001 (Datenbank-Spektrum, 2012)

The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities. - Anca Maria Ivanescu; Marc Wichterich; Christian Beecks; Thomas Seidl 001 (Frontiers Comput. Sci., 2012)

Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise. - Marwan Hassani; Thomas Seidl 001 (J. Digit. Inf. Manag., 2012)

MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. - Thomas Seidl 001; Sergej Fries; Brigitte Boden (BTW, 2013)

Content-based exploration of multimedia databases. - Christian Beecks; Merih Seran Uysal; Philip Driessen; Thomas Seidl 001 (CBMI, 2013)

Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform. - Brigitte Boden; Roman Haag; Thomas Seidl 001 (CIKM, 2013)

Subspace MOA: Subspace Stream Clustering Evaluation Using the MOA Framework. - Marwan Hassani; Yunsu Kim 001; Thomas Seidl 001 (DASFAA (2), 2013)

Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data. - Ayman Tarakji; Marwan Hassani; Stefan Lankes; Thomas Seidl 001 (ICCSA (5), 2013)

Spectral Subspace Clustering for Graphs with Feature Vectors. - Stephan Günnemann; Ines Färber; Sebastian Raubach; Thomas Seidl 001 (ICDM, 2013)

An Evaluation Framework for Temporal Subspace Clustering Approaches. - Hardy Kremer; Stephan Günnemann; Arne Held; Thomas Seidl 001 (ICDM Workshops, 2013)

Adaptive Model Tree for Streaming Data. - Anca Maria Zimmer; Michael Kurze; Thomas Seidl 001 (ICDM, 2013)

HealthNet: A System for Mobile and Wearable Health Information Management. - Christoph Quix; Johannes Barnickel; Sandra Geisler; Marwan Hassani; Saim Kim; Xiang Li 002; Andreas Lorenz; Till Quadflieg; Thomas Gries; Matthias Jarke; Steffen Leonhardt; Ulrike Meyer; et al. (IMMoA, 2013)

Bone age assessment using support vector regression with smart class mapping. - Daniel Haak; Jing Yu; Hendrik Simon; Hauke Schramm; Thomas Seidl 001; Thomas M. Deserno (Computer-Aided Diagnosis, 2013)

Signature matching distance for content-based image retrieval. - Christian Beecks; Steffen Kirchhoff; Thomas Seidl 001 (ICMR, 2013)

Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. - Stephan Günnemann; Brigitte Boden; Ines Färber; Thomas Seidl 001 (PAKDD (1), 2013)

Effective Evaluation Measures for Subspace Clustering of Data Streams. - Marwan Hassani; Yunsu Kim 001; Seungjin Choi; Thomas Seidl 001 (PAKDD Workshops, 2013)

RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs. - Brigitte Boden; Stephan Günnemann; Holger Hoffmann; Thomas Seidl 001 (SSDBM, 2013)

Nesting the earth mover's distance for effective cluster tracing. - Hardy Kremer; Stephan Günnemann; Simon Wollwage; Thomas Seidl 001 (SSDBM, 2013)

A Model for Context-Aware Location Identity Preservation Using Differential Privacy. - Roland Assam; Thomas Seidl 001 (TrustCom/ISPA/IUCC, 2013)

BodyGuards: A Clairvoyant Location Predictor Using Frequent Neighbors and Markov Model. - Roland Assam; Thomas Seidl 001 (UIC/ATC, 2013)

Private Map Matching: Realistic Private Route Cognition on Road Networks. - Roland Assam; Thomas Seidl 001 (UIC/ATC, 2013)

Datenmanagement und -exploration an der RWTH Aachen. - Thomas Seidl 001 (Datenbank-Spektrum, 2013)

Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment. - Markus Harmsen; Benedikt Fischer; Hauke Schramm; Thomas Seidl 001; Thomas Martin Deserno (IEEE J. Biomed. Health Informatics, 2013)

Towards Named-Entity-based Similarity Measures: Challenges and Opportunities. - Tom De Nies; Christian Beecks; Wesley De Neve; Thomas Seidl 001; Erik Mannens; Rik Van de Walle (ESAIR, 2014)

On Efficient Query Processing with the Earth Mover's Distance. - Merih Seran Uysal; Christian Beecks; Thomas Seidl 001 (PIKM@CIKM, 2014)

Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures. - Merih Seran Uysal; Christian Beecks; Jochen Schmücking; Thomas Seidl 001 (CIKM, 2014)

Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering. - Marwan Hassani; Thomas Seidl 001 (DASFAA Workshops, 2014)

Projected Clustering for Huge Data Sets in MapReduce. - Sergej Fries; Stephan Wels; Thomas Seidl 001 (EDBT, 2014)

The Normalized Freebase Distance. - Fréderic Godin; Tom De Nies; Christian Beecks; Laurens De Vocht; Wesley De Neve; Erik Mannens; Thomas Seidl 001; Rik Van de Walle (ESWC (Satellite Events), 2014)

Prediction of freezing of gait from Parkinson's Disease movement time series using conditional random fields. - Roland Assam; Thomas Seidl 001 (HealthGIS, 2014)

PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce. - Sergej Fries; Brigitte Boden; Grzegorz Stepien; Thomas Seidl 001 (ICDE, 2014)

Check-in Location Prediction Using Wavelets and Conditional Random Fields. - Roland Assam; Thomas Seidl 001 (ICDM, 2014)

SMVC: semi-supervised multi-view clustering in subspace projections. - Stephan Günnemann; Ines Färber; Matthias Sebastian Rüdiger; Thomas Seidl 001 (KDD, 2014)

On the Stability of Signature-Based Distance Functions for Content-Based Image Retrieval. - Christian Beecks; Steffen Kirchhoff; Thomas Seidl 001 (LWA, 2014)

Adaptive Multiple-Resolution Stream Clustering. - Marwan Hassani; Pascal Spaus; Thomas Seidl 001 (MLDM, 2014)

Effective Map Matching Using Curve Tangents and Hidden Markov Model. - Roland Assam; Thomas Seidl 001 (MSN, 2014)

Context-based location clustering and prediction using conditional random fields. - Roland Assam; Thomas Seidl 001 (MUM, 2014)

Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System. - Marwan Hassani; Ayman Tarakji; Lyubomir Georgiev; Thomas Seidl 001 (PAKDD Workshops, 2014)

Density-Based Subspace Clustering in Heterogeneous Networks. - Brigitte Boden; Martin Ester; Thomas Seidl 001 (ECML/PKDD (1), 2014)

(k, d)-core anonymity: structural anonymization of massive networks. - Roland Assam; Marwan Hassani; Michael Brysch; Thomas Seidl 001 (SSDBM, 2014)

Subspace anytime stream clustering. - Marwan Hassani; Philipp Kranen; Rajveer Saini; Thomas Seidl 001 (SSDBM, 2014)

Inverse predictions on continuous models in scientific databases. - Anca Maria Zimmer; Philip Driessen; Philipp Kranen; Thomas Seidl 001 (SSDBM, 2014)

Near-Optimal Activity Prediction through Efficient Wavelet Modulus Maxima Partitioning and Conditional Random Fields. - Roland Assam; Thomas Seidl 001 (UIC/ATC/ScalCom, 2014)

Activity recognition from sensors using dyadic wavelets and Hidden Markov Model. - Roland Assam; Thomas Seidl 001 (WiMob, 2014)

KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks. - Stephan Günnemann; Hardy Kremer; Matthias Hannen; Thomas Seidl 001 (CoRR, 2014)

GAMer: a synthesis of subspace clustering and dense subgraph mining. - Stephan Günnemann; Ines Färber; Brigitte Boden; Thomas Seidl 001 (Knowl. Inf. Syst., 2014)

On stability of signature-based similarity measures for content-based image retrieval. - Christian Beecks; Steffen Kirchhoff; Thomas Seidl 001 (Multim. Tools Appl., 2014)

Machining Intelligence Network: Data Mining and Semantic Search in Manufacturing Industry. - Ines Färber; Sergej Fries; Götz Marczinski; Thomas Seidl 001; Nils-Per Steinmann (Towards the Internet of Services, 2014)

Parallel Density-Based Stream Clustering Using a Multi-user GPU Scheduler. - Ayman Tarakji; Marwan Hassani; Lyubomir Georgiev; Thomas Seidl 001; Rainer Leupers (BDAS, 2015)

Gradient-based signatures for big multimedia data. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (IEEE BigData, 2015)

Sequential Pattern Mining of Multimodal Streams in the Humanities. - Marwan Hassani; Christian Beecks; Daniel Töws; Tatiana Serbina; Max Haberstroh; Paula Niemietz; Sabina Jeschke; Stella Neumann; Thomas Seidl 001 (BTW, 2015)

Big Data-Zentren - Vorstellung und Panel. - Volker Markl; Erhard Rahm; Wolfgang Lehner; Michael Beigl; Thomas Seidl 001 (BTW, 2015)

Optimizing Sequential Pattern Mining Within Multiple Streams. - Daniel Töws; Marwan Hassani; Christian Beecks; Thomas Seidl 001 (BTW Workshops, 2015)

On efficient content-based near-duplicate video detection. - Merih Seran Uysal; Christian Beecks; Thomas Seidl 001 (CBMI, 2015)

Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases. - Christian Beecks; Merih Seran Uysal; Judith Hermanns; Thomas Seidl 001 (CIKM, 2015)

Large-scale Efficient and Effective Video Similarity Search. - Merih Seran Uysal; Christian Beecks; Daniel Sabinasz; Thomas Seidl 001 (LSDS-IR@CIKM, 2015)

Improving Semantic Relatedness in Paths for Storytelling with Linked Data on the Web. - Laurens De Vocht; Christian Beecks; Ruben Verborgh; Thomas Seidl 001; Erik Mannens; Rik Van de Walle (ESWC (Satellite Events), 2015)

Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases. - Christian Beecks; Marwan Hassani; Florian Obeloer; Thomas Seidl 001 (ICDM Workshops, 2015)

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 001 (ISM, 2015)

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 001 (ISM, 2015)

Earth Mover's Distance vs. Quadratic form Distance: An Analytical and Empirical Comparison. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (ISM, 2015)

Effective Content-Based Near-Duplicate Video Detection. - Merih Seran Uysal; Christian Beecks; Daniel Sabinasz; Thomas Seidl 001 (ISM, 2015)

Adaptive Stream Clustering Using Incremental Graph Maintenance. - Marwan Hassani; Pascal Spaus; Alfredo Cuzzocrea; Thomas Seidl 001 (BigMine, 2015)

Mining Sequential Patterns of Event Streams in a Smart Home Application. - Marwan Hassani; Christian Beecks; Daniel Töws; Thomas Seidl 001 (LWA, 2015)

Content-Based Image Retrieval with Gaussian Mixture Models. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (MMM (1), 2015)

Internal Clustering Evaluation of Data Streams. - Marwan Hassani; Thomas Seidl 001 (PAKDD Workshops, 2015)

UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN. - Roland Assam; Simon Feiden; Thomas Seidl 001 (ECML/PKDD (3), 2015)

Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. - Michael Hund; Michael Behrisch 001; Ines Färber; Michael Sedlmair; Tobias Schreck; Thomas Seidl 001; Daniel A. Keim (SISAP, 2015)

FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover's Distance. - Merih Seran Uysal; Christian Beecks; Daniel Sabinasz; Thomas Seidl 001 (SISAP, 2015)

Efficient Process Discovery From Event Streams Using Sequential Pattern Mining. - Marwan Hassani; Sergio Siccha; Florian Richter 001; Thomas Seidl 001 (SSCI, 2015)

Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams. - Christian Beecks; Marwan Hassani; Jennifer Hinnell; Daniel Schüller; Bela Brenger; Irene Mittelberg; Thomas Seidl 001 (SSTD, 2015)

Efficient similarity search in scientific databases with feature signatures. - Merih Seran Uysal; Christian Beecks; Jochen Schmücking; Thomas Seidl 001 (SSDBM, 2015)

Subspace clustering of data streams: new algorithms and effective evaluation measures. - Marwan Hassani; Yunsu Kim 001; Seungjin Choi; Thomas Seidl 001 (J. Intell. Inf. Syst., 2015)

MultiClust special issue on discovering, summarizing and using multiple clusterings. - Emmanuel Müller; Ira Assent; Stephan Günnemann; Thomas Seidl 001; Jennifer G. Dy (Mach. Learn., 2015)

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 001 (CCGrid, 2016)

Approximation-Based Efficient Query Processing with the Earth Mover's Distance. - Merih Seran Uysal; Daniel Sabinasz; Thomas Seidl 001 (DASFAA (2), 2016)

Distance-based Multimedia Indexing. - Christian Beecks; Merih Seran Uysal; Thomas Seidl 001 (EDBT, 2016)

Towards an Efficient Ranking of Interval-Based Patterns. - Marwan Hassani; Yifeng Lu; Thomas Seidl 001 (EDBT, 2016)

Efficient Query Processing using the Earth's Mover Distance in Video Databases. - Merih Seran Uysal; Christian Beecks; Daniel Sabinasz; Jochen Schmücking; Thomas Seidl 001 (EDBT, 2016)

Normalized Semantic Web Distance. - Tom De Nies; Christian Beecks; Fréderic Godin; Wesley De Neve; Grzegorz Stepien; Dörthe Arndt; Laurens De Vocht; Ruben Verborgh; Thomas Seidl 001; Erik Mannens; Rik Van de Walle (ESWC, 2016)

A geometric approach for mining sequential patterns in interval-based data streams. - Marwan Hassani; Yifeng Lu; Jens Wischnewsky; Thomas Seidl 001 (FUZZ-IEEE, 2016)

Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data. - Laurens De Vocht; Christian Beecks; Ruben Verborgh; Erik Mannens; Thomas Seidl 001; Rik Van de Walle (HCI (4), 2016)

Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. - Erik Scharwächter; Emmanuel Müller; Jonathan F. Donges; Marwan Hassani; Thomas Seidl 001 (ICDM, 2016)

Content-based retrieval in videos from laparoscopic surgery. - Klaus Schoeffmann; Christian Beecks; Mathias Lux; Merih Seran Uysal; Thomas Seidl 001 (Image-Guided Procedures, 2016)

Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSN. - Roland Assam; Subramanyam Sathyanarayana; Thomas Seidl 001 (SDM, 2016)

A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs. - Tom De Nies; Christian Beecks; Fréderic Godin; Wesley De Neve; Grzegorz Stepien; Dörthe Arndt; Laurens De Vocht; Ruben Verborgh; Thomas Seidl 001; Erik Mannens; Rik Van de Walle (ICSC, 2016)

Efficient Query Processing in 3D Motion Capture Gesture Databases. - Christian Beecks; Marwan Hassani; Bela Brenger; Jennifer Hinnell; Daniel Schüller; Irene Mittelberg; Thomas Seidl 001 (Int. J. Semantic Comput., 2016)

Clustering Big Data streams: recent challenges and contributions. - Marwan Hassani; Thomas Seidl 001 (it Inf. Technol., 2016)

TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times. - Florian Richter 001; Thomas Seidl 001 (BPM, 2017)

Multimedia Similarity Search. - Thomas Seidl 001 (BTW (Workshops), 2017)

Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction. - Marwan Hassani; Daniel Töws; Thomas Seidl 001 (SAC, 2017)

Fast Similarity Search with the Earth Mover's Distance via Feasible Initialization and Pruning. - Merih Seran Uysal; Kai Driessen; Tobias Brockhoff; Thomas Seidl 001 (SISAP, 2017)

Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform. - Daniyal Kazempour; Markus Mauder 001; Peer Kröger; Thomas Seidl 001 (SSDBM, 2017)

Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering. - Yifeng Lu; Marwan Hassani; Thomas Seidl 001 (SSDBM, 2017)

Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action. - Daniel Schüller; Christian Beecks; Marwan Hassani; Jennifer Hinnell; Bela Brenger; Thomas Seidl 001; Irene Mittelberg (Digit. Humanit. Q., 2017)

MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels. - Brigitte Boden; Stephan Günnemann; Holger Hoffmann; Thomas Seidl 001 (Knowl. Inf. Syst., 2017)

Using internal evaluation measures to validate the quality of diverse stream clustering algorithms. - Marwan Hassani; Thomas Seidl 001 (Vietnam. J. Comput. Sci., 2017)

Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal. - Yifeng Lu; Florian Richter 001; Thomas Seidl 001 (DASFAA (1), 2018)

Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing. - Yifeng Lu; Thomas Seidl 001 (DSAA, 2018)

FATBIRD: A Tool for Flight and Trajectories Analyses of Birds. - Daniyal Kazempour; Anna Beer 001; Friederike Herzog; Daniel Kaltenthaler; Johannes-Y. Lohrer; Thomas Seidl 001 (eScience, 2018)

Identifying Entangled Data Points on Iteration Trajectories of Clusterings. - Daniyal Kazempour; Thomas Seidl 001 (LWDA, 2018)

Mirror Mirror on the Wall, What is the Fairest Linear Parameter Space Representation of All? On Representations of Linear Parameter Space in Context of Clustering. - Daniyal Kazempour; Andrian Mörtlbauer; Peer Kröger; Thomas Seidl 001 (LWDA, 2018)

D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space. - Daniyal Kazempour; Kevin Bein; Peer Kröger; Thomas Seidl 001 (SISAP, 2018)

PARADISO: an interactive approach of parameter selection for the mean shift algorithm. - Daniyal Kazempour; Anna Beer 001; Johannes-Y. Lohrer; Daniel Kaltenthaler; Thomas Seidl 001 (SSDBM, 2018)

Data Science: a proposal for a curriculum. - Göran Kauermann; Thomas Seidl 001 (Int. J. Data Sci. Anal., 2018)

Nearest Neighbor Classification. - Thomas Seidl 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

LIProMa: Label-Independent Process Matching. - Florian Richter 001; Ludwig Zellner; Imen Azaiz; David Winkel; Thomas Seidl 001 (Business Process Management Workshops, 2019)

Chain-detection for DBSCAN. - Janis Held; Anna Beer 001; Thomas Seidl 001 (BTW (Workshops), 2019)

DICE: Density-based Interactive Clustering and Exploration. - Daniyal Kazempour; Maksim Kazakov; Peer Kröger; Thomas Seidl 001 (BTW, 2019)

Rock - Let the points roam to their clusters themselves. - Anna Beer 001; Daniyal Kazempour; Thomas Seidl 001 (EDBT, 2019)

Insights into a running clockwork: On interactive process-aware clustering. - Daniyal Kazempour; Thomas Seidl 001 (EDBT, 2019)

A Galaxy of Correlations. - Daniyal Kazempour; Lisa Krombholz; Peer Kröger; Thomas Seidl 001 (EDBT, 2019)

Human Learning in Data Science. - Anna Beer 001; Daniyal Kazempour; Marcel Baur; Thomas Seidl 001 (HCI (34), 2019)

Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data. - Daniyal Kazempour; Anna Beer 001; Thomas Seidl 001 (HCI (34), 2019)

A Generator for Subspace Clusters. - Anna Beer 001; Nadine Sarah Schüler; Thomas Seidl 001 (LWDA, 2019)

CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA. - Maximilian Archimedes Xaver Hünemörder; Anna Beer 001; Daniyal Kazempour; Thomas Seidl 001 (LWDA, 2019)

Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents. - Daniyal Kazempour; Anna Beer 001; Oliver Schrüfer; Thomas Seidl 001 (LWDA, 2019)

From Covariance to Comode in context of Principal Component Analysis. - Daniyal Kazempour; Long Mathias Yan; Thomas Seidl 001 (LWDA, 2019)

k-process: Model-Conformance-based Clustering of Process Instances. - Florian Richter 001; Florian Wahl; Alona Sydorova; Thomas Seidl 001 (LWDA, 2019)

Temporal Deviations on Event Sequences. - Janina Sontheim; Florian Richter 001; Thomas Seidl 001 (LWDA, 2019)

Model-Aware Clustering of Non-conforming Traces. - Florian Richter 001; Ludwig Zellner; Janina Sontheim; Thomas Seidl 001 (OTM Conferences, 2019)

MORe++: k-Means Based Outlier Removal on High-Dimensional Data. - Anna Beer 001; Jennifer Lauterbach; Thomas Seidl 001 (SISAP, 2019)

SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. - Maximilian Archimedes Xaver Hünemörder; Daniyal Kazempour; Peer Kröger; Thomas Seidl 001 (SISAP, 2019)

On coMADs and Principal Component Analysis. - Daniyal Kazempour; Max Hünemörder; Thomas Seidl 001 (SISAP, 2019)

Graph Ordering and Clustering: A Circular Approach. - Anna Beer 001; Thomas Seidl 001 (SSDBM, 2019)

LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function. - Anna Beer 001; Daniyal Kazempour; Lisa Stephan; Thomas Seidl 001 (SSDBM, 2019)

On systematic hyperparameter analysis through the example of subspace clustering. - Daniyal Kazempour; Thomas Seidl 001 (SSDBM, 2019)

Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform. - Daniyal Kazempour; Kilian Emmerig; Peer Kröger; Thomas Seidl 001 (SSDBM, 2019)

TACAM: Topic And Context Aware Argument Mining. - Michael Fromm 001; Evgeniy Faerman; Thomas Seidl 001 (WI, 2019)

LSCMiner: Efficient Low Support Closed Itemsets Mining. - Yifeng Lu; Florian Richter 001; Thomas Seidl 001 (WISE, 2019)

Chain-detection Between Clusters. - Janis Held; Anna Beer 001; Thomas Seidl 001 (Datenbank-Spektrum, 2019)

Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm. - Daniyal Kazempour; Markus Mauder 001; Peer Kröger; Thomas Seidl 001 (Distributed Parallel Databases, 2019)

BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams. - Marwan Hassani; Daniel Töws; Alfredo Cuzzocrea; Thomas Seidl 001 (Int. J. Data Sci. Anal., 2019)

Looking into the TESSERACT: Time-drifts in event streams using series of evolving rolling averages of completion times. - Florian Richter 001; Thomas Seidl 001 (Inf. Syst., 2019)

TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimation. - Florian Richter 001; Janina Sontheim; Ludwig Zellner; Thomas Seidl 001 (BPM, 2020)

Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. - Valentyn Melnychuk; Evgeniy Faerman; Ilja Manakov; Thomas Seidl 001 (CIKM (Workshops), 2020)

AMTICS: Aligning Micro-clusters to Identify Cluster Structures. - Florian Richter 001; Yifeng Lu; Daniyal Kazempour; Thomas Seidl 001 (DASFAA (1), 2020)

PushNet: Efficient and Adaptive Neural Message Passing. - Julian Busch; Jiaxing Pi; Thomas Seidl 001 (ECAI, 2020)

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. - Max Berrendorf; Evgeniy Faerman; Valentyn Melnychuk; Volker Tresp; Thomas Seidl 001 (ECIR (2), 2020)

I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. - Daniyal Kazempour; Anna Beer 001; Peer Kröger; Thomas Seidl 001 (ICDM (Workshops), 2020)

Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering. - Daniyal Kazempour; Peer Kröger; Thomas Seidl 001 (ICDM (Workshops), 2020)

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 Kröger; Thomas Seidl 001 (ICDM (Workshops), 2020)

Keynote Data Mining on Process Data. - Thomas Seidl 001 (ICPM, 2020)

Performance Skyline: Inferring Process Performance Models from Interval Events. - Andrea Maldonado 001; Janina Sontheim; Florian Richter 001; Thomas Seidl 001 (ICPM Workshops, 2020)

TOAD: Trace Ordering for Anomaly Detection. - Florian Richter 001; Yifeng Lu; Ludwig Zellner; Janina Sontheim; Thomas Seidl 001 (ICPM, 2020)

OTOSO: Online Trace Ordering for Structural Overviews. - Florian Richter 001; Andrea Maldonado 001; Ludwig Zellner; Thomas Seidl 001 (ICPM Workshops, 2020)

Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. - Ludwig Zellner; Florian Richter 001; Janina Sontheim; Andrea Maldonado 001; Thomas Seidl 001 (ICPM Workshops, 2020)

KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection. - Yao Zhang; Yifeng Lu; Thomas Seidl 001 (iiWAS, 2020)

k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. - Yifeng Lu; Yao Zhang; Florian Richter 001; Thomas Seidl 001 (IJCNN, 2020)

Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data. - Anna Beer 001; Daniyal Kazempour; Julian Busch; Alexander Tekles; Thomas Seidl 001 (LWDA, 2020)

Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform. - Felix Borutta; Daniyal Kazempour; Felix Mathy; Peer Kröger; Thomas Seidl 001 (PAKDD (1), 2020)

Angle-Based Clustering. - Anna Beer 001; Dominik Seeholzer; Nadine Sarah Schüler; Thomas Seidl 001 (SISAP, 2020)

Orderings of Data - More Than a Tripping Hazard: Visionary. - Anna Beer 001; Valentin Hartmann; Thomas Seidl 001 (SSDBM, 2020)

Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering. - Julian Busch; Evgeniy Faerman; Matthias Schubert; Thomas Seidl 001 (CoRR, 2020)

"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS. - Florian Richter 001; Yifeng Lu; Daniyal Kazempour; Thomas Seidl 001 (Data Sci. Eng., 2020)

Relational and Fine-Grained Argument Mining. - Dietrich Trautmann; Michael Fromm 001; Volker Tresp; Thomas Seidl 001; Hinrich Schütze (Datenbank-Spektrum, 2020)

Efficient Infrequent Pattern Mining Using Negative Itemset Tree. - Yifeng Lu; Florian Richter 001; Thomas Seidl 001 (Complex Pattern Mining, 2020)

Argument Mining Driven Analysis of Peer-Reviews Dataset. - Michael Fromm 001; Max Berrendorf; Evgheniy Faerman; Thomas Seidl 001 (Zenodo, 2020)

Argument Mining Driven Analysis of Peer-Reviews. - Michael Fromm 001; Evgeniy Faerman; Max Berrendorf; Siddharth Bhargava; Ruoxia Qi; Yao Zhang; Lukas Dennert; Sophia Selle; Yang Mao; Thomas Seidl 001 (AAAI, 2021)

Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering. - Sandra Obermeier; Anna Beer 001; Florian Wahl; Thomas Seidl 001 (BTW, 2021)

Compound Segmentation via Clustering on Mol2Vec-based Embeddings. - Daniyal Kazempour; Anna Beer 001; Melanie Oelker; Peer Kröger; Thomas Seidl 001 (e-Science, 2021)

Diversity Aware Relevance Learning for Argument Search. - Michael Fromm 001; Max Berrendorf; Sandra Obermeier; Thomas Seidl 001; Evgeniy Faerman (ECIR (2), 2021)

KISS - A fast kNN-based Importance Score for Subspaces. - Anna Beer 001; Ekaterina Allerborn; Valentin Hartmann; Thomas Seidl 001 (EDBT, 2021)

PErrCas: Process Error Cascade Mining in Trace Streams. - Anna Wimbauer; Florian Richter 001; Thomas Seidl 001 (ICPM Workshops, 2021)

LUCKe - Connecting Clustering and Correlation Clustering. - Anna Beer 001; Lisa Stephan; Thomas Seidl 001 (ICDM (Workshops), 2021)

Implicit Hough Transform Neural Networks for Subspace Clustering. - Julian Busch; Maximilian Hünemörder; Janis Held; Peer Kröger; Thomas Seidl 001 (ICDM (Workshops), 2021)

SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size. - Ludwig Zellner; Janina Sontheim; Florian Richter 001; Gabriel Lindner; Thomas Seidl 001 (ICDM (Workshops), 2021)

AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval. - Andreas Lohrer; Anna Beer 001; Maximilian Archimedes Xaver Hünemörder; Jenny Lauterbach; Thomas Seidl 001; Peer Kröger (LWDA, 2021)

NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. - Julian Busch; Anton Kocheturov; Volker Tresp; Thomas Seidl 001 (SSDBM, 2021)

Active Learning for Argument Strength Estimation. - Nataliia Kees; Michael Fromm 001; Evgeniy Faerman; Thomas Seidl 001 (CoRR, 2021)

On Methods and Measures for the Inspection of Arbitrarily Oriented Subspace Clusters. - Daniyal Kazempour; Johannes Winter; Peer Kröger; Thomas Seidl 001 (Datenbank-Spektrum, 2021)

VERIPS: Verified Pseudo-label Selection for Deep Active Learning. - Sandra Gilhuber; Philipp Jahn 001; Yunpu Ma; Thomas Seidl 001 (ICDM, 2022)

Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations. - Sandra Gilhuber; Max Berrendorf; Yunpu Ma; Thomas Seidl 001 (IAL@PKDD/ECML, 2022)

Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. - David Winkel; Niklas Strauß; Matthias Schubert; Thomas Seidl 001 (ECML/PKDD (6), 2022)

Towards a Holistic View on Argument Quality Prediction. - Michael Fromm 001; Max Berrendorf; Johanna Reiml; Isabelle Mayerhofer; Siddharth Bhargava; Evgeniy Faerman; Thomas Seidl 001 (CoRR, 2022)

SCAR - Spectral Clustering Accelerated and Robustified. - Ellen Hohma; Christian M. M. Frey; Anna Beer 001; Thomas Seidl 001 (Proc. VLDB Endow., 2022)

InstanceFormer: An Online Video Instance Segmentation Framework. - Rajat Koner; Tanveer Hannan; Suprosanna Shit; Sahand Sharifzadeh; Matthias Schubert; Thomas Seidl 001; Volker Tresp (AAAI, 2023)

Cross-Domain Argument Quality Estimation. - Michael Fromm 001; Max Berrendorf; Evgeniy Faerman; Thomas Seidl 001 (ACL (Findings), 2023)

Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. - David Winkel; Niklas Strauß; Matthias Schubert; Thomas Seidl 001 (ECAI, 2023)

FEEED: Feature Extraction from Event Data. - Andrea Maldonado 001; Gabriel Marques Tavares; Rafael Seidi Oyamada; Paolo Ceravolo; Thomas Seidl 001 (ICPM Doctoral Consortium / Demo, 2023)

Process Mining Techniques for Collusion Detection in Online Exams. - Andrea Maldonado 001; Ludwig Zellner; Sven Strickroth; Thomas Seidl 001 (ICPM Workshops, 2023)

Adaptive Multi-Resolution Attention with Linear Complexity. - Yao Zhang; Yunpu Ma; Thomas Seidl 001; Volker Tresp (IJCNN, 2023)

Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. - David Winkel; Niklas Strauß; Matthias Schubert; Yunpu Ma; Thomas Seidl 001 (PAKDD (2), 2023)

DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. - Sandra Gilhuber; Julian Busch; Daniel Rotthues; Christian M. M. Frey; Thomas Seidl 001 (ECML/PKDD (1), 2023)

How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning. - Sandra Gilhuber; Rasmus Hvingelby; Mang Ling Ada Fok; Thomas Seidl 001 (ECML/PKDD (2), 2023)

GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. - Tanveer Hannan; Rajat Koner; Maximilian Bernhard; Suprosanna Shit; Bjoern H. Menze; Volker Tresp; Matthias Schubert; Thomas Seidl 001 (CoRR, 2023)

RGNet: A Unified Retrieval and Grounding Network for Long Videos. - Tanveer Hannan; Md Mohaiminul Islam; Thomas Seidl 001; Gedas Bertasius (CoRR, 2023)

Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study. - Theresa Ullmann; Anna Beer 001; Maximilian Hünemörder; Thomas Seidl 001; Anne-Laure Boulesteix (Adv. Data Anal. Classif., 2023)

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. - Andrea Maldonado 001; Christian M. M. Frey; Gabriel Marques Tavares; Nikolina Rehwald; Thomas Seidl 001 (BPM, 2024)

RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos. - Tanveer Hannan; Md Mohaiminul Islam; Thomas Seidl 001; Gedas Bertasius (ECCV (21), 2024)

Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters. - Collin Leiber; Niklas Strauß; Matthias Schubert; Thomas Seidl 001 (ICDM (Workshops), 2024)

iGEDI: interactive Generating Event Data with Intentional Features. - Andrea Maldonado 001; Sai Anirudh Aryasomayajula; Christian M. M. Frey; Thomas Seidl 001 (ICPM Doctoral Consortium / Demo, 2024)

Process-Aware Bayesian Networks for Sequential Event Log Queries. - Simon Rauch; Christian M. M. Frey; Ludwig Zellner; Thomas Seidl 001 (ICPM, 2024)

CC-HIT: Creating Counterfactuals from High-Impact Transitions. - Zhicong Xian; Ludwig Zellner; Gabriel Marques Tavares; Thomas Seidl 001 (ICPM Workshops, 2024)

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 001 (ICPR (16), 2024)

Autoregressive Policy Optimization for Constrained Allocation Tasks. - David Winkel; Niklas Strauß; Maximilian Bernhard; Zongyue Li; Thomas Seidl 001; Matthias Schubert (NeurIPS, 2024)

On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises. - Ludwig Zellner; Simon Rauch; Janina Sontheim; Thomas Seidl 001 (PAKDD (5), 2024)

FALCUN: A Simple and Efficient Deep Active Learning Strategy. - Sandra Gilhuber; Anna Beer 001; Yunpu Ma; Thomas Seidl 001 (ECML/PKDD (3), 2024)

Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. - Philipp Jahn 001; Christian M. M. Frey; Anna Beer 001; Collin Leiber; Thomas Seidl 001 (ECML/PKDD (7), 2024)

ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. - Valentin Margraf; Marcel Wever; Sandra Gilhuber; Gabriel Marques Tavares; Thomas Seidl 001; Eyke Hüllermeier (CoRR, 2024)

BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction. - Simon Rauch; Christian M. M. Frey; Andrea Maldonado 001; Thomas Seidl 001 (BPM, 2025)

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. - Tanveer Hannan; Md Mohaiminul Islam; Jindong Gu; Thomas Seidl 001; Gedas Bertasius (CVPR, 2025)

DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning. - Mamdouh Aljoud; Gabriel Marques Tavares; Collin Leiber; Thomas Seidl 001 (PAKDD (1), 2025)

My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals. - Jian Lan; Yifei Fu; Udo Schlegel; Gengyuan Zhang; Tanveer Hannan; Haokun Chen; Thomas Seidl 001 (CoRR, 2025)

AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction. - Gengyuan Zhang; Tanveer Hannan; Hermine Kleiner; Beste Aydemir; Xinyu Xie; Jian Lan; Thomas Seidl 001; Volker Tresp; Jindong Gu (CoRR, 2025)

Towards Explainable Deep Clustering for Time Series Data. - Udo Schlegel; Gabriel Marques Tavares; Thomas Seidl 001 (CoRR, 2025)