Thomas Seidl

Thomas Seidl, Roland Assam, 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.

Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System

Thomas Seidl, Marwan Hassani, Ayman Tarakji, 2014, PAKDD Workshops.

Efficient multi-step query processing for EMD-based similarity

Ira Assent, Thomas Seidl, T. Seidl, 2006, Content-Based Retrieval.

Signature matching distance for content-based image retrieval

Thomas Seidl, Christian Beecks, Steffen Kirchhoff, 2013, ICMR.

Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search

Thomas Seidl, Christoph Brochhaus, Marc Wichterich, 2006, EDBT.

Precise anytime clustering of noisy sensor data with logarithmic complexity

Thomas Seidl, Marwan Hassani, Philipp Kranen, 2011, SensorKDD '11.

Special section on spatial and temporal databases

Nikos Mamoulis, Thomas Seidl, 2011, GeoInformatica.

Outlier detection and ranking based on subspace clustering

Ira Assent, Emmanuel Müller, Thomas Seidl, 2008, Uncertainty Management in Information Systems.

Evaluating the Indoor Football Tracking Accuracy of a Radio-Based Real-Time Locating System

Thomas Seidl, Matthias Völker, Norbert Franke, 2016 .

Distance-Based Similarity Search in Multimedia Databases

Thomas Seidl, Christian Beecks, 2009 .

Hans-Peter Kriegel, Thomas Seidl, Karin Murthy, 2004, EDBT.

The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities

Thomas Seidl, Christian Beecks, Marc Wichterich, 2012, Frontiers of Computer Science.

On the Stability of Signature-Based Distance Functions for Content-Based Image Retrieval

Thomas Seidl, Christian Beecks, Steffen Kirchhoff, 2014, LWA.

Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance

Thomas Seidl, Christian Beecks, Steffen Kirchhoff, 2011, 2011 International Conference on Computer Vision.

Harnessing the Strengths of Anytime Algorithms for Constant Data Streams

Thomas Seidl, Philipp Kranen, 2009, ECML/PKDD.

Object-Relational Indexing for General Interval Relationships

Hans-Peter Kriegel, Thomas Seidl, Marco Pötke, 2001, SSTD.

Inverse predictions on continuous models in scientific databases

Thomas Seidl, Philip Driessen, Philipp Kranen, 2014, SSDBM '14.

Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search

Christian Böhm, Hans-Peter Kriegel, Thomas Seidl, 2002, Journal of Intelligent Information Systems.

On stability of signature-based similarity measures for content-based image retrieval

Thomas Seidl, Christian Beecks, Steffen Kirchhoff, 2012, Multimedia Tools and Applications.

k-Nearest Neighbor Classification

Thomas Seidl, T. Seidl, 2009, Encyclopedia of Database Systems.

Visual feedback in querying large databases

Hans-Peter Kriegel, Daniel A. Keim, Thomas Seidl, 1993, Proceedings Visualization '93.

Signature quadratic form distances for content-based similarity

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2009, ACM Multimedia.

Subspace outlier mining in large multimedia databases

Ira Assent, Ralph Krieger, Emmanuel Müller, 2007, Parallel Universes and Local Patterns.

Feature-Based Graph Similarity with Co-Occurrence Histograms and the Earth Mover's Distance

Thomas Seidl, Marc Wichterich, Anca Maria Zimmer, 2011, BTW.

Thomas Seidl, Christian Beecks, Tomáš Skopal, 2012, MMEDIA 2012.

Using Index Structures for Anytime Stream Mining

Thomas Seidl, Philipp Kranen, 2009, VLDB PhD Workshop.

KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks pdf

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2014, ArXiv.

Preserving privacy of moving objects via temporal clustering of spatio-temporal data streams

Thomas Seidl, Roland Assam, 2011, SPRINGL '11.

Efficient Database Techniques for Identification with Fuzzy Vault Templates

Christian Böhm, Thomas Seidl, Ines Färber, 2011, BIOSIG.

Spatial query processing for high resolutions

Hans-Peter Kriegel, Thomas Seidl, Martin Pfeifle, 2003, Eighth International Conference on Database Systems for Advanced Applications, 2003. (DASFAA 2003). Proceedings..

Clustering Big Data streams: recent challenges and contributions

Thomas Seidl, Marwan Hassani, 2016, it Inf. Technol..

Content-Based Image Retrieval with Gaussian Mixture Models

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, MMM.

Indexing the signature quadratic form distance for efficient content-based multimedia retrieval

Thomas Seidl, Jakub Lokoc, Tomás Skopal, 2011, ICMR.

Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing

Thomas Seidl, Yifeng Lu, T. Seidl, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

BT* - An Advanced Algorithm for Anytime Classification

Thomas Seidl, Marwan Hassani, Philipp Kranen, 2012, SSDBM.

Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types

Thomas Seidl, Stephan Günnemann, Brigitte Boden, 2012, SSDBM.

Harnessing the strengths of anytime algorithms for constant data streams

Thomas Seidl, Philipp Kranen, 2009, Data Mining and Knowledge Discovery.

Human Learning in Data Science

Thomas Seidl, Daniyal Kazempour, Anna Beer, 2019, HCI.

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data

Emmanuel Müller, Thomas Seidl, Stephan Günnemann, 2010, 2012 IEEE 28th International Conference on Data Engineering.

UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN

Thomas Seidl, Roland Assam, Simon Feiden, 2015, ECML/PKDD.

Hans-Peter Kriegel, Thomas Seidl, Thomas Schmidt, 1997, SSD.

Efficient interval management using object-relational database servers

Thomas Seidl, Knut Stolze, Christoph Brochhaus, 2005, Informatik - Forschung und Entwicklung.

Differential Private Trajectory Obfuscation

Thomas Seidl, Marwan Hassani, Roland Assam, 2012, MobiQuitous.

Efficient Index Support for View-Dependent Queries on CFD Data

Thomas Seidl, Christoph Brochhaus, T. Seidl, 2007, SSTD.

On Efficient Query Processing with the Earth Mover's Distance

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2014, PIKM '14.

Fast nearest neighbor search in high-dimensional space

Hans-Peter Kriegel, Stefan Berchtold, Daniel A. Keim, 1998, Proceedings 14th International Conference on Data Engineering.

Using internal evaluation measures to validate the quality of diverse stream clustering algorithms

Thomas Seidl, Marwan Hassani, T. Seidl, 2017, Vietnam Journal of Computer Science.

EDSC: efficient density-based subspace clustering

Ira Assent, Ralph Krieger, Emmanuel Müller, 2008, CIKM '08.

Statistical selection of relevant subspace projections for outlier ranking

Emmanuel Müller, Thomas Seidl, Matthias Schiffer, 2011, 2011 IEEE 27th International Conference on Data Engineering.

Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification

Ralph Krieger, Thomas Seidl, Philipp Kranen, 2010, PAKDD.

PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce

Thomas Seidl, Grzegorz Stepien, Brigitte Boden, 2014, 2014 IEEE 30th International Conference on Data Engineering.

3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012

Arthur Zimek, Emmanuel Müller, Thomas Seidl, 2012, MultiClust@SDM.

Visual Quality Assessment of Subspace Clusterings

Daniel A. Keim, Thomas Seidl, Ines Färber, 2016 .

Improving Adaptable Similarity Query Processing by Using Approximations

Hans-Peter Kriegel, Thomas Seidl, Mihael Ankerst, 1998, VLDB.

ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information

Thomas Seidl, Marc Wichterich, Anca Maria Zimmer, 2011, PAKDD Workshops.

The Paradigm of Relational Indexing: a Survey

Hans-Peter Kriegel, Thomas Seidl, Martin Pfeifle, 2003, BTW.

Incremental Learning of Medical Data for Multi-Step Patient Health Classification

Ira Assent, Ralph Krieger, Emmanuel Müller, 2010 .

Detecting outliers on arbitrary data streams using anytime approaches

Ira Assent, Thomas Seidl, Philipp Kranen, 2010, StreamKDD '10.

Hinging Hyperplane Models for Multiple Predicted Variables

Thomas Seidl, Philipp Kranen, Anca Maria Zimmer, 2012, SSDBM.

DICE: Density-based Interactive Clustering and Exploration

Peer Kröger, Thomas Seidl, Daniyal Kazempour, 2019, BTW.

Adaptive outlierness for subspace outlier ranking

Emmanuel Müller, Thomas Seidl, Matthias Schiffer, 2010, CIKM '10.

An Evaluation Framework for Temporal Subspace Clustering Approaches

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Approximation-Based Similarity Search for 3-D Surface Segments

Hans-Peter Kriegel, Thomas Seidl, H. Kriegel, 1998, GeoInformatica.

Content-based exploration of multimedia databases

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2013, 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI).

Binäre Suche

Thomas Seidl, Jost Enderle, 2008, Taschenbuch der Algorithmen.

Anticipatory DTW for Efficient Similarity Search in Time Series Databases

Ira Assent, Ralph Krieger, Thomas Seidl, 2009, Proc. VLDB Endow..

Efficient Query Processing in 3D Motion Capture Gesture Databases

Thomas Seidl, Marwan Hassani, Christian Beecks, 2016, Int. J. Semantic Comput..

A cost model for interval intersection queries on RI-trees

Hans-Peter Kriegel, Thomas Seidl, Martin Pfeifle, 2002, Proceedings 14th International Conference on Scientific and Statistical Database Management.

Check-in Location Prediction Using Wavelets and Conditional Random Fields

Thomas Seidl, Roland Assam, 2014, 2014 IEEE International Conference on Data Mining.

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, SSDBM.

Chain-detection Between Clusters

Thomas Seidl, Anna Beer, Janis Held, 2019, Datenbank-Spektrum.

Datenmanagement und -exploration an der RWTH Aachen

Thomas Seidl, 2013, Datenbank-Spektrum.

Hans-Peter Kriegel, Thomas Seidl, H. Kriegel, 1999, State-of-the-Art in Content-Based Image and Video Retrieval.

Data Science: a proposal for a curriculum

Thomas Seidl, Göran Kauermann, G. Kauermann, 2018, International Journal of Data Science and Analytics.

Near-Optimal Activity Prediction through Efficient Wavelet Modulus Maxima Partitioning and Conditional Random Fields

Thomas Seidl, Roland Assam, 2014, 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops.

Identifying Entangled Data Points on Iteration Trajectories of Clusterings

Thomas Seidl, Daniyal Kazempour, 2018, LWDA.

EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2009, SensorKDD '09.

(k, d)-core anonymity: structural anonymization of massive networks

Thomas Seidl, Marwan Hassani, Roland Assam, 2014, SSDBM '14.

Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).

Supporting data mining of large databases by visual feedback queries

Hans-Peter Kriegel, Daniel A. Keim, Thomas Seidl, 1994, Proceedings of 1994 IEEE 10th International Conference on Data Engineering.

Context-based location clustering and prediction using conditional random fields

Thomas Seidl, Roland Assam, T. Seidl, 2014, MUM.

Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction

Thomas Seidl, Marwan Hassani, Daniel Töws, 2017, SAC.

k-process: Model-Conformance-based Clustering of Process Instances

Thomas Seidl, Florian Richter, Florian Wahl, 2019, LWDA.

Estimation and validation of spatio-temporal parameters for sprint running using a radio-based tracking system.

Thomas Seidl, Martin Lames, Daniel Linke, 2017, Journal of biomechanics.

Finding density-based subspace clusters in graphs with feature vectors

Thomas Seidl, Stephan Günnemann, Brigitte Boden, 2012, Data Mining and Knowledge Discovery.

INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy

Ira Assent, Ralph Krieger, Emmanuel Müller, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Private Map Matching: Realistic Private Route Cognition on Road Networks

Thomas Seidl, Roland Assam, T. Seidl, 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.

Adaptive Stream Clustering Using Incremental Graph Maintenance

Thomas Seidl, Alfredo Cuzzocrea, Marwan Hassani, 2015, BigMine.

Efficient User-Adaptable Similarity Search in Large Multimedia Databases

Hans-Peter Kriegel, Thomas Seidl, H. Kriegel, 1997, VLDB.

BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams

Thomas Seidl, Alfredo Cuzzocrea, Marwan Hassani, 2017, International Journal of Data Science and Analytics.

Less is More: Non-Redundant Subspace Clustering

Ira Assent, Ralph Krieger, Emmanuel Müller, 2010 .

Optimizing Sequential Pattern Mining Within Multiple Streams

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, BTW Workshops.

HSM: Heterogeneous Subspace Mining in High Dimensional Data

Ira Assent, Emmanuel Müller, Thomas Seidl, 2009, SSDBM.

Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, CIKM.

Subspace Clustering for Uncertain Data

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2010, SDM.

Mobile Mining and Information Management in HealthNet Scenarios

Matthias Jarke, Steffen Leonhardt, Emmanuel Müller, 2008, The Ninth International Conference on Mobile Data Management (mdm 2008).

Hierarchical Clustering for Real-Time Stream Data with Noise

Thomas Seidl, Felix Reidl, Fernando Sánchez Villaamil, 2011, SSDBM.

Density-Based Projected Clustering of Data Streams

Mohamed Medhat Gaber, Thomas Seidl, Marwan Hassani, 2012, SUM.

PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction

Thomas Seidl, Philip Driessen, Philipp Kranen, 2012, DASFAA.

Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform

Peer Kröger, Thomas Seidl, Daniyal Kazempour, 2017, SSDBM.

A hybrid control approach for low temperature combustion engine control

Thomas Seidl, Dirk Abel, Anca Maria Zimmer, 2011, IEEE Conference on Decision and Control and European Control Conference.

Optimal multi-step k-nearest neighbor search

Hans-Peter Kriegel, Thomas Seidl, H. Kriegel, 1998, SIGMOD '98.

Analyzing the inner workings of the Signature Quadratic Form Distance

Thomas Seidl, Christian Beecks, T. Seidl, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Pleiades: Subspace Clustering and Evaluation

Ira Assent, Ralph Krieger, Emmanuel Müller, 2008, ECML/PKDD.

Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams

Thomas Seidl, Marwan Hassani, 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

Tracing clusters in evolving graphs with node attributes

Thomas Seidl, Stephan Günnemann, Brigitte Boden, 2012, CIKM '12.

Multimedia Similarity Search

Thomas Seidl, T. Seidl, 2017, BTW.

Effective Map Matching Using Curve Tangents and Hidden Markov Model

Thomas Seidl, Roland Assam, 2014, 2014 10th International Conference on Mobile Ad-hoc and Sensor Networks.

Future applications and solutions

Thomas Seidl, M. Tamer Özsu, Roger Mohr, 2004, CVDB '04.

Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Bone age assessment using support vector regression with smart class mapping

Hendrik Simon, Thomas Seidl, Daniel Haak, 2013, Medical Imaging.

Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Normalized Semantic Web Distance

Wesley De Neve, Rik Van de Walle, Ruben Verborgh, 2016, ESWC.

Large-scale Efficient and Effective Video Similarity Search

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, LSDS-IR@CIKM.

Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2014, CIKM.

Activity recognition from sensors using dyadic wavelets and Hidden Markov Model

Thomas Seidl, Roland Assam, 2014, 2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments

Mathias Lux, Klaus Schöffmann, Thomas Seidl, 2015, 2015 IEEE International Symposium on Multimedia (ISM).

Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering

Thomas Seidl, Marwan Hassani, Yifeng Lu, 2017, SSDBM.

Relational and Fine-Grained Argument Mining

Thomas Seidl, Hinrich Schütze, Volker Tresp, 2020, Datenbank-Spektrum.

Density-Based Subspace Clustering in Heterogeneous Networks

Thomas Seidl, Martin Ester, Brigitte Boden, 2014, ECML/PKDD.

A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs

Wesley De Neve, Rik Van de Walle, Ruben Verborgh, 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).

DensEst: Density Estimation for Data Mining in High Dimensional Spaces

Ira Assent, Ralph Krieger, Emmanuel Müller, 2009, SDM.

Parallel Density-Based Stream Clustering Using a Multi-user GPU Scheduler

Rainer Leupers, Thomas Seidl, Marwan Hassani, 2015, BDAS.

Nearest Neighbor Classification

Thomas Seidl, T. Seidl, 2009, Encyclopedia of Database Systems.

Effective Content-Based Near-Duplicate Video Detection

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, 2015 IEEE International Symposium on Multimedia (ISM).

Solvent Accessible Surface Representation in a Database System for Protein Docking

Hans-Peter Kriegel, Thomas Seidl, H. Kriegel, 1995, ISMB.

Improving Semantic Relatedness in Paths for Storytelling with Linked Data on the Web

Rik Van de Walle, Ruben Verborgh, Erik Mannens, 2015, ESWC.

Approximation-Based Efficient Query Processing with the Earth Mover's Distance

Thomas Seidl, Merih Seran Uysal, Daniel Sabinasz, 2016, DASFAA.

I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools

Thomas Seidl, Alfredo Cuzzocrea, Marwan Hassani, 2016, 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid).

Model-Aware Clustering of Non-conforming Traces

Thomas Seidl, Florian Richter, Ludwig Zellner, 2019, OTM Conferences.

Chain-detection for DBSCAN

Thomas Seidl, Anna Beer, Janis Held, 2019, BTW.

Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSN

Thomas Seidl, Roland Assam, Subramanyam Sathyanarayana, 2016, SDM.

Multidimensionality and Nearest-Neighbor Searches-Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search

Thomas Seidl, Christoph Brochhaus, Marc Wichterich, 2006 .

Modeling multimedia contents through probabilistic feature signatures

Thomas Seidl, Christian Beecks, Steffen Kirchhoff, 2011, MM '11.

Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents

Thomas Seidl, Daniyal Kazempour, Anna Beer, 2019, LWDA.

Bioinformatik - Aktuelles Schlagwort

Hans-Peter Kriegel, Rolf Backofen, Peter Clote, 1999, Inform. Spektrum.

Pattern detector: fast detection of suspicious stream patterns for immediate reaction

Ira Assent, Thomas Seidl, Stephan Günnemann, 2010, EDBT '10.

“Show Me the Crowds!” Revealing Cluster Structures Through AMTICS

Thomas Seidl, Daniyal Kazempour, Florian Richter, 2020, Data Science and Engineering.

A Cost Model for Spatial Intersection Queries on RI-Trees

Hans-Peter Kriegel, Thomas Seidl, Martin Pfeifle, 2004, DASFAA.

MultiClust special issue on discovering, summarizing and using multiple clusterings

Ira Assent, Emmanuel Müller, Thomas Seidl, 2014, Machine Learning.

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data

Emmanuel Müller, Thomas Seidl, Stephan Günnemann, 2012, ICDE.

Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data

Thomas Seidl, Stephan Günnemann, Ines Färber, 2012, KDD.

Adaptable Distance Functions for Similarity-based Multimedia Retrieval

Ira Assent, Thomas Seidl, Marc Wichterich, 2006, Datenbank-Spektrum.

Ranking multimedia databases via relevance feedback with history and foresight support

Thomas Seidl, Christian Beecks, Marc Wichterich, 2008, 2008 IEEE 24th International Conference on Data Engineering Workshop.

Subgraph Mining on Directed and Weighted Graphs

Thomas Seidl, Stephan Günnemann, Stephan Günnemann, 2010, PAKDD.

High-Dimensional Indexing for Multimedia Features

Ira Assent, Thomas Seidl, Stephan Günnemann, 2009, BTW.

Tracing Evolving Subspace Clusters in Temporal Climate Data

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2011, Data Mining and Knowledge Discovery.

Mining Sequential Patterns of Event Streams in a Smart Home Application

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, LWA.

Efficient EMD-based Similarity Search in Medical Image Databases

Christian Böhm, Ira Assent, Thomas Seidl, 2010 .

Processing the signature quadratic form distance on many-core GPU architectures

Martin Krulis, Thomas Seidl, Jakub Lokoc, 2011, CIKM '11.

Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering

Thomas Seidl, Marwan Hassani, 2014, DASFAA Workshops.

Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data

Thomas Seidl, Marwan Hassani, Stefan Lankes, 2013, ICCSA.

Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences

Ira Assent, Thomas Seidl, Christian Beecks, 2011, MMM.

Similarity Search and Applications

Peer Kröger, Thomas Seidl, Christian Beecks, 2017, Lecture Notes in Computer Science.

Efficient Process Discovery From Event Streams Using Sequential Pattern Mining

Thomas Seidl, Florian Richter, Marwan Hassani, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2012, PAKDD.

Improving the Efficiency of Content-Based Multimedia Exploration

Thomas Seidl, Christian Beecks, Sascha Wiedenfeld, 2010, 2010 20th International Conference on Pattern Recognition.

Spatial Data Management for Virtual Product Development

Hans-Peter Kriegel, Thomas Seidl, Matthias Renz, 2003, Computer Science in Perspective.

Approximation Techniques for Indexing the Earth Mover’s Distance in Multimedia Databases

Ira Assent, Thomas Seidl, Andrea Wenning, 2006, 22nd International Conference on Data Engineering (ICDE'06).

Efficient Query Processing using the Earth's Mover Distance in Video Databases

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2016, EDBT.

Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data

Rik Van de Walle, Ruben Verborgh, Erik Mannens, 2016, HCI.

Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time

Thomas Seidl, Marwan Hassani, Philipp Kranen, 2011, LWA.

Adaptive Multiple-Resolution Stream Clustering

Thomas Seidl, Marwan Hassani, Pascal Spaus, 2014, MLDM.

MC-Tree: Improving Bayesian Anytime Classification

Thomas Seidl, Stephan Günnemann, Philipp Kranen, 2010, SSDBM.

Clustering multidimensional sequences in spatial and temporal databases

Ira Assent, Ralph Krieger, Thomas Seidl, 2007, Knowledge and Information Systems.

Flexible Fault Tolerant Subspace Clustering for Data with Missing Values

Emmanuel Müller, Thomas Seidl, Stephan Günnemann, 2011, 2011 IEEE 11th International Conference on Data Mining.

IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing

Thomas Seidl, Christoph Brochhaus, T. Seidl, 2007, VLDB.

Spatial Multidimensional Sequence Clustering

Ira Assent, Ralph Krieger, Thomas Seidl, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space

Peer Kröger, Thomas Seidl, Daniyal Kazempour, 2018, SISAP.

Employing the Principal Hessian Direction for Building Hinging Hyperplane Models

Thomas Seidl, Dirk Abel, Anca Maria Zimmer, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors

Thomas Seidl, Stephan Günnemann, Brigitte Boden, 2011, ECML/PKDD.

Big Data-Zentren - Vorstellung und Panel

Wolfgang Lehner, Erhard Rahm, Volker Markl, 2015, BTW.

TMC-pattern: holistic trajectory extraction, modeling and mining

Thomas Seidl, Roland Assam, 2012, BigSpatial '12.

AnyOut: Anytime Outlier Detection on Streaming Data

Ira Assent, Thomas Seidl, Philipp Kranen, 2012, DASFAA.

High resolution indexing for CAD databases

Hans-Peter Kriegel, Thomas Seidl, Martin Pfeifle, 2001 .

Type-based categorization of relational attributes

Divesh Srivastava, Babak Ahmadi, Marios Hadjieleftheriou, 2009, EDBT '09.

Subspace search and visualization to make sense of alternative clusterings in high-dimensional data

Daniel A. Keim, Thomas Seidl, Ines Färber, 2012, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST).

Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, 2015 IEEE International Symposium on Multimedia (ISM).

Interval Sequences: An Object-Relational Approach to Manage Spatial Data

Hans-Peter Kriegel, Thomas Seidl, Marco Pötke, 2001, SSTD.

On efficient content-based near-duplicate video detection

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI).

Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform

Thomas Seidl, Roman Haag, Brigitte Boden, 2013, CIKM.

SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces

Emmanuel Müller, Thomas Seidl, Matthias Schiffer, 2009, Datenbank-Spektrum.

MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering

Thomas Seidl, Geoff Holmes, Albert Bifet, 2010, WAPA.

Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

OutRank: ranking outliers in high dimensional data

Ira Assent, Emmanuel Müller, Thomas Seidl, 2008, 2008 IEEE 24th International Conference on Data Engineering Workshop.

Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action

Thomas Seidl, Marwan Hassani, Christian Beecks, 2017, Digit. Humanit. Q..

Hans-Peter Kriegel, Thomas Seidl, Gabi Kastenmüller, 1998, German Conference on Bioinformatics.

MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels

Holger Hoffmann, Thomas Seidl, Stephan Günnemann, 2017, Knowledge and Information Systems.

Stream Data Mining Using the MOA Framework

Thomas Seidl, Geoff Holmes, Jesse Read, 2012, DASFAA.

An extension of the PMML standard to subspace clustering models

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2011, PMML '11.

Efficient indexing and view dependent ranking in CFD databases

Thomas Seidl, Christoph Brochhaus, T. Seidl, 2008 .

A geometric approach for mining sequential patterns in interval-based data streams

Thomas Seidl, Marwan Hassani, Yifeng Lu, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Morpheus: interactive exploration of subspace clustering

Ira Assent, Ralph Krieger, Emmanuel Müller, 2008, KDD.

Nesting the earth mover's distance for effective cluster tracing

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2013, SSDBM.

FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover's Distance

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, SISAP.

An effective evaluation measure for clustering on evolving data streams

Thomas Seidl, Geoff Holmes, Albert Bifet, 2011, KDD.

A tool for automated evaluation of algorithms

Thomas Seidl, Sebastian Raubach, Philipp Kranen, 2012, CIKM '12.

External evaluation measures for subspace clustering

Ira Assent, Emmanuel Müller, Thomas Seidl, 2011, CIKM '11.

Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases

Thomas Seidl, Nicole Schneider, Jost Enderle, 2005, VLDB.

Detection of orthogonal concepts in subspaces of high dimensional data

Emmanuel Müller, Thomas Seidl, Stephan Günnemann, 2009, CIKM.

Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data

Thomas Seidl, Daniyal Kazempour, Anna Beer, 2019, HCI.

Looking into the TESSERACT: Time-drifts in event streams using series of evolving rolling averages of completion times

Thomas Seidl, Florian Richter, 2019, Inf. Syst..

Sequential Pattern Mining of Multimodal Streams in the Humanities

Sabina Jeschke, Thomas Seidl, Stella Neumann, 2015, BTW.

SOREX: Subspace Outlier Ranking Exploration Toolkit

Emmanuel Müller, Thomas Seidl, Matthias Hannen, 2010, ECML/PKDD.

Spatial data management for computer aided design

Hans-Peter Kriegel, Thomas Seidl, Andreas Müller, 2001, SIGMOD '01.

Advanced Data Mining Algorithms

Ira Assent, Thomas Seidl, T. Seidl, 2008 .

An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams

Ira Assent, Thomas Seidl, Philipp Kranen, 2012, Datenbank-Spektrum.

VISA: visual subspace clustering analysis

Ira Assent, Ralph Krieger, Emmanuel Müller, 2007, SKDD.

On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval

Thomas Seidl, Christian Beecks, T. Seidl, 2012, MMM.

Tobias Meisen, Ira Assent, Thomas Seidl, 2008, 2008 IEEE 24th International Conference on Data Engineering.

Self-Adaptive Anytime Stream Clustering

Ira Assent, Thomas Seidl, Philipp Kranen, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Filtertechniken für geschützte biometrische Datenbanken

Christian Böhm, Thomas Seidl, Ines Färber, 2011, BTW.

Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2011, EDBT/ICDT '11.

Effective and Robust Mining of Temporal Subspace Clusters

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2012, 2012 IEEE 12th International Conference on Data Mining.

Speeding Up Complex Video Copy Detection Queries

Ira Assent, Thomas Seidl, Hardy Kremer, 2010, DASFAA.

Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken

Thomas Seidl, Christian Beecks, Marc Wichterich, 2009, BTW.

Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server

Thomas Seidl, Knut Stolze, Christoph Brochhaus, 2005, BTW.

Validation of Football's Velocity Provided by a Radio-based Tracking System

Thomas Seidl, Norbert Franke, Titus Czyz, 2016 .

Insights and Knowledge Discovery from Big Geospatial Data Using TMC-Pattern

Thomas Seidl, Roland Assam, T. Seidl, 2014 .

Prediction of freezing of gait from Parkinson's Disease movement time series using conditional random fields

Thomas Seidl, Roland Assam, T. Seidl, 2014, HealthGIS '14.

Parameterized earth mover's distance for efficient metric space indexing

Thomas Seidl, Jakub Lokoc, Tomás Skopal, 2011, SISAP.

Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment

Thomas Martin Deserno, Thomas Seidl, Benedikt Fischer, 2013, IEEE Journal of Biomedical and Health Informatics.

HealthNet: A System for Mobile and Wearable Health Information Management

Matthias Jarke, Steffen Leonhardt, Ulrike Meyer, 2013, IMMoA.

A comparative study of similarity measures for content-based multimedia retrieval

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2010, 2010 IEEE International Conference on Multimedia and Expo.

Network Topology

Djoerd Hiemstra, Andrew Trotman, Stefano Baraldi, 2009, Encyclopedia of Database Systems.

Benchmarking Stream Clustering Algorithms within the MOA Framework

Thomas Seidl, Geoff Holmes, Albert Bifet, 2010 .

Christian Böhm, Hans-Peter Kriegel, Thomas Seidl, 2001, DaWaK.

Thomas Seidl, T. Seidl, 1998, Datenbank Rundbr..

Adaptive Model Tree for Streaming Data

Thomas Seidl, Anca Maria Zimmer, Michael Kurze, 2013, 2013 IEEE 13th International Conference on Data Mining.

Extended Query Refinement for Medical Image Retrieval

Hermann Ney, Thomas Martin Deserno, Klaus Spitzer, 2007, Journal of Digital Imaging.

FATBIRD: A Tool for Flight and Trajectories Analyses of Birds

Thomas Seidl, Daniyal Kazempour, Johannes-Y. Lohrer, 2018, 2018 IEEE 14th International Conference on e-Science (e-Science).

Biometric Template Protection

Christian Böhm, Thomas Seidl, Christoph Busch, 2011, Datenschutz und Datensicherheit - DuD.

Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081)

Michel Verleysen, Daniel A. Keim, Thomas Seidl, 2012, Dagstuhl Reports.

Machining Intelligence Network: Data Mining and Semantic Search in Manufacturing Industry

Thomas Seidl, Ines Färber, Sergej Fries, 2014, Towards the Internet of Services.

Towards Large-Scale Multimedia Exploration

Thomas Seidl, Christian Beecks, 2011 .

Efficient Processing of Multiple DTW Queries in Time Series Databases

Ira Assent, Thomas Seidl, Stephan Günnemann, 2011, SSDBM.

Evaluating Clustering in Subspace Projections of High Dimensional Data

Ira Assent, Emmanuel Müller, Thomas Seidl, 2009, Proc. VLDB Endow..

Projected Clustering for Huge Data Sets in MapReduce

Thomas Seidl, Sergej Fries, Stephan Wels, 2014, EDBT.

Indexing density models for incremental learning and anytime classification on data streams

Ira Assent, Ralph Krieger, Thomas Seidl, 2009, EDBT '09.

Object-Relational Spatial Indexing

Hans-Peter Kriegel, Thomas Seidl, Martin Pfeifle, 2005, Spatial Databases.

Clicks: An effective algorithm for mining subspace clusters in categorical datasets

Ira Assent, Thomas Seidl, Mohammed J. Zaki, 2007, Data Knowl. Eng..

CoDA: Interactive Cluster Based Concept Discovery

Thomas Seidl, Stephan Günnemann, Ines Färber, 2010, Proc. VLDB Endow..

Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms

Thomas Seidl, Stephan Günnemann, Ines Färber, 2010, 2010 IEEE International Conference on Data Mining.

A Subspace Clustering Extension for the KNIME Data Mining Framework

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

From Covariance to Comode in context of Principal Component Analysis

Thomas Seidl, Daniyal Kazempour, Long Mathias Yan, 2019, LWDA.

Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction

Ira Assent, Thomas Seidl, Philipp Kranen, 2008, SIGMOD Conference.

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

Peer Kröger, Thomas Seidl, Daniyal Kazempour, 2018, LWDA.

On coMADs and Principal Component Analysis

Thomas Seidl, Daniyal Kazempour, M. A. X. Hünemörder, 2019, SISAP.

A Galaxy of Correlations

Peer Kröger, Thomas Seidl, Daniyal Kazempour, 2019, EDBT.

A Model for Context-Aware Location Identity Preservation Using Differential Privacy

Thomas Seidl, Roland Assam, T. Seidl, 2013, 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications.

Temporal Deviations on Event Sequences

Thomas Seidl, Florian Richter, Janina Sontheim, 2019, LWDA.

Spectral Subspace Clustering for Graphs with Feature Vectors

Thomas Seidl, Stephan Günnemann, Ines Färber, 2013, 2013 IEEE 13th International Conference on Data Mining.

Signature Quadratic Form Distance

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2010, CIVR '10.

Resource-Aware Distributed Clustering of Drifting Sensor Data Streams

Thomas Seidl, Marwan Hassani, T. Seidl, 2012, NDT.

Differential private trajectory protection of moving objects

Thomas Seidl, Marwan Hassani, Roland Assam, 2012, IWGS '12.

Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, SSTD.

The Normalized Freebase Distance

Wesley De Neve, Rik Van de Walle, Erik Mannens, 2014, ESWC.

MOA: A Real-Time Analytics Open Source Framework

Thomas Seidl, Geoff Holmes, Jesse Read, 2011, ECML/PKDD.

Insights into a running clockwork: On interactive process-aware clustering

Thomas Seidl, Daniyal Kazempour, 2019, EDBT.

Subspace clustering of data streams: new algorithms and effective evaluation measures

Thomas Seidl, Marwan Hassani, Seungjin Choi, 2014, Journal of Intelligent Information Systems.

Advances in Spatial and Temporal Databases, 11th International Symposium, SSTD 2009, Aalborg, Denmark, July 8-10, 2009, Proceedings

Torben Bach Pedersen, Nikos Mamoulis, Ira Assent, 2009, SSTD.

SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge

Thomas Seidl, Peer Kröger, Daniyal Kazempour, 2019, SISAP.

AttentionAttractor: efficient video stream similarity query processing in real time

Ira Assent, Ralph Krieger, Thomas Seidl, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

Subspace MOA: Subspace Stream Clustering Evaluation Using the MOA Framework

Thomas Seidl, Marwan Hassani, Yunsu Kim, 2013, DASFAA.

Managing Intervals Efficiently in Object-Relational Databases

Hans-Peter Kriegel, Thomas Seidl, Marco Pötke, 2000, VLDB.

Content-based retrieval in videos from laparoscopic surgery

Mathias Lux, Klaus Schöffmann, Thomas Seidl, 2016, SPIE Medical Imaging.

GAMer: a synthesis of subspace clustering and dense subgraph mining

Thomas Seidl, Stephan Günnemann, Ines Färber, 2013, Knowledge and Information Systems.

A 3D Molecular Surface Representation Supporting Neighborhood Queries

Hans-Peter Kriegel, Thomas Seidl, H. Kriegel, 1995, SSD.

Binary Search

Thomas Seidl, Jost Enderle, 2011, Algorithms Unplugged.

CC-MR - Finding Connected Components in Huge Graphs with MapReduce

Thomas Seidl, Brigitte Boden, Sergej Fries, 2012, ECML/PKDD.

Effective Evaluation Measures for Subspace Clustering of Data Streams

Thomas Seidl, Marwan Hassani, Seungjin Choi, 2013, PAKDD Workshops.

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2010, SISAP.

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA

Thomas Seidl, Geoff Holmes, Albert Bifet, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Relevance Feedback for the Earth Mover's Distance

Thomas Seidl, Martin Sundermeyer, Christian Beecks, 2009, Adaptive Multimedia Retrieval.

Tracing Evolving Clusters by Subspace and Value Similarity

Thomas Seidl, Stephan Günnemann, Hardy Kremer, 2011, PAKDD.

Towards an Efficient Ranking of Interval-Based Patterns

Thomas Seidl, Marwan Hassani, Yifeng Lu, 2016, EDBT.

Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space

Hans-Peter Kriegel, Stefan Berchtold, Daniel A. Keim, 2000, IEEE Trans. Knowl. Data Eng..

MORe++: k-Means Based Outlier Removal on High-Dimensional Data

Thomas Seidl, Anna Beer, Jennifer Lauterbach, 2019, SISAP.

Data Mining For Robust Flight Scheduling

Ira Assent, Ralph Krieger, Thomas Seidl, 2009 .

Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance

Thomas Seidl, Martin Sundermeyer, Christian Beecks, 2009, CIKM.

Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors

Thomas Seidl, Stephan Günnemann, Ines Färber, 2013, PAKDD.

Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal

Thomas Seidl, Florian Richter, Yifeng Lu, 2018, DASFAA.

Nearest Neighbor Classification

Thomas Seidl, T. Seidl, 2009, Encyclopedia of Database Systems.

Rock - Let the points roam to their clusters themselves

Thomas Seidl, Daniyal Kazempour, Anna Beer, 2019, EDBT.

Biometric Template Protection : Ein Bericht über das Projekt BioKeyS (Schwerpunkt)

Thomas Seidl, Christoph Busch, Ines Färber, 2011 .

Gradient-based signatures for big multimedia data

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Earth Mover's Distance vs. Quadratic form Distance: An Analytical and Empirical Comparison

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2015, 2015 IEEE International Symposium on Multimedia (ISM).

Thomas Seidl, Christian Beecks, Reinhold Kneer, 2011, SISAP.

The TS-tree: efficient time series search and retrieval

Ira Assent, Ralph Krieger, Thomas Seidl, 2008, EDBT '08.

Proceedings of OSDM 2009

Ira Assent, Emmanuel Müller, Thomas Seidl, 2009 .

Internal Clustering Evaluation of Data Streams

Thomas Seidl, Marwan Hassani, T. Seidl, 2015, PAKDD Workshops.

L2-Signature Quadratic Form Distance for Efficient Query Processing in Very Large Multimedia Databases

Thomas Seidl, Christian Beecks, Merih Seran Uysal, 2011, MMM.

Joining interval data in relational databases

Thomas Seidl, Matthias Hampel, Jost Enderle, 2004, SIGMOD '04.

Multi-view clustering using mixture models in subspace projections

Thomas Seidl, Stephan Günnemann, Ines Färber, 2012, KDD.

Nearest neighbor search on multimedia indexing structures

Thomas Seidl, T. Seidl, 2004, CVDB '04.

MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce

Thomas Seidl, Brigitte Boden, Sergej Fries, 2013, BTW.

A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases

Ira Assent, Emmanuel Müller, Thomas Seidl, 2011, BTW.

DIVE: Database Integration for Virtual Engineering

Hans-Peter Kriegel, Thomas Seidl, Andreas Müller, 2001, ICDE Demo Sessions.

PARADISO: an interactive approach of parameter selection for the mean shift algorithm

Thomas Seidl, Daniyal Kazempour, Johannes-Y. Lohrer, 2018, SSDBM.

Subspace anytime stream clustering

Rajveer Saini, Thomas Seidl, Marwan Hassani, 2014, SSDBM '14.

Fuzzy Multi-Resolution Image Similarity Modeling applied to Image Retrieval

Kaoru Hirota, Thomas Seidl, Yutaka Hatakeyama, 2006 .

IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS

Thomas Seidl, Christoph Brochhaus, 2008, SSDBM.

3D Shape Histograms for Similarity Search and Classification in Spatial Databases

Hans-Peter Kriegel, Thomas Seidl, Mihael Ankerst, 1999, SSD.

Hans-Peter Kriegel, Thomas Seidl, Karin Murthy, 2004, Proceedings. 20th International Conference on Data Engineering.

Hans-Peter Kriegel, Peer Kröger, Thomas Seidl, 2006 .

Towards Named-Entity-based Similarity Measures: Challenges and Opportunities

Wesley De Neve, Rik Van de Walle, Erik Mannens, 2014, ESAIR '14.

RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs

Holger Hoffmann, Thomas Seidl, Stephan Günnemann, 2013, SSDBM.

Orderings of Data - More Than a Tripping Hazard: Visionary

Thomas Seidl, Anna Beer, Valentin Hartmann, 2020, SSDBM.

Active Learning for Argument Strength Estimation pdf

Thomas Seidl, Evgeniy Faerman, Michael Fromm, 2021, INSIGHTS.

AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval

Peer Kröger, Thomas Seidl, Maximilian Archimedes Xaver Hünemörder, 2021, LWDA.

Compound Segmentation via Clustering on Mol2Vec-based Embeddings

Peer Kröger, Thomas Seidl, Daniyal Kazempour, 2021, 2021 IEEE 17th International Conference on eScience (eScience).

Adaptive Multi-Resolution Attention with Linear Complexity pdf

Thomas Seidl, Volker Tresp, Yunpu Ma, 2021, ArXiv.

Self-Organizing Energy Aware Clustering of Nodes in Sensor Networks Using Relevant Attributes

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2010 .

Employing correlation clustering for the identification of piecewise affine models

Thomas Seidl, Dirk Abel, Thivaharan Albin, 2011, KDMS '11.

Poster : Cascading Components for Efficient Querying of Similarity-Based Visualizations

Thomas Seidl, Christian Beecks, Sascha Wiedenfeld, 2010 .