Thomas Seidl - RankMe

419 papers A* 43A 27B 84C 9Misc 16Journal 81Unranked 146

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DCMatchBoosted - improving deep clustering by architecture recommendation. Int. J. Data Sci. Anal. Mamdouh Aljoud, Gabriel Marques Tavares, Collin Leiber, Thomas Seidl
2026	—	`conf`	PRSM: A Measure to Evaluate CLIP's Robustness Against Paraphrases. MMM (4) Udo Schlegel, Franziska Weeber, Jian Lan, Thomas Seidl
2026	J	`jnl`	What-If Explanations Over Time: Counterfactuals for Time Series Classification. CoRR Udo Schlegel, Thomas Seidl
2025	J	`jnl`	AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction. CoRR Gengyuan Zhang, Tanveer Hannan, Hermine Kleiner, Beste Aydemir, Xinyu Xie, Jian Lan, Thomas Seidl, Volker Tresp, Jindong Gu
2025	A	`conf`	BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction. BPM Simon Rauch, Christian M. M. Frey, Andrea Maldonado, Thomas Seidl
2025	—	`conf`	DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning. PAKDD (1) Mamdouh Aljoud, Gabriel Marques Tavares, Collin Leiber, Thomas Seidl
2025	J	`jnl`	DocSLM: A Small Vision-Language Model for Long Multimodal Document Understanding. CoRR Tanveer Hannan, Dimitrios Mallios, Parth Pathak, Faegheh Sardari, Thomas Seidl, Gedas Bertasius, Mohsen Fayyaz, Sunando Sengupta
2025	J	`jnl`	Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach. CoRR Han Yang, Jian Lan, Yihong Liu, Hinrich Schütze, Thomas Seidl
2025	—	`conf`	Going Offline: An Evaluation of the Offline Phase in Stream Clustering. ECML/PKDD (7) Philipp Jahn, Walid Durani, Collin Leiber, Anna Beer, Thomas Seidl
2025	J	`jnl`	Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering. CoRR Jian Lan, Zhicheng Liu, Udo Schlegel, Raoyuan Zhao, Yihong Liu, Hinrich Schütze, Michael A. Hedderich, Thomas Seidl
2025	A*	`conf`	MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection. ICDM Walid Durani, Philipp Jahn, Thomas Seidl, Claudia Plant, Christian Böhm
2025	J	`jnl`	My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals. CoRR Jian Lan, Yifei Fu, Udo Schlegel, Gengyuan Zhang, Tanveer Hannan, Haokun Chen, Thomas Seidl
2025	J	`jnl`	PRSM: A Measure to Evaluate CLIP's Robustness Against Paraphrases. CoRR Udo Schlegel, Franziska Weeber, Jian Lan, Thomas Seidl
2025	A*	`conf`	ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. CVPR Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius
2025	B	`conf`	SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms. ICPM Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl
2025	J	`jnl`	SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms. CoRR Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl
2025	J	`jnl`	SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding. CoRR Tanveer Hannan, Shuaicong Wu, Mark Weber, Suprosanna Shit, Jindong Gu, Rajat Koner, Aljosa Osep, Laura Leal-Taixé, Thomas Seidl
2025	J	`jnl`	Towards Explainable Deep Clustering for Time Series Data. CoRR Udo Schlegel, Gabriel Marques Tavares, Thomas Seidl
2025	C	`conf`	Towards Trace Variant Explainability. ADBIS Iuliana Malina Grigore, Gabriel Marques Tavares, Vincenzo Pasquadibisceglie, Thomas Seidl, Sylvio Barbon Junior
2025	J	`jnl`	When and Where do Events Switch in Multi-Event Video Generation? CoRR Ruotong Liao, Guowen Huang, Qing Cheng, Thomas Seidl, Daniel Cremers, Volker Tresp
2024	J	`jnl`	ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. CoRR Valentin Margraf, Marcel Wever, Sandra Gilhuber, Gabriel Marques Tavares, Thomas Seidl, Eyke Hüllermeier
2024	A*	`conf`	Autoregressive Policy Optimization for Constrained Allocation Tasks. NeurIPS David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert
2024	J	`jnl`	Autoregressive Policy Optimization for Constrained Allocation Tasks. CoRR David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert
2024	—	`conf`	CC-HIT: Creating Counterfactuals from High-Impact Transitions. ICPM Workshops Zhicong Xian, Ludwig Zellner, Gabriel Marques Tavares, Thomas Seidl
2024	—	`conf`	Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. ECML/PKDD (7) Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber, Thomas Seidl
2024	—	`conf`	Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters. ICDM (Workshops) Collin Leiber, Niklas Strauß, Matthias Schubert, Thomas Seidl
2024	J	`jnl`	Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters. CoRR Collin Leiber, Niklas Strauß, Matthias Schubert, Thomas Seidl
2024	—	`conf`	FALCUN: A Simple and Efficient Deep Active Learning Strategy. ECML/PKDD (3) Sandra Gilhuber, Anna Beer, Yunpu Ma, Thomas Seidl
2024	A	`conf`	GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining. BPM Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl
2024	—	`conf`	GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation. ICPR (16) Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl
2024	—	`conf`	On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises. PAKDD (5) Ludwig Zellner, Simon Rauch, Janina Sontheim, Thomas Seidl
2024	B	`conf`	Process-Aware Bayesian Networks for Sequential Event Log Queries. ICPM Simon Rauch, Christian M. M. Frey, Ludwig Zellner, Thomas Seidl
2024	—	`conf`	RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos. ECCV (21) Tanveer Hannan, Md Mohaiminul Islam, Thomas Seidl, Gedas Bertasius
2024	J	`jnl`	ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. CoRR Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius
2024	J	`jnl`	Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. CoRR David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl
2024	—	`conf`	iGEDI: interactive Generating Event Data with Intentional Features. ICPM Doctoral Consortium / Demo Andrea Maldonado, Sai Anirudh Aryasomayajula, Christian M. M. Frey, Thomas Seidl
2023	B	`conf`	Adaptive Multi-Resolution Attention with Linear Complexity. IJCNN Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
2023	—	`conf`	Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. PAKDD (2) David Winkel, Niklas Strauß, Matthias Schubert, Yunpu Ma, Thomas Seidl
2023	—	`conf`	Cross-Domain Argument Quality Estimation. ACL (Findings) Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl
2023	—	`conf`	DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. ECML/PKDD (1) Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl
2023	J	`jnl`	DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. CoRR Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl
2023	—	`conf`	FEEED: Feature Extraction from Event Data. ICPM Doctoral Consortium / Demo Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl
2023	J	`jnl`	GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. CoRR Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl
2023	J	`jnl`	How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning. CoRR Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok, Thomas Seidl
2023	—	`conf`	How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning. ECML/PKDD (2) Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok, Thomas Seidl
2023	A*	`conf`	InstanceFormer: An Online Video Instance Segmentation Framework. AAAI Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp
2023	J	`jnl`	Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study. Adv. Data Anal. Classif. Theresa Ullmann, Anna Beer, Maximilian Hünemörder, Thomas Seidl, Anne-Laure Boulesteix
2023	—	`conf`	Process Mining Techniques for Collusion Detection in Online Exams. ICPM Workshops Andrea Maldonado, Ludwig Zellner, Sven Strickroth, Thomas Seidl
2023	J	`jnl`	RGNet: A Unified Retrieval and Grounding Network for Long Videos. CoRR Tanveer Hannan, Md Mohaiminul Islam, Thomas Seidl, Gedas Bertasius
2023	A	`conf`	Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. ECAI David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl
2022	—	`conf`	Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations. IAL@PKDD/ECML Sandra Gilhuber, Max Berrendorf, Yunpu Ma, Thomas Seidl
2022	J	`jnl`	InstanceFormer: An Online Video Instance Segmentation Framework. CoRR Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp
2022	—	`conf`	Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. ECML/PKDD (6) David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl
2022	J	`jnl`	SCAR - Spectral Clustering Accelerated and Robustified. Proc. VLDB Endow. Ellen Hohma, Christian M. M. Frey, Anna Beer, Thomas Seidl
2022	J	`jnl`	Towards a Holistic View on Argument Quality Prediction. CoRR Michael Fromm, Max Berrendorf, Johanna Reiml, Isabelle Mayerhofer, Siddharth Bhargava, Evgeniy Faerman, Thomas Seidl
2022	A*	`conf`	VERIPS: Verified Pseudo-label Selection for Deep Active Learning. ICDM Sandra Gilhuber, Philipp Jahn, Yunpu Ma, Thomas Seidl
2021	J	`jnl`	Active Learning for Argument Strength Estimation. CoRR Nataliia Kees, Michael Fromm, Evgeniy Faerman, Thomas Seidl
2021	J	`jnl`	Adaptive Multi-Resolution Attention with Linear Complexity. CoRR Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
2021	—	`conf`	AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval. LWDA Andreas Lohrer, Anna Beer, Maximilian Archimedes Xaver Hünemörder, Jenny Lauterbach, Thomas Seidl, Peer Kröger
2021	A*	`conf`	Argument Mining Driven Analysis of Peer-Reviews. AAAI Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
2021	Misc	`conf`	Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering. BTW Sandra Obermeier, Anna Beer, Florian Wahl, Thomas Seidl
2021	B	`conf`	Compound Segmentation via Clustering on Mol2Vec-based Embeddings. e-Science Daniyal Kazempour, Anna Beer, Melanie Oelker, Peer Kröger, Thomas Seidl
2021	—	`conf`	Diversity Aware Relevance Learning for Argument Search. ECIR (2) Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
2021	—	`conf`	Implicit Hough Transform Neural Networks for Subspace Clustering. ICDM (Workshops) Julian Busch, Maximilian Hünemörder, Janis Held, Peer Kröger, Thomas Seidl
2021	B	`conf`	KISS - A fast kNN-based Importance Score for Subspaces. EDBT Anna Beer, Ekaterina Allerborn, Valentin Hartmann, Thomas Seidl
2021	—	`conf`	LUCKe - Connecting Clustering and Correlation Clustering. ICDM (Workshops) Anna Beer, Lisa Stephan, Thomas Seidl
2021	B	`conf`	NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. SSDBM Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl
2021	J	`jnl`	NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. CoRR Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl
2021	J	`jnl`	On Methods and Measures for the Inspection of Arbitrarily Oriented Subspace Clusters. Datenbank-Spektrum Daniyal Kazempour, Johannes Winter, Peer Kröger, Thomas Seidl
2021	—	`conf`	PErrCas: Process Error Cascade Mining in Trace Streams. ICPM Workshops Anna Wimbauer, Florian Richter, Thomas Seidl
2021	—	`ed.`	Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021. LWDA Thomas Seidl, Michael Fromm, Sandra Obermeier
2021	—	`conf`	SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size. ICDM (Workshops) Ludwig Zellner, Janina Sontheim, Florian Richter, Gabriel Lindner, Thomas Seidl
2020	J	`jnl`	"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS. Data Sci. Eng. Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
2020	—	`conf`	AMTICS: Aligning Micro-clusters to Identify Cluster Structures. DASFAA (1) Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
2020	B	`conf`	Angle-Based Clustering. SISAP Anna Beer, Dominik Seeholzer, Nadine Sarah Schüler, Thomas Seidl
2020	J	`jnl`	Argument Mining Driven Analysis of Peer-Reviews. CoRR Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
2020	—	`conf`	Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation. ICPM Workshops Ludwig Zellner, Florian Richter, Janina Sontheim, Andrea Maldonado, Thomas Seidl
2020	—	`conf`	Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform. PAKDD (1) Felix Borutta, Daniyal Kazempour, Felix Mathy, Peer Kröger, Thomas Seidl
2020	J	`jnl`	Diversity Aware Relevance Learning for Argument Search. CoRR Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
2020	—	`ch.`	Efficient Infrequent Pattern Mining Using Negative Itemset Tree. Complex Pattern Mining Yifeng Lu, Florian Richter, Thomas Seidl
2020	—	`conf`	Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data. LWDA Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, Thomas Seidl
2020	—	`conf`	I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. ICDM (Workshops) Daniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl
2020	C	`conf`	KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection. iiWAS Yao Zhang, Yifeng Lu, Thomas Seidl
2020	B	`conf`	Keynote Data Mining on Process Data. ICPM Thomas Seidl
2020	—	`conf`	Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR (2) Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
2020	J	`jnl`	Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering. CoRR Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl
2020	—	`conf`	Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. CIKM (Workshops) Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
2020	J	`jnl`	Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels. CoRR Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
2020	—	`conf`	OTOSO: Online Trace Ordering for Structural Overviews. ICPM Workshops Florian Richter, Andrea Maldonado, Ludwig Zellner, Thomas Seidl
2020	B	`conf`	Orderings of Data - More Than a Tripping Hazard: Visionary. SSDBM Anna Beer, Valentin Hartmann, Thomas Seidl
2020	—	`conf`	Performance Skyline: Inferring Process Performance Models from Interval Events. ICPM Workshops Andrea Maldonado, Janina Sontheim, Florian Richter, Thomas Seidl
2020	A	`conf`	PushNet: Efficient and Adaptive Neural Message Passing. ECAI Julian Busch, Jiaxing Pi, Thomas Seidl
2020	J	`jnl`	PushNet: Efficient and Adaptive Neural Message Passing. CoRR Julian Busch, Jiaxing Pi, Thomas Seidl
2020	J	`jnl`	Relational and Fine-Grained Argument Mining. Datenbank-Spektrum Dietrich Trautmann, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze
2020	A	`conf`	TADE: Stochastic Conformance Checking Using Temporal Activity Density Estimation. BPM Florian Richter, Janina Sontheim, Ludwig Zellner, Thomas Seidl
2020	B	`conf`	TOAD: Trace Ordering for Anomaly Detection. ICPM Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl
2020	—	`conf`	Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering. ICDM (Workshops) Daniyal Kazempour, Peer Kröger, Thomas Seidl
2020	—	`conf`	You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters. ICDM (Workshops) Daniyal Kazempour, Long Mathias Yan, Peer Kröger, Thomas Seidl
2020	B	`conf`	k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. IJCNN Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl
2019	B	`conf`	A Galaxy of Correlations. EDBT Daniyal Kazempour, Lisa Krombholz, Peer Kröger, Thomas Seidl
2019	—	`conf`	A Generator for Subspace Clusters. LWDA Anna Beer, Nadine Sarah Schüler, Thomas Seidl
2019	—	`conf`	CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA. LWDA Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl
2019	J	`jnl`	Chain-detection Between Clusters. Datenbank-Spektrum Janis Held, Anna Beer, Thomas Seidl
2019	—	`conf`	Chain-detection for DBSCAN. BTW (Workshops) Janis Held, Anna Beer, Thomas Seidl
2019	—	`conf`	Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents. LWDA Daniyal Kazempour, Anna Beer, Oliver Schrüfer, Thomas Seidl
2019	Misc	`conf`	DICE: Density-based Interactive Clustering and Exploration. BTW Daniyal Kazempour, Maksim Kazakov, Peer Kröger, Thomas Seidl
2019	—	`conf`	Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data. HCI (34) Daniyal Kazempour, Anna Beer, Thomas Seidl
2019	B	`conf`	Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform. SSDBM Daniyal Kazempour, Kilian Emmerig, Peer Kröger, Thomas Seidl
2019	J	`jnl`	Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm. Distributed Parallel Databases Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl
2019	—	`conf`	From Covariance to Comode in context of Principal Component Analysis. LWDA Daniyal Kazempour, Long Mathias Yan, Thomas Seidl
2019	B	`conf`	Graph Ordering and Clustering: A Circular Approach. SSDBM Anna Beer, Thomas Seidl
2019	—	`conf`	Human Learning in Data Science. HCI (34) Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl
2019	B	`conf`	Insights into a running clockwork: On interactive process-aware clustering. EDBT Daniyal Kazempour, Thomas Seidl
2019	J	`jnl`	Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. CoRR Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl
2019	—	`conf`	LIProMa: Label-Independent Process Matching. Business Process Management Workshops Florian Richter, Ludwig Zellner, Imen Azaiz, David Winkel, Thomas Seidl
2019	B	`conf`	LSCMiner: Efficient Low Support Closed Itemsets Mining. WISE Yifeng Lu, Florian Richter, Thomas Seidl
2019	B	`conf`	LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function. SSDBM Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl
2019	J	`jnl`	Looking into the TESSERACT: Time-drifts in event streams using series of evolving rolling averages of completion times. Inf. Syst. Florian Richter, Thomas Seidl
2019	B	`conf`	MORe++: k-Means Based Outlier Removal on High-Dimensional Data. SISAP Anna Beer, Jennifer Lauterbach, Thomas Seidl
2019	—	`conf`	Model-Aware Clustering of Non-conforming Traces. OTM Conferences Florian Richter, Ludwig Zellner, Janina Sontheim, Thomas Seidl
2019	B	`conf`	On coMADs and Principal Component Analysis. SISAP Daniyal Kazempour, Max Hünemörder, Thomas Seidl
2019	B	`conf`	On systematic hyperparameter analysis through the example of subspace clustering. SSDBM Daniyal Kazempour, Thomas Seidl
2019	B	`conf`	Rock - Let the points roam to their clusters themselves. EDBT Anna Beer, Daniyal Kazempour, Thomas Seidl
2019	B	`conf`	SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. SISAP Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl
2019	B	`conf`	TACAM: Topic And Context Aware Argument Mining. WI Michael Fromm, Evgeniy Faerman, Thomas Seidl
2019	J	`jnl`	TACAM: Topic And Context Aware Argument Mining. CoRR Michael Fromm, Evgeniy Faerman, Thomas Seidl
2019	—	`conf`	Temporal Deviations on Event Sequences. LWDA Janina Sontheim, Florian Richter, Thomas Seidl
2019	—	`conf`	k-process: Model-Conformance-based Clustering of Process Instances. LWDA Florian Richter, Florian Wahl, Alona Sydorova, Thomas Seidl
2018	B	`conf`	D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space. SISAP Daniyal Kazempour, Kevin Bein, Peer Kröger, Thomas Seidl
2018	J	`jnl`	Data Science: a proposal for a curriculum. Int. J. Data Sci. Anal. Göran Kauermann, Thomas Seidl
2018	—	`conf`	Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal. DASFAA (1) Yifeng Lu, Florian Richter, Thomas Seidl
2018	—	`conf`	FATBIRD: A Tool for Flight and Trajectories Analyses of Birds. eScience Daniyal Kazempour, Anna Beer, Friederike Herzog, Daniel Kaltenthaler, Johannes-Y. Lohrer, Thomas Seidl
2018	—	`conf`	Identifying Entangled Data Points on Iteration Trajectories of Clusterings. LWDA Daniyal Kazempour, Thomas Seidl
2018	—	`conf`	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. LWDA Daniyal Kazempour, Andrian Mörtlbauer, Peer Kröger, Thomas Seidl
2018	—	`ch.`	Nearest Neighbor Classification. Encyclopedia of Database Systems (2nd ed.) Thomas Seidl
2018	B	`conf`	PARADISO: an interactive approach of parameter selection for the mean shift algorithm. SSDBM Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl
2018	B	`conf`	Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing. DSAA Yifeng Lu, Thomas Seidl
2017	J	`jnl`	Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action. Digit. Humanit. Q. Daniel Schüller, Christian Beecks, Marwan Hassani, Jennifer Hinnell, Bela Brenger, Thomas Seidl, Irene Mittelberg
2017	B	`conf`	Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform. SSDBM Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl
2017	B	`conf`	Fast Similarity Search with the Earth Mover's Distance via Feasible Initialization and Pruning. SISAP Merih Seran Uysal, Kai Driessen, Tobias Brockhoff, Thomas Seidl
2017	B	`conf`	Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering. SSDBM Yifeng Lu, Marwan Hassani, Thomas Seidl
2017	J	`jnl`	MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels. Knowl. Inf. Syst. Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
2017	—	`conf`	Multimedia Similarity Search. BTW (Workshops) Thomas Seidl
2017	B	`ed.`	Similarity Search and Applications - 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings SISAP Christian Beecks, Felix Borutta, Peer Kröger, Thomas Seidl
2017	A	`conf`	TESSERACT: Time-Drifts in Event Streams Using Series of Evolving Rolling Averages of Completion Times. BPM Florian Richter, Thomas Seidl
2017	Misc	`conf`	Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction. SAC Marwan Hassani, Daniel Töws, Thomas Seidl
2017	J	`jnl`	Using internal evaluation measures to validate the quality of diverse stream clustering algorithms. Vietnam. J. Comput. Sci. Marwan Hassani, Thomas Seidl
2016	—	`conf`	A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs. ICSC Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle
2016	B	`conf`	A geometric approach for mining sequential patterns in interval-based data streams. FUZZ-IEEE Marwan Hassani, Yifeng Lu, Jens Wischnewsky, Thomas Seidl
2016	—	`conf`	Approximation-Based Efficient Query Processing with the Earth Mover's Distance. DASFAA (2) Merih Seran Uysal, Daniel Sabinasz, Thomas Seidl
2016	J	`jnl`	Clustering Big Data streams: recent challenges and contributions. it Inf. Technol. Marwan Hassani, Thomas Seidl
2016	—	`conf`	Content-based retrieval in videos from laparoscopic surgery. Image-Guided Procedures Klaus Schoeffmann, Christian Beecks, Mathias Lux, Merih Seran Uysal, Thomas Seidl
2016	A*	`conf`	Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. ICDM Erik Scharwächter, Emmanuel Müller, Jonathan F. Donges, Marwan Hassani, Thomas Seidl
2016	B	`conf`	Distance-based Multimedia Indexing. EDBT Christian Beecks, Merih Seran Uysal, Thomas Seidl
2016	—	`conf`	Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data. HCI (4) Laurens De Vocht, Christian Beecks, Ruben Verborgh, Erik Mannens, Thomas Seidl, Rik Van de Walle
2016	J	`jnl`	Efficient Query Processing in 3D Motion Capture Gesture Databases. Int. J. Semantic Comput. Christian Beecks, Marwan Hassani, Bela Brenger, Jennifer Hinnell, Daniel Schüller, Irene Mittelberg, Thomas Seidl
2016	B	`conf`	Efficient Query Processing using the Earth's Mover Distance in Video Databases. EDBT Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Jochen Schmücking, Thomas Seidl
2016	B	`conf`	I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools. CCGrid Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl
2016	A	`conf`	Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSN. SDM Roland Assam, Subramanyam Sathyanarayana, Thomas Seidl
2016	B	`conf`	Normalized Semantic Web Distance. ESWC Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle
2016	B	`conf`	Towards an Efficient Ranking of Interval-Based Patterns. EDBT Marwan Hassani, Yifeng Lu, Thomas Seidl
2015	—	`conf`	Adaptive Stream Clustering Using Incremental Graph Maintenance. BigMine Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl
2015	Misc	`conf`	Big Data-Zentren - Vorstellung und Panel. BTW Volker Markl, Erhard Rahm, Wolfgang Lehner, Michael Beigl, Thomas Seidl
2015	—	`conf`	Content-Based Image Retrieval with Gaussian Mixture Models. MMM (1) Christian Beecks, Merih Seran Uysal, Thomas Seidl
2015	Misc	`ed.`	Datenbanksysteme für Business, Technologie und Web (BTW), 16. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 4.-6.3.2015 in Hamburg, Germany. Proceedings BTW Thomas Seidl, Norbert Ritter, Harald Schöning, Kai-Uwe Sattler, Theo Härder, Steffen Friedrich, Wolfram Wingerath
2015	—	`conf`	Distance-based Multimedia Indexing. BTW Workshops Christian Beecks, Merih Seran Uysal, Thomas Seidl
2015	C	`conf`	Earth Mover's Distance vs. Quadratic form Distance: An Analytical and Empirical Comparison. ISM Christian Beecks, Merih Seran Uysal, Thomas Seidl
2015	C	`conf`	Effective Content-Based Near-Duplicate Video Detection. ISM Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl
2015	—	`conf`	Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases. ICDM Workshops Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl
2015	—	`conf`	Efficient Process Discovery From Event Streams Using Sequential Pattern Mining. SSCI Marwan Hassani, Sergio Siccha, Florian Richter, Thomas Seidl
2015	C	`conf`	Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance. ISM Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl
2015	B	`conf`	Efficient similarity search in scientific databases with feature signatures. SSDBM Merih Seran Uysal, Christian Beecks, Jochen Schmücking, Thomas Seidl
2015	C	`conf`	Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments. ISM Christian Beecks, Klaus Schoeffmann, Mathias Lux, Merih Seran Uysal, Thomas Seidl
2015	B	`conf`	FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover's Distance. SISAP Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl
2015	A	`conf`	Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases. CIKM Christian Beecks, Merih Seran Uysal, Judith Hermanns, Thomas Seidl
2015	—	`conf`	Gradient-based signatures for big multimedia data. IEEE BigData Christian Beecks, Merih Seran Uysal, Thomas Seidl
2015	—	`conf`	Improving Semantic Relatedness in Paths for Storytelling with Linked Data on the Web. ESWC (Satellite Events) Laurens De Vocht, Christian Beecks, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle
2015	—	`conf`	Internal Clustering Evaluation of Data Streams. PAKDD Workshops Marwan Hassani, Thomas Seidl
2015	—	`conf`	Large-scale Efficient and Effective Video Similarity Search. LSDS-IR@CIKM Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl
2015	—	`conf`	Mining Sequential Patterns of Event Streams in a Smart Home Application. LWA Marwan Hassani, Christian Beecks, Daniel Töws, Thomas Seidl
2015	J	`jnl`	MultiClust special issue on discovering, summarizing and using multiple clusterings. Mach. Learn. Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy
2015	C	`conf`	On efficient content-based near-duplicate video detection. CBMI Merih Seran Uysal, Christian Beecks, Thomas Seidl
2015	—	`conf`	Optimizing Sequential Pattern Mining Within Multiple Streams. BTW Workshops Daniel Töws, Marwan Hassani, Christian Beecks, Thomas Seidl
2015	—	`conf`	Parallel Density-Based Stream Clustering Using a Multi-user GPU Scheduler. BDAS Ayman Tarakji, Marwan Hassani, Lyubomir Georgiev, Thomas Seidl, Rainer Leupers
2015	Misc	`conf`	Sequential Pattern Mining of Multimodal Streams in the Humanities. BTW Marwan Hassani, Christian Beecks, Daniel Töws, Tatiana Serbina, Max Haberstroh, Paula Niemietz, Sabina Jeschke, Stella Neumann, Thomas Seidl
2015	B	`conf`	Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams. SSTD Christian Beecks, Marwan Hassani, Jennifer Hinnell, Daniel Schüller, Bela Brenger, Irene Mittelberg, Thomas Seidl
2015	B	`conf`	Subspace Nearest Neighbor Search - Problem Statement, Approaches, and Discussion - Position Paper. SISAP Michael Hund, Michael Behrisch, Ines Färber, Michael Sedlmair, Tobias Schreck, Thomas Seidl, Daniel A. Keim
2015	J	`jnl`	Subspace clustering of data streams: new algorithms and effective evaluation measures. J. Intell. Inf. Syst. Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
2015	—	`conf`	UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN. ECML/PKDD (3) Roland Assam, Simon Feiden, Thomas Seidl
2014	B	`conf`	(k, d)-core anonymity: structural anonymization of massive networks. SSDBM Roland Assam, Marwan Hassani, Michael Brysch, Thomas Seidl
2014	B	`conf`	Activity recognition from sensors using dyadic wavelets and Hidden Markov Model. WiMob Roland Assam, Thomas Seidl
2014	—	`conf`	Adaptive Multiple-Resolution Stream Clustering. MLDM Marwan Hassani, Pascal Spaus, Thomas Seidl
2014	A*	`conf`	Check-in Location Prediction Using Wavelets and Conditional Random Fields. ICDM Roland Assam, Thomas Seidl
2014	B	`conf`	Context-based location clustering and prediction using conditional random fields. MUM Roland Assam, Thomas Seidl
2014	—	`conf`	Density-Based Subspace Clustering in Heterogeneous Networks. ECML/PKDD (1) Brigitte Boden, Martin Ester, Thomas Seidl
2014	—	`conf`	Effective Map Matching Using Curve Tangents and Hidden Markov Model. MSN Roland Assam, Thomas Seidl
2014	A	`conf`	Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures. CIKM Merih Seran Uysal, Christian Beecks, Jochen Schmücking, Thomas Seidl
2014	—	`conf`	Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering. DASFAA Workshops Marwan Hassani, Thomas Seidl
2014	J	`jnl`	GAMer: a synthesis of subspace clustering and dense subgraph mining. Knowl. Inf. Syst. Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl
2014	B	`conf`	Inverse predictions on continuous models in scientific databases. SSDBM Anca Maria Zimmer, Philip Driessen, Philipp Kranen, Thomas Seidl
2014	J	`jnl`	KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks. CoRR Stephan Günnemann, Hardy Kremer, Matthias Hannen, Thomas Seidl
2014	—	`ch.`	Machining Intelligence Network: Data Mining and Semantic Search in Manufacturing Industry. Towards the Internet of Services Ines Färber, Sergej Fries, Götz Marczinski, Thomas Seidl, Nils-Per Steinmann
2014	—	`conf`	Near-Optimal Activity Prediction through Efficient Wavelet Modulus Maxima Partitioning and Conditional Random Fields. UIC/ATC/ScalCom Roland Assam, Thomas Seidl
2014	—	`conf`	On Efficient Query Processing with the Earth Mover's Distance. PIKM@CIKM Merih Seran Uysal, Christian Beecks, Thomas Seidl
2014	J	`jnl`	On stability of signature-based similarity measures for content-based image retrieval. Multim. Tools Appl. Christian Beecks, Steffen Kirchhoff, Thomas Seidl
2014	—	`conf`	On the Stability of Signature-Based Distance Functions for Content-Based Image Retrieval. LWA Christian Beecks, Steffen Kirchhoff, Thomas Seidl
2014	A*	`conf`	PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce. ICDE Sergej Fries, Brigitte Boden, Grzegorz Stepien, Thomas Seidl
2014	—	`conf`	Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System. PAKDD Workshops Marwan Hassani, Ayman Tarakji, Lyubomir Georgiev, Thomas Seidl
2014	—	`conf`	Prediction of freezing of gait from Parkinson's Disease movement time series using conditional random fields. HealthGIS Roland Assam, Thomas Seidl
2014	—	`ed.`	Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014. LWA Thomas Seidl, Marwan Hassani, Christian Beecks
2014	B	`conf`	Projected Clustering for Huge Data Sets in MapReduce. EDBT Sergej Fries, Stephan Wels, Thomas Seidl
2014	A*	`conf`	SMVC: semi-supervised multi-view clustering in subspace projections. KDD Stephan Günnemann, Ines Färber, Matthias Sebastian Rüdiger, Thomas Seidl
2014	B	`conf`	Subspace anytime stream clustering. SSDBM Marwan Hassani, Philipp Kranen, Rajveer Saini, Thomas Seidl
2014	—	`conf`	The Normalized Freebase Distance. ESWC (Satellite Events) Fréderic Godin, Tom De Nies, Christian Beecks, Laurens De Vocht, Wesley De Neve, Erik Mannens, Thomas Seidl, Rik Van de Walle
2014	—	`conf`	Towards Named-Entity-based Similarity Measures: Challenges and Opportunities. ESAIR Tom De Nies, Christian Beecks, Wesley De Neve, Thomas Seidl, Erik Mannens, Rik Van de Walle
2013	—	`conf`	A Model for Context-Aware Location Identity Preservation Using Differential Privacy. TrustCom/ISPA/IUCC Roland Assam, Thomas Seidl
2013	A*	`conf`	Adaptive Model Tree for Streaming Data. ICDM Anca Maria Zimmer, Michael Kurze, Thomas Seidl
2013	—	`conf`	An Evaluation Framework for Temporal Subspace Clustering Approaches. ICDM Workshops Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl
2013	—	`conf`	BodyGuards: A Clairvoyant Location Predictor Using Frequent Neighbors and Markov Model. UIC/ATC Roland Assam, Thomas Seidl
2013	—	`conf`	Bone age assessment using support vector regression with smart class mapping. Computer-Aided Diagnosis Daniel Haak, Jing Yu, Hendrik Simon, Hauke Schramm, Thomas Seidl, Thomas M. Deserno
2013	C	`conf`	Content-based exploration of multimedia databases. CBMI Christian Beecks, Merih Seran Uysal, Philip Driessen, Thomas Seidl
2013	J	`jnl`	Datenmanagement und -exploration an der RWTH Aachen. Datenbank-Spektrum Thomas Seidl
2013	A	`conf`	Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform. CIKM Brigitte Boden, Roman Haag, Thomas Seidl
2013	—	`conf`	Effective Evaluation Measures for Subspace Clustering of Data Streams. PAKDD Workshops Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
2013	—	`conf`	Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. PAKDD (1) Stephan Günnemann, Brigitte Boden, Ines Färber, Thomas Seidl
2013	—	`conf`	HealthNet: A System for Mobile and Wearable Health Information Management. IMMoA Christoph Quix, Johannes Barnickel, Sandra Geisler, Marwan Hassani, Saim Kim, Xiang Li, Andreas Lorenz, Till Quadflieg, Thomas Gries, Matthias Jarke, Steffen Leonhardt, Ulrike Meyer, Thomas Seidl
2013	Misc	`conf`	MR-DSJ: Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. BTW Thomas Seidl, Sergej Fries, Brigitte Boden
2013	B	`conf`	Nesting the earth mover's distance for effective cluster tracing. SSDBM Hardy Kremer, Stephan Günnemann, Simon Wollwage, Thomas Seidl
2013	—	`conf`	Private Map Matching: Realistic Private Route Cognition on Road Networks. UIC/ATC Roland Assam, Thomas Seidl
2013	B	`conf`	RMiCS: a robust approach for mining coherent subgraphs in edge-labeled multi-layer graphs. SSDBM Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
2013	B	`conf`	Signature matching distance for content-based image retrieval. ICMR Christian Beecks, Steffen Kirchhoff, Thomas Seidl
2013	A*	`conf`	Spectral Subspace Clustering for Graphs with Feature Vectors. ICDM Stephan Günnemann, Ines Färber, Sebastian Raubach, Thomas Seidl
2013	J	`jnl`	Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment. IEEE J. Biomed. Health Informatics Markus Harmsen, Benedikt Fischer, Hauke Schramm, Thomas Seidl, Thomas Martin Deserno
2013	—	`conf`	Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data. ICCSA (5) Ayman Tarakji, Marwan Hassani, Stefan Lankes, Thomas Seidl
2012	—	`ed.`	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. MultiClust@SDM Emmanuel Müller, Thomas Seidl, Suresh Venkatasubramanian, Arthur Zimek
2012	—	`conf`	A Subspace Clustering Extension for the KNIME Data Mining Framework. ICDM Workshops Stephan Günnemann, Hardy Kremer, Richard Musiol, Roman Haag, Thomas Seidl
2012	A	`conf`	A tool for automated evaluation of algorithms. CIKM Philipp Kranen, Stephan Wels, Tim Rohlfs, Sebastian Raubach, Thomas Seidl
2012	J	`jnl`	An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. Datenbank-Spektrum Philipp Kranen, Ira Assent, Thomas Seidl
2012	—	`conf`	AnyOut: Anytime Outlier Detection on Streaming Data. DASFAA (1) Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl
2012	B	`conf`	BT* - An Advanced Algorithm for Anytime Classification. SSDBM Philipp Kranen, Marwan Hassani, Thomas Seidl
2012	—	`conf`	CC-MR - Finding Connected Components in Huge Graphs with MapReduce. ECML/PKDD (1) Thomas Seidl, Brigitte Boden, Sergej Fries
2012	—	`conf`	Density-Based Projected Clustering of Data Streams. SUM Marwan Hassani, Pascal Spaus, Mohamed Medhat Gaber, Thomas Seidl
2012	C	`conf`	Differential Private Trajectory Obfuscation. MobiQuitous Roland Assam, Marwan Hassani, Thomas Seidl
2012	—	`conf`	Differential private trajectory protection of moving objects. IWGS@SIGSPATIAL/GIS Roland Assam, Marwan Hassani, Thomas Seidl
2012	A*	`conf`	Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDE Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl
2012	J	`jnl`	Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise. J. Digit. Inf. Manag. Marwan Hassani, Thomas Seidl
2012	A*	`conf`	Effective and Robust Mining of Temporal Subspace Clusters. ICDM Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl
2012	—	`conf`	Employing the Principal Hessian Direction for Building Hinging Hyperplane Models. ICDM Workshops Anca Maria Ivanescu, Thivaharan Albin, Dirk Abel, Thomas Seidl
2012	J	`jnl`	Finding density-based subspace clusters in graphs with feature vectors. Data Min. Knowl. Discov. Stephan Günnemann, Brigitte Boden, Thomas Seidl
2012	B	`conf`	Hinging Hyperplane Models for Multiple Predicted Variables. SSDBM Anca Maria Ivanescu, Philipp Kranen, Thomas Seidl
2012	J	`jnl`	Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). Dagstuhl Reports Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel
2012	A*	`conf`	Mining coherent subgraphs in multi-layer graphs with edge labels. KDD Brigitte Boden, Stephan Günnemann, Holger Hoffmann, Thomas Seidl
2012	—	`conf`	Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. PAKDD (1) Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl
2012	A*	`conf`	Multi-view clustering using mixture models in subspace projections. KDD Stephan Günnemann, Ines Färber, Thomas Seidl
2012	B	`conf`	On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval. MMM Christian Beecks, Thomas Seidl
2012	—	`conf`	PA-Miner: Process Analysis Using Retrieval, Modeling, and Prediction. DASFAA (2) Anca Maria Ivanescu, Philipp Kranen, Manfred Smieschek, Philip Driessen, Thomas Seidl
2012	—	`conf`	Resource-Aware Distributed Clustering of Drifting Sensor Data Streams. NDT (1) Marwan Hassani, Thomas Seidl
2012	—	`conf`	Stream Data Mining Using the MOA Framework. DASFAA (2) Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read
2012	A*	`conf`	Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. KDD Stephan Günnemann, Ines Färber, Kittipat Virochsiri, Thomas Seidl
2012	—	`conf`	Subspace search and visualization to make sense of alternative clusterings in high-dimensional data. IEEE VAST Andrada Tatu, Fabian Maass, Ines Färber, Enrico Bertini, Tobias Schreck, Thomas Seidl, Daniel A. Keim
2012	B	`conf`	Substructure Clustering: A Novel Mining Paradigm for Arbitrary Data Types. SSDBM Stephan Günnemann, Brigitte Boden, Thomas Seidl
2012	—	`conf`	TMC-pattern: holistic trajectory extraction, modeling and mining. BigSpatial@SIGSPATIAL Roland Assam, Thomas Seidl
2012	J	`jnl`	The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities. Frontiers Comput. Sci. Anca Maria Ivanescu, Marc Wichterich, Christian Beecks, Thomas Seidl
2012	J	`jnl`	Tracing Evolving Subspace Clusters in Temporal Climate Data. Data Min. Knowl. Discov. Stephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl
2012	A	`conf`	Tracing clusters in evolving graphs with node attributes. CIKM Brigitte Boden, Stephan Günnemann, Thomas Seidl
2011	Misc	`conf`	A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. BTW Emmanuel Müller, Ira Assent, Stephan Günnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl
2011	—	`conf`	A hybrid control approach for low temperature combustion engine control. CDC/ECC Thivaharan Albin, Peter Drews, Frank J. Hesseler, Anca Maria Ivanescu, Thomas Seidl, Dirk Abel
2011	A*	`conf`	An effective evaluation measure for clustering on evolving data streams. KDD Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2011	A	`conf`	Analyzing the inner workings of the Signature Quadratic Form Distance. ICME Christian Beecks, Thomas Seidl
2011	B	`conf`	Applying similarity search for the investigation of the fuel injection process. SISAP Christian Beecks, Anca Maria Ivanescu, Thomas Seidl, Diana Martin, Philipp Pischke, Reinhold Kneer
2011	—	`ch.`	Binary Search. Algorithms Unplugged Thomas Seidl, Jost Enderle
2011	J	`jnl`	Biometric Template Protection - Ein Bericht über das Projekt BioKeyS. Datenschutz und Datensicherheit Christoph Busch, Ulrike Korte, Sebastian Abt, Christian Böhm, Ines Färber, Sergej Fries, Johannes Merkle, Claudia Nickel, Alexander Nouak, Alexander Opel, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther, Xuebing Zhou
2011	—	`conf`	ClasSi: Measuring Ranking Quality in the Presence of Object Classes with Similarity Information. PAKDD Workshops Anca Maria Ivanescu, Marc Wichterich, Thomas Seidl
2011	—	`conf`	Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. MMM (1) Christian Beecks, Ira Assent, Thomas Seidl
2011	—	`conf`	DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors. ECML/PKDD (1) Stephan Günnemann, Brigitte Boden, Thomas Seidl
2011	—	`conf`	Efficient Database Techniques for Identification with Fuzzy Vault Templates. BIOSIG Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther
2011	B	`conf`	Efficient Processing of Multiple DTW Queries in Time Series Databases. SSDBM Hardy Kremer, Stephan Günnemann, Anca Maria Ivanescu, Ira Assent, Thomas Seidl
2011	A	`conf`	External evaluation measures for subspace clustering. CIKM Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl
2011	Misc	`conf`	Feature-Based Graph Similarity with Co-Occurrence Histograms and the Earth Mover's Distance. BTW Marc Wichterich, Anca Maria Ivanescu, Thomas Seidl
2011	Misc	`conf`	Filtertechniken für geschützte biometrische Datenbanken. BTW Christian Böhm, Ines Färber, Sergej Fries, Ulrike Korte, Johannes Merkle, Annahita Oswald, Thomas Seidl, Bianca Wackersreuther, Peter Wackersreuther
2011	—	`conf`	Finding Density-Based Subspace Clusters in Graphs with Feature Vectors. LWA Stephan Günnemann, Brigitte Boden, Thomas Seidl
2011	A*	`conf`	Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. ICDM Stephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl
2011	B	`conf`	Hierarchical Clustering for Real-Time Stream Data with Noise. SSDBM Philipp Kranen, Felix Reidl, Fernando Sánchez Villaamil, Thomas Seidl
2011	B	`conf`	Indexing the signature quadratic form distance for efficient content-based multimedia retrieval. ICMR Christian Beecks, Jakub Lokoc, Thomas Seidl, Tomás Skopal
2011	—	`conf`	MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD (3) Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl
2011	A*	`conf`	Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance. ICCV Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, Thomas Seidl
2011	A*	`conf`	Modeling multimedia contents through probabilistic feature signatures. ACM Multimedia Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, Thomas Seidl
2011	—	`conf`	Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time. LWA Marwan Hassani, Philipp Kranen, Thomas Seidl
2011	B	`conf`	Parameterized earth mover's distance for efficient metric space indexing. SISAP Jakub Lokoc, Christian Beecks, Thomas Seidl, Tomás Skopal
2011	—	`conf`	Preserving privacy of moving objects via temporal clustering of spatio-temporal data streams. SPRINGL Roland Assam, Thomas Seidl
2011	—	`ed.`	Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, Athens, Greece, September 5, 2011, in conjunction with ECML/PKDD 2011 MultiClust@ECML/PKDD Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl
2011	A	`conf`	Processing the signature quadratic form distance on many-core GPU architectures. CIKM Martin Krulis, Jakub Lokoc, Christian Beecks, Tomás Skopal, Thomas Seidl
2011	A	`conf`	Scalable density-based subspace clustering. CIKM Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl
2011	J	`jnl`	Special section on spatial and temporal databases. GeoInformatica Nikos Mamoulis, Thomas Seidl
2011	A*	`conf`	Statistical selection of relevant subspace projections for outlier ranking. ICDE Emmanuel Müller, Matthias Schiffer, Thomas Seidl
2011	B	`conf`	Subspace clustering for indexing high dimensional data: a main memory index based on local reductions and individual multi-representations. EDBT Stephan Günnemann, Hardy Kremer, Dominik Lenhard, Thomas Seidl
2011	J	`jnl`	The ClusTree: indexing micro-clusters for anytime stream mining. Knowl. Inf. Syst. Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl
2011	B	`conf`	Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams. Mobile Data Management (2) Marwan Hassani, Thomas Seidl
2011	—	`conf`	Tracing Evolving Clusters by Subspace and Value Similarity. PAKDD (2) Stephan Günnemann, Hardy Kremer, Charlotte Laufkötter, Thomas Seidl
2010	A	`conf`	A comparative study of similarity measures for content-based multimedia retrieval. ICME Christian Beecks, Merih Seran Uysal, Thomas Seidl
2010	A	`conf`	Adaptive outlierness for subspace outlier ranking. CIKM Emmanuel Müller, Matthias Schiffer, Thomas Seidl
2010	—	`conf`	Air-Indexing on Error Prone Communication Channels. DASFAA (1) Emmanuel Müller, Philipp Kranen, Michael Nett, Felix Reidl, Thomas Seidl
2010	—	`conf`	Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. PAKDD (2) Philipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl
2010	—	`conf`	Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. ICDM Workshops Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2010	J	`jnl`	CoDA: Interactive Cluster Based Concept Discovery. Proc. VLDB Endow. Stephan Günnemann, Ines Färber, Hardy Kremer, Thomas Seidl
2010	—	`conf`	Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques. ICDM Workshops Hardy Kremer, Stephan Günnemann, Thomas Seidl
2010	—	`conf`	Detecting outliers on arbitrary data streams using anytime approaches. StreamKDD@KDD Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl
2010	A*	`conf`	Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDM Emmanuel Müller, Stephan Günnemann, Ines Färber, Thomas Seidl
2010	—	`conf`	Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance. ICDE Workshops Christian Beecks, Merih Seran Uysal, Thomas Seidl
2010	B	`conf`	Improving the Efficiency of Content-Based Multimedia Exploration. ICPR Christian Beecks, Sascha Wiedenfeld, Thomas Seidl
2010	A*	`conf`	Index support for content-based multimedia exploration. ACM Multimedia Christian Beecks, Philip Driessen, Thomas Seidl
2010	B	`conf`	MC-Tree: Improving Bayesian Anytime Classification. SSDBM Philipp Kranen, Stephan Günnemann, Sergej Fries, Thomas Seidl
2010	—	`conf`	MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. ICDM Workshops Stephan Günnemann, Hardy Kremer, Ines Färber, Thomas Seidl
2010	—	`conf`	MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. WAPA Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl
2010	B	`conf`	Pattern detector: fast detection of suspicious stream patterns for immediate reaction. EDBT Ira Assent, Hardy Kremer, Stephan Günnemann, Thomas Seidl
2010	—	`conf`	Signature Quadratic Form Distance. CIVR Christian Beecks, Merih Seran Uysal, Thomas Seidl
2010	B	`conf`	Similarity matrix compression for efficient signature quadratic form distance computation. SISAP Christian Beecks, Merih Seran Uysal, Thomas Seidl
2010	—	`conf`	Speeding Up Complex Video Copy Detection Queries. DASFAA (1) Ira Assent, Hardy Kremer, Thomas Seidl
2010	—	`conf`	Subgraph Mining on Directed and Weighted Graphs. PAKDD (2) Stephan Günnemann, Thomas Seidl
2010	A*	`conf`	Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. ICDM Stephan Günnemann, Ines Färber, Brigitte Boden, Thomas Seidl
2010	A	`conf`	Subspace Clustering for Uncertain Data. SDM Stephan Günnemann, Hardy Kremer, Thomas Seidl
2010	A	`conf`	Visual speaker model exploration. ICME Christian Beecks, Thilo Stadelmann, Bernd Freisleben, Thomas Seidl
2009	B	`ed.`	Advances in Spatial and Temporal Databases, 11th International Symposium, SSTD 2009, Aalborg, Denmark, July 8-10, 2009, Proceedings SSTD Nikos Mamoulis, Thomas Seidl, Torben Bach Pedersen, Kristian Torp, Ira Assent
2009	J	`jnl`	Anticipatory DTW for Efficient Similarity Search in Time Series Databases. Proc. VLDB Endow. Ira Assent, Marc Wichterich, Ralph Krieger, Hardy Kremer, Thomas Seidl
2009	A	`conf`	DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl
2009	A	`conf`	Detection of orthogonal concepts in subspaces of high dimensional data. CIKM Stephan Günnemann, Emmanuel Müller, Ines Färber, Thomas Seidl
2009	—	`conf`	EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. KDD Workshop on Knowledge Discovery from Sensor Data Marwan Hassani, Emmanuel Müller, Thomas Seidl
2009	J	`jnl`	Evaluating Clustering in Subspace Projections of High Dimensional Data. Proc. VLDB Endow. Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl
2009	A	`conf`	Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. CIKM Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl
2009	B	`conf`	HSM: Heterogeneous Subspace Mining in High Dimensional Data. SSDBM Emmanuel Müller, Ira Assent, Thomas Seidl
2009	—	`conf`	Harnessing the Strengths of Anytime Algorithms for Constant Data Streams. ECML/PKDD (1) Philipp Kranen, Thomas Seidl
2009	J	`jnl`	Harnessing the strengths of anytime algorithms for constant data streams. Data Min. Knowl. Discov. Philipp Kranen, Thomas Seidl
2009	Misc	`conf`	High-Dimensional Indexing for Multimedia Features. BTW Ira Assent, Stephan Günnemann, Hardy Kremer, Thomas Seidl
2009	B	`conf`	Indexing density models for incremental learning and anytime classification on data streams. EDBT Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, Jennifer Herrmann
2009	Misc	`conf`	Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken. BTW Christian Beecks, Marc Wichterich, Thomas Seidl
2009	—	`ch.`	Nearest Neighbor Classification. Encyclopedia of Database Systems Thomas Seidl
2009	—	`conf`	Relevance Feedback for the Earth Mover's Distance. Adaptive Multimedia Retrieval Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl
2009	A*	`conf`	Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. ICDM Emmanuel Müller, Ira Assent, Stephan Günnemann, Ralph Krieger, Thomas Seidl
2009	A*	`conf`	Self-Adaptive Anytime Stream Clustering. ICDM Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl
2009	A*	`conf`	Signature quadratic form distances for content-based similarity. ACM Multimedia Christian Beecks, Merih Seran Uysal, Thomas Seidl
2009	J	`jnl`	SubRank: Ranking Local Outliers in Projections of High-Dimensional Spaces. Datenbank-Spektrum Matthias Schiffer, Emmanuel Müller, Thomas Seidl
2009	B	`conf`	Type-based categorization of relational attributes. EDBT Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seidl, Divesh Srivastava, Suresh Venkatasubramanian
2009	—	`conf`	Using Index Structures for Anytime Stream Mining. VLDB PhD Workshop Philipp Kranen, Thomas Seidl
2008	—	`ch.`	Binäre Suche. Taschenbuch der Algorithmen Thomas Seidl, Jost Enderle
2008	J	`jnl`	Clustering multidimensional sequences in spatial and temporal databases. Knowl. Inf. Syst. Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl
2008	A	`conf`	EDSC: efficient density-based subspace clustering. CIKM Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2008	—	`conf`	Efficient EMD-based similarity search in multimedia databases via flexible dimensionality reduction. SIGMOD Conference Marc Wichterich, Ira Assent, Philipp Kranen, Thomas Seidl
2008	A*	`conf`	Efficient similarity search using the Earth Mover's Distance for large multimedia databases. ICDE Ira Assent, Marc Wichterich, Tobias Meisen, Thomas Seidl
2008	J	`jnl`	Extended Query Refinement for Medical Image Retrieval. J. Digit. Imaging Thomas Martin Deserno, Mark Oliver Güld, Bartosz Plodowski, Klaus Spitzer, Berthold B. Wein, Henning Schubert, Hermann Ney, Thomas Seidl
2008	A*	`conf`	INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. ICDM Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2008	B	`conf`	IndeGSRI: Efficient View-Dependent Ranking in CFD Post- processing Queries with RDBMS. SSDBM Christoph Brochhaus, Thomas Seidl
2008	B	`conf`	Mobile Mining and Information Management in HealthNet Scenarios. MDM Philipp Kranen, David Kensche, Saim Kim, Nadine Zimmermann, Emmanuel Müller, Christoph Quix, Xiang Li, Thomas Gries, Thomas Seidl, Matthias Jarke, Steffen Leonhardt
2008	A*	`conf`	Morpheus: interactive exploration of subspace clustering. KDD Emmanuel Müller, Ira Assent, Ralph Krieger, Timm Jansen, Thomas Seidl
2008	—	`conf`	OutRank: ranking outliers in high dimensional data. ICDE Workshops Emmanuel Müller, Ira Assent, Uwe Steinhausen, Thomas Seidl
2008	—	`conf`	Outlier detection and ranking based on subspace clustering. Uncertainty Management in Information Systems Thomas Seidl, Emmanuel Müller, Ira Assent, Uwe Steinhausen
2008	—	`conf`	Pleiades: Subspace Clustering and Evaluation. ECML/PKDD (2) Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl
2008	J	`jnl`	Public microarray repository semantic annotation with ontologies employing text mining and expression profile correlation. BMC Bioinform. David Ruau, Corinna Kolárik, Heinz-Theodor Mevissen, Emmanuel Müller, Ira Assent, Ralph Krieger, Thomas Seidl, Martin Hofmann-Apitius, Martin Zenke
2008	—	`conf`	Ranking multimedia databases via relevance feedback with history and foresight support. ICDE Workshops Marc Wichterich, Christian Beecks, Thomas Seidl
2008	B	`conf`	SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. PAKDD Ira Assent, Ralph Krieger, Petra Welter, Jörg Herbers, Thomas Seidl
2008	B	`conf`	The TS-tree: efficient time series search and retrieval. EDBT Ira Assent, Ralph Krieger, Farzad Afschari, Thomas Seidl
2007	A*	`conf`	AttentionAttractor: efficient video stream similarity query processing in real time. ICDE Ira Assent, Ralph Krieger, Thomas Seidl
2007	J	`jnl`	Clicks: An effective algorithm for mining subspace clusters in categorical datasets. Data Knowl. Eng. Mohammed J. Zaki, Markus Peters, Ira Assent, Thomas Seidl
2007	A*	`conf`	DUSC: Dimensionality Unbiased Subspace Clustering. ICDM Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2007	Misc	`ed.`	Datenbanksysteme in Business, Technologie und Web (BTW 2007), 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, 7.-9. März 2007, Aachen, Germany BTW Alfons Kemper, Harald Schöning, Thomas Rose, Matthias Jarke, Thomas Seidl, Christoph Quix, Christoph Brochhaus
2007	—	`ed.`	Datenbanksysteme in Business, Technologie und Web (BTW 2007), Workshop Proceedings, 5.-6. März 2007, Aachen, Germany BTW Workshops Matthias Jarke, Thomas Seidl, Christoph Quix, David Kensche, Stefan Conrad, Erhard Rahm, Ralf Klamma, Harald Kosch, Michael Granitzer, Sven Apel, Marko Rosenmüller, Gunter Saake, Olaf Spinczyk
2007	B	`conf`	Efficient Index Support for View-Dependent Queries on CFD Data. SSTD Christoph Brochhaus, Thomas Seidl
2007	A*	`conf`	IndeGS: Index Supported Graphics Data Server for CFD Data Postprocessing. VLDB Christoph Brochhaus, Thomas Seidl
2007	—	`conf`	Subspace outlier mining in large multimedia databases. Parallel Universes and Local Patterns Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2007	J	`jnl`	VISA: visual subspace clustering analysis. SIGKDD Explor. Ira Assent, Ralph Krieger, Emmanuel Müller, Thomas Seidl
2006	B	`conf`	A classification framework for content-based extraction of biomedical objects from hierarchically decomposed images. Image Processing Christian Thies, Marcel Schmidt-Borreda, Thomas Seidl, Thomas Martin Lehmann
2006	J	`jnl`	Adaptable Distance Functions for Similarity-based Multimedia Retrieval. Datenbank-Spektrum Ira Assent, Marc Wichterich, Thomas Seidl
2006	A*	`conf`	Approximation Techniques for Indexing the Earth Mover's Distance in Multimedia Databases. ICDE Ira Assent, Andrea Wenning, Thomas Seidl
2006	B	`conf`	Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search. EDBT Christoph Brochhaus, Marc Wichterich, Thomas Seidl
2006	—	`conf`	Efficient multi-step query processing for EMD-based similarity. Content-Based Retrieval Ira Assent, Thomas Seidl
2006	—	`conf`	Spatial Multidimensional Sequence Clustering. ICDM Workshops Ira Assent, Ralph Krieger, Boris Glavic, Thomas Seidl
2005	A*	`conf`	CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. KDD Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl
2005	J	`jnl`	Efficient interval management using object-relational database servers. Inform. Forsch. Entwickl. Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze
2005	A*	`conf`	Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases. VLDB Jost Enderle, Nicole Schneider, Thomas Seidl
2005	Misc	`conf`	Integrating the Relational Interval Tree into IBM's DB2 Universal Database Server. BTW Christoph Brochhaus, Jost Enderle, Achim Schlosser, Thomas Seidl, Knut Stolze
2005	—	`ch.`	Object-Relational Spatial Indexing. Spatial Databases Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl, Jost Enderle
2005	B	`conf`	Segmentation of medical images combining local, regional, global, and hierarchical distances into a bottom-up region merging scheme. Image Processing Thomas Martin Lehmann, Daniel Beier, Christian Thies, Thomas Seidl
2004	B	`conf`	A Cost Model for Spatial Intersection Queries on RI-Trees. DASFAA Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl
2004	—	`conf`	CVDB 2004 Panel: Future Applications and Solutions. CVDB M. Tamer Özsu, Jean Carrive, Sébastien Gilles, Izabela Grasland, Roger Mohr, Thomas Seidl
2004	B	`conf`	Efficient Similarity Search for Hierarchical Data in Large Databases. EDBT Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer, Thomas Seidl
2004	A*	`conf`	Efficient Similarity Search in Large Databases of Tree Structured Objects. ICDE Karin Kailing, Hans-Peter Kriegel, Stefan Schönauer, Thomas Seidl
2004	—	`conf`	Joining Interval Data in Relational Databases. SIGMOD Conference Jost Enderle, Matthias Hampel, Thomas Seidl
2004	—	`conf`	Nearest Neighbor Search on Multimedia Indexing Structures. CVDB Thomas Seidl
2003	B	`conf`	Effective Similarity Search on Voxelized CAD Object. DASFAA Hans-Peter Kriegel, Peer Kröger, Zahi Mashael, Martin Pfeifle, Marco Pötke, Thomas Seidl
2003	—	`conf`	Spatial Data Management for Virtual Product Development. Computer Science in Perspective Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Matthias Renz, Thomas Seidl
2003	B	`conf`	Spatial Query Processing for High Resolutions. DASFAA Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl
2003	Misc	`conf`	The Paradigm of Relational Indexing: a Survey. BTW Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl
2002	B	`conf`	A Cost Model for Interval Intersection Queries on RI-Trees. SSDBM Hans-Peter Kriegel, Martin Pfeifle, Marco Pötke, Thomas Seidl
2002	J	`jnl`	Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search. J. Intell. Inf. Syst. Christian Böhm, Hans-Peter Kriegel, Thomas Seidl
2001	B	`conf`	Adaptable Similarity Search Using Vector Quantization. DaWaK Christian Böhm, Hans-Peter Kriegel, Thomas Seidl
2001	—	`conf`	DIVE: Database Integration for Virtual Engineering. ICDE Demo Sessions Hans-Peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl
2001	B	`conf`	Interval Sequences: An Object-Relational Approach to Manage Spatial Data. SSTD Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
2001	B	`conf`	Object-Relational Indexing for General Interval Relationships. SSTD Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
2001	—	`conf`	Spatial Data Management for Computer Aided Design. SIGMOD Conference Hans-Peter Kriegel, Andreas Müller, Marco Pötke, Thomas Seidl
2000	J	`jnl`	Indexing the Solution Space: A New Technique for Nearest Neighbor Search in High-Dimensional Space. IEEE Trans. Knowl. Data Eng. Stefan Berchtold, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
2000	A*	`conf`	Managing Intervals Efficiently in Object-Relational Databases. VLDB Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
1999	—	`conf`	3D Shape Histograms for Similarity Search and Classification in Spatial Databases. SSD Mihael Ankerst, Gabi Kastenmüller, Hans-Peter Kriegel, Thomas Seidl
1999	—	`conf`	Adaptable Similarity Search in Large Image Databases. State-of-the-Art in Content-Based Image and Video Retrieval Thomas Seidl, Hans-Peter Kriegel
1999	J	`jnl`	Bioinformatik - Aktuelles Schlagwort. Inform. Spektrum Rolf Backofen, François Bry, Peter Clote, Hans-Peter Kriegel, Thomas Seidl, Klaus U. Schulz
1999	A	`conf`	Nearest Neighbor Classification in 3D Protein Databases. ISMB Mihael Ankerst, Gabi Kastenmüller, Hans-Peter Kriegel, Thomas Seidl
1998	J	`jnl`	A Multistep Approach for Shape Similarity Search in Image Databases. IEEE Trans. Knowl. Data Eng. Mihael Ankerst, Hans-Peter Kriegel, Thomas Seidl
1998	J	`jnl`	Adaptable Similarity Search in 3-D Spatial Database Systems (Abstract). Datenbank Rundbr. Thomas Seidl
1998	—	`—`	Adaptable similarity search in 3-D spatial database systems. Thomas Seidl
1998	J	`jnl`	Approximation-Based Similarity Search for 3-D Surface Segments. GeoInformatica Hans-Peter Kriegel, Thomas Seidl
1998	A*	`conf`	Fast Nearest Neighbor Search in High-Dimensional Space. ICDE Stefan Berchtold, Bernhard Ertl, Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
1998	A*	`conf`	Improving Adaptable Similarity Query Processing by Using Approximations. VLDB Mihael Ankerst, Bernhard Braunmüller, Hans-Peter Kriegel, Thomas Seidl
1998	—	`conf`	Optimal Multi-Step k-Nearest Neighbor Search. SIGMOD Conference Thomas Seidl, Hans-Peter Kriegel
1998	—	`conf`	Similarity Search in 3D Protein Databases. German Conference on Bioinformatics Thomas Seidl, Gabi Kastenmüller, Hans-Peter Kriegel
1997	—	`conf`	3D Similarity Search by Shape Approximation. SSD Hans-Peter Kriegel, Thomas Schmidt, Thomas Seidl
1997	A*	`conf`	Efficient User-Adaptable Similarity Search in Large Multimedia Databases. VLDB Thomas Seidl, Hans-Peter Kriegel
1995	—	`conf`	A 3D Molecular Surface Representation Supporting Neighborhood Queries. SSD Thomas Seidl, Hans-Peter Kriegel
1995	Misc	`conf`	Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. BTW Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu
1995	A	`conf`	Solvent Accessible Surface Representation in a Database System for Protein Docking. ISMB Thomas Seidl, Hans-Peter Kriegel
1994	A*	`conf`	Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl
1993	A	`conf`	Visual Feedback in Querying Large Databases. IEEE Visualization Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl