Christian Beecks

144 papers A* 6A 12B 37C 14Misc 6Journal 12Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Fast Model Selection for Interpretable Gaussian Process Models Using Laplace Approximation. IDA Andreas Besginow, Thomas Pawellek, Jan David Hüwel, Christian Beecks, Markus Lange-Hegermann
2026	J	`jnl`	Fast fourier transform gated activation function (FFTGate). Inf. Fusion Emeka Ndupuechi, Christian Beecks
2025	C	`conf`	Arbitrary Shaped Clustering Validation on the Test Bench. DATA Georg Stefan Schlake, Christian Beecks
2025	C	`conf`	Bridging Competency Gaps in Data Science: Evaluating the Role of Automation Frameworks Across the DASC-PM Lifecycle. DATA Maike Holtkemper, Christian Beecks
2025	B	`conf`	CA-HIL: A Competency-Aware Framework for Bridging Automation and Human Expertise in Data Science Projects. DSAA Maike Holtkemper, Christian Beecks
2025	B	`conf`	Code2Onto: Multi-Agent System for Code-Driven Ontology Population. IEEE Big Data Alexander Graß, Jonathan Lehmkuhl, Diego Collarana, Stefan Decker, Christian Beecks
2025	C	`conf`	Data Quality Scoring: A Conceptual Model and Prototypical Implementation. DATA Mario Köbis-Riedel, Marcel Altendeitering, Christian Beecks
2025	Misc	`conf`	Extending K-Means Clustering with Ptolemy's Inequality. BTW Max Pernklau, Nikita Averitchev, Christian Beecks
2025	B	`conf`	GRAFT - Graph Retrieval Augmented Generation Fine-Tuning Approach. IEEE Big Data Moritz Busch, Giuliana Defilippis, Philipp Weiß, Christian Beecks, Stefan Decker, Diego Collarana
2025	C	`conf`	Implementing Learning Paths into Data Science Courses - a Qualitative Approach. EDUCON Maria Potanin, Maike Holtkemper, Simone Opel, Andrea Linxen, Christian Beecks, Tobias Golz
2025	B	`conf`	Mind the Gap: Validating System Requirements for Competence-Based Decision Support in Data Science Projects. DSAA Maike Holtkemper, Christian Beecks
2025	B	`conf`	Multi Algorithm Selection and Hyperparameter Optimization for Automated Clustering. DSAA Georg Stefan Schlake, Max Pernklau, Christian Beecks
2025	—	`conf`	Semantic Intelligence: Graph RAG-Driven Agents for Time Series Analytics. IDEAL (1) Alexander Graß, Christopher I. Pack, Diego Collarana, Stefan Decker, Christian Beecks
2025	A	`conf`	Structuring Data Science Automation: A Competency-Aware Taxonomy Approach. CIKM Maike Madeline Holtkemper, Max Pernklau, Christian Beecks
2025	—	`conf`	Towards a Standardized Data Science Competence Framework: A Literature Review Approach. CSEDU (2) Maria Potanin, Maike Holtkemper, Tobias Golz, Christian Beecks
2025	—	`conf`	Towards an Ontology for Representing Time Series Knowledge: Motivation, Requirements and Concept. CAiSE Forum Alexander Graß, Rohit A. Deshmukh, Christian Beecks, Stefan Decker
2025	—	`conf`	Unveiling Data Science Team Roles and Competencies: A Literature-Based Analysis. AMCIS Christian Haertel, Maike Holtkemper, Daniel Staegemann, Christian Beecks, Klaus Turowski
2024	J	`jnl`	AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0. Syst. Enrico Alberti, Sergio Álvarez-Napagao, Víctor Anaya, Marta Barroso, Cristian Barrué, Christian Beecks, Letizia Bergamasco, Sisay Adugna Chala, Victor Gimenez-Abalos, Alexander Graß, Daniel Hinjos, Maike Holtkemper, Natalia Jakubiak, Alexandros Nizamis, Edoardo Pristeri, Miquel Sànchez-Marrè, Georg Stefan Schlake, Jona Scholz, Gabriele Scivoletto, Stefan Walter
2024	B	`conf`	Automated Exploratory Clustering. IEEE Big Data Georg Stefan Schlake, Max Pernklau, Christian Beecks
2024	B	`conf`	Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence Clustering. IEEE Big Data Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks
2024	B	`conf`	Discovering Structural Regularities in Time Series via Gaussian Processes. DSAA Jan David Hüwel, Christian Beecks
2024	B	`conf`	Empowering Data Science Teams: How Automation Frameworks Address Competency Gaps Across Project Lifecycles. IEEE Big Data Maike Holtkemper, Christian Beecks
2024	—	`conf`	Entwicklung einer KI für automatisierte Tierschutzkontrollen in der Schweineschlachtung. INFORMATIK Christian Beecks, Alexander Graß, Anandraj Amalraj, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schäffer
2024	—	`conf`	Fault Detection in Transmission Production Lines Based on Imbalanced Multivariate Time Series. BigDataService Emeka Ndupuechi, Christian Beecks
2024	B	`conf`	Frequent Component Analysis for Large Time Series Databases with Gaussian Processes. EDBT Jan David Hüwel, Christian Beecks
2024	B	`conf`	Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. SISAP Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks
2024	Misc	`conf`	Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes. KI Christian Beecks, Anandraj Amalraj, Alexander Graß, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schäffer
2024	J	`jnl`	On the Laplace Approximation as Model Selection Criterion for Gaussian Processes. CoRR Andreas Besginow, Jan David Hüwel, Thomas Pawellek, Christian Beecks, Markus Lange-Hegermann
2024	B	`conf`	Ontology-driven knowledge base for digital humanities: Restructuring knowledge organization at the library of the Folkwang University of the Arts. IEEE Big Data Andrea Linxen, Vera-Maria Schmidt, Harald Klinke, Christian Beecks
2024	—	`conf`	Structural and Semantic Data Layers in Time Series Analyses. IDEAL (1) Alexander Graß, Christian Beecks, Stefan Decker
2024	B	`conf`	The Skyline Operator to Find the Needle in the Haystack for Automated Clustering. IEEE Big Data Georg Stefan Schlake, Christian Beecks
2024	—	`conf`	Towards Ptolemaic metric properties of the z-normalized Euclidean distance for multivariate time series indexing. ICDEW Max Pernklau, Christian Beecks
2024	B	`conf`	Validating Arbitrary Shaped Clusters - A Survey. DSAA Georg Stefan Schlake, Christian Beecks
2024	—	`conf`	What Students Should Learn and Teachers Must Know About Artificial Intelligence. IDEAL (2) Simone Opel, Andrea Linxen, Christian Beecks
2023	—	`conf`	A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information. ADBIS (Short Papers) Alexander Graß, Christian Beecks, Sisay Adugna Chala, Christoph Lange, Stefan Decker
2023	—	`conf`	Gaussian Process Component Mining with the Apriori Algorithm. DEXA (2) Jan David Hüwel, Christian Beecks
2023	B	`conf`	Interpreting Black-box Machine Learning Models for High Dimensional Datasets. DSAA Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker
2023	B	`conf`	Knowledge Graphs for Competency-Based Education. IEEE Big Data Andrea Linxen, Florian Endel, Simone Opel, Christian Beecks
2023	—	`conf`	Prototyping a Virtual Tutor with Modular Teaching Styles. DELFI Andrea Linxen, Simone Opel, Stephanie Ebbing, Christian Beecks
2023	—	`conf`	Risk Identification of Data Science Projects: A Literature Review. LWDA Maike Holtkemper, Maria Potanin, Alexander Oberst, Christian Beecks
2023	B	`conf`	Towards Automated Clustering. IEEE Big Data Georg Stefan Schlake, Christian Beecks
2022	C	`conf`	A Comparative Performance Analysis of Fast K-Means Clustering Algorithms. iiWAS Christian Beecks, Fabian Berns, Jan David Hüwel, Andrea Linxen, Georg Stefan Schlake, Tim Düsterhus
2022	—	`conf`	Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets. DEXA (2) Jan David Hüwel, Anne Gresch, Tim Berger, Martina Düfer, Christian Beecks
2022	J	`jnl`	Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms. SN Comput. Sci. Fabian Berns, Jan David Hüwel, Christian Beecks
2022	Misc	`conf`	Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. KI Jan David Hüwel, Florian Haselbeck, Dominik G. Grimm, Christian Beecks
2022	—	`conf`	Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification. ICDE Workshops Georg Stefan Schlake, Jan David Hüwel, Fabian Berns, Christian Beecks
2022	—	`conf`	GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. ICDE Workshops Till Döhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter
2022	J	`jnl`	Interpreting Black-box Machine Learning Models for High Dimensional Datasets. CoRR Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker
2022	—	`conf`	Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery. ICDE Workshops Alexander Graß, Till Döhmen, Christian Beecks
2022	B	`conf`	Tracing Patterns in Electrophysiological Time Series Data. DSAA Jan David Hüwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Düfer, Christian Beecks
2021	—	`conf`	Automated Kernel Search for Gaussian Processes on Data Streams. IEEE BigData Jan David Hüwel, Fabian Berns, Christian Beecks
2021	A	`conf`	Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data. SDM Fabian Berns, Christian Beecks
2021	A*	`conf`	LOGIC: Probabilistic Machine Learning for Time Series Classification. ICDM Fabian Berns, Jan David Hüwel, Christian Beecks
2021	B	`conf`	Local Gaussian Process Model Inference Classification for Time Series Data. SSDBM Fabian Berns, Joschka Hannes Strüber, Christian Beecks
2021	—	`conf`	On Kernel Search Based Gaussian Process Anomaly Detection. IN4PL (Revised Selected Papers) Jan David Hüwel, Andreas Besginow, Fabian Berns, Markus Lange-Hegermann, Christian Beecks
2021	A	`conf`	Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes. SDM Fabian Berns, Christian Beecks
2021	C	`conf`	knowlEdge Project -Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0. INDIN Sergio Álvarez-Napagao, Boki Ashmore, Marta Barroso, Cristian Barrué, Christian Beecks, Fabian Berns, Ilaria Bosi, Sisay Adugna Chala, Nicola Ciulli, Marta Garcia-Gasulla, Alexander Grass, Dimosthenis Ioannidis, Natalia Jakubiak, Karl Köpke, Ville Lämsä, Pedro Megias, Alexandros Nizamis, Claudio Pastrone, Rosaria Rossini, Miquel Sànchez-Marrè, Luca Ziliotti
2020	B	`conf`	3CS Algorithm for Efficient Gaussian Process Model Retrieval. ICPR Fabian Berns, Kjeld Schmidt, Ingolf Bracht, Christian Beecks
2020	A	`conf`	Automatic Gaussian Process Model Retrieval for Big Data. CIKM Fabian Berns, Christian Beecks
2020	—	`conf`	Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes. KDIR Fabian Berns, Christian Beecks
2020	—	`conf`	Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses. ICPR Workshops (4) Fabian Berns, Timo Ramsdorf, Christian Beecks
2020	Misc	`conf`	MetaMorph: AI Assistance to Transform Lo-Fi Sketches to Higher Fidelities. OZCHI Vinoth Pandian Sermuga Pandian, Sarah Suleri, Christian Beecks, Matthias Jarke
2020	—	`conf`	Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. IN4PL Fabian Berns, Markus Lange-Hegermann, Christian Beecks
2020	C	`conf`	Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning. DATA Fabian Berns, Christian Beecks
2019	—	`conf`	A New Approach for Efficient Structure Discovery in IoT. IEEE BigData Fabian Berns, Kjeld Willy Schmidt, Alexander Grass, Christian Beecks
2019	—	`conf`	Gaussian Processes for Anomaly Description in Production Environments. EDBT/ICDT Workshops Christian Beecks, Kjeld Willy Schmidt, Fabian Berns, Alexander Graß
2019	—	`conf`	Ptolemaic Indexing for Managing and Querying Internet of Things (IoT) Data. IEEE BigData Christian Beecks, Fabian Berns, Kjeld Willy Schmidt
2019	B	`conf`	V3C1 Dataset: An Evaluation of Content Characteristics. ICMR Fabian Berns, Luca Rossetto, Klaus Schoeffmann, Christian Beecks, George Awad
2019	—	`conf`	lifeXplore at the Lifelog Search Challenge 2019. LSC@ICMR Andreas Leibetseder, Bernd Münzer, Manfred Jürgen Primus, Sabrina Kletz, Klaus Schoeffmann, Fabian Berns, Christian Beecks
2018	—	`conf`	Efficient Point-Based Pattern Search in 3D Motion Capture Databases. FiCloud Christian Beecks, Alexander Grass
2018	—	`conf`	Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project. ML4CPS Christian Beecks, Shreekantha Devasya, Ruben Schlutter
2018	—	`conf`	Metric Indexing for Efficient Data Access in the Internet of Things. IEEE BigData Christian Beecks, Alexander Grass, Shreekantha Devasya
2018	—	`conf`	Optimal k-Nearest-Neighbor Query Processing via Multiple Lower Bound Approximations. IEEE BigData Christian Beecks, Max Berrendorf
2018	—	`conf`	Unsupervised Anomaly Detection in Production Lines. ML4CPS Alexander Graß, Christian Beecks, José Angel Carvajal Soto
2018	J	`jnl`	Video retrieval in laparoscopic video recordings with dynamic content descriptors. Multim. Tools Appl. Klaus Schoeffmann, Heinrich Husslein, Sabrina Kletz, Stefan Petscharnig, Bernd Münzer, Christian Beecks
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	—	`conf`	Large-Scale Endoscopic Image and Video Linking with Gradient-Based Signatures. BigMM Christian Beecks, Sabrina Kletz, Klaus Schoeffmann
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	—	`conf`	When content-based video retrieval and human computation unite: Towards effective collaborative video search. ICME Workshops Bernd Münzer, Manfred Jürgen Primus, Marco A. Hudelist, Christian Beecks, Wolfgang Hürst, Klaus Schoeffmann
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	A*	`conf`	A New Tool for Collaborative Video Search via Content-based Retrieval and Visual Inspection. ACM Multimedia Wolfgang Hürst, Algernon Ip Vai Ching, Marco A. Hudelist, Manfred Jürgen Primus, Klaus Schoeffmann, Christian Beecks
2016	—	`conf`	Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection. MMM (2) Marco A. Hudelist, Claudiu Cobârzan, Christian Beecks, Rob van de Werken, Sabrina Kletz, Wolfgang Hürst, Klaus Schoeffmann
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	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	A	`conf`	Finding the chameleon in your video collection. MMSys Marco A. Hudelist, Christian Beecks, Klaus Schoeffmann
2016	—	`conf`	Multi-step threshold algorithm for efficient feature-based query processing in large-scale multimedia databases. IEEE BigData Christian Beecks, Alexander Graß
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
2015	—	`conf`	Content-Based Image Retrieval with Gaussian Mixture Models. MMM (1) Christian Beecks, Merih Seran Uysal, Thomas Seidl
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	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`	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	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	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
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`	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	—	`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	—	`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	C	`conf`	Content-based exploration of multimedia databases. CBMI Christian Beecks, Merih Seran Uysal, Philip Driessen, Thomas Seidl
2013	—	`—`	Distance based similarity models for content based multimedia retrieval. Christian Beecks
2013	J	`jnl`	Ptolemaic access methods: Challenging the reign of the metric space model. Inf. Syst. Magnus Lie Hetland, Tomás Skopal, Jakub Lokoc, Christian Beecks
2013	B	`conf`	Signature matching distance for content-based image retrieval. ICMR Christian Beecks, Steffen Kirchhoff, Thomas Seidl
2012	J	`jnl`	Combining CPU and GPU architectures for fast similarity search. Distributed Parallel Databases Martin Krulis, Tomás Skopal, Jakub Lokoc, Christian Beecks
2012	B	`conf`	On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval. MMM Christian Beecks, 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
2011	C	`conf`	3D Image Browsing on Mobile Devices. ISM Klaus Schoeffmann, David Ahlström, Christian Beecks
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	—	`conf`	Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. MMM (1) Christian Beecks, Ira Assent, 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	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	B	`conf`	Parameterized earth mover's distance for efficient metric space indexing. SISAP Jakub Lokoc, Christian Beecks, Thomas Seidl, Tomás Skopal
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	B	`conf`	Ptolemaic indexing of the signature quadratic form distance. SISAP Jakub Lokoc, Magnus Lie Hetland, Tomás Skopal, Christian Beecks
2010	A	`conf`	A comparative study of similarity measures for content-based multimedia retrieval. ICME Christian Beecks, Merih Seran Uysal, 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	—	`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	A	`conf`	Visual speaker model exploration. ICME Christian Beecks, Thilo Stadelmann, Bernd Freisleben, 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	Misc	`conf`	Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken. BTW Christian Beecks, Marc Wichterich, 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`	Signature quadratic form distances for content-based similarity. ACM Multimedia Christian Beecks, Merih Seran Uysal, Thomas Seidl
2008	—	`conf`	Ranking multimedia databases via relevance feedback with history and foresight support. ICDE Workshops Marc Wichterich, Christian Beecks, Thomas Seidl