| 2026 | IDA | Fast Model Selection for Interpretable Gaussian Process Models Using Laplace Approximation. | Andreas Besginow, Thomas Pawellek, Jan David Hwel, Christian Beecks, Markus Lange-Hegermann |
| 2025 | BTW | Extending K-Means Clustering with Ptolemy's Inequality. | Max Pernklau, Nikita Averitchev, Christian Beecks |
| 2025 | CaiSE | Towards an Ontology for Representing Time Series Knowledge: Motivation, Requirements and Concept. | Alexander Gra, Rohit A. Deshmukh, Christian Beecks, Stefan Decker |
| 2025 | CIKM | Structuring Data Science Automation: A Competency-Aware Taxonomy Approach. | Maike Madeline Holtkemper, Max Pernklau, Christian Beecks |
| 2025 | CSEDU | Towards a Standardized Data Science Competence Framework: A Literature Review Approach. | Maria Potanin, Maike Holtkemper, Tobias Golz, Christian Beecks |
| 2025 | DATA | Bridging Competency Gaps in Data Science: Evaluating the Role of Automation Frameworks Across the DASC-PM Lifecycle. | Maike Holtkemper, Christian Beecks |
| 2025 | DATA | Data Quality Scoring: A Conceptual Model and Prototypical Implementation. | Mario Kbis-Riedel, Marcel Altendeitering, Christian Beecks |
| 2025 | DATA | Arbitrary Shaped Clustering Validation on the Test Bench. | Georg Stefan Schlake, Christian Beecks |
| 2025 | DSAA | Mind the Gap: Validating System Requirements for Competence-Based Decision Support in Data Science Projects. | Maike Holtkemper, Christian Beecks |
| 2025 | DSAA | CA-HIL: A Competency-Aware Framework for Bridging Automation and Human Expertise in Data Science Projects. | Maike Holtkemper, Christian Beecks |
| 2025 | DSAA | Multi Algorithm Selection and Hyperparameter Optimization for Automated Clustering. | Georg Stefan Schlake, Max Pernklau, Christian Beecks |
| 2025 | EDUCON | Implementing Learning Paths into Data Science Courses - a Qualitative Approach. | Maria Potanin, Maike Holtkemper, Simone Opel, Andrea Linxen, Christian Beecks, Tobias Golz |
| 2025 | IDEAL | Semantic Intelligence: Graph RAG-Driven Agents for Time Series Analytics. | Alexander Gra, Christopher I. Pack, Diego Collarana, Stefan Decker, Christian Beecks |
| 2024 | DSAA | Discovering Structural Regularities in Time Series via Gaussian Processes. | Jan David Hwel, Christian Beecks |
| 2024 | DSAA | Validating Arbitrary Shaped Clusters - A Survey. | Georg Stefan Schlake, Christian Beecks |
| 2024 | EDBT | Frequent Component Analysis for Large Time Series Databases with Gaussian Processes. | Jan David Hwel, Christian Beecks |
| 2024 | GI | Entwicklung einer KI fr automatisierte Tierschutzkontrollen in der Schweineschlachtung. | Christian Beecks, Alexander Gra, Anandraj Amalraj, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schffer |
| 2024 | ICDE | Towards Ptolemaic metric properties of the z-normalized Euclidean distance for multivariate time series indexing. | Max Pernklau, Christian Beecks |
| 2024 | IDEAL | Structural and Semantic Data Layers in Time Series Analyses. | Alexander Gra, Christian Beecks, Stefan Decker |
| 2024 | IDEAL | What Students Should Learn and Teachers Must Know About Artificial Intelligence. | Simone Opel, Andrea Linxen, Christian Beecks |
| 2024 | KI | Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes. | Christian Beecks, Anandraj Amalraj, Alexander Gra, Marc Jentsch, Felix Kitschke, Maximilian Norz, Patric Schffer |
| 2024 | SISAP | Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. | Jan David Hwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks |
| 2023 | ADBIS | A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information. | Alexander Gra, Christian Beecks, Sisay Adugna Chala, Christoph Lange, Stefan Decker |
| 2023 | DEXA | Gaussian Process Component Mining with the Apriori Algorithm. | Jan David Hwel, Christian Beecks |
| 2023 | DSAA | Interpreting Black-box Machine Learning Models for High Dimensional Datasets. | Md. Rezaul Karim, Md Shajalal, Alexander Gra, Till Dhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker |
| 2022 | DEXA | Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets. | Jan David Hwel, Anne Gresch, Tim Berger, Martina Dfer, Christian Beecks |
| 2022 | DSAA | Tracing Patterns in Electrophysiological Time Series Data. | Jan David Hwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Dfer, Christian Beecks |
| 2022 | ICDE | GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. | Till Dhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter |
| 2022 | ICDE | Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery. | Alexander Gra, Till Dhmen, Christian Beecks |
| 2022 | ICDE | Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification. | Georg Stefan Schlake, Jan David Hwel, Fabian Berns, Christian Beecks |
| 2022 | IIWAS | A Comparative Performance Analysis of Fast K-Means Clustering Algorithms. | Christian Beecks, Fabian Berns, Jan David Hwel, Andrea Linxen, Georg Stefan Schlake, Tim Dsterhus |
| 2022 | KI | Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. | Jan David Hwel, Florian Haselbeck, Dominik G. Grimm, Christian Beecks |
| 2021 | ICDM | LOGIC: Probabilistic Machine Learning for Time Series Classification. | Fabian Berns, Jan David Hwel, Christian Beecks |
| 2021 | INDIN | knowlEdge Project -Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0. | Sergio lvarez-Napagao, Boki Ashmore, Marta Barroso, Cristian Barru, Christian Beecks, Fabian Berns, Ilaria Bosi, Sisay Adugna Chala, Nicola Ciulli, Marta Garcia-Gasulla, Alexander Grass, Dimosthenis Ioannidis, Natalia Jakubiak, Karl Kpke, Ville Lms, Pedro Megias, Alexandros Nizamis, Claudio Pastrone, Rosaria Rossini, Miquel Snchez-Marr, Luca Ziliotti |
| 2021 | SDM | Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes. | Fabian Berns, Christian Beecks |
| 2021 | SDM | Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data. | Fabian Berns, Christian Beecks |
| 2021 | SSDBM | Local Gaussian Process Model Inference Classification for Time Series Data. | Fabian Berns, Joschka Hannes Strber, Christian Beecks |
| 2020 | CIKM | Automatic Gaussian Process Model Retrieval for Big Data. | Fabian Berns, Christian Beecks |
| 2020 | DATA | Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning. | Fabian Berns, Christian Beecks |
| 2020 | IC3K | Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes. | Fabian Berns, Christian Beecks |
| 2020 | ICPR | Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses. | Fabian Berns, Timo Ramsdorf, Christian Beecks |
| 2020 | ICPR | 3CS Algorithm for Efficient Gaussian Process Model Retrieval. | Fabian Berns, Kjeld Schmidt, Ingolf Bracht, Christian Beecks |
| 2020 | OZCHI | MetaMorph: AI Assistance to Transform Lo-Fi Sketches to Higher Fidelities. | Vinoth Pandian Sermuga Pandian, Sarah Suleri, Christian Beecks, Matthias Jarke |
| 2019 | EDBT | Gaussian Processes for Anomaly Description in Production Environments. | Christian Beecks, Kjeld Willy Schmidt, Fabian Berns, Alexander Gra |
| 2016 | EDBT | Distance-based Multimedia Indexing. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2016 | EDBT | Efficient Query Processing using the Earth's Mover Distance in Video Databases. | Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Jochen Schmcking, Thomas Seidl |
| 2016 | HCI | Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data. | Laurens De Vocht, Christian Beecks, Ruben Verborgh, Erik Mannens, Thomas Seidl, Rik Van de Walle |
| 2016 | MMM | Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection. | Marco A. Hudelist, Claudiu Cobrzan, Christian Beecks, Rob van de Werken, Sabrina Kletz, Wolfgang Hrst, Klaus Schoeffmann |
| 2016 | MMSys | Finding the chameleon in your video collection. | Marco A. Hudelist, Christian Beecks, Klaus Schoeffmann |
| 2015 | BTW | Distance-based Multimedia Indexing. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2015 | BTW | Sequential Pattern Mining of Multimodal Streams in the Humanities. | Marwan Hassani, Christian Beecks, Daniel Tws, Tatiana Serbina, Max Haberstroh, Paula Niemietz, Sabina Jeschke, Stella Neumann, Thomas Seidl |
| 2015 | BTW | Optimizing Sequential Pattern Mining Within Multiple Streams. | Daniel Tws, Marwan Hassani, Christian Beecks, Thomas Seidl |
| 2015 | CBMI | On efficient content-based near-duplicate video detection. | Merih Seran Uysal, Christian Beecks, Thomas Seidl |
| 2015 | CIKM | Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases. | Christian Beecks, Merih Seran Uysal, Judith Hermanns, Thomas Seidl |
| 2015 | CIKM | Large-scale Efficient and Effective Video Similarity Search. | Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl |
| 2015 | ICDM | Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases. | Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl |
| 2015 | ISM | Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance. | Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl |
| 2015 | ISM | Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments. | Christian Beecks, Klaus Schoeffmann, Mathias Lux, Merih Seran Uysal, Thomas Seidl |
| 2015 | ISM | Earth Mover's Distance vs. Quadratic form Distance: An Analytical and Empirical Comparison. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2015 | ISM | Effective Content-Based Near-Duplicate Video Detection. | Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl |
| 2015 | MMM | Content-Based Image Retrieval with Gaussian Mixture Models. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2015 | SISAP | FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover's Distance. | Merih Seran Uysal, Christian Beecks, Daniel Sabinasz, Thomas Seidl |
| 2015 | SSDBM | Efficient similarity search in scientific databases with feature signatures. | Merih Seran Uysal, Christian Beecks, Jochen Schmcking, Thomas Seidl |
| 2014 | CIKM | Towards Named-Entity-based Similarity Measures: Challenges and Opportunities. | Tom De Nies, Christian Beecks, Wesley De Neve, Thomas Seidl, Erik Mannens, Rik Van de Walle |
| 2014 | CIKM | On Efficient Query Processing with the Earth Mover's Distance. | Merih Seran Uysal, Christian Beecks, Thomas Seidl |
| 2014 | CIKM | Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures. | Merih Seran Uysal, Christian Beecks, Jochen Schmcking, Thomas Seidl |
| 2013 | CBMI | Content-based exploration of multimedia databases. | Christian Beecks, Merih Seran Uysal, Philip Driessen, Thomas Seidl |
| 2012 | MMM | On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval. | Christian Beecks, Thomas Seidl |
| 2011 | CIKM | Processing the signature quadratic form distance on many-core GPU architectures. | Martin Krulis, Jakub Lokoc, Christian Beecks, Toms Skopal, Thomas Seidl |
| 2011 | ICCV | Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance. | Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, Thomas Seidl |
| 2011 | ISM | 3D Image Browsing on Mobile Devices. | Klaus Schoeffmann, David Ahlstrm, Christian Beecks |
| 2011 | MMM | Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. | Christian Beecks, Ira Assent, Thomas Seidl |
| 2011 | MMM | Untitled record | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2011 | SISAP | Applying similarity search for the investigation of the fuel injection process. | Christian Beecks, Anca Maria Ivanescu, Thomas Seidl, Diana Martin, Philipp Pischke, Reinhold Kneer |
| 2011 | SISAP | Parameterized earth mover's distance for efficient metric space indexing. | Jakub Lokoc, Christian Beecks, Thomas Seidl, Toms Skopal |
| 2011 | SISAP | Ptolemaic indexing of the signature quadratic form distance. | Jakub Lokoc, Magnus Lie Hetland, Toms Skopal, Christian Beecks |
| 2010 | ICDE | Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2010 | ICPR | Improving the Efficiency of Content-Based Multimedia Exploration. | Christian Beecks, Sascha Wiedenfeld, Thomas Seidl |
| 2010 | SISAP | Similarity matrix compression for efficient signature quadratic form distance computation. | Christian Beecks, Merih Seran Uysal, Thomas Seidl |
| 2009 | BTW | Metrische Anpassung der Earth Mover's Distanz zur hnlichkeitssuche in Multimedia-Datenbanken. | Christian Beecks, Marc Wichterich, Thomas Seidl |
| 2009 | CIKM | Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. | Marc Wichterich, Christian Beecks, Martin Sundermeyer, Thomas Seidl |
| 2008 | ICDE | Ranking multimedia databases via relevance feedback with history and foresight support. | Marc Wichterich, Christian Beecks, Thomas Seidl |