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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

3D Image Browsing on Mobile Devices. - Klaus Schoeffmann; David Ahlström; Christian Beecks (ISM, 2011)

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

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

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

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

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

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

Ptolemaic indexing of the signature quadratic form distance. - Jakub Lokoc; Magnus Lie Hetland; Tomás Skopal; Christian Beecks (SISAP, 2011)

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

Combining CPU and GPU architectures for fast similarity search. - Martin Krulis; Tomás Skopal; Jakub Lokoc; Christian Beecks (Distributed Parallel Databases, 2012)

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

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

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

Ptolemaic access methods: Challenging the reign of the metric space model. - Magnus Lie Hetland; Tomás Skopal; Jakub Lokoc; Christian Beecks (Inf. Syst., 2013)

Distance based similarity models for content based multimedia retrieval. - Christian Beecks (2013)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance. - Christian Beecks; Marwan Hassani; Florian Obeloer; Thomas Seidl 001 (ISM, 2015)

Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments. - Christian Beecks; Klaus Schoeffmann; Mathias Lux; Merih Seran Uysal; Thomas Seidl 001 (ISM, 2015)

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

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

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

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

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

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

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

Multi-step threshold algorithm for efficient feature-based query processing in large-scale multimedia databases. - Christian Beecks; Alexander Graß (IEEE BigData, 2016)

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

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

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

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

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

A New Tool for Collaborative Video Search via Content-based Retrieval and Visual Inspection. - Wolfgang Hürst; Algernon Ip Vai Ching; Marco A. Hudelist; Manfred Jürgen Primus; Klaus Schoeffmann; Christian Beecks (ACM Multimedia, 2016)

Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection. - Marco A. Hudelist; Claudiu Cobârzan; Christian Beecks; Rob van de Werken; Sabrina Kletz; Wolfgang Hürst; Klaus Schoeffmann (MMM (2), 2016)

Finding the chameleon in your video collection. - Marco A. Hudelist; Christian Beecks; Klaus Schoeffmann (MMSys, 2016)

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

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

Large-Scale Endoscopic Image and Video Linking with Gradient-Based Signatures. - Christian Beecks; Sabrina Kletz; Klaus Schoeffmann (BigMM, 2017)

When content-based video retrieval and human computation unite: Towards effective collaborative video search. - Bernd Münzer; Manfred Jürgen Primus; Marco A. Hudelist; Christian Beecks; Wolfgang Hürst; Klaus Schoeffmann (ICME Workshops, 2017)

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

Optimal k-Nearest-Neighbor Query Processing via Multiple Lower Bound Approximations. - Christian Beecks; Max Berrendorf (IEEE BigData, 2018)

Metric Indexing for Efficient Data Access in the Internet of Things. - Christian Beecks; Alexander Grass; Shreekantha Devasya (IEEE BigData, 2018)

Efficient Point-Based Pattern Search in 3D Motion Capture Databases. - Christian Beecks; Alexander Grass (FiCloud, 2018)

Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project. - Christian Beecks; Shreekantha Devasya; Ruben Schlutter (ML4CPS, 2018)

Unsupervised Anomaly Detection in Production Lines. - Alexander Graß; Christian Beecks; José Angel Carvajal Soto (ML4CPS, 2018)

Video retrieval in laparoscopic video recordings with dynamic content descriptors. - Klaus Schoeffmann; Heinrich Husslein; Sabrina Kletz; Stefan Petscharnig; Bernd Münzer; Christian Beecks (Multim. Tools Appl., 2018)

Ptolemaic Indexing for Managing and Querying Internet of Things (IoT) Data. - Christian Beecks; Fabian Berns; Kjeld Willy Schmidt (IEEE BigData, 2019)

A New Approach for Efficient Structure Discovery in IoT. - Fabian Berns; Kjeld Willy Schmidt; Alexander Grass; Christian Beecks (IEEE BigData, 2019)

Gaussian Processes for Anomaly Description in Production Environments. - Christian Beecks; Kjeld Willy Schmidt; Fabian Berns; Alexander Graß (EDBT/ICDT Workshops, 2019)

V3C1 Dataset: An Evaluation of Content Characteristics. - Fabian Berns; Luca Rossetto; Klaus Schoeffmann; Christian Beecks; George Awad (ICMR, 2019)

lifeXplore at the Lifelog Search Challenge 2019. - Andreas Leibetseder; Bernd Münzer; Manfred Jürgen Primus; Sabrina Kletz; Klaus Schoeffmann; Fabian Berns; Christian Beecks (LSC@ICMR, 2019)

Automatic Gaussian Process Model Retrieval for Big Data. - Fabian Berns; Christian Beecks (CIKM, 2020)

Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning. - Fabian Berns; Christian Beecks (DATA, 2020)

Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes. - Fabian Berns; Christian Beecks (KDIR, 2020)

Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses. - Fabian Berns; Timo Ramsdorf; Christian Beecks (ICPR Workshops (4), 2020)

3CS Algorithm for Efficient Gaussian Process Model Retrieval. - Fabian Berns; Kjeld Schmidt; Ingolf Bracht; Christian Beecks (ICPR, 2020)

Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. - Fabian Berns; Markus Lange-Hegermann; Christian Beecks (IN4PL, 2020)

MetaMorph: AI Assistance to Transform Lo-Fi Sketches to Higher Fidelities. - Vinoth Pandian Sermuga Pandian; Sarah Suleri; Christian Beecks; Matthias Jarke (OZCHI, 2020)

Automated Kernel Search for Gaussian Processes on Data Streams. - Jan David Hüwel; Fabian Berns; Christian Beecks (IEEE BigData, 2021)

LOGIC: Probabilistic Machine Learning for Time Series Classification. - Fabian Berns; Jan David Hüwel; Christian Beecks (ICDM, 2021)

On Kernel Search Based Gaussian Process Anomaly Detection. - Jan David Hüwel; Andreas Besginow; Fabian Berns; Markus Lange-Hegermann; Christian Beecks (IN4PL (Revised Selected Papers), 2021)

knowlEdge Project -Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0. - 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; et al. (INDIN, 2021)

Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes. - Fabian Berns; Christian Beecks (SDM, 2021)

Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data. - Fabian Berns; Christian Beecks (SDM, 2021)

Local Gaussian Process Model Inference Classification for Time Series Data. - Fabian Berns; Joschka Hannes Strueber; Christian Beecks (SSDBM, 2021)

Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets. - Jan David Hüwel; Anne Gresch; Tim Berger; Martina Düfer; Christian Beecks (DEXA (2), 2022)

Tracing Patterns in Electrophysiological Time Series Data. - Jan David Hüwel; Anne Gresch; Fabian Berns; Ruben Koch; Martina Düfer; Christian Beecks (DSAA, 2022)

GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. - Till Döhmen; Madelon Hulsebos; Christian Beecks; Sebastian Schelter (ICDE Workshops, 2022)

Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery. - Alexander Graß; Till Döhmen; Christian Beecks (ICDE Workshops, 2022)

Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification. - Georg Stefan Schlake; Jan David Hüwel; Fabian Berns; Christian Beecks (ICDE Workshops, 2022)

A Comparative Performance Analysis of Fast K-Means Clustering Algorithms. - Christian Beecks; Fabian Berns; Jan David Hüwel; Andrea Linxen; Georg Stefan Schlake; Tim Düsterhus (iiWAS, 2022)

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. - Jan David Hüwel; Florian Haselbeck; Dominik G. Grimm; Christian Beecks (KI, 2022)

Interpreting Black-box Machine Learning Models for High Dimensional Datasets. - Md. Rezaul Karim 001; Md Shajalal; Alexander Graß; Till Döhmen; Sisay Adugna Chala; Christian Beecks; Stefan Decker (CoRR, 2022)

Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms. - Fabian Berns; Jan David Hüwel; Christian Beecks (SN Comput. Sci., 2022)

A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information. - Alexander Graß; Christian Beecks; Sisay Adugna Chala; Christoph Lange 002; Stefan Decker (ADBIS (Short Papers), 2023)

Knowledge Graphs for Competency-Based Education. - Andrea Linxen; Florian Endel; Simone Opel; Christian Beecks (IEEE Big Data, 2023)

Towards Automated Clustering. - Georg Stefan Schlake; Christian Beecks (IEEE Big Data, 2023)

Prototyping a Virtual Tutor with Modular Teaching Styles. - Andrea Linxen; Simone Opel; Stephanie Ebbing; Christian Beecks (DELFI, 2023)

Gaussian Process Component Mining with the Apriori Algorithm. - Jan David Hüwel; Christian Beecks (DEXA (2), 2023)

Interpreting Black-box Machine Learning Models for High Dimensional Datasets. - Md. Rezaul Karim 001; Md Shajalal; Alexander Graß; Till Döhmen; Sisay Adugna Chala; Alexander Boden; Christian Beecks; Stefan Decker (DSAA, 2023)

Risk Identification of Data Science Projects: A Literature Review. - Maike Holtkemper; Maria Potanin; Alexander Oberst; Christian Beecks (LWDA, 2023)

Empowering Data Science Teams: How Automation Frameworks Address Competency Gaps Across Project Lifecycles. - Maike Holtkemper; Christian Beecks (IEEE Big Data, 2024)

Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence Clustering. - Jan David Hüwel; Georg Stefan Schlake; Kevin Albrechts; Christian Beecks (IEEE Big Data, 2024)

Ontology-driven knowledge base for digital humanities: Restructuring knowledge organization at the library of the Folkwang University of the Arts. - Andrea Linxen; Vera-Maria Schmidt; Harald Klinke; Christian Beecks (IEEE Big Data, 2024)

The Skyline Operator to Find the Needle in the Haystack for Automated Clustering. - Georg Stefan Schlake; Christian Beecks (IEEE Big Data, 2024)

Automated Exploratory Clustering. - Georg Stefan Schlake; Max Pernklau; Christian Beecks (IEEE Big Data, 2024)

Fault Detection in Transmission Production Lines Based on Imbalanced Multivariate Time Series. - Emeka Ndupuechi; Christian Beecks (BigDataService, 2024)

Discovering Structural Regularities in Time Series via Gaussian Processes. - Jan David Hüwel; Christian Beecks (DSAA, 2024)

Validating Arbitrary Shaped Clusters - A Survey. - Georg Stefan Schlake; Christian Beecks (DSAA, 2024)

Frequent Component Analysis for Large Time Series Databases with Gaussian Processes. - Jan David Hüwel; Christian Beecks (EDBT, 2024)

Entwicklung einer KI für automatisierte Tierschutzkontrollen in der Schweineschlachtung. - Christian Beecks; Alexander Graß; Anandraj Amalraj; Marc Jentsch; Felix Kitschke; Maximilian Norz; Patric Schäffer (INFORMATIK, 2024)

Towards Ptolemaic metric properties of the z-normalized Euclidean distance for multivariate time series indexing. - Max Pernklau; Christian Beecks (ICDEW, 2024)

Structural and Semantic Data Layers in Time Series Analyses. - Alexander Graß; Christian Beecks; Stefan Decker (IDEAL (1), 2024)

What Students Should Learn and Teachers Must Know About Artificial Intelligence. - Simone Opel; Andrea Linxen; Christian Beecks (IDEAL (2), 2024)

Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes. - Christian Beecks; Anandraj Amalraj; Alexander Graß; Marc Jentsch; Felix Kitschke; Maximilian Norz; Patric Schäffer (KI, 2024)

Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. - Jan David Hüwel; Georg Stefan Schlake; Kevin Albrechts; Christian Beecks (SISAP, 2024)

On the Laplace Approximation as Model Selection Criterion for Gaussian Processes. - Andreas Besginow; Jan David Hüwel; Thomas Pawellek; Christian Beecks; Markus Lange-Hegermann (CoRR, 2024)

AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0. - 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; et al. (Syst., 2024)

Extending K-Means Clustering with Ptolemy's Inequality. - Max Pernklau; Nikita Averitchev; Christian Beecks (BTW, 2025)

Towards an Ontology for Representing Time Series Knowledge: Motivation, Requirements and Concept. - Alexander Graß; Rohit A. Deshmukh; Christian Beecks; Stefan Decker (CAiSE Forum, 2025)

Towards a Standardized Data Science Competence Framework: A Literature Review Approach. - Maria Potanin; Maike Holtkemper; Tobias Golz; Christian Beecks (CSEDU (2), 2025)

Implementing Learning Paths into Data Science Courses - a Qualitative Approach. - Maria Potanin; Maike Holtkemper; Simone Opel; Andrea Linxen; Christian Beecks; Tobias Golz (EDUCON, 2025)