Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
2024 |
AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0
Alberti, Enrico; Alvarez-Napagao, Sergio; Anaya, Victor; Barroso, Marta; Barrué, Cristian; Beecks, Christian; Bergamasco, Letizia; Chala, Sisay Adugna; Giménez-Ábalos, Víctor; Graß, Alexander; Hinjos, Daniel; Holtkemper, Maike; Jakubiak, Natalia; Nizamis, Alexandros G.; Pristeri, Edoardo; Sànchez-Marrè, Miquel; Schlake, Georg Stefan; Scholz, Jona; Scivoletto, Gabriele; Walter, Stefan |
Zeitschriftenaufsatz Journal Article
|
2024 |
Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Slaughtering Processes
Amalraj, Anandraj; Graß, Alexander; Jentsch, Marc; Kitschke, Felix; Norz, Maximilian; Schäffer, Patric; Beecks, Christian |
Paper
|
2023 |
A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information
Graß, Alexander; Beecks, Christian; Chala, Sisay Adugna; Lange-Bever, Christoph; Decker, Stefan |
Konferenzbeitrag Conference Paper
|
2022 |
Automated Model Inference for Gaussian Processes
Berns, F.; Hüwel, J.; Beecks, C. |
Zeitschriftenaufsatz Journal Article
|
2022 |
Tracing Patterns in Electrophysiological Time Series Data
Hüwel, Jan; Gresch, Anne; Berns, Fabian; Koch, Ruben; Düfer, Martina; Beecks, Christian |
Konferenzbeitrag Conference Paper
|
2022 |
Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets
Hüwel, Jan David; Gresch, Anne; Berger, Tim; Düfer, Martina; Beecks, Christian |
Konferenzbeitrag Conference Paper
|
2022 |
Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling
Hüwel, Jan David; Haselbeck, Florian; Grimm, Dominik; Beecks, Christian |
Konferenzbeitrag Conference Paper
|
2022 |
A Comparative Performance Analysis of Fast K-Means Clustering Algorithms
Beecks, Christian; Berns, Fabian; Hüwel, Jan David; Linxen, Andrea; Schlake, Georg Stefan; Düsterhus, Tim |
Konferenzbeitrag Conference Paper
|
2022 |
Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification
Schlake, Georg Stefan; Hüwel, Jan David; Berns, Fabian; Beecks, Christian |
Konferenzbeitrag Conference Paper
|
2022 |
GitSchemas: A Dataset for Automating Relational Data Preparation Tasks
Döhmen, Till; Hulsebos, Madelon; Beecks, Christian; Schelter, Sebastian |
Konferenzbeitrag Conference Paper
|
2022 |
Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery
Graß, Alexander; Döhmen, Till; Beecks, Christian |
Konferenzbeitrag Conference Paper
|
2021 |
3CS algorithm for efficient Gaussian process model retrieval
Berns, F.; Schmidt, K.; Bracht, I.; Beecks, C. |
Konferenzbeitrag Conference Paper
|
2021 |
knowlEdge Project - Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0
Alvarez-Napagao, Sergio; Ashmore, Boki; Barroso, Marta; Barrué, Cristian; Beecks, Christian; Berns, Fabian; Bosi, Ilaria; Chala, Sisay Adugna; Ciulli, Nicola; Garcia-Gasulla, Marta; Graß, Alexander; Ioannidis, Dimosthenis; Jakubiak, Natalia; Köpke, Karl; Lämsä, Ville; Megias, Pedro; Nizamis, Alexandros; Pastrone, Claudio; Rossini, Rosaria; Sànchez-Marrè, Miquel; Ziliotti, Luca |
Konferenzbeitrag Conference Paper
|
2020 |
Towards large-scale gaussian process models for efficient bayesian machine learning
Berns, F.; Beecks, C. |
Konferenzbeitrag Conference Paper
|
2020 |
Large-scale retrieval of bayesian machine learning models for time series data via gaussian processes
Berns, F.; Beecks, C. |
Konferenzbeitrag Conference Paper
|
2020 |
Automatic Gaussian Process Model Retrieval for Big Data
Berns, F.; Beecks, C. |
Konferenzbeitrag Conference Paper
|
2019 |
Data analysis and visualization framework in the manufacturing decision support system of COMPOSITION project
Vafeiadis, T.; Kalatzis, D.; Nizamis, A.; Ioannidis, D.; Apostolou, K.; Metaxa, I.N.; Charisi, V.; Beecks, C.; Insolvibile, G.; Pardi, M.; Vergori, P.; Tzovaras, D. |
Zeitschriftenaufsatz Journal Article
|
2019 |
A New Approach for Efficient Structure Discovery in IoT
Berns, F.; Schmidt, K.; Grass, A.; Beecks, C. |
Konferenzbeitrag Conference Paper
|
2019 |
An Interactive Interface for Bulk Software Deployment in IoT
Tavakolizadeh, Farshid; Zhang, Hanbing; Adugna Chala, Sisay |
Konferenzbeitrag Conference Paper
|
2019 |
Unsupervised anomaly detection in production lines
Graß, Alexander; Beecks, Christian; Carvajal Soto, Jose Angel |
Konferenzbeitrag Conference Paper
|
2019 |
Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project
Beecks, Christian; Devasya, Shreekantha; Schlutter, Ruben |
Konferenzbeitrag Conference Paper
|
2018 |
Video retrieval in laparoscopic video recordings with dynamic content descriptors
Schoeffmann, K.; Husslein, H.; Kletz, S.; Petscharnig, S.; Muenzer, B.; Beecks, C. |
Zeitschriftenaufsatz Journal Article
|
2018 |
Metric Indexing for Efficient Data Access in the Internet of Things
Beecks, Christian; Grass, Alexander; Devasya, Shreekantha |
Konferenzbeitrag Conference Paper
|
2018 |
Efficient Point-based Pattern Search in 3D Motion Capture Databases
Beecks, Christian; Graß, Alexander |
Konferenzbeitrag Conference Paper
|
2018 |
Smart data and the industrial internet of things
Beecks, C.; Rasheed, H.; Grass, A.; Devasya, S.; Jentsch, M.; Soto, J.A.C.; Tavakolizadeh, F.; Linnemann, A.; Eisenhauer, M. |
Aufsatz in Buch Book Article
|
2017 |
Industry 4.0: Mining physical defects in production of surface-mount devices
Tavakolizadeh, Farshid; Carvajal Soto, José Ángel; Gyulai, Dávid; Beecks, Christian |
Konferenzbeitrag Conference Paper
|
2017 |
Similarity search and applications
Beecks, C.; Borutta, F.; Kröger, P.; Seidl, T. |
Konferenzbeitrag Conference Paper
|