Towards Adaptive Models for Classification of Technical Objects. - Astrid Laubenheimer; Norbert Link (VMV, 2003)

Resistance Spot Welding Process Identification and Initialization Based on Self-Organizing Maps. - Heli Junno; Perttu Laurinen; Eija Haapalainen; Lauri Tuovinen; Juha Röning; Dietmar Zettel; Daniel Sampaio; Norbert Link; Michael Peschl (ICINCO (1), 2004)

Prototype Optimization for Temporarily and Spatially Distorted Time Series. - Bastian Hartmann; Ingo Schwab; Norbert Link (AAAI Spring Symposium: It's All in the Timing, 2010)

Echtzeit Fußgänger-Videoanalyse zur Unterstützung der Simulation des Personenverhaltens. - Ralph Majer; Norbert Link; Olaf Junker; Verena Strauss (GI Jahrestagung (1), 2010)

Gesture recognition with inertial sensors and optimized DTW prototypes. - Bastian Hartmann; Norbert Link (SMC, 2010)

Reusable Knowledge from Symbolic Regression Classification. - Ingo Schwab; Norbert Link (ICGEC, 2011)

Improving Expert Knowledge in Dynamic Process Monitoring by Symbolic Regression. - Ingo Schwab; Melanie Senn; Norbert Link (ICGEC, 2012)

Meta-process modeling methodology for process model generation in intelligent manufacturing. - João Reis 001; Gil Gonçalves 002; Norbert Link (IECON, 2017)

Model-Free Adaptive Optimal Control of Sequential Manufacturing Processes using Reinforcement Learning. - Johannes Dornheim; Norbert Link; Peter Gumbsch (CoRR, 2018)

Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes. - Johannes Dornheim; Norbert Link (CoRR, 2018)

Structure-Guided Processing Path Optimization with Deep Reinforcement Learning. - Johannes Dornheim; Lukas Morand; Samuel Zeitvogel; Tarek Iraki; Norbert Link; Dirk Helm (CoRR, 2020)

Neuromorphic Vision mit Spiking Neural Networks zur Sturzerkennung im betreuten Wohnen. - Sven Nitzsche; Brian Pachideh; Victor Pazmino Betancourt; Norbert Link; Christoph Schauer; Lukas Theurer; Valentin Haas; Philipp Marquardt; Sergey Biniaminov; Jürgen Becker 001 (GI-Jahrestagung, 2021)

A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization. - Tarek Iraki; Lukas Morand; Johannes Dornheim; Norbert Link; Dirk Helm (CoRR, 2021)

Deep reinforcement learning methods for structure-guided processing path optimization. - Johannes Dornheim; Lukas Morand; Samuel Zeitvogel; Tarek Iraki; Norbert Link; Dirk Helm (J. Intell. Manuf., 2022)

Generative models for capturing and exploiting the influence of process conditions on process curves. - Tarek Iraki; Norbert Link (J. Intell. Manuf., 2022)

Machine learning for structure-guided materials and process design. - Lukas Morand; Tarek Iraki; Johannes Dornheim; Stefan Sandfeld; Norbert Link; Dirk Helm (CoRR, 2023)

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties. - Tarek Iraki; Lukas Morand; Johannes Dornheim; Norbert Link; Dirk Helm (J. Intell. Manuf., 2024)