Topology-oriented incremental computation of Voronoi diagrams of circular arcs and straight-line segments. - Martin Held; Stefan Huber 001 (Comput. Aided Des., 2009)

Computing straight skeletons of planar straight-line graphs based on motorcycle graphs. - Stefan Huber 001; Martin Held (CCCG, 2010)

Watermarking of 2D vector graphics with distortion constraint. - Stefan Huber 001; Roland Kwitt; Peter Meerwald; Martin Held; Andreas Uhl (ICME, 2010)

Approximating a Motorcycle Graph by a Straight Skeleton. - Stefan Huber 001; Martin Held (CCCG, 2011)

Theoretical and practical results on straight skeletons of planar straight-line graphs. - Stefan Huber 001; Martin Held (SCG, 2011)

Motorcycle graphs: Stochastic properties motivate an efficient yet simple implementation. - Stefan Huber 001; Martin Held (ACM J. Exp. Algorithmics, 2011)

What makes a Tree a Straight Skeleton? - Oswin Aichholzer; Howard Cheng; Satyan L. Devadoss; Thomas Hackl; Stefan Huber 001; Brian Li; Andrej Risteski (CCCG, 2012)

Computing Motorcycle Graphs Based on Kinetic Triangulations. - Willi Mann; Martin Held; Stefan Huber 001 (CCCG, 2012)

On Computing Straight Skeletons by Means of Kinetic Triangulations. - Peter Palfrader; Martin Held; Stefan Huber 001 (ESA, 2012)

A Fast Straight-Skeleton Algorithm Based on generalized Motorcycle Graphs. - Stefan Huber 001; Martin Held (Int. J. Comput. Geom. Appl., 2012)

Computing Straight Skeletons and Motorcycle Graphs: Theory and Practice. - Stefan Huber 001 (Shaker, 2012)

Recognizing Straight Skeletons and Voronoi Diagrams and Reconstructing Their Input. - Therese Biedl; Martin Held; Stefan Huber 001 (ISVD, 2013)

Straight Skeletons by Means of Voronoi Diagrams Under Polyhedral Distance Functions. - Stefan Huber 001; Oswin Aichholzer; Thomas Hackl; Birgit Vogtenhuber (CCCG, 2014)

Topology-Preserving Watermarking of Vector Graphics. - Stefan Huber 001; Martin Held; Peter Meerwald; Roland Kwitt (Int. J. Comput. Geom. Appl., 2014)

A stable multi-scale kernel for topological machine learning. - Jan Reininghaus; Stefan Huber 001; Ulrich Bauer; Roland Kwitt (CVPR, 2015)

Representing Directed Trees as Straight Skeletons. - Oswin Aichholzer; Therese Biedl; Thomas Hackl; Martin Held; Stefan Huber 001; Peter Palfrader; Birgit Vogtenhuber (GD, 2015)

Statistical Topological Data Analysis - A Kernel Perspective. - Roland Kwitt; Stefan Huber 001; Marc Niethammer; Weili Lin; Ulrich Bauer (NIPS, 2015)

Weighted straight skeletons in the plane. - Therese Biedl; Martin Held; Stefan Huber 001; Dominik Kaaser; Peter Palfrader (Comput. Geom., 2015)

Reprint of: Weighted straight skeletons in the plane. - Therese Biedl; Martin Held; Stefan Huber 001; Dominik Kaaser; Peter Palfrader (Comput. Geom., 2015)

A simple algorithm for computing positively weighted straight skeletons of monotone polygons. - Therese Biedl; Martin Held; Stefan Huber 001; Dominik Kaaser; Peter Palfrader (Inf. Process. Lett., 2015)

Planar Matchings for Weighted Straight Skeletons. - Therese Biedl; Stefan Huber 001; Peter Palfrader (Int. J. Comput. Geom. Appl., 2016)

Industrial Application of Artificial Intelligence to the Traveling Salesperson Problem. - Michael Lehenauer; Stefan Wintersteller; Martin Uray; Stefan Huber 001 (CoRR, 2021)

KI-Net: AI-Based Optimization in Industrial Manufacturing - A Project Overview. - Bernhard Freudenthaler; Jorge Martinez-Gil; Anna Fensel; Kai Höfig; Stefan Huber 001; Dirk Jacob (EUROCAST, 2022)

Ck-Continuous Spline Approximation with TensorFlow Gradient Descent Optimizers. - Stefan Huber 001; Hannes Waclawek (EUROCAST, 2022)

An Architecture for Deploying Reinforcement Learning in Industrial Environments. - Georg Schäfer; Reuf Kozlica; Stefan Wegenkittl; Stefan Huber 001 (EUROCAST, 2022)

Improvements for mlrose Applied to the Traveling Salesperson Problem. - Stefan Wintersteller; Martin Uray; Michael Lehenauer; Stefan Huber 001 (EUROCAST, 2022)

An OPC UA-based industrial Big Data architecture. - Eduard Hirsch; Simon Hoher; Stefan Huber 001 (INDIN, 2023)

A Mini Review on the utilization of Reinforcement Learning with OPC UA. - Simon Schindler; Martin Uray; Stefan Huber 001 (INDIN, 2023)

Digital Twins of Business Processes as Enablers for IT / OT Integration. - Hannes Waclawek; Georg Schäfer; Christoph Binder; Eduard Hirsch; Stefan Huber 001 (INDIN, 2023)

CSRX: A novel Crossover Operator for a Genetic Algorithm applied to the Traveling Salesperson Problem. - Martin Uray; Stefan Wintersteller; Stefan Huber 001 (CoRR, 2023)

Ck-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers. - Stefan Huber 001; Hannes Waclawek (CoRR, 2023)

IT-OT Integration from a Systems Engineering Perspective. - Georg Schäfer; Hannes Waclawek; Christoph Binder; Stefan Huber 001; Arndt Lüder (CoRR, 2023)

Topological Data Analysis in smart manufacturing processes - A survey on the state of the art. - Martin Uray; Barbara Giunti; Michael Kerber; Stefan Huber 001 (CoRR, 2023)

AsIf: Asset Interface Analysis of Industrial Automation Devices. - Thomas Rosenstatter; Christian Schäfer; Olaf Saßnick; Stefan Huber 001 (CSNet, 2024)

A Generative Model Based Honeypot for Industrial OPC UA Communication. - Olaf Sassnick; Georg Schäfer; Thomas Rosenstatter; Stefan Huber 001 (EUROCAST (3), 2024)

Quantitative Trend Analysis of Reinforcement Learning Algorithms in Production Systems. - Georg Schäfer; Tatjana Krau; Maximilian Schirl; Stefan Huber 001 (EUROCAST (2), 2024)

STRIDE-based Methodologies for Threat Modeling of Industrial Control Systems: A Review. - Olaf Saßnick; Thomas Rosenstatter; Christian Schäfer; Stefan Huber 001 (ICPS, 2024)

Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System. - Georg Schäfer; Jakob Rehrl; Stefan Huber 001; Simon Hirlaender (INDIN, 2024)

Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation. - Hannes Waclawek; Stefan Huber 001 (LION, 2024)

Neural Persistence Dynamics. - Sebastian Zeng; Florian Graf; Martin Uray; Stefan Huber 001; Roland Kwitt (NeurIPS, 2024)

Python-Based Reinforcement Learning on Simulink Models. - Georg Schäfer; Maximilian Schirl; Jakob Rehrl; Stefan Huber 001; Simon Hirlaender (CoRR, 2024)

Deep Learning-Based Time Series Forecasting for Industrial Discrete Process Data. - Olaf Sassnick; Thomas Rosenstatter; Andreas Unterweger; Stefan Huber 001 (ICPS, 2025)

The Crucial Role of Problem Formulation in Real-World Reinforcement Learning. - Georg Schäfer; Tatjana Krau; Jakob Rehrl; Stefan Huber 001; Simon Hirlaender (ICPS, 2025)

Energy Optimized Piecewise Polynomial Approximation Utilizing Modern Machine Learning Optimizers. - Hannes Waclawek; Stefan Huber 001 (CoRR, 2025)

Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control. - Georg Schäfer; Raphael Seliger; Jakob Rehrl; Stefan Huber 001; Simon Hirlaender (CoRR, 2025)

Topology-driven identification of repetitions in multi-variate time series. - Simon Schindler; Elias Steffen Reich; Saverio Messineo; Simon Hoher; Stefan Huber 001 (CoRR, 2025)