Jörg Hähner

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 124

Top Venues

University of Stuttgart (PHD)

Education History

University of Stuttgart

PHD

Publications

Michael Heider, Maximilian Krischan, Roman Sraj, Jörg Hähner
Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules. CEC (2024)
Jonathan Wurth, Helena Stegherr, Michael Heider, Jörg Hähner
GRAHF: A Hyper-Heuristic Framework for Evolving Heterogeneous Island Model Topologies. GECCO (2024)
David Pätzel, Richard Nordsieck, Jörg Hähner
Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. GECCO Companion (2024)
Daniel Gerber, Lukas Meitz, Lukas Rosenbauer, Jörg Hähner
Unsupervised Anomaly Detection in Continuous Integration Pipelines. ENASE (2024)
David Pätzel, Richard Nordsieck, Jörg Hähner
Measuring Similarities in Model Structure of Metaheuristic Rule Set Learners. EvoApplications@EvoStar (2024)
David Pätzel, Richard Nordsieck, Jörg Hähner
A Closer Look at Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. GECCO Companion (2024)
Daniel Gerber, Lukas Rosenbauer, Pia Lindner, Johannes Maier, Anthony Stein, Jörg Hähner
Evolutionary Touch Filter Chain Calibration. SN Comput. Sci. 4 (1) (2023)
Andreas Margraf, Henning Cui, Anthony Stein, Jörg Hähner
Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming. ACSOS (2023)
Andreas Margraf, Henning Cui, Stefan Baumann, Jörg Hähner
Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detection. IJCCI (2023)
Henning Cui, David Pätzel, Andreas Margraf, Jörg Hähner
Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming. FOGA (2023)
Markus Görlich-Bucher, Michael Heider, Tobias Ciemala, Jörg Hähner
A Decision-Theoretic Approach for Prioritizing Maintenance Activities in Organic Computing Systems. ARCS (2023)
Henning Cui, Markus Görlich-Bucher, Lukas Rosenbauer, Jörg Hähner, Daniel Gerber
A Concept for Optimizing Motor Control Parameters Using Bayesian Optimization. ICINCO (1) (2023)
David Pätzel, Michael Heider, Jörg Hähner
Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms. GECCO Companion (2023)
Daniel Gerber, Urwashi Kapasiya, Lukas Rosenbauer, Jörg Hähner
Automation of User Interface Testing by Reinforcement Learning-Based Monkey Agents. CCE (2023)
Helena Stegherr, Michael Heider, Jörg Hähner
Assisting Convergence Behaviour Characterisation with Unsupervised Clustering. IJCCI (2023)
Lukas Meitz, Michael Heider, Thorsten Schöler, Jörg Hähner
On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines. DATA (2023)
Jonathan Wurth, Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner
Fast, Flexible, and Fearless: A Rust Framework for the Modular Construction of Metaheuristics. GECCO Companion (2023)
Andreas Margraf, Henning Cui, Simon Heimbach, Jörg Hähner, Steffen Geinitz, Stephan Rudolph
Model-Driven Optimisation of Monitoring System Configurations for Batch Production. MODELSWARD (2023)
Henning Cui, Andreas Margraf, Jörg Hähner
Equidistant Reorder Operator for Cartesian Genetic Programming. IJCCI (2023)
Markus Görlich-Bucher, Michael Heider, Jörg Hähner
Predicting Physical Disturbances in Organic Computing Systems Using Automated Machine Learning. ARCS (2023)
Wenzel Pilar von Pilchau, David Pätzel, Anthony Stein, Jörg Hähner
Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences. IJCNN (2023)
Lukas Rosenbauer, Anthony Stein, Jörg Hähner
A Germinal Center Artificial Immune System for Black Box Test Selection. SN Comput. Sci. 4 (1) (2023)
Michael Heider, Helena Stegherr, Roman Sraj, David Pätzel, Jonathan Wurth, Jörg Hähner
SupRB in the context of rule-based machine learning methods: A comparative study. Appl. Soft Comput. 147 (2023)
Henning Cui, Andreas Margraf, Michael Heider, Jörg Hähner
Towards Understanding Crossover for Cartesian Genetic Programming. IJCCI (2023)
Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner
Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search. SN Comput. Sci. 4 (6) (2023)
Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner
Assessing Model Requirements for Explainable AI: A Template and Exemplary Case Study. Artif. Life 29 (4) (2023)
Richard Nordsieck, André Schweizer, Michael Heider, Jörg Hähner
PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing. CoRR (2023)
Henning Cui, Andreas Margraf, Jörg Hähner
Refining Mutation Variants in Cartesian Genetic Programming. BIOMA (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System. CoRR (2022)
Maximilian Gruber, Wenzel Pilar von Pilchau, Varun Gowtham, Nikolaos-Stefanos Koutrakis, Nicolas Schönborn, Sascha Eichstädt, Jörg Hähner, Marius Iulian Corici, Thomas Magedanz, Julian Polte, Eckart Uhlmann
Application of Uncertainty-Aware Sensor Fusion in Physical Sensor Networks. I2MTC (2022)
Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner
Interpolated Experience Replay for Continuous Environments. IJCCI (2022)
Richard Nordsieck, Michael Heider, Alwin Hoffmann, Jörg Hähner
Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing. ICSC (2022)
Michael Heider, Helena Stegherr, Richard Nordsieck, Jörg Hähner
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. CoRR (2022)
Richard Nordsieck, Michael Heider, Anton Hummel, Alwin Hoffmann, Jörg Hähner
Towards Models of Conceptual and Procedural Operator Knowledge. SemIIM (2022)
Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner
Correction: A Learning Classifier System for Automated Test Case Prioritization and Selection. SN Comput. Sci. 3 (6) (2022)
Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner
A Learning Classifier System for Automated Test Case Prioritization and Selection. SN Comput. Sci. 3 (5) (2022)
Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner
Semi-model-Based Reinforcement Learning in Organic Computing Systems. ARCS (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. CoRR (2022)
Jonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj, Jörg Hähner
Comparing different metaheuristics for model selection in a supervised learning classifier system. GECCO Companion (2022)
David Pätzel, Jörg Hähner
The Bayesian learning classifier system: implementation, replicability, comparison with XCSF. GECCO (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. BIOMA (2022)
Richard Nordsieck, Michael Heider, Anton Hummel, Jörg Hähner
A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural Knowledge. DL4KG@ISWC (2022)
Helena Stegherr, Michael Heider, Jörg Hähner
Classifying Metaheuristics: Towards a unified multi-level classification system. Nat. Comput. 21 (2) (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Separating rule discovery and global solution composition in a learning classifier system. GECCO Companion (2022)
Markus Görlich-Bucher, Jörg Hähner
Towards XCSF-based Identification of Physical Disturbances. LIFELIKE (2022)
Markus Görlich-Bucher, Jörg Hähner
XCSF under limited supervision. GECCO Companion (2022)
Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner
Approaches for Rule Discovery in a Learning Classifier System. IJCCI (2022)
Lukas Rosenbauer, Johannes Maier, Daniel Gerber, Anthony Stein, Jörg Hähner
An Evolutionary Calibration Approach for Touch Interface Filter Chains. ICINCO (2021)
Richard Sailer, Jörg Hähner
HTMT: High-Throughput Multipath Tunnelling for Asymmetric Paths. Networking (2021)
Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner
Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments. Algorithms 14 (8) (2021)
Lukas Rosenbauer, Anthony Stein, Jörg Hähner
An Artificial Immune System for Black Box Test Case Selection. EvoCOP (2021)
Lukas Rosenbauer, Anthony Stein, Jörg Hähner
A Germinal Centre Artificial Immune System for Software Test Suite Reduction. LIFELIKE (2021)
Helena Stegherr, Jörg Hähner
Analysing Metaheuristic Components. LIFELIKE (2021)
Helena Stegherr, Michael Heider, Leopold Luley, Jörg Hähner
Design of large-scale metaheuristic component studies. GECCO Companion (2021)
Richard Nordsieck, Michael Heider, Anton Winschel, Jörg Hähner
Knowledge Extraction via Decentralized Knowledge Graph Aggregation. ICSC (2021)
Richard Sailer, Jörg Hähner
A Comprehensive Evaluation of Different Approaches to Tunnelling over Multiple Paths. LCN (2021)
Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner
Transfer Learning for Automated Test Case Prioritization Using XCSF. EvoApplications (2021)
Andreas Wiedholz, Michael Heider, Richard Nordsieck, Andreas Angerer, Simon Dietrich, Jörg Hähner
CAD-based Grasp and Motion Planning for Process Automation in Fused Deposition Modelling. ICINCO (2021)
Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner
An Organic Computing System for Automated Testing. ARCS (2021)
Lukas Rosenbauer, Anthony Stein, Jörg Hähner
A Genetic Algorithm for HMI Test Infrastructure Fine Tuning. ICINCO (2021)
Michael Heider, Richard Nordsieck, Jörg Hähner
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems. LIFELIKE (2021)
Richard Sailer, Jörg Hähner
Flow-Aware Low-Latency Multipath Tunnelling. LCN (2021)
Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner
XCS as a reinforcement learning approach to automatic test case prioritization. GECCO Companion (2020)
Michael Heider, David Pätzel, Jörg Hähner
SupRB: A Supervised Rule-based Learning System for Continuous Problems. CoRR (2020)
Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner
Bootstrapping a DQN Replay Memory with Synthetic Experiences. IJCCI (2020)
Lukas Rosenbauer, Anthony Stein, Jörg Hähner
Generic approaches for parallel rule matching in learning classifier systems. GECCO Companion (2020)
Lukas Rosenbauer, Anthony Stein, Jörg Hähner
An Artificial Immune System for Adaptive Test Selection. SSCI (2020)
Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner
XCSF for Automatic Test Case Prioritization. IJCCI (2020)
Richard Sailer, Jörg Hähner
An Adaptive Flow-Aware Packet Scheduling Algorithm for Multipath Tunnelling. CoRR (2020)
Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner
XCS classifier system with experience replay. GECCO (2020)
Michael Heider, David Pätzel, Jörg Hähner
Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. GECCO Companion (2020)
Richard Nordsieck, Jörg Hähner
Interactive Knowledge-Guided Learning. ACSOS Companion (2020)
Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner
Evaluating the Effect of User-Given Guiding Attention on the Learning Process. ACSOS (2020)
Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis, Jawad Tayyub, Jörg Hähner, Sascha Eichstädt, Eckart Uhlmann, Julian Polte, Volker Frey, Alexander Willner
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems. CoRR (2020)
Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis, Jawad Tayyub, Jörg Hähner, Sascha Eichstädt, Eckart Uhlmann, Julian Polte, Volker Frey, Alexander Willner
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems. FedCSIS (Position Papers) (2020)
Lukas Rosenbauer, Anthony Stein, Helena Stegherr, Jörg Hähner
Metaheuristics for the Minimum Set Cover Problem: A Comparison. IJCCI (2020)
Andreas Margraf, Jörg Hähner, Philipp Braml, Steffen Geinitz
Towards Self-adaptive Defect Classification in Industrial Monitoring. DATA (2020)
Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner
XCSF with Experience Replay for Automatic Test Case Prioritization. SSCI (2020)
Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner
XCS Classifier System with Experience Replay. CoRR (2020)
Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner
Bootstrapping a DQN Replay Memory with Synthetic Experiences. CoRR (2020)
Julius Brandl, Nicolas Breinl, Maximilian Demmler, Lukas Hartmann, Jörg Hähner, Anthony Stein
Reducing Search Space of Genetic Algorithms for Fast Black Box Attacks on Image Classifiers. KI (2019)
Stefan Rudolph, Sven Tomforde, Jörg Hähner
Mutual Influence-aware Runtime Learning of Self-adaptation Behavior. ACM Trans. Auton. Adapt. Syst. 14 (1) (2019)
David Pätzel, Anthony Stein, Jörg Hähner
A survey of formal theoretical advances regarding XCS. GECCO (Companion) (2019)
Richard Sailer, Jörg Hähner
An Adaptive Flow-Aware Packet Scheduling Algorithm for Multipath Tunnelling. LCN (2019)
Richard Nordsieck, Michael Heider, Andreas Angerer, Jörg Hähner
Towards Automated Parameter Optimisation of Machinery by Persisting Expert Knowledge. ICINCO (1) (2019)
Stefan Rudolph, Sven Tomforde, Jörg Hähner
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes. CoRR (2019)
Anthony Stein, Sven Tomforde, Ada Diaconescu, Jörg Hähner, Christian Müller-Schloer
A Concept for Proactive Knowledge Construction in Self-Learning Autonomous Systems. FAS*W@SASO/ICAC (2018)
David Pätzel, Jörg Hähner
An algebraic description of XCS. GECCO (Companion) (2018)
Denis Kramer, Jörg Hähner
Beyond semantic interoperability in IoT ecosystems. IOT (2018)
Anthony Stein, Simon Menssen, Jörg Hähner
What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSF. GECCO (2018)
Matthias Sommer, Jörg Hähner
Learning Classifier Systems for Road Traffic Congestion Detection. VEHITS (2017)
Christian Heintz, Moritz Grunwald, Sarah Edenhofer, Jörg Hähner, Sebastian von Mammen
The game of flow - cellular automaton-based fluid simulation for realtime interaction. VRST (2017)
Anthony Stein, Roland Maier, Jörg Hähner
Toward curious learning classifier systems: combining XCS with active learning concepts. GECCO (Companion) (2017)
Anthony Stein, Stefan Rudolph, Sven Tomforde, Jörg Hähner
Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS. IJCCI (2017)
Andreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz, Jörg Hähner
An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection. ICMLA (2017)
Anthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner
Interpolation in the eXtended Classifier System: An architectural perspective. J. Syst. Archit. 75 (2017)
Matthias Sommer, Jörg Hähner
Adapting Signal Timings to Automated Incident Alarms within a Self-organised Traffic Control System. VEHITS (2017)
Anthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner
Augmenting the Algorithmic Structure of XCS by Means of Interpolation. ARCS (2016)
Sarah Edenhofer, Christopher Stifter, Sven Tomforde, Jan Kantert, Christian Müller-Schloer, Jörg Hähner
Comparison of Surveillance Strategies to Identify Undesirable Behaviour in Multi-Agent Systems. ICAART (1) (2016)
Stefan Rudolph, Sven Tomforde, Jörg Hähner
A Mutual Influence-based Learning Algorithm. ICAART (1) (2016)

Jörg Hähner.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jörg Hähner