HCI-Patterns for Developing Mobile Apps and Digital Video-Assist-Technology for the Film Set. - Christian Märtin; Anthony Stein; Bernhard Prell; Andreas Kesper (HCI (1), 2014)

Task Execution in Distributed Smart Systems. - Uwe Jänen; Carsten Grenz; Sarah Edenhofer; Anthony Stein; Jürgen Brehm; Jörg Hähner (IDCS, 2015)

Augmenting the Algorithmic Structure of XCS by Means of Interpolation. - Anthony Stein; Dominik Rauh; Sven Tomforde; Jörg Hähner (ARCS, 2016)

Interpolation-based classifier generation in XCSF. - Anthony Stein; Christian Eymüller; Dominik Rauh; Sven Tomforde; Jörg Hähner (CEC, 2016)

Distributed resource allocation as co-evolution problem. - Sven Tomforde; David Meier; Anthony Stein; Sebastian von Mammen (CEC, 2016)

Dealing with Unforeseen Situations in the Context of Self-Adaptive Urban Traffic Control: How to Bridge the Gap. - Anthony Stein; Sven Tomforde; Dominik Rauh; Jörg Hähner (ICAC, 2016)

Ensemble Time Series Forecasting with XCSF. - Matthias Sommer; Anthony Stein; Jörg Hähner (SASO, 2016)

Evolutionary Online Machine Learning from Imbalanced Data. - Anthony Stein (FAS*W@SASO/ICCAC, 2016)

Local ensemble weighting in the context of time series forecasting using XCSF. - Matthias Sommer; Anthony Stein; Jörg Hähner (SSCI, 2016)

Toward curious learning classifier systems: combining XCS with active learning concepts. - Anthony Stein; Roland Maier; Jörg Hähner (GECCO (Companion), 2017)

An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection. - Andreas Margraf; Anthony Stein; Leonhard Engstler; Steffen Geinitz; Jörg Hähner (ICMLA, 2017)

Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS. - Anthony Stein; Stefan Rudolph; Sven Tomforde; Jörg Hähner (IJCCI, 2017)

Interpolation in the eXtended Classifier System: An architectural perspective. - Anthony Stein; Dominik Rauh; Sven Tomforde; Jörg Hähner (J. Syst. Archit., 2017)

What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSF. - Anthony Stein; Simon Menssen; Jörg Hähner (GECCO, 2018)

Self-Improving System Integration - Status and Challenges after Five Years of SISSY. - Kirstie L. Bellman; Jean Botev; Ada Diaconescu; Lukas Esterle; Christian Gruhl; Christopher Landauer; Peter R. Lewis 001; Anthony Stein; Sven Tomforde; Rolf P. Würtz (FAS*W@SASO/ICAC, 2018)

A Concept for Proactive Knowledge Construction in Self-Learning Autonomous Systems. - Anthony Stein; Sven Tomforde; Ada Diaconescu; Jörg Hähner; Christian Müller-Schloer (FAS*W@SASO/ICAC, 2018)

A survey of formal theoretical advances regarding XCS. - David Pätzel; Anthony Stein; Jörg Hähner (GECCO (Companion), 2019)

Learning classifier systems: from principles to modern systems. - Anthony Stein (GECCO (Companion), 2019)

Reducing Search Space of Genetic Algorithms for Fast Black Box Attacks on Image Classifiers. - Julius Brandl; Nicolas Breinl; Maximilian Demmler; Lukas Hartmann; Jörg Hähner; Anthony Stein (KI, 2019)

CHARIOT - Towards a Continuous High-Level Adaptive Runtime Integration Testbed. - Chloe M. Barnes; Kirstie L. Bellman; Jean Botev; Ada Diaconescu; Lukas Esterle; Christian Gruhl; Christopher Landauer; Peter R. Lewis 001; Phyllis R. Nelson; Anthony Stein; Christopher Stewart; Sven Tomforde (FAS*W@SASO/ICAC, 2019)

Transfer Learning is a Crucial Capability of Intelligent Systems Self-Integrating at Runtime. - Anthony Stein; Sven Tomforde (FAS*W@SASO/ICAC, 2019)

Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems. - Anthony Stein (2019)

An overview of LCS research from IWLCS 2019 to 2020. - David Pätzel; Anthony Stein; Masaya Nakata (GECCO Companion, 2020)

Generic approaches for parallel rule matching in learning classifier systems. - Lukas Rosenbauer; Anthony Stein; Jörg Hähner (GECCO Companion, 2020)

XCS as a reinforcement learning approach to automatic test case prioritization. - Lukas Rosenbauer; Anthony Stein; Roland Maier; David Pätzel; Jörg Hähner (GECCO Companion, 2020)

XCS classifier system with experience replay. - Anthony Stein; Roland Maier; Lukas Rosenbauer; Jörg Hähner (GECCO, 2020)

Learning classifier systems: from principles to modern systems. - Anthony Stein; Masaya Nakata (GECCO Companion, 2020)

Bootstrapping a DQN Replay Memory with Synthetic Experiences. - Wenzel Baron Pilar von Pilchau; Anthony Stein; Jörg Hähner (IJCCI, 2020)

XCSF for Automatic Test Case Prioritization. - Lukas Rosenbauer; Anthony Stein; David Pätzel; Jörg Hähner (IJCCI, 2020)

Metaheuristics for the Minimum Set Cover Problem: A Comparison. - Lukas Rosenbauer; Anthony Stein; Helena Stegherr; Jörg Hähner (IJCCI, 2020)

An Artificial Immune System for Adaptive Test Selection. - Lukas Rosenbauer; Anthony Stein; Jörg Hähner (SSCI, 2020)

XCSF with Experience Replay for Automatic Test Case Prioritization. - Lukas Rosenbauer; Anthony Stein; David Pätzel; Jörg Hähner (SSCI, 2020)

Reflective Learning Classifier Systems for Self-Adaptive and Self-Organising Agents. - Anthony Stein; Sven Tomforde (ACSOS-C, 2021)

An Organic Computing System for Automated Testing. - Lukas Rosenbauer; David Pätzel; Anthony Stein; Jörg Hähner (ARCS, 2021)

Transfer Learning for Automated Test Case Prioritization Using XCSF. - Lukas Rosenbauer; David Pätzel; Anthony Stein; Jörg Hähner (EvoApplications, 2021)

An Artificial Immune System for Black Box Test Case Selection. - Lukas Rosenbauer; Anthony Stein; Jörg Hähner (EvoCOP, 2021)

On the Effects of Absumption for XCS with Continuous-Valued Inputs. - Alexander R. M. Wagner; Anthony Stein (EvoApplications, 2021)

Adopting lexicase selection for michigan-style learning classifier systems with continuous-valued inputs. - Alexander R. M. Wagner; Anthony Stein (GECCO Companion, 2021)

An Evolutionary Calibration Approach for Touch Interface Filter Chains. - Lukas Rosenbauer; Johannes Maier; Daniel Gerber; Anthony Stein; Jörg Hähner (ICINCO, 2021)

A Genetic Algorithm for HMI Test Infrastructure Fine Tuning. - Lukas Rosenbauer; Anthony Stein; Jörg Hähner (ICINCO, 2021)

A Germinal Centre Artificial Immune System for Software Test Suite Reduction. - Lukas Rosenbauer; Anthony Stein; Jörg Hähner (LIFELIKE, 2021)

Lifelike Computing Systems. - Anthony Stein; Sven Tomforde; Jean Botev; Peter R. Lewis 001 (LIFELIKE, 2021)

Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments. - Wenzel Pilar von Pilchau; Anthony Stein; Jörg Hähner (Algorithms, 2021)

A Case Study of Vehicle Route Optimization. - Veronika Lesch; Maximilian König; Samuel Kounev; Anthony Stein; Christian Krupitzer (CoRR, 2021)

Self-improving system integration: Mastering continuous change. - Kirstie L. Bellman; Jean Botev; Ada Diaconescu; Lukas Esterle; Christian Gruhl; Christopher Landauer; Peter R. Lewis 001; Phyllis R. Nelson; Evangelos Pournaras; Anthony Stein; Sven Tomforde (Future Gener. Comput. Syst., 2021)

A Context Aware and Self-improving Monitoring System for Field Vegetables. - Nils Lüling; Jonas Boysen; Henning Kuper; Anthony Stein (ARCS, 2022)

Semi-model-Based Reinforcement Learning in Organic Computing Systems. - Wenzel Pilar von Pilchau; Anthony Stein; Jörg Hähner (ARCS, 2022)

AI-supported data annotation in the context of UAV-based weed detection in sugar beet fields using Deep Neural Networks. - Jonas Boysen; Anthony Stein (GIL Jahrestagung, 2022)

Interpolated Experience Replay for Continuous Environments. - Wenzel Pilar von Pilchau; Anthony Stein; Jörg Hähner (IJCCI, 2022)

Tackling the rich vehicle routing problem with nature-inspired algorithms. - Veronika Lesch; Maximilian König; Samuel Kounev; Anthony Stein; Christian Krupitzer (Appl. Intell., 2022)

A Learning Classifier System for Automated Test Case Prioritization and Selection. - Lukas Rosenbauer; David Pätzel; Anthony Stein; Jörg Hähner (SN Comput. Sci., 2022)

Correction: A Learning Classifier System for Automated Test Case Prioritization and Selection. - Lukas Rosenbauer; David Pätzel; Anthony Stein; Jörg Hähner (SN Comput. Sci., 2022)

Mechanisms to Alleviate Over-Generalization in XCS for Continuous-Valued Input Spaces. - Alexander R. M. Wagner; Anthony Stein (SN Comput. Sci., 2022)

Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming. - Andreas Margraf; Henning Cui; Anthony Stein; Jörg Hähner (ACSOS, 2023)

Federated Learning in Agriculture: Potential and Challenges. - Mortesa Hussaini; Anthony Stein (GI-Jahrestagung, 2023)

Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz - ein plattformbasierter Ansatz für Forschung und Industrie. - Sebastian Bosse; Karsten Berns; Johannes Bosch; Jörg Dörr; Frederick Charles Eichhorn; Peter Eisert; Christoph Fischer; Eike Gassen; Michael Gerstenberger; Heike Gerighausen; Jonathan Heil; Anna Hilsmann; et al. (GIL Jahrestagung, 2023)

Towards crop yield prediction using Automated Machine Learning. - Jonathan Heil; Juan Manuel Valencia; Anthony Stein (GIL Jahrestagung, 2023)

Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences. - Wenzel Pilar von Pilchau; David Pätzel; Anthony Stein; Jörg Hähner (IJCNN, 2023)

Special Issue on Lifelike Computing Systems. - Anthony Stein; Sven Tomforde; Jean Botev; Peter R. Lewis 001 (Artif. Life, 2023)

Evolutionary Touch Filter Chain Calibration. - Daniel Gerber; Lukas Rosenbauer; Pia Lindner; Johannes Maier; Anthony Stein; Jörg Hähner (SN Comput. Sci., 2023)

A Germinal Center Artificial Immune System for Black Box Test Selection. - Lukas Rosenbauer; Anthony Stein; Jörg Hähner (SN Comput. Sci., 2023)

Synthesizing Training Data for Intelligent Weed Control Systems Using Generative AI. - Sourav Modak; Anthony Stein (ARCS, 2024)

Enhancing Weed Detection Performance by Means of GenAI-Based Image Augmentation. - Sourav Modak; Anthony Stein (ECCV Workshops (3), 2024)

Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed Detection. - Ahmet Oguz Saltik; Alicia Allmendinger; Anthony Stein (ECCV Workshops (3), 2024)

Multi-level Personalised Federated Learning: A concept for data sovereign machine learning in digital agriculture. - Mortesa Hussaini; Anthony Stein (INFORMATIK, 2024)

Adaptive real-time crop row detection through enhancing a traditional computer vision approach. - Mortesa Hussaini; Max Voigt; Anthony Stein (GIL, 2024)

Excretion Detection in Pigsties Using Convolutional and Transformerbased Deep Neural Networks. - Simon Mielke; Anthony Stein (CoRR, 2024)

Pansharpening Low-Altitude Multispectral Images of Potato Plants Using a Generative Adversarial Network. - Sourav Modak; Jonathan Heil; Anthony Stein (Remote. Sens., 2024)

Accelerating weed detection for smart agricultural sprayers using a Neural Processing Unit. - Nils Herterich; Kai Liu; Anthony Stein (Comput. Electron. Agric., 2025)

Generative AI-based pipeline architecture for increasing training efficiency in intelligent weed control systems. - Sourav Modak; Anthony Stein (J. Syst. Archit., 2025)

Assessing the Capability of YOLO- and Transformer-based Object Detectors for Real-time Weed Detection. - Alicia Allmendinger; Ahmet Oguz Saltik; Gerassimos Peteinatos; Anthony Stein; Roland Gerhards (CoRR, 2025)

Exploring Model Quantization in GenAI-based Image Inpainting and Detection of Arable Plants. - Sourav Modak; Ahmet Oguz Saltik; Anthony Stein (CoRR, 2025)

Improving Lightweight Weed Detection via Knowledge Distillation. - Ahmet Oguz Saltik; Max Voigt; Sourav Modak; Mike Beckworth; Anthony Stein (CoRR, 2025)