Publications

TitleAuthorsVenue/OutletType
Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed DetectionAhmet Oguz Saltik, Alicia Allmendinger, Anthony Stein 9th Computer Vision in Plant Phenotyping and Agriculture (CVPPA) Workshop at European Conference on Computer Vision (ECCV) 2024Conference Proceedings (peer-reviewed)
Enhancing Weed Detection Performance by Means of GenAI-based Image AugmentationSourav Modak, Anthony Stein9th Computer Vision in Plant Phenotyping and Agriculture (CVPPA) Workshop at European Conference on Computer Vision (ECCV) 2024Conference Proceedings (peer-reviewed)
Detection of Rumex spp. in Grassland using Multispectral Images and Deep LearningJonathan Heil, Anthony Stein81. International Conference LAND.TECHNIK 2024Conference Proceedings
Establishing resilient AI applications in agriculture by redundancy and graceful degradation: Two use casesSebastian Bökle, Marcus Müller, Waldemar Keil, Hans W. Griepentrog, Anthony SteinAgEng 2024Conference Proceedings
Comparison of Robot Concepts for New Sustainable Crop Production SystemsHans Werner Griepentrog, Anthony SteinSmart Agricultural TechnologyJournal Article
Multi-level Personalized Federated Learning: A concept for data sovereign machine learning in digital agricultureMortesa Hussaini, Anthony SteinGI Jahrestagung / Kolloquium Landwirtschaft der Zukunft (to appear)Conference Proceedings (peer-reviewed)
Synthetic Training Data for Intelligent Weed Control Systems Using Generative AISourav Modak, Anthony SteinARCS 2024 / Special Track on Organic Computing (to appear)Conference Proceedings (peer-reviewed)
Hybrid intelligence for reconciling biodiversity and productivity in agricultureThomas Berger, Henner Gimpel, Anthony Stein, et al.Nature FoodJournal Article
Adaptive real-time crop row detection through enhancing a traditional computer vision approachMortesa Hussaini, Max Voigt, Anthony SteinGIL Jahrestagung 2024Conference Proceedings (peer-reviewed)
44. GIL-Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 27.-28. Februar 2024, Hohenheim, Germany.Christa Hoffmann, Anthony Stein, Eva Gallman, Jörg Dörr, Christian Krupitzer, Helga Floto (Eds.)Lecture Notes in Informatics, Gesellschaft für Informatik e.V. 2024Edited Conference Proceedings Volume
Pansharpening Low-Altitude Multispectral Images of Potato Plants Using a Generative Adversarial NetworkSourav Modak, Jonathan Heil, Anthony SteinRemote SensingJournal Article
TitleAuthorsVenueType
Federated Learning in Agriculture: Potential and ChallengesMortesa Hussaini and Anthony SteinINFORMATIK 2023 - Designing Futures: Zukünfte gestaltenConference Proceedings (peer-reviewed)
Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic ExperiencesWenzel Pilar von Pilchau, David Pätzel, Anthony Stein, Jörg Hähner2023 International Joint Conference on Neural Networks (IJCNN)Conference Proceedings (peer-reviewed)
Unleashing the Potential of Digitalization in the Agri-Food Chain for Integrated Food SystemsChristian Krupitzer and Anthony SteinAnnual Review of Food Science and TechnologyJournal Article
Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic ProgrammingAndreas Margraf, Henning Cui, Anthony Stein, Jörg Hähner2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)Conference Proceedings (peer-reviewed)

Modeling the soil-machine response of secondary tillage: A deep learning approach

Jonas Boysen, Lucas Zender, Anthony SteinSmart Agricultural TechnologyJournal Article
43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 13.-14. Februar 2023, Osnabrück, Germany.Christa Hoffmann, Anthony Stein, Arno Ruckelshausen, Henning Müller, Thilo Steckel, Helga Floto (Eds.)Lecture Notes in Informatics, Gesellschaft für Informatik e.V. 2023Edited Conference Proceedings Volume
Towards crop yield prediction using Automated Machine LearningJonathan Heil, Juan Manuel Valencia, Anthony Stein43. GIL-JahrestagungConference Proceedings (peer-reviewed)
Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz - ein plattformbasierter Ansatz für Forschung und Lehre Sebastian Bosse, ..., Jonathan Heil, Mortesa Hussaini, ..., Anthony Stein43. GIL-JahrestagungConference Proceedings (peer-reviewed)
TitleAuthorsVenueType
Evolutionary Touch Filter Chain CalibrationDaniel Gerber, Lukas Rosenbauer, Pia Lindner, Johannes Maier, Anthony Stein, Jörg HähnerSN Computer ScienceJournal Publication
A Germinal Center Artificial Immune System for Black Box Test SelectionLukas Rosenbauer, Anthony Stein, Jörg HähnerSN Computer ScienceJournal Publication
A context aware and self-improving monitoring system for field vegetablesNils Lüling, Jonas Boysen, Henning Kuper, Anthony SteinARCS 2022Conference Proceedings (peer-reviewed)
Semi-Model-Based Reinforcement Learning in Organic Computing SystemsWenzel Pilar von Pilchau, Anthony Stein, Jörg HähnerARCS 2022Conference Proceedings (peer-reviewed)
Interpolated Experience Replay for Continuous EnvironmentsWenzel Pilar von Pilchau, Anthony Stein, Jörg HähnerIJCCI/NCTA 2022Conference Proceedings (peer-reviewed)
A Learning Classifier System for Automated Test Case Prioritization and ApplicationsLukas Rosenbauer, David Pätzel, Anthony Steinm Jörg HähnerSN Computer ScienceJournal Publication
Mechanisms to Alleviate Over-Generalization in XCS for Continous-Valued Input SpacesAlexander Wagner, Anthony SteinSN Computer ScienceJournal Publication
AI-supported Data Annotation in the Context of UAV-based Weed Detection in Sugar Beet Fields using Deep Neural NetworksJonas Boysen, Anthony Stein42. GIL JahrestagungConference Proceedings (peer-reviewed)
Tackling the rich vehicle routing problem with nature-inspired algorithmsVeronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian KrupitzerApplied IntelligenceJournal Publication
TitleAuthorsVenueType
Food Informatics - Review of the Current State-of-the-Art, Revised Definition, and Classification into the Research LandscapeChristian Krupitzer, Anthony SteinMDPI FoodsJournal Publication
Reflective Learning Classifier Systems for Self-Adaptive and Self-Organising Agents

Stein, A.,
Tomforde, S.

2021 Workshop on Self-Aware Computing (SeAC) @ 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)Conference Proceedings Companion (peer-reviewed)
Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic EnvironmentsPilar von Pilchau, W., Stein. A., Hähner, J.AlgorithmsJournal Publication
Lifelike Computing Systems

Stein, A.,
Tomforde, S., Botev, J.,
Lewis, P.

Lifelike Computing Systems Workshop 2021 @ 2021 Conference on Artificial Life (ALife)Workshop Proceedings (peer-reviewed)
An Organic Computing System for Automated TestingRosenbauer, L., Pätzel, D., Stein, A., Hähner, J.GI/ITG International Conference on Architecture of Computing Systems (ARCS) 2021Conference Proceedings (peer-reviewed)
A Genetic Algorithm for HMI Test Infrastructure Fine TuningRosenbauer, L., Stein, A., Hähner, J.18th International Conference on Informatics in Control (ICINCO)Conference Proceedings (peer-reviewed)
An Evolutionary Calibration Approach for Touch Interface Filter ChainsRosenbauer, L., Maier, J., Gerber, D., Stein, A., Hähner, J.18th International Conference on Informatics in Control (ICINCO)Conference Proceedings (peer-reviewed)
Adopting Lexicase Selection for Michigan-Style Learning Classifier Systems with Continuous-Valued InputsWagner, A., Stein, A.ACM Genetic and Evolutionary Computing Conference (GECCO) 2021Conference Proceedings Companion
(peer-reviewed)
On the Effects of Absumption for XCS with Continuous-Valued InputsWagner, A., Stein, A.International Conference on the Applications of Evolutionary Computation (EvoAPPS) as part of evostar*Conference Proceedings (peer-reviewed)
An Artificial Immune System for Black Box Test Case SelectionRosenbauer, L., Stein, A., Hähner, J.21st European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP) as part of evostar*Conference Proceedings (peer-reviewed)
Transfer Learning for Automated Test Case Prioritization using XCSFRosenbauer, L., Pätzel, D., Stein, A., Hähner, J.International Conference on the Applications of Evolutionary Computation (EvoAPPS) as part of evostar*Conference Proceedings (peer-reviewed)
TitleAuthorsVenueType
Self-improving system integration: Mastering continuous changeBellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., Lewis, P. R., Nelson, P. R., Pournaras, E., Stein, A., Tomforde, S.,Future Generation Computer SystemsAuthor links open overlay panel

Journal Publication

XCSF with Experience Replay for Automatic Test Case Prioritization Rosenbauer, L., Stein, A., Pätzel, D., Hähner, J.IEEE Symposium Series on Computational Intelligence (SSCI)Conference Proceedings (peer-reviewed)
An Artificial Immune System for Adaptive Test Selection Rosenbauer, L., Stein, A., Hähner, J. IEEE Symposium Series on Computational Intelligence (SSCI) Conference Proceedings (peer-reviewed)
XCS Classifier System with Experience ReplayStein, A., Maier, R., Rosenbauer, L., Hähner, J.ACM Genetic and Evolutionary Computation Conference (GECCO)Conference Proceedings (peer-reviewed)
Bootstrapping a DQN Replay Memory with Synthetic ExperiencesPilar von Pilchau, W., Stein, A., Hähner, J.International Joint Conference on Computational Intelligence (IJCCI)Conference Proceedings (peer-reviewed)
XCSF for Automatic Test Case PrioritizationRosenbauer, L., Stein, A., Pätzel, D., Hähner, J.International Joint Conference on Computational Intelligence (IJCCI)Conference Proceedings (peer-reviewed)
Metaheuristics for the Minimum Set Cover Problem: A ComparisonRosenbauer, L., Stein, A., Stegherr, H., Hähner, J.International Joint Conference on Computational Intelligence (IJCCI)Conference Proceedings (peer-reviewed)
An Overview of LCS Research from IWLCS 2019 to 2020Pätzel, D., Stein, A., Nakata, M.ACM Genetic and Evolutionary Computation Conference (GECCO) CompanionConference Proceedings (peer-reviewed)
XCS as a Reinforcement Learning Approach to Automatic Test Case PrioritizationRosenbauer, L., Stein, A., Pätzel, D., Hähner, J.International Workshop on Learning Classifier Systems 2020 @ ACM Genetic and Evolutionary Computation Conference (GECCO) Conference Proceedings Companion (peer-reviewed)
Generic Approaches for Parallel Rule Matching in Learning Classifier SystemsRosenbauer, L., Stein, A., Hähner, J.International Workshop on Learning Classifier Systems 2020 @ ACM Genetic and Evolutionary Computation Conference (GECCO) Conference Proceedings Companion (peer-reviewed)
Learning Classifier Systems: From Principles to Modern Systems (Tutorial)Stein, A., Nakata, M.ACM Genetic and Evolutionary Computation Conference (GECCO) Conference Proceedings Companion
A Germinal Center Artificial Immune System for Software Test Suite ReductionRosenbauer, L., Stein, A., Hähner, J.LIFELIKE Computing Systems Workshop @ 2020 Conference on Artificial Life (ALife)Workshop Proceedings (peer-reviewed)