Anthony Stein - RankMe

93 papers A 2B 6C 8Misc 1Journal 26Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating model quantization in a GenAI-enhanced weed detection pipeline. J. Syst. Archit. Sourav Modak, Ahmet Oguz Saltik, Anthony Stein
2026	—	`conf`	Self-supervised representation learning for robust weed detection. GIL Nils Herterich, Tobias Kettner, Anthony Stein
2025	J	`jnl`	Accelerating weed detection for smart agricultural sprayers using a Neural Processing Unit. Comput. Electron. Agric. Nils Herterich, Kai Liu, Anthony Stein
2025	J	`jnl`	Assessing the Capability of YOLO- and Transformer-based Object Detectors for Real-time Weed Detection. CoRR Alicia Allmendinger, Ahmet Oguz Saltik, Gerassimos Peteinatos, Anthony Stein, Roland Gerhards
2025	—	`conf`	Exploring Model Quantization in GenAI-Based Image Inpainting and Detection of Arable Plants. ARCS Sourav Modak, Ahmet Oguz Saltik, Anthony Stein
2025	J	`jnl`	Exploring Model Quantization in GenAI-based Image Inpainting and Detection of Arable Plants. CoRR Sourav Modak, Ahmet Oguz Saltik, Anthony Stein
2025	—	`conf`	Federated Learning for data-sovereign training of weed and crop detection machine learning models. GIL Mortesa Hussaini, Max Voigt, Jan Theiß, Anthony Stein
2025	J	`jnl`	Generative AI-based pipeline architecture for increasing training efficiency in intelligent weed control systems. J. Syst. Archit. Sourav Modak, Anthony Stein
2025	—	`conf`	Improving Lightweight Weed Detection via Knowledge Distillation. ICCVW Ahmet Oguz Saltik, Max Voigt, Sourav Modak, Mike Beckworth, Anthony Stein
2025	J	`jnl`	Improving Lightweight Weed Detection via Knowledge Distillation. CoRR Ahmet Oguz Saltik, Max Voigt, Sourav Modak, Mike Beckworth, Anthony Stein
2025	J	`jnl`	Local Performance vs. Out-of-Distribution Generalization: An Empirical Analysis of Personalized Federated Learning in Heterogeneous Data Environments. CoRR Mortesa Hussaini, Jan Theiß, Anthony Stein
2025	—	`conf`	Multi-objective neural architecture search for real-time weed detection on embedded systems. GIL Nils Herterich, Kai Liu, Anthony Stein
2025	J	`jnl`	Orchestrating segment anything models to accelerate segmentation annotation on agricultural image datasets. Frontiers Artif. Intell. Leon H. Oehme, Jonas Boysen, Zhangkai Wu, Anthony Stein, Joachim Müller
2025	—	`conf`	Process-Level Simulation Testbed for Assessing Field Robot Swarms. ARCS Jonas Boysen, Anthony Stein
2025	—	`conf`	Towards AI-based airborne field emergence assessment of grain crops: an experience report. GIL Marc Händle, Anthony Stein
2024	—	`ed.`	44. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft - Fokus: Biodiversität fördern durch digitale Landwirtschaft, 27.-28. Februar 2024, Stuttgart, Germany. GIL Jahrestagung Christa Hoffmann, Anthony Stein, Eva Gallmann, Jörg Dörr, Christian Krupitzer, Helga Floto
2024	—	`conf`	Adaptive real-time crop row detection through enhancing a traditional computer vision approach. GIL Mortesa Hussaini, Max Voigt, Anthony Stein
2024	—	`conf`	Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed Detection. ECCV Workshops (3) Ahmet Oguz Saltik, Alicia Allmendinger, Anthony Stein
2024	J	`jnl`	Comparative Analysis of YOLOv9, YOLOv10 and RT-DETR for Real-Time Weed Detection. CoRR Ahmet Oguz Saltik, Alicia Allmendinger, Anthony Stein
2024	—	`conf`	Enhancing Weed Detection Performance by Means of GenAI-Based Image Augmentation. ECCV Workshops (3) Sourav Modak, Anthony Stein
2024	J	`jnl`	Enhancing weed detection performance by means of GenAI-based image augmentation. CoRR Sourav Modak, Anthony Stein
2024	J	`jnl`	Excretion Detection in Pigsties Using Convolutional and Transformerbased Deep Neural Networks. CoRR Simon Mielke, Anthony Stein
2024	J	`jnl`	Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems. CoRR Sourav Modak, Anthony Stein
2024	—	`conf`	Multi-level Personalised Federated Learning: A concept for data sovereign machine learning in digital agriculture. INFORMATIK Mortesa Hussaini, Anthony Stein
2024	J	`jnl`	Pansharpening Low-Altitude Multispectral Images of Potato Plants Using a Generative Adversarial Network. Remote. Sens. Sourav Modak, Jonathan Heil, Anthony Stein
2024	—	`conf`	Synthesizing Training Data for Intelligent Weed Control Systems Using Generative AI. ARCS Sourav Modak, Anthony Stein
2023	—	`ed.`	43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 13.-14. Februar 2023, Osnabrück, Germany. GIL Jahrestagung Christa Hoffmann, Anthony Stein, Arno Ruckelshausen, Henning Müller, Thilo Steckel, Helga Floto
2023	J	`jnl`	A Germinal Center Artificial Immune System for Black Box Test Selection. SN Comput. Sci. Lukas Rosenbauer, Anthony Stein, Jörg Hähner
2023	B	`conf`	Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences. IJCNN Wenzel Pilar von Pilchau, David Pätzel, Anthony Stein, Jörg Hähner
2023	J	`jnl`	Evolutionary Touch Filter Chain Calibration. SN Comput. Sci. Daniel Gerber, Lukas Rosenbauer, Pia Lindner, Johannes Maier, Anthony Stein, Jörg Hähner
2023	—	`conf`	Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming. ACSOS Andreas Margraf, Henning Cui, Anthony Stein, Jörg Hähner
2023	—	`conf`	Federated Learning in Agriculture: Potential and Challenges. GI-Jahrestagung Mortesa Hussaini, Anthony Stein
2023	—	`conf`	Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz - ein plattformbasierter Ansatz für Forschung und Industrie. GIL Jahrestagung 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, Jochen Hirth, Christopher Huber, Mortesa Hussaini, Martin Kasparick, Peter Kloke, Hartmut Krause-Edler, Lukas Mackle, Jannes Magnusson, Felix Möhrle, Markus Möller, Peter Pickel, Clemens Rautenberg, Hans Dieter Schotten, Slawomir Stanczak, Lars Thiele, Henrik Ücdemir, Annett Wania, Anthony Stein
2023	—	`ed.`	Proceedings of the LIFELIKE 2022 - 10th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2022 Conference on Artificial Life (ALIFE 2022), Online, July 20th, 2022 LIFELIKE Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis
2023	J	`jnl`	Special Issue on Lifelike Computing Systems. Artif. Life Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis
2023	—	`conf`	Towards crop yield prediction using Automated Machine Learning. GIL Jahrestagung Jonathan Heil, Juan Manuel Valencia, Anthony Stein
2022	—	`conf`	A Context Aware and Self-improving Monitoring System for Field Vegetables. ARCS Nils Lüling, Jonas Boysen, Henning Kuper, Anthony Stein
2022	J	`jnl`	A Learning Classifier System for Automated Test Case Prioritization and Selection. SN Comput. Sci. Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner
2022	—	`conf`	AI-supported data annotation in the context of UAV-based weed detection in sugar beet fields using Deep Neural Networks. GIL Jahrestagung Jonas Boysen, Anthony Stein
2022	J	`jnl`	Correction: A Learning Classifier System for Automated Test Case Prioritization and Selection. SN Comput. Sci. Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner
2022	C	`conf`	Interpolated Experience Replay for Continuous Environments. IJCCI Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner
2022	J	`jnl`	Mechanisms to Alleviate Over-Generalization in XCS for Continuous-Valued Input Spaces. SN Comput. Sci. Alexander R. M. Wagner, Anthony Stein
2022	—	`conf`	Semi-model-Based Reinforcement Learning in Organic Computing Systems. ARCS Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner
2022	J	`jnl`	Tackling the rich vehicle routing problem with nature-inspired algorithms. Appl. Intell. Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer
2021	J	`jnl`	A Case Study of Vehicle Route Optimization. CoRR Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer
2021	C	`conf`	A Genetic Algorithm for HMI Test Infrastructure Fine Tuning. ICINCO Lukas Rosenbauer, Anthony Stein, Jörg Hähner
2021	—	`conf`	A Germinal Centre Artificial Immune System for Software Test Suite Reduction. LIFELIKE Lukas Rosenbauer, Anthony Stein, Jörg Hähner
2021	—	`conf`	Adopting lexicase selection for michigan-style learning classifier systems with continuous-valued inputs. GECCO Companion Alexander R. M. Wagner, Anthony Stein
2021	B	`conf`	An Artificial Immune System for Black Box Test Case Selection. EvoCOP Lukas Rosenbauer, Anthony Stein, Jörg Hähner
2021	C	`conf`	An Evolutionary Calibration Approach for Touch Interface Filter Chains. ICINCO Lukas Rosenbauer, Johannes Maier, Daniel Gerber, Anthony Stein, Jörg Hähner
2021	—	`conf`	An Organic Computing System for Automated Testing. ARCS Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner
2021	—	`ed.`	Joint Proceedings of the LIFELIKE 2020 - 8th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS) co-located with 2020 Conference on Artificial Life (ALIFE 2020), Online, July 16th, 2020, and, Online, July 19th, 2021. LIFELIKE Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis
2021	—	`conf`	Learning classifier systems: from principles to modern systems. GECCO Companion Anthony Stein, Masaya Nakata
2021	—	`conf`	Lifelike Computing Systems. LIFELIKE Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis
2021	B	`conf`	On the Effects of Absumption for XCS with Continuous-Valued Inputs. EvoApplications Alexander R. M. Wagner, Anthony Stein
2021	—	`conf`	Reflective Learning Classifier Systems for Self-Adaptive and Self-Organising Agents. ACSOS-C Anthony Stein, Sven Tomforde
2021	J	`jnl`	Self-improving system integration: Mastering continuous change. Future Gener. Comput. Syst. Kirstie L. Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Phyllis R. Nelson, Evangelos Pournaras, Anthony Stein, Sven Tomforde
2021	J	`jnl`	Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments. Algorithms Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner
2021	B	`conf`	Transfer Learning for Automated Test Case Prioritization Using XCSF. EvoApplications Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner
2020	—	`conf`	An Artificial Immune System for Adaptive Test Selection. SSCI Lukas Rosenbauer, Anthony Stein, Jörg Hähner
2020	—	`conf`	An overview of LCS research from IWLCS 2019 to 2020. GECCO Companion David Pätzel, Anthony Stein, Masaya Nakata
2020	C	`conf`	Bootstrapping a DQN Replay Memory with Synthetic Experiences. IJCCI Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner
2020	J	`jnl`	Bootstrapping a DQN Replay Memory with Synthetic Experiences. CoRR Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner
2020	—	`conf`	Generic approaches for parallel rule matching in learning classifier systems. GECCO Companion Lukas Rosenbauer, Anthony Stein, Jörg Hähner
2020	—	`conf`	Learning classifier systems: from principles to modern systems. GECCO Companion Anthony Stein, Masaya Nakata
2020	C	`conf`	Metaheuristics for the Minimum Set Cover Problem: A Comparison. IJCCI Lukas Rosenbauer, Anthony Stein, Helena Stegherr, Jörg Hähner
2020	J	`jnl`	XCS Classifier System with Experience Replay. CoRR Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner
2020	—	`conf`	XCS as a reinforcement learning approach to automatic test case prioritization. GECCO Companion Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner
2020	A	`conf`	XCS classifier system with experience replay. GECCO Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner
2020	C	`conf`	XCSF for Automatic Test Case Prioritization. IJCCI Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner
2020	—	`conf`	XCSF with Experience Replay for Automatic Test Case Prioritization. SSCI Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner
2019	—	`conf`	A survey of formal theoretical advances regarding XCS. GECCO (Companion) David Pätzel, Anthony Stein, Jörg Hähner
2019	—	`conf`	CHARIOT - Towards a Continuous High-Level Adaptive Runtime Integration Testbed. FAS*W@SASO/ICAC Chloe M. Barnes, Kirstie L. Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Phyllis R. Nelson, Anthony Stein, Christopher Stewart, Sven Tomforde
2019	—	`—`	Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems. Anthony Stein
2019	—	`conf`	Learning classifier systems: from principles to modern systems. GECCO (Companion) Anthony Stein
2019	Misc	`conf`	Reducing Search Space of Genetic Algorithms for Fast Black Box Attacks on Image Classifiers. KI Julius Brandl, Nicolas Breinl, Maximilian Demmler, Lukas Hartmann, Jörg Hähner, Anthony Stein
2019	—	`conf`	Transfer Learning is a Crucial Capability of Intelligent Systems Self-Integrating at Runtime. FAS*W@SASO/ICAC Anthony Stein, Sven Tomforde
2018	—	`conf`	A Concept for Proactive Knowledge Construction in Self-Learning Autonomous Systems. FAS*W@SASO/ICAC Anthony Stein, Sven Tomforde, Ada Diaconescu, Jörg Hähner, Christian Müller-Schloer
2018	—	`conf`	Self-Improving System Integration - Status and Challenges after Five Years of SISSY. FAS*W@SASO/ICAC Kirstie L. Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Anthony Stein, Sven Tomforde, Rolf P. Würtz
2018	A	`conf`	What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSF. GECCO Anthony Stein, Simon Menssen, Jörg Hähner
2017	C	`conf`	An Evolutionary Learning Approach to Self-configuring Image Pipelines in the Context of Carbon Fiber Fault Detection. ICMLA Andreas Margraf, Anthony Stein, Leonhard Engstler, Steffen Geinitz, Jörg Hähner
2017	J	`jnl`	Interpolation in the eXtended Classifier System: An architectural perspective. J. Syst. Archit. Anthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner
2017	C	`conf`	Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS. IJCCI Anthony Stein, Stefan Rudolph, Sven Tomforde, Jörg Hähner
2017	—	`conf`	Toward curious learning classifier systems: combining XCS with active learning concepts. GECCO (Companion) Anthony Stein, Roland Maier, Jörg Hähner
2016	—	`conf`	Augmenting the Algorithmic Structure of XCS by Means of Interpolation. ARCS Anthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner
2016	—	`conf`	Dealing with Unforeseen Situations in the Context of Self-Adaptive Urban Traffic Control: How to Bridge the Gap. ICAC Anthony Stein, Sven Tomforde, Dominik Rauh, Jörg Hähner
2016	B	`conf`	Distributed resource allocation as co-evolution problem. CEC Sven Tomforde, David Meier, Anthony Stein, Sebastian von Mammen
2016	—	`conf`	Ensemble Time Series Forecasting with XCSF. SASO Matthias Sommer, Anthony Stein, Jörg Hähner
2016	—	`conf`	Evolutionary Online Machine Learning from Imbalanced Data. FAS*W@SASO/ICCAC Anthony Stein
2016	B	`conf`	Interpolation-based classifier generation in XCSF. CEC Anthony Stein, Christian Eymüller, Dominik Rauh, Sven Tomforde, Jörg Hähner
2016	—	`conf`	Local ensemble weighting in the context of time series forecasting using XCSF. SSCI Matthias Sommer, Anthony Stein, Jörg Hähner
2015	—	`conf`	Task Execution in Distributed Smart Systems. IDCS Uwe Jänen, Carsten Grenz, Sarah Edenhofer, Anthony Stein, Jürgen Brehm, Jörg Hähner
2014	—	`conf`	HCI-Patterns for Developing Mobile Apps and Digital Video-Assist-Technology for the Film Set. HCI (1) Christian Märtin, Anthony Stein, Bernhard Prell, Andreas Kesper