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2020 – today
- 2024
[j11]Sourav Modak, Jonathan Heil, Anthony Stein
:
Pansharpening Low-Altitude Multispectral Images of Potato Plants Using a Generative Adversarial Network. Remote. Sens. 16(5): 874 (2024)- [c53]Sourav Modak, Anthony Stein:
Synthesizing Training Data for Intelligent Weed Control Systems Using Generative AI. ARCS 2024: 112-126 - [c52]Mortesa Hussaini, Anthony Stein:
Multi-level Personalised Federated Learning: A concept for data sovereign machine learning in digital agriculture. INFORMATIK 2024: 1269-1277 - [c51]Mortesa Hussaini, Max Voigt, Anthony Stein:
Adaptive real-time crop row detection through enhancing a traditional computer vision approach. GIL 2024: 95-106 - [e4]Christa Hoffmann, Anthony Stein, Eva Gallmann, Jörg Dörr, Christian Krupitzer, Helga Floto:
44. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft - Fokus: Biodiversität fördern durch digitale Landwirtschaft, 27.-28. Februar 2024, Stuttgart, Germany. LNI P-344, Gesellschaft für Informatik e.V. 2024, ISBN 978-3-88579-738-8 [contents] - 2023
- [j10]Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis:
Special Issue on Lifelike Computing Systems. Artif. Life 29(4): 390-393 (2023) - [j9]Daniel Gerber, Lukas Rosenbauer, Pia Lindner, Johannes Maier, Anthony Stein, Jörg Hähner:
Evolutionary Touch Filter Chain Calibration. SN Comput. Sci. 4(1): 26 (2023) - [j8]Lukas Rosenbauer, Anthony Stein, Jörg Hähner:
A Germinal Center Artificial Immune System for Black Box Test Selection. SN Comput. Sci. 4(1): 55 (2023) - [c50]Andreas Margraf, Henning Cui, Anthony Stein, Jörg Hähner:
Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming. ACSOS 2023: 133-138 - [c49]Mortesa Hussaini, Anthony Stein:
Federated Learning in Agriculture: Potential and Challenges. GI-Jahrestagung 2023: 1653-1661 - [c48]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:
Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz - ein plattformbasierter Ansatz für Forschung und Industrie. GIL Jahrestagung 2023: 41-52 - [c47]Jonathan Heil, Juan Manuel Valencia, Anthony Stein:
Towards crop yield prediction using Automated Machine Learning. GIL Jahrestagung 2023: 89-100 - [c46]Wenzel Pilar von Pilchau, David Pätzel, Anthony Stein, Jörg Hähner:
Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences. IJCNN 2023: 1-9 - [e3]Christa Hoffmann, Anthony Stein, Arno Ruckelshausen, Henning Müller, Thilo Steckel, Helga Floto:
43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 13.-14. Februar 2023, Osnabrück, Germany. LNI P-330, Gesellschaft für Informatik e.V. 2023, ISBN 978-3-88579-724-1 [contents] - [e2]Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis:
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. CEUR Workshop Proceedings 3461, CEUR-WS.org 2023 [contents] - 2022
- [j7]Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer:
Tackling the rich vehicle routing problem with nature-inspired algorithms. Appl. Intell. 52(8): 9476-9500 (2022) - [j6]Alexander R. M. Wagner, Anthony Stein:
Mechanisms to Alleviate Over-Generalization in XCS for Continuous-Valued Input Spaces. SN Comput. Sci. 3(2): 176 (2022) - [j5]Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner:
A Learning Classifier System for Automated Test Case Prioritization and Selection. SN Comput. Sci. 3(5): 373 (2022) - [j4]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): 462 (2022) - [c45]Nils Lüling, Jonas Boysen, Henning Kuper, Anthony Stein:
A Context Aware and Self-improving Monitoring System for Field Vegetables. ARCS 2022: 226-240 - [c44]Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner:
Semi-model-Based Reinforcement Learning in Organic Computing Systems. ARCS 2022: 241-255 - [c43]Jonas Boysen, Anthony Stein:
AI-supported data annotation in the context of UAV-based weed detection in sugar beet fields using Deep Neural Networks. GIL Jahrestagung 2022: 63-68 - [c42]Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner:
Interpolated Experience Replay for Continuous Environments. IJCCI 2022: 237-248 - 2021
- [j3]Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner:
Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments. Algorithms 14(8): 226 (2021) - [j2]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:
Self-improving system integration: Mastering continuous change. Future Gener. Comput. Syst. 117: 29-46 (2021) - [c41]Anthony Stein, Sven Tomforde:
Reflective Learning Classifier Systems for Self-Adaptive and Self-Organising Agents. ACSOS-C 2021: 139-145 - [c40]Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner:
An Organic Computing System for Automated Testing. ARCS 2021: 135-149 - [c39]Lukas Rosenbauer, Anthony Stein, Jörg Hähner:
An Artificial Immune System for Black Box Test Case Selection. EvoCOP 2021: 169-184 - [c38]Lukas Rosenbauer, David Pätzel, Anthony Stein, Jörg Hähner:
Transfer Learning for Automated Test Case Prioritization Using XCSF. EvoApplications 2021: 681-696 - [c37]Alexander R. M. Wagner, Anthony Stein:
On the Effects of Absumption for XCS with Continuous-Valued Inputs. EvoApplications 2021: 697-713 - [c36]Alexander R. M. Wagner, Anthony Stein:
Adopting lexicase selection for michigan-style learning classifier systems with continuous-valued inputs. GECCO Companion 2021: 171-172 - [c35]Anthony Stein, Masaya Nakata:
Learning classifier systems: from principles to modern systems. GECCO Companion 2021: 498-527 - [c34]Lukas Rosenbauer, Johannes Maier, Daniel Gerber, Anthony Stein, Jörg Hähner:
An Evolutionary Calibration Approach for Touch Interface Filter Chains. ICINCO 2021: 29-38 - [c33]Lukas Rosenbauer, Anthony Stein, Jörg Hähner:
A Genetic Algorithm for HMI Test Infrastructure Fine Tuning. ICINCO 2021: 367-374 - [c32]Lukas Rosenbauer, Anthony Stein, Jörg Hähner:
A Germinal Centre Artificial Immune System for Software Test Suite Reduction. LIFELIKE 2021 - [c31]Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis:
Lifelike Computing Systems. LIFELIKE 2021 - [e1]Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis:
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. CEUR Workshop Proceedings 3007, CEUR-WS.org 2021 [contents] - [i3]Veronika Lesch, Maximilian König, Samuel Kounev, Anthony Stein, Christian Krupitzer:
A Case Study of Vehicle Route Optimization. CoRR abs/2111.09087 (2021) - 2020
- [c30]Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner:
XCS classifier system with experience replay. GECCO 2020: 404-413 - [c29]Anthony Stein, Masaya Nakata:
Learning classifier systems: from principles to modern systems. GECCO Companion 2020: 561-589 - [c28]David Pätzel, Anthony Stein, Masaya Nakata:
An overview of LCS research from IWLCS 2019 to 2020. GECCO Companion 2020: 1782-1788 - [c27]Lukas Rosenbauer, Anthony Stein, Jörg Hähner:
Generic approaches for parallel rule matching in learning classifier systems. GECCO Companion 2020: 1789-1797 - [c26]Lukas Rosenbauer, Anthony Stein, Roland Maier, David Pätzel, Jörg Hähner:
XCS as a reinforcement learning approach to automatic test case prioritization. GECCO Companion 2020: 1798-1806 - [c25]Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner:
XCSF for Automatic Test Case Prioritization. IJCCI 2020: 49-58 - [c24]Lukas Rosenbauer, Anthony Stein, Helena Stegherr, Jörg Hähner:
Metaheuristics for the Minimum Set Cover Problem: A Comparison. IJCCI 2020: 123-130 - [c23]Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner:
Bootstrapping a DQN Replay Memory with Synthetic Experiences. IJCCI 2020: 404-411 - [c22]Lukas Rosenbauer, Anthony Stein, David Pätzel, Jörg Hähner:
XCSF with Experience Replay for Automatic Test Case Prioritization. SSCI 2020: 1307-1314 - [c21]Lukas Rosenbauer, Anthony Stein, Jörg Hähner:
An Artificial Immune System for Adaptive Test Selection. SSCI 2020: 2940-2947 - [i2]Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner:
Bootstrapping a DQN Replay Memory with Synthetic Experiences. CoRR abs/2002.01370 (2020) - [i1]Anthony Stein, Roland Maier, Lukas Rosenbauer, Jörg Hähner:
XCS Classifier System with Experience Replay. CoRR abs/2002.05628 (2020)
2010 – 2019
- 2019
- [b1]Anthony Stein:
Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems. University of Augsburg, Germany, 2019 - [c20]Anthony Stein:
Learning classifier systems: from principles to modern systems. GECCO (Companion) 2019: 747-769 - [c19]David Pätzel, Anthony Stein, Jörg Hähner:
A survey of formal theoretical advances regarding XCS. GECCO (Companion) 2019: 1295-1302 - [c18]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: 115-122 - [c17]Anthony Stein, Sven Tomforde:
Transfer Learning is a Crucial Capability of Intelligent Systems Self-Integrating at Runtime. FAS*W@SASO/ICAC 2019: 32-35 - [c16]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:
CHARIOT - Towards a Continuous High-Level Adaptive Runtime Integration Testbed. FAS*W@SASO/ICAC 2019: 52-55 - 2018
- [c15]Anthony Stein, Simon Menssen, Jörg Hähner:
What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSF. GECCO 2018: 537-544 - [c14]Kirstie L. Bellman, Jean Botev, Ada Diaconescu, Lukas Esterle, Christian Gruhl, Christopher Landauer, Peter R. Lewis, Anthony Stein, Sven Tomforde, Rolf P. Würtz:
Self-Improving System Integration - Status and Challenges after Five Years of SISSY. FAS*W@SASO/ICAC 2018: 160-167 - [c13]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: 204-213 - 2017
- [j1]Anthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner:
Interpolation in the eXtended Classifier System: An architectural perspective. J. Syst. Archit. 75: 79-94 (2017) - [c12]Anthony Stein, Roland Maier, Jörg Hähner:
Toward curious learning classifier systems: combining XCS with active learning concepts. GECCO (Companion) 2017: 1349-1356 - [c11]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: 147-154 - [c10]Anthony Stein, Stefan Rudolph, Sven Tomforde, Jörg Hähner:
Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS. IJCCI 2017: 129-140 - 2016
- [c9]Anthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner:
Augmenting the Algorithmic Structure of XCS by Means of Interpolation. ARCS 2016: 348-360 - [c8]Sven Tomforde, David Meier, Anthony Stein, Sebastian von Mammen:
Distributed resource allocation as co-evolution problem. CEC 2016: 1815-1822 - [c7]Anthony Stein, Christian Eymüller, Dominik Rauh, Sven Tomforde, Jörg Hähner:
Interpolation-based classifier generation in XCSF. CEC 2016: 3990-3998 - [c6]Anthony Stein, Sven Tomforde, Dominik Rauh, Jörg Hähner:
Dealing with Unforeseen Situations in the Context of Self-Adaptive Urban Traffic Control: How to Bridge the Gap. ICAC 2016: 167-172 - [c5]Matthias Sommer, Anthony Stein, Jörg Hähner:
Ensemble Time Series Forecasting with XCSF. SASO 2016: 150-151 - [c4]Anthony Stein:
Evolutionary Online Machine Learning from Imbalanced Data. FAS*W@SASO/ICCAC 2016: 281-286 - [c3]Matthias Sommer, Anthony Stein, Jörg Hähner:
Local ensemble weighting in the context of time series forecasting using XCSF. SSCI 2016: 1-8 - 2015
- [c2]Uwe Jänen, Carsten Grenz, Sarah Edenhofer, Anthony Stein, Jürgen Brehm, Jörg Hähner:
Task Execution in Distributed Smart Systems. IDCS 2015: 103-117 - 2014
- [c1]Christian Märtin, Anthony Stein, Bernhard Prell, Andreas Kesper:
HCI-Patterns for Developing Mobile Apps and Digital Video-Assist-Technology for the Film Set. HCI (1) 2014: 320-330
Coauthor Index
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