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Reinforcement learning as a basis for cross domain fusion of heterogeneous data

Informatik-Spektrum, 2022-08, Vol.45 (4), p.214-217

2022

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Reinforcement learning as a basis for cross domain fusion of heterogeneous data

Informatik-Spektrum, 2022, Vol.45 (5), p.295-299

2022

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Architecture of Computing Systems: 36th International Conference, ARCS 2023, Athens, Greece, June 13-15, 2023, Proceedings

1st ed. 2023., 2023

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To Adapt or Not to Adapt: A Quantification Technique for Measuring an Expected Degree of Self-Adaptation

Computers (Basel), 2020-03, Vol.9 (1), p.21

2020

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On the stability of (self-)adaptive behaviour in continuously changing environments: A quantification approach

Array (New York), 2021-09, Vol.11, p.100069, Article 100069

2021

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Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents

Energy and AI, 2023-10, Vol.14, p.100276, Article 100276

2023

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Adaptive Approaches for Tidal-Flow Lanes in Urban-Road Networks

Future transportation, 2022-09, Vol.2 (3), p.567-588

2022

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The Vision of Self-Management in Cognitive Organic Power Distribution Systems

Energies (Basel), 2022-02, Vol.15 (3), p.881

2022

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Organic Computing: Technical Systems for Survival in the Real World

1st ed. 2017 edition., 2017

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Artificial intelligence in emergency medicine. A systematic literature review

International journal of medical informatics (Shannon, Ireland), 2023-12, Vol.180, p.105274-105274, Article 105274

2023

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Gene regulatory network analysis identifies MYL1, MDH2, GLS, and TRIM28 as the principal proteins in the response of mesenchymal stem cells to Mg2+ ions

Computational and structural biotechnology journal, 2024-12, Vol.23, p.1773-1785

2024

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Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models

Informatics (Basel), 2018-09, Vol.5 (3), p.38

2018

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Real-time rate control of WebRTC video streams in 5G networks: Improving quality of experience with Deep Reinforcement Learning

Journal of systems architecture, 2024-03, Vol.148, p.103066, Article 103066

2024

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Architecture of Computing Systems - ARCS 2020: 33rd International Conference, Aachen, Germany, May 25-28, 2020, Proceedings

1st ed. 2020., 2020

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Novelty detection in continuously changing environments

Future generation computer systems, 2021-01, Vol.114, p.138-154

2021

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Erratum to: Reinforcement learning as a basis for cross domain fusion of heterogeneous data

Informatik-Spektrum, 2023-11

2023

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An Organic Computing Approach to Self-Organizing Robot Ensembles

Frontiers in robotics and AI, 2016-11, Vol.3

2016

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Interwoven Systems

Informatik-Spektrum, 2014-10, Vol.37 (5), p.483-487

2014

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Special issue on “self-improving self integration”

Future generation computer systems, 2021-06, Vol.119, p.136-139

2021

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Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario

Information and software technology, 2022-05, Vol.145, p.106826, Article 106826

2022

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Self-improving system integration: Mastering continuous change

Future generation computer systems, 2021-04, Vol.117, p.29-46

2021

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Real-Time Data Transmission Optimization on 5G Remote-Controlled Units Using Deep Reinforcement Learning

Architecture of Computing Systems, p.281-295

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Deep Reinforcement Learning with a Classifier System – First Steps

Architecture of Computing Systems, p.256-270

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Enhanced lead phytoextraction and soil health restoration through exogenous supply of organic ligands: Geochemical modeling

Journal of environmental management, 2023-12, Vol.348, p.119435-119435, Article 119435

2023

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Introduction to the Special Issue with Selected Papers of The International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) 2020

ACM transactions on autonomous and adaptive systems, 2021-12, Vol.15 (4), p.1-2

2021

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Reinforcement learning as a basis for cross domain fusion of heterogeneous data

Reinforcement learning as a basis for cross domain fusion of heterogeneous data

Architecture of Computing Systems: 36th International Conference, ARCS 2023, Athens, Greece, June 13-15, 2023, Proceedings

To Adapt or Not to Adapt: A Quantification Technique for Measuring an Expected Degree of Self-Adaptation

On the stability of (self-)adaptive behaviour in continuously changing environments: A quantification approach

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents

Adaptive Approaches for Tidal-Flow Lanes in Urban-Road Networks

The Vision of Self-Management in Cognitive Organic Power Distribution Systems

Organic Computing: Technical Systems for Survival in the Real World

Artificial intelligence in emergency medicine. A systematic literature review

Gene regulatory network analysis identifies MYL1, MDH2, GLS, and TRIM28 as the principal proteins in the response of mesenchymal stem cells to Mg2+ ions

Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models

Real-time rate control of WebRTC video streams in 5G networks: Improving quality of experience with Deep Reinforcement Learning

Architecture of Computing Systems - ARCS 2020: 33rd International Conference, Aachen, Germany, May 25-28, 2020, Proceedings

Novelty detection in continuously changing environments

Erratum to: Reinforcement learning as a basis for cross domain fusion of heterogeneous data

An Organic Computing Approach to Self-Organizing Robot Ensembles

Interwoven Systems

Special issue on “self-improving self integration”

Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario

Self-improving system integration: Mastering continuous change

Real-Time Data Transmission Optimization on 5G Remote-Controlled Units Using Deep Reinforcement Learning

Deep Reinforcement Learning with a Classifier System – First Steps

Enhanced lead phytoextraction and soil health restoration through exogenous supply of organic ligands: Geochemical modeling

Introduction to the Special Issue with Selected Papers of The International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) 2020

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