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ORCIDSven Tomforde
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- affiliation: University of Hanover, Germany
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2020 – today
- 2024
[j24]Nikita Smirnov
, Sven Tomforde:
Real-time rate control of WebRTC video streams in 5G networks: Improving quality of experience with Deep Reinforcement Learning. J. Syst. Archit. 148: 103066 (2024)- [c139]Ghassan Al-Falouji, Shang Gao, Lukas Haschke, Dirk Nowotka, Sven Tomforde:
Enhancing Maritime Behaviour Analysis Through Novel Feature Engineering and Digital Shadow Modelling: A Case Study in the Kiel Fjord. ARCS 2024: 97-111 - [c138]Connor Schönberner, Sven Tomforde:
XCS: Is Covering All You Need? GECCO Companion 2024: 1788-1796 - [c137]Michel Spils, Sven Tomforde:
An Optimised Ensemble Approach for Multivariate Multi-Step Forecasts Using the Example of Flood Levels. ICAART (2) 2024: 388-396 - [c136]Jakob Nazarenus, Simon Reichhuber, Manuel Amersdorfer, Lukas Elsner, Reinhard Koch, Sven Tomforde, Hossam Abbas:
Learning Occlusions in Robotic Systems: How to Prevent Robots from Hiding Themselves. ICAART (2) 2024: 482-492 - [c135]Md Faisal Kabir, Sven Tomforde:
A Deep Analysis for Medical Emergency Missing Value Imputation. ICAART (3) 2024: 1229-1236 - [c134]Nikita Smirnov, Sven Tomforde:
Gymir5G: A Simulation Platform to Study Data Transmission over WebRTC in 5G Networks with Deep Learning Assistance. SoftCOM 2024: 1-6 - [i15]Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz:
BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics. CoRR abs/2403.10380 (2024) - [i14]Nikita Smirnov, Sven Tomforde:
Exploring the Dynamics of Data Transmission in 5G Networks: A Conceptual Analysis. CoRR abs/2404.16508 (2024) - [i13]Malte Lehna, Clara Holzhüter, Sven Tomforde, Christoph Scholz:
HUGO - Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach. CoRR abs/2405.00629 (2024) - [i12]Malte Lehna, Mohamed Hassouna, Dmitry Degtyar, Sven Tomforde, Christoph Scholz:
Fault Detection for agents on power grid topology optimization: A Comprehensive analysis. CoRR abs/2406.16426 (2024) - [i11]Danilo Pianini, Sven Tomforde:
Towards adaptive trajectories for mixed autonomous and human-operated ships. CoRR abs/2409.12714 (2024) - 2023
- [j23]Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis:
Special Issue on Lifelike Computing Systems. Artif. Life 29(4): 390-393 (2023) - [j22]Konstantin Piliuk, Sven Tomforde:
Artificial intelligence in emergency medicine. A systematic literature review. Int. J. Medical Informatics 180: 105274 (2023) - [c133]Martin Goller, Ingo Thomsen, Ghassan Al-Falouji, Sven Tomforde:
Abnormal Behaviour Detection of Self-Adaptive Agents in Traffic Environments. ACSOS-C 2023: 41-46 - [c132]Ghassan Al-Falouji, Tom Beyer, Sven Tomforde:
From Social Robots to Autonomous Surface Vessels' Navigation. ACSOS-C 2023: 59-64 - [c131]Ghassan Al-Falouji, Lukas Haschke, Dirk Nowotka, Sven Tomforde:
Self-Explanation as a Basis for Self-Integration - The Autonomous Passenger Ferry Scenario. ACSOS-C 2023: 65-70 - [c130]Nikita Smirnov, Sven Tomforde:
Real-Time Data Transmission Optimization on 5G Remote-Controlled Units Using Deep Reinforcement Learning. ARCS 2023: 281-295 - [c129]Raphael Schwinger, Ghassan Al-Falouji, Sven Tomforde:
Autonomous Ship Collision Avoidance Trained on Observational Data. ARCS 2023: 296-310 - [c128]Simon Reichhuber, Sven Tomforde:
Exotic Bets: Evolutionary Computing Coupled with Bet Mechanisms for Model Selection. ICAART (2) 2023: 259-267 - [c127]Tobias Weiss, Simon Reichhuber, Sven Tomforde:
From Simulated to Real Environments: Q-Learning for MAZE-Navigation of a TurtleBot. ICAISC (2) 2023: 192-203 - [c126]Sven Tomforde, Yanneck Ohl, Ingo Thomsen:
Incident-Aware Distributed Signal Systems in Self-Organised Traffic Control Systems. VEHITS 2023: 15-26 - [c125]Ingo Thomsen, Torben Brennecke, Sven Tomforde:
Distributed Collaborative Incident Validation in a Self-Organised Traffic Control System. VEHITS 2023: 152-159 - [c124]Sören Striewski, Ingo Thomsen, Sven Tomforde:
Approaches to Automatic Road Traffic Incident Detection and Incident Forecasting. VEHITS 2023: 289-296 - [e6]Georgios I. Goumas, Sven Tomforde, Jürgen Brehm, Stefan Wildermann, Thilo Pionteck:
Architecture of Computing Systems - 36th International Conference, ARCS 2023, Athens, Greece, June 13-15, 2023, Proceedings. Lecture Notes in Computer Science 13949, Springer 2023, ISBN 978-3-031-42784-8 [contents] - [e5]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] - [i10]Martin Goller, Sven Tomforde:
A Quantification Approach for Transferability in Lifelike Computing Systems. CoRR abs/2301.12854 (2023) - [i9]Malte Lehna, Jan Viebahn, Christoph Scholz, Antoine Marot, Sven Tomforde:
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents. CoRR abs/2304.00765 (2023) - [i8]Lukas Rauch, Raphael Schwinger, Moritz Wirth, Bernhard Sick, Sven Tomforde, Christoph Scholz:
Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers. CoRR abs/2308.07121 (2023) - 2022
- [j21]Christian Krupitzer, Christian Gruhl, Bernhard Sick, Sven Tomforde:
Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario. Inf. Softw. Technol. 145: 106826 (2022) - [j20]Sören Christensen, Sven Tomforde:
Reinforcement learning as a basis for cross domain fusion of heterogeneous data. Inform. Spektrum 45(4): 214-217 (2022) - [j19]Sören Christensen, Sven Tomforde:
Reinforcement learning as a basis for cross domain fusion of heterogeneous data. Inform. Spektrum 45(5): 295-299 (2022) - [c123]Martin Goller, Sven Tomforde:
Identifying Adaptation Changes in Collections of Self-Adaptive Systems. ACSOS-C 2022: 101-106 - [c122]Ghassan Al-Falouji, Christian Gruhl, Torben Neumann, Sven Tomforde:
A Heuristic for an Online Applicability of Anomaly Detection Techniques. ACSOS-C 2022: 107-112 - [c121]Christian Gruhl, Sven Tomforde, Bernhard Sick:
Self-Aware Microsystems. ACSOS-C 2022: 126-127 - [c120]Connor Schönberner, Sven Tomforde:
Deep Reinforcement Learning with a Classifier System - First Steps. ARCS 2022: 256-270 - [c119]Nikita Smirnov, Sven Tomforde:
Navigation Support for an Autonomous Ferry Using Deep Reinforcement Learning in Simulated Maritime Environments. CogSIMA 2022: 142-149 - [c118]Michael Meyer, Marc Unzueta, Georg Kuschk, Sven Tomforde:
Ego-Motion Compensation of Range-Beam-Doppler Radar Data for Object Detection. ECCV Workshops (1) 2022: 697-708 - [c117]Simon Reichhuber, Sven Tomforde:
Evolving Gaussian Mixture Models for Classification. ICAART (3) 2022: 964-974 - [c116]Martin Goller, Sven Tomforde:
Runtime Assessment of the Parameter Utilisation in Adaptive Systems. PerCom Workshops 2022: 200-205 - [c115]Sven Tomforde, Ingo Thomsen:
A Concept for Collaborative Incident Validation in a Self-organised Traffic Management System. VEHITS 2022: 316-323 - [c114]Ingo Thomsen, Sven Tomforde:
Intersection-centric Urban Traffic Flow Clustering for Incident Detection in Organic Traffic Control. VEHITS 2022: 410-417 - [i7]Simon Reichhuber, Sven Tomforde:
Active Reinforcement Learning - A Roadmap Towards Curious Classifier Systems for Self-Adaptation. CoRR abs/2201.03947 (2022) - 2021
- [j18]Martin Goller, Sven Tomforde:
On the stability of (self-)adaptive behaviour in continuously changing environments: A quantification approach. Array 11: 100069 (2021) - [j17]Christian Gruhl, Bernhard Sick, Sven Tomforde:
Novelty detection in continuously changing environments. Future Gener. Comput. Syst. 114: 138-154 (2021) - [j16]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) - [j15]Kirstie L. Bellman, Ada Diaconescu, Sven Tomforde:
Special issue on "self-improving self integration". Future Gener. Comput. Syst. 119: 136-139 (2021) - [c113]Sven Tomforde, Martin Goller:
Assessment of Configuration Stability and Variability in Collections of Self-Adaptive Systems. ACSOS-C 2021: 125-130 - [c112]Anthony Stein, Sven Tomforde:
Reflective Learning Classifier Systems for Self-Adaptive and Self-Organising Agents. ACSOS-C 2021: 139-145 - [c111]Ghassan Al-Falouji, Christian Gruhl, Sven Tomforde:
Digital Shadows in Self-Improving System Integration: A Concept U sing Generative Modelling. ACSOS-C 2021: 166-171 - [c110]Lukas Esterle, Cláudio Gomes, Mirgita Frasheri, Henrik Ejersbo, Sven Tomforde, Peter Gorm Larsen:
Digital twins for collaboration and self-integration. ACSOS-C 2021: 172-177 - [c109]Christian Gruhl, Sven Tomforde:
OHODIN - Online Anomaly Detection for Data Streams. ACSOS-C 2021: 193-197 - [c108]Sven Tomforde, Martin Goller:
Beyond Homeostasis: A Novel Approach for Assessing the Stability and Coherence of Self-Adaptive Systems. DASC/PiCom/CBDCom/CyberSciTech 2021: 10-17 - [c107]Colin Clausen, Simon Reichhuber, Ingo Thomsen, Sven Tomforde:
Improvements to Increase the Efficiency of the AlphaZero Algorithm: A Case Study in the Game 'Connect 4'. ICAART (2) 2021: 803-811 - [c106]Simon Reichhuber, Sven Tomforde:
Bet-based Evolutionary Algorithms: Self-improving Dynamics in Offspring Generation. ICAART (2) 2021: 1192-1199 - [c105]Michael Meyer, Georg Kuschk, Sven Tomforde:
Graph Convolutional Networks for 3D Object Detection on Radar Data. ICCVW 2021: 3053-3062 - [c104]Kirstie L. Bellman, Sven Tomforde:
Lifelike Systems Need Some Kind of a Skin: First Thoughts on Cyberskin Capabilities. LIFELIKE 2021 - [c103]Martin Goller, Sven Tomforde:
A Concept for Self-Explanation of Macro-Level Behaviourin Lifelike Computing Systems. LIFELIKE 2021 - [c102]Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis:
Lifelike Computing Systems. LIFELIKE 2021 - [c101]Ingo Thomsen, Sven Tomforde:
Detecting Extended Incidents in Urban Road Networks for Organic Traffic Control Using Density-Based Clustering of Traffic Flows. SMARTGREENS/VEHITS (Selected Papers) 2021: 330-347 - [c100]Ingo Thomsen, Yannick Zapfe, Sven Tomforde:
Urban Traffic Incident Detection for Organic Traffic Control: A Density-based Clustering Approach. VEHITS 2021: 152-160 - [c99]Heiko Hamann, Julian Schwarzat, Ingo Thomsen, Sven Tomforde:
A Self-organising System Combining Self-adaptive Traffic Control and Urban Platooning: A Concept for Autonomous Driving. VEHITS 2021: 429-437 - [e4]Esam El-Araby, Vana Kalogeraki, Danilo Pianini, Frédéric Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde:
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2021, Washington, DC, USA, September 27 - Oct. 1, 2021. IEEE 2021, ISBN 978-1-6654-1261-2 [contents] - [e3]Esam El-Araby, Vana Kalogeraki, Danilo Pianini, Frédéric Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde:
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2021, Companion Volume, Washington, DC, USA, September 27 - Oct. 1, 2021. IEEE 2021, ISBN 978-1-6654-4393-7 [contents] - [e2]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] - [i6]Inga Löser, Martin Braun, Christian Gruhl, Jan-Hendrik Menke, Bernhard Sick, Sven Tomforde:
Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management. CoRR abs/2112.07507 (2021) - 2020
- [j14]Sven Tomforde, Martin Goller:
To Adapt or Not to Adapt: A Quantification Technique for Measuring an Expected Degree of Self-Adaptation. Comput. 9(1): 21 (2020) - [j13]Sven Tomforde, Timothy Wood, Jan-Philipp Steghöfer:
Introduction to the Special Issue with Selected Papers of The International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) 2020. ACM Trans. Auton. Adapt. Syst. 15(4): 10e:1-10e:2 (2020) - [c98]Sven Tomforde, Christian Gruhl:
Fairness, Performance, and Robustness: Is There a CAP Theorem for Self-adaptive and Self-organising Systems? ACSOS Companion 2020: 54-59 - [c97]Christian Gruhl, Jörn Schmeißing, Sven Tomforde, Bernhard Sick:
Normal-Wishart Clustering for Novelty Detection. ACSOS Companion 2020: 64-69 - [c96]Simon Reichhuber, Sven Tomforde:
Opportunistic Meta-Learning: A Case Study for Quality Assurance in Industry 4.0 Environments. ACSOS Companion 2020: 76-81 - [c95]Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou, Johannes Grohmann, Ingrid Nunes, Sven Tomforde, Evangelos Pournaras:
Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning. ACSOS Companion 2020: 121-126 - [c94]Martin Goller, Sven Tomforde:
Towards a Continuous Assessment of Stability in (Self-)Adaptation Behaviour. ACSOS Companion 2020: 154-159 - [c93]Sven Tomforde, Christian Gruhl, Bernhard Sick:
A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour. ACSOS Companion 2020: 166-169 - [c92]Simon Reichhuber, Sven Tomforde:
Opportunistic Knowledge Adaption in Self-Learning Systems. ACSOS Companion 2020: 246-248 - [c91]Michael Meyer, Georg Kuschk, Sven Tomforde:
Complex-Valued Convolutional Neural Networks for Automotive Scene Classification Based on Range-Beam-Doppler Tensors. ITSC 2020: 1-6 - [e1]André Brinkmann, Wolfgang Karl, Stefan Lankes, Sven Tomforde, Thilo Pionteck, Carsten Trinitis:
Architecture of Computing Systems - ARCS 2020 - 33rd International Conference, Aachen, Germany, May 25-28, 2020, Proceedings. Lecture Notes in Computer Science 12155, Springer 2020, ISBN 978-3-030-52793-8 [contents] - [i5]Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou, Johannes Grohmann, Ingrid Nunes, Sven Tomforde, Evangelos Pournaras:
Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning. CoRR abs/2008.03995 (2020)
2010 – 2019
- 2019
- [j12]Stefan Rudolph, Sven Tomforde, Jörg Hähner:
Mutual Influence-aware Runtime Learning of Self-adaptation Behavior. ACM Trans. Auton. Adapt. Syst. 14(1): 4:1-4:37 (2019) - [c90]Christian Krupitzer, Sven Tomforde:
Organic Computing Doctoral Dissertation Colloquium 2019. GI-Jahrestagung (Workshops) 2019: 467 - [c89]Christian Krupitzer, Sven Tomforde:
The Organic Computing Doctoral Dissertation Colloquium: Status and Overview in 2019. GI-Jahrestagung (Workshops) 2019: 545-554 - [c88]Mirko D'Angelo, Simos Gerasimou, Sona Ghahremani, Johannes Grohmann, Ingrid Nunes, Evangelos Pournaras, Sven Tomforde:
On learning in collective self-adaptive systems: state of practice and a 3D framework. SEAMS@ICSE 2019: 13-24 - [c87]Kirstie L. Bellman, Christian Gruhl, Christopher Landauer, Sven Tomforde:
Self-Improving System Integration - On a Definition and Characteristics of the Challenge. FAS*W@SASO/ICAC 2019: 1-3 - [c86]Veronika Lesch, Christian Krupitzer, Sven Tomforde:
Emerging Self-Integration through Coordination of Autonomous Adaptive Systems. FAS*W@SASO/ICAC 2019: 6-9 - [c85]Anthony Stein, Sven Tomforde:
Transfer Learning is a Crucial Capability of Intelligent Systems Self-Integrating at Runtime. FAS*W@SASO/ICAC 2019: 32-35 - [c84]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 - [c83]Sven Tomforde:
From "Normal" to "Abnormal": A Concept for Determining Expected Self-Adaptation Behaviour. FAS*W@SASO/ICAC 2019: 126-129 - [i4]Stefan Rudolph, Sven Tomforde, Jörg Hähner:
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes. CoRR abs/1905.04205 (2019) - [i3]Tom Hanika, Marek Herde, Jochen Kuhn, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiß, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Sven Tomforde, Katharina Anna Zweig:
Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields. CoRR abs/1905.07264 (2019) - 2018
- [j11]Martin Jänicke, Bernhard Sick, Sven Tomforde:
Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models. Informatics 5(3): 38 (2018) - [j10]Bernhard Sick, Sarah Oeste-Reiß, Albrecht Schmidt, Sven Tomforde, Katharina Anna Zweig:
Collaborative Interactive Learning. Inform. Spektrum 41(1): 52-55 (2018) - [j9]Sven Tomforde, Jan Kantert, Christian Müller-Schloer, Sebastian Bödelt, Bernhard Sick:
Comparing the Effects of Disturbances in Self-adaptive Systems - A Generalised Approach for the Quantification of Robustness. Trans. Comput. Collect. Intell. 28: 193-220 (2018) - [c82]Martin Jänicke, Viktor Schmidt, Bernhard Sick, Sven Tomforde, Paul Lukowicz:
Hijacked Smart Devices - Methodical Foundations for Autonomous Theft Awareness based on Activity Recognition and Novelty Detection. ICAART (2) 2018: 131-142 - [c81]Martin Jänicke, Viktor Schmidt, Bernhard Sick, Sven Tomforde, Paul Lukowicz, Jörn Schmeißing:
Smart Device Stealing and CANDIES. ICAART (Revised Selected Papers) 2018: 247-273 - [c80]Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick:
Active Learning With Realistic Data - A Case Study. IJCNN 2018: 1-8 - [c79]Ada Diaconescu, Sven Tomforde, Christian Müller-Schloer:
Holonic Cellular Automata: Modelling Multi-level Self-organisation of Structure and Behaviour. ALIFE 2018: 186-193 - [c78]Theresa Kromat, Tobias Dehling, Reinhold Haux, Christoph Peters, Bernhard Sick, Sven Tomforde, Klaus-Hendrik Wolf, Ali Sunyaev:
Gestaltungsraum für proaktive Smart Homes zur Gesundheitsförderung. MKWI 2018: 695-707 - [c77]Andreas Jahn, Sven Tomforde, Michel Morold, Klaus David, Bernhard Sick:
Towards Cooperative Self-adapting Activity Recognition. PECCS 2018: 215-222 - [c76]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 - [c75]Henner Heck, Bernhard Sick, Sven Tomforde:
Security Issues in Self-Improving System Integration - Challenges and Solution Strategies. FAS*W@SASO/ICAC 2018: 176-181 - [c74]Christian Gruhl, Sven Tomforde, Bernhard Sick:
Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime. FAS*W@SASO/ICAC 2018: 198-203 - [c73]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
- [b2]Christian Müller-Schloer, Sven Tomforde:
Organic Computing - Technical Systems for Survival in the Real World. Birkhäuser 2017, ISBN 978-3-319-68476-5 - [j8]Jan Kantert, Sven Tomforde, Richard Scharrer, Susanne Weber, Sarah Edenhofer, Christian Müller-Schloer:
Identification and classification of agent behaviour at runtime in open, trust-based organic computing systems. J. Syst. Archit. 75: 68-78 (2017) - [j7]Anthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner:
Interpolation in the eXtended Classifier System: An architectural perspective. J. Syst. Archit. 75: 79-94 (2017) - [j6]Kirstie L. Bellman, Jean Botev, Hanno Hildmann, Peter R. Lewis, Stephen Marsh, Jeremy Pitt, Ingo Scholtes, Sven Tomforde:
Socially-Sensitive Systems Design: Exploring Social Potential. IEEE Technol. Soc. Mag. 36(3): 72-80 (2017) - [c72]Jan Kantert, Sven Tomforde, Christian Müller-Schloer, Sarah Edenhofer, Bernhard Sick:
Quantitative Robustness - A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems. ICAART (1) 2017: 39-50 - [c71]Sven Tomforde, Jan Kantert, Bernhard Sick:
Measuring Self-organisation at Runtime - A Quantification Method based on Divergence Measures. ICAART (1) 2017: 96-106 - [c70]Klaus-Hendrik Wolf, Tobias Dehling, Reinhold Haux, Bernhard Sick, Ali Sunyaev, Sven Tomforde:
On Methodological and Technological Challenges for Proactive Health Management in Smart Homes. ICIMTH 2017: 209-212 - [c69]Anthony Stein, Stefan Rudolph, Sven Tomforde, Jörg Hähner:
Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS. IJCCI 2017: 129-140 - [c68]Adrian Calma, Daniel Kottke, Bernhard Sick, Sven Tomforde:
Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. FAS*W@SASO/ICCAC 2017: 109-116 - [i2]Sven Tomforde, Bernhard Sick, Christian Müller-Schloer:
Organic Computing in the Spotlight. CoRR abs/1701.08125 (2017) - [i1]David Bannach, Martin Jänicke, Vitor F. Rey, Sven Tomforde, Bernhard Sick, Paul Lukowicz:
Self-Adaptation of Activity Recognition Systems to New Sensors. CoRR abs/1701.08528 (2017) - 2016
- [j5]Sebastian von Mammen, Sven Tomforde, Jörg Hähner:
An Organic Computing Approach to Self-Organizing Robot Ensembles. Frontiers Robotics AI 3: 67 (2016) - [j4]Jan Kantert, Sven Tomforde, Melanie Kauder, Richard Scharrer, Sarah Edenhofer, Jörg Hähner, Christian Müller-Schloer:
Controlling Negative Emergent Behavior by Graph Analysis at Runtime. ACM Trans. Auton. Adapt. Syst. 11(2): 7:1-7:34 (2016) - [c67]Jan Kantert, Richard Scharrer, Sven Tomforde, Sarah Edenhofer, Christian Müller-Schloer:
Runtime Clustering of Similarly Behaving Agents in Open Organic Computing Systems. ARCS 2016: 321-333 - [c66]Stefan Rudolph, Rainer Hihn, Sven Tomforde, Jörg Hähner:
Comparison of Dependency Measures for the Detection of Mutual Influences in Organic Computing Systems. ARCS 2016: 334-347 - [c65]Anthony Stein, Dominik Rauh, Sven Tomforde, Jörg Hähner:
Augmenting the Algorithmic Structure of XCS by Means of Interpolation. ARCS 2016: 348-360 - [c64]Sven Tomforde, David Meier, Anthony Stein, Sebastian von Mammen:
Distributed resource allocation as co-evolution problem. CEC 2016: 1815-1822 - [c63]Anthony Stein, Christian Eymüller, Dominik Rauh, Sven Tomforde, Jörg Hähner:
Interpolation-based classifier generation in XCSF. CEC 2016: 3990-3998 - [c62]Sarah Edenhofer, Christopher Stifter, Sven Tomforde, Jan Kantert, Christian Müller-Schloer, Jörg Hähner:
Comparison of Surveillance Strategies to Identify Undesirable Behaviour in Multi-Agent Systems. ICAART (1) 2016: 132-140 - [c61]Jan Kantert, Lukas Klejnowski, Sarah Edenhofer, Sven Tomforde, Christian Müller-Schloer:
A Threatmodel for Trust-based Systems Consisting of Open, Heterogeneous and Distributed Agents. ICAART (1) 2016: 173-180 - [c60]Stefan Rudolph, Sven Tomforde, Jörg Hähner:
A Mutual Influence-based Learning Algorithm. ICAART (1) 2016: 181-189 - [c59]Jan Kantert, Melanie Kauder, Sarah Edenhofer, Sven Tomforde, Christian Müller-Schloer:
Detecting Colluding Attackers in Distributed Grid Systems. ICAART (1) 2016: 198-206 - [c58]Jan Kantert, Christian Reinbold, Sven Tomforde, Christian Müller-Schloer:
An Evaluation of Two Trust-Based Autonomic/Organic Grid Computing Systems for Volunteer-Based Distributed Rendering. ICAC 2016: 137-146 - [c57]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 - [c56]Kirstie L. Bellman, Sven Tomforde, Rolf P. Würtz:
Preface to SISSY 2016. ICAC 2016: 275 - [c55]Sven Tomforde, Stefan Rudolph, Kirstie L. Bellman, Rolf P. Würtz:
An Organic Computing Perspective on Self-Improving System Interweaving at Runtime. ICAC 2016: 276-284 - [c54]Martin Jänicke, Sven Tomforde, Bernhard Sick:
Towards Self-Improving Activity Recognition Systems Based on Probabilistic, Generative Models. ICAC 2016: 285-291 - [c53]Matthias Sommer, Michael Klink, Sven Tomforde, Jörg Hähner:
Predictive Load Balancing in Cloud Computing Environments Based on Ensemble Forecasting. ICAC 2016: 300-307 - [c52]Jan Kantert, Sven Tomforde, Georg von Zengen, Susanne Weber, Lars C. Wolf, Christian Müller-Schloer:
Improving Reliability and Reducing Overhead in Low-Power Sensor Networks Using Trust and Forgiveness. ICAC 2016: 325-333 - [c51]Jan Kantert, Sven Tomforde, Susanne Weber, Christian Müller-Schloer:
Coverage-guided Intelligent Test Loop - A Concept for Applying Instrumented Testing to Self-organising Systems. ICINCO (1) 2016: 221-226 - [c50]Jörg Hähner, Klement Streit, Sven Tomforde:
Cellular traffic offloading through network-assisted ad-hoc routing in cellular networks. ISCC 2016: 469-476 - [c49]Sarah Edenhofer, Christopher Stifter, Youssef Madkour, Sven Tomforde, Jan Kantert, Christian Müller-Schloer, Jörg Hähner:
Bottom-Up Norm Adjustment in Open, Heterogeneous Agent Societies. FAS*W@SASO/ICCAC 2016: 36-41 - [c48]Henner Heck, Stefan Rudolph, Christian Gruhl, Arno Wacker, Jörg Hähner, Bernhard Sick, Sven Tomforde:
Towards Autonomous Self-Tests at Runtime. FAS*W@SASO/ICCAC 2016: 98-99 - [c47]Ada Diaconescu, Sylvain Frey, Christian Müller-Schloer, Jeremy Pitt, Sven Tomforde:
Goal-Oriented Holonics for Complex System (Self-)Integration: Concepts and Case Studies. SASO 2016: 100-109 - [c46]Matthias Sommer, Sven Tomforde, Jörg Hähner:
Forecast-augmented Route Guidance in Urban Traffic Networks based on Infrastructure Observations. VEHITS 2016: 177-186 - [p8]Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Normative Control: Controlling Open Distributed Systems with Autonomous Entities. Trustworthy Open Self-Organising Systems 2016: 89-126 - [p7]Sarah Edenhofer, Sven Tomforde, Jan Kantert, Lukas Klejnowski, Yvonne Bernard, Jörg Hähner, Christian Müller-Schloer:
Trust Communities: An Open, Self-Organised Social Infrastructure of Autonomous Agents. Trustworthy Open Self-Organising Systems 2016: 127-152 - [p6]Matthias Sommer, Sven Tomforde, Jörg Hähner:
An Organic Computing Approach to Resilient Traffic Management. Autonomic Road Transport Support Systems 2016: 113-130 - 2015
- [c45]Jan Kantert, Sarah Edenhofer, Sven Tomforde, Christian Müller-Schloer:
Representation of Trust and Reputation in Self-Managed Computing Systems. CIT/IUCC/DASC/PICom 2015: 1827-1834 - [c44]Jan Kantert, Sergej Wildemann, Georg von Zengen, Sarah Edenhofer, Sven Tomforde, Lars C. Wolf, Jörg Hähner, Christian Müller-Schloer:
Improving Reliability and Endurance Using End-to-End Trust in Distributed Low-Power Sensor Networks. ARCS 2015: 135-145 - [c43]Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Defending Autonomous Agents Against Attacks in Multi-Agent Systems Using Norms. ICAART (1) 2015: 149-156 - [c42]Sarah Edenhofer, Christopher Stifter, Uwe Jänen, Jan Kantert, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
An Accusation-Based Strategy to Handle Undesirable Behaviour in Multi-agent Systems. ICAC 2015: 243-248 - [c41]Matthias Sommer, Sven Tomforde, Jörg Hähner:
Learning a Dynamic Re-combination Strategy of Forecast Techniques at Runtime. ICAC 2015: 261-266 - [c40]Jan Kantert, Henning Spiegelberg, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Distributed Rendering in an Open Self-Organised Trusted Desktop Grid. ICAC 2015: 267-272 - [c39]Christian Gruhl, Bernhard Sick, Arno Wacker, Sven Tomforde, Jörg Hähner:
A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection. iCAST 2015: 194-200 - [c38]Sven Tomforde, Jan Kantert, Sebastian von Mammen, Jörg Hähner:
Cooperative Self-optimisation of Network Protocol Parameters at Runtime. ICINCO (1) 2015: 123-130 - [c37]Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Detecting and Isolating Inconsistently Behaving Agents using an Intelligent Control Loop. ICINCO (1) 2015: 246-253 - [c36]Jan Kantert, Sven Tomforde, Christian Müller-Schloer:
Addressing Challenges Beyond Classic Control with Organic Computing. ICINCO (1) 2015: 264-269 - [c35]Jan Kantert, Christian Ringwald, Georg von Zengen, Sven Tomforde, Lars C. Wolf, Christian Müller-Schloer:
Enhancing RPL for Robust and Efficient Routing in Challenging Environments. SASO Workshops 2015: 7-12 - [c34]Stefan Rudolph, Sven Tomforde, Bernhard Sick, Jörg Hähner:
A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement. SASO 2015: 144-149 - 2014
- [j3]Sven Tomforde, Jörg Hähner, Bernhard Sick:
Interwoven Systems. Inform. Spektrum 37(5): 483-487 (2014) - [j2]Sven Tomforde, Christian Müller-Schloer:
Incremental design of adaptive systems. J. Ambient Intell. Smart Environ. 6(2): 179-198 (2014) - [c33]Sven Tomforde, Jörg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker, Ingo Scholtes:
Engineering and Mastering Interwoven Systems. ARCS Workshops 2014: 1-8 - [c32]Stefan Rudolph, Sarah Edenhofer, Sven Tomforde, Jörg Hähner:
Reinforcement Learning for Coverage Optimization Through PTZ Camera Alignment in Highly Dynamic Environments. ICDSC 2014: 19:1-19:6 - [c31]Sven Tomforde, Alexander Ostrovsky, Jörg Hähner:
Load-aware Reconfiguration of LTE-Antennas - Dynamic Cell-phone Network Adaptation Using Organic Network Control. ICINCO (1) 2014: 236-243 - [c30]Jan Kantert, Hannes Scharf, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Implementing an Adaptive Higher Level Observer in Trusted Desktop Grid to Control Norms. ICINCO (1) 2014: 288-295 - [c29]Jan Kantert, Hannes Scharf, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
A Graph Analysis Approach to Detect Attacks in Multi-agent Systems at Runtime. SASO 2014: 80-89 - [c28]Kirstie L. Bellman, Sven Tomforde, Rolf P. Würtz:
"Self-Improving System Integration" - Preface for the SISSY14 Workshop. SASO Workshops 2014: 122 - [c27]Kirstie L. Bellman, Sven Tomforde, Rolf P. Würtz:
Interwoven Systems: Self-Improving Systems Integration. SASO Workshops 2014: 123-127 - [c26]Sven Tomforde, Jörg Hähner, Sebastian von Mammen, Christian Gruhl, Bernhard Sick, Kurt Geihs:
"Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems. SASO Workshops 2014: 150-159 - [c25]Jan Kantert, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Robust Self-Monitoring in Trusted Desktop Grids for Self-Configuration at Runtime. SASO Workshops 2014: 178-185 - [c24]Jan Kantert, Lukas Klejnowski, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Advanced Attacks to Trusted Communities in Multi-agent Systems. SASO Workshops 2014: 186-191 - [c23]Jan Kantert, Sebastian Bödelt, Sarah Edenhofer, Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Interactive Simulation of an Open Trusted Desktop Grid System with Visualisation in 3D. SASO 2014: 191-192 - [c22]Sebastian von Mammen, Sven Tomforde, Jörg Hähner, Patrick Lehner, Lukas Forschner, Andreas Hiemer, Mirela Nicola, Patrick Blickling:
OCbotics: An organic computing approach to collaborative robotic swarms. SIS 2014: 90-97 - [p5]Carsten Grenz, Sven Tomforde, Jörg Hähner:
Access-Centric In-Network Storage Optimization in Distributed Sensing Networks. Human Behavior Understanding in Networked Sensing 2014: 19-44 - 2013
- [c21]Jörg Hähner, Stefan Rudolph, Sven Tomforde, Dominik Fisch, Bernhard Sick, Nils Kopal, Arno Wacker:
A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques. ARCS Workshops 2013 - [c20]Sven Tomforde, Jörg Hähner, Christian Müller-Schloer:
Incremental Design of Organic Computing Systems - Moving System Design from Design-Time to Runtime. ICINCO (1) 2013: 185-192 - [c19]Sven Tomforde, Uwe Jänen, Jörg Hähner, Martin Hoffmann:
SmaCCS: Smart Camera Cloud Services - Towards an Intelligent Cloud-based Surveillance System. ICINCO (1) 2013: 288-293 - [c18]Matthias Sommer, Sven Tomforde, Jörg Hähner:
Using a Neural Network for Forecasting in an Organic Traffic Control Management System. ESOS 2013 - 2012
- [c17]Christian Becker, Jörg Hähner, Sven Tomforde:
Flexibility in Organic Systems - Remarks on Mechanisms for Adapting System Goals at Runtime. ICINCO (1) 2012: 287-292 - [c16]Holger Prothmann, Sven Tomforde, Johannes Lyda, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck:
Self-Organised Routing for Road Networks. IWSOS 2012: 48-59 - [p4]Sven Tomforde, Jörg Hähner:
Organic Network Control. Biologically Inspired Networking and Sensing 2012: 11-35 - 2011
- [b1]Sven Tomforde:
An architectural framework for self-configuration and self-improvement at runtime. University of Hanover, 2011, pp. 1-250 - [c15]Sven Tomforde, Andreas Brameshuber, Jörg Hähner, Christian Müller-Schloer:
Restricted on-line learning in real-world systems. IEEE Congress on Evolutionary Computation 2011: 1628-1635 - [c14]Björn Hurling, Sven Tomforde, Stefan Rudolph, Jörg Hähner, Christian Müller-Schloer:
Evolving network protocols. ICAC 2011: 173-174 - [c13]Holger Prothmann, Hartmut Schmeck, Sven Tomforde, Johannes Lyda, Jörg Hähner, Christian Müller-Schloer, Jürgen Branke:
Decentralised Route Guidance in Organic Traffic Control. SASO 2011: 219-220 - [c12]Emre Çakar, Sven Tomforde, Christian Müller-Schloer:
A role-based imitation algorithm for the optimisation in dynamic fitness landscapes. SWIS 2011: 139-146 - [p3]Sven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Moez Mnif, Christian Müller-Schloer, Urban Richter, Hartmut Schmeck:
Observation and Control of Organic Systems. Organic Computing 2011: 325-338 - [p2]Holger Prothmann, Sven Tomforde, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck:
Organic Traffic Control. Organic Computing 2011: 431-446 - [p1]Björn Hurling, Sven Tomforde, Jörg Hähner:
Organic Network Control. Organic Computing 2011: 611-613 - 2010
- [c11]Sven Tomforde, Ioannis Zgeras, Jörg Hähner, Christian Müller-Schloer:
Adaptive Control of Sensor Networks. ATC 2010: 77-91 - [c10]Sven Tomforde, Björn Hurling, Jörg Hähner:
Dynamic Control of Mobile Ad-hoc Networks - Network Protocol Parameter Adaptation using Organic Network Control. ICINCO (1) 2010: 28-35 - [c9]Sven Tomforde, Björn Hurling, Jörg Hähner:
Distributed Network Protocol Parameter Adaptation in Mobile Ad-Hoc Networks. ICINCO (Selected Papers) 2010: 91-104 - [c8]Sven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck:
Possibilities and limitations of decentralised traffic control systems. IJCNN 2010: 1-9 - [c7]Björn Hurling, Sven Tomforde, Jörg Hähner:
A Generic Architecture for Restricted On-line Learning of Network Protocol Parameters. SASO Workshops 2010: 26-33
2000 – 2009
- 2009
- [j1]Holger Prothmann, Jürgen Branke, Hartmut Schmeck, Sven Tomforde, Fabian Rochner, Jörg Hähner, Christian Müller-Schloer:
Organic traffic light control for urban road networks. Int. J. Auton. Adapt. Commun. Syst. 2(3): 203-225 (2009) - [c6]Sven Tomforde, Marcel Steffen, Jörg Hähner, Christian Müller-Schloer:
Towards an Organic Network Control System. ATC 2009: 2-16 - [c5]Michael Wittke, Sven Tomforde, Yaser Chaaban, Jürgen Brehm:
Visual Twittering Using Mobile Phones in Pervasive Environments. GI Jahrestagung 2009: 1950-1964 - [c4]Martin Hoffmann, Sven Tomforde, Yvonne Bernard, Lukas Klejnowski, Jörg Hähner:
POWEA: A System for Automated Network Protocol Parameter Optimisation Using Evolutionary Algorithms. GI Jahrestagung 2009: 3177-3191 - [c3]Sven Tomforde, Emre Cakar, Jörg Hähner:
Dynamic Control of Network Protocols - A New Vision for Future Self-organising Networks. ICINCO-ICSO 2009: 285-290 - 2008
- [c2]Holger Prothmann, Fabian Rochner, Sven Tomforde, Jürgen Branke, Christian Müller-Schloer, Hartmut Schmeck:
Organic Control of Traffic Lights. ATC 2008: 219-233 - [c1]Sven Tomforde, Holger Prothmann, Fabian Rochner, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck:
Decentralised Progressive Signal Systems for Organic Traffic Control. SASO 2008: 413-422
Coauthor Index
[j12] [i4] [c73] [j7] [c69] [j5] [j4] [c66] [c65] [c63] [c62] [c60] [c57] [c53] [c50] [c49] [c48] [c46] [p8] [p7] [p6] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c34] [j3] [c33] [c32] [c31] [c30] [c29] [c26] [c25] [c24] [c23] [c22] [p5] [c21] [c20] [c19] [c18] [c17] [c16] [p4] [c15] [c14] [c13] [p3] [p2] [p1] [c11] [c10] [c9] [c8] [c7] [j1] [c6] [c4] [c3] [c1]
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