Roel Dobbe
Orcid: 0000-0003-4633-7023Affiliations:
- TU Delft, The Netherlands
According to our database1,
Roel Dobbe
authored at least 42 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on tudelft.nl
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on orcid.org
On csauthors.net:
Bibliography
2024
Correction to: Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context.
Minds Mach., September, 2024
Minds Mach., June, 2024
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management.
J. Artif. Intell. Res., 2024
Integral system safety for machine learning in the public sector: An empirical account.
Gov. Inf. Q., 2024
AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations.
CoRR, 2024
Data sufficient products: speculative design explorations for sustainable digital futures.
Proceedings of the 27th International Academic Mindtrek Conference, 2024
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2024
Designing organizational control mechanisms for consequential AI systems: towards a situated methodology (poster).
Proceedings of Ongoing Research, 2024
2023
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
Algorithms as Social-Ecological-Technological Systems: an Environmental Justice Lens on Algorithmic Audits.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the Joint Proceedings of Ongoing Research, 2023
Diagnosing and Addressing Emergent Harms in the Design Process of Public AI and Algorithmic Systems.
Proceedings of the 24th Annual International Conference on Digital Government Research, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Proceedings of the 4th IEEE International Conference on Trust, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Dismantling Digital Cages: Examining Design Practices for Public Algorithmic Systems.
Proceedings of the Electronic Government - 21st IFIP WG 8.5 International Conference, 2022
2021
2020
IEEE Trans. Smart Grid, 2020
Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning.
IEEE Trans. Smart Grid, 2020
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
2019
Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation.
CoRR, 2019
Blind identification of fully observed linear time-varying systems via sparse recovery.
Autom., 2019
Distributed Model Predictive Control for Autonomous Droop-Controlled Inverter-Based Microgrids.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
An Integrative Approach to Data-Driven Monitoring and Control of Electric Distribution Networks.
PhD thesis, 2018
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics.
CoRR, 2018
CoRR, 2018
Forecasting-Based State Estimation for Three-Phase Distribution Systems with Limited Sensing.
CoRR, 2018
Frequency Regulation in Hybrid Power Dynamics with Variable and Low Inertia due to Renewable Energy.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Blind Identification of Fully Observed Discrete-Time Linear Time-Varying Systems via Sparse Recovery.
CoRR, 2017
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Reconstruction of Gene Regulatory Networks Based on Repairing Sparse Low-Rank Matrices.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Event Detection and Localization in Distribution Grids with Phasor Measurement Units.
CoRR, 2016
Real-Time Distribution Grid State Estimation with Limited Sensors and Load Forecasting.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016
A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Heterogeneity in cancer dynamics: A convex formulation to dissect dynamic trajectories and infer LTV models of networked systems.
Proceedings of the American Control Conference, 2015
2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012