Publikationen
Wissenschaftliche Publikationen des Instituts der letzten zwei Jahre
2023
- Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis. . In arXiv e-prints, bl arXiv:2307.14294. 2023.
- Tailored Output Layers of Neural Networks for Satisfaction of State Constraints in Nonlinear Control Systems. . In Proceedings of the 2023 Annual American Control Conference (ACC). 2023.
- Model-Based Optimization of Vaccination Strategies in Different Phases of Pandemic Virus Spread. . In Informatics in Control, Automation and Robotics. ICINCO 2021. Lecture Notes in Electrical Engineering, 1006, bll 185–208. 2023.
- A Digital Twin for Part QualityPrediction and Control in Plastic Injection Molding. . In Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0, 1st , P. Mercorelli, W. Zhang, H. Nemati, Y. Zhang (reds.). Elsevier, 2023.
- Integration of a High-Precision 3D Sensor into a 3D Thermography System. . In Sensor and Measurement Science International Conference (SMSI) 2023. AMA Verband für Sensorik und Messtechnik e.V., Nürnberg, 2023.
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- An Airborne Measurement System to Detect, Locate and Quantify Methane Emissions. . In Sensor and Measurement Science International Conference (SMSI) 2023. AMA Verband für Sensorik und Messtechnik e.V., Nürnberg, 2023.
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- Spatio-temporal LPV model of 2D workpiece temperature for Direct Laser Deposition. . In 22nd IFAC World Congress. IFAC, Yokohama, 2023.
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- Utilizing Continuous Kernels for Processing Irregularly and Inconsistently Sampled Data With Position-Dependent Features. . In International Conference on Autonomic and Autonomous Systems (ICAS), bll 49–53. ThinkMind, 2023.
- Reconstruction of incomplete X-ray diffraction pole figures of oligocrystalline materials using deep learning. . In Scientific Reports, 13(1), bl 5410. Springer Nature, 2023.
- Reference Tracking for Constrained Uncertain Linear Systems by Stochastic MPC. . In Proc. of the 22nd IFAC World Congress. 2023.
- Distributed MPC of Uncertain Multi-Agent Systems Considering Formations and Obstacles. . In Proc. of the 22nd IFAC World Congress. 2023.
- On Optimal Synchronization of Diffusively Coupled Heterogeneous Van Der Pol Oscillators. . In Proc. of the 22nd IFAC World Congress. 2023.
- Distributed Interval Estimation for Continuous-Time Linear Systems: A Two-Step Method. . In Proc. of the 22nd IFAC World Congress. 2023.
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- DNN-Approximations of Control Laws for Nonlinear Systems with Polytopic Constraints. . In Proc. of the 22nd IFAC World Congress. 2023.
- Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning. . In International Conference on Computational Intelligence and Intelligent Systems (CIIS). ACM, 2023.
- Power flow forecasts at transmission grid nodes using Graph Neural Networks. . In Energy and AI, 14(1), bl 100262. Elsevier, 2023.
- Graph Neural Networks Designed for Different Graph Types: A Survey. . In Transactions on Machine Learning Research. 2023.
- Sampling-based Uncertainty Estimation for an Instance Segmentation Network. . In arXiv e-prints, bl arXiv:2305.14977. 2023.
- On the Design of Limit Cycles of Planar Switching Affine Systems. . In Proc. of the 2023 European Control Conference. 2023.
- Model Predictive Control of PDEs for Temperature Control in 3D-Printing Processes. . In Proc. of the 2023 European Control Conference. 2023.
- A Unified Approach to Communication Delay and Communication Frequency in Distributed State Estimation of Linear Systems. . In IEEE Control Systems Letters. 2023.
- Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents. . In Energy and AI, 14, bl 100276. Energy and AI, 2023.
- Time-aware Robustness of Temporal Graph Neural Networks for Link Prediction. . In International Symposium on Temporal Representation and Reasoning (TIME). 2023.
- Organic Computing -- Doctoral Dissertation Colloquium 2022. . In Vol. 24Intelligent Embedded Systems. kassel university press, 2023.
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- Sensor Equivariance by LiDAR Projection Images. . In IEEE Intelligent Vehicles Symposium (IV), bll 1–6. IEEE, 2023.
- The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. . In IEEE Intelligent Vehicles Symposium (IV), bll 1–7. IEEE, 2023.
- Context-aware recommendations for extended electric vehicle battery lifetime. . In Sustainable Computing: Informatics and Systems (SUSCOM), 37, bl 100845. Elsevier, 2023.
2022
- Self-Adaptive Charging Management in Electric Vehicle Infrastructures based on Reinforcement Learning. . In Organic Computing -- Doctoral Dissertation Colloquium 2022, S. Tomforde, C. Krupitzer (reds.), bll 1–16. kassel university press, 2022.
- Actively Controlling and Redesigning Experiments using the Application Case of Free-Electron Laser Pulse Characterization. . In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 86–98. kassel university press, 2022.
- Graph Neural Networks Designed for Different Graph Types: A Survey. . In arXiv e-prints, bl arXiv:2204.03080. 2022.
- Predicting flow stress behavior of an AA7075 alloy using machine learning methods. . In Crystals, 9(12), bll 1–19. MDPI, 2022.
- Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning. . In arXiv e-prints, bl arXiv:2210.06112. 2022.
- FDGNN: Fully Dynamic Graph Neural Network. . In arXiv e-prints, bl arXiv:2206.03469. 2022.
- A Review of Uncertainty Calibration in Pretrained Object Detectors. . In arXiv e-prints, bl arXiv:2210.02935. 2022.
- A Holistic View on Probabilistic Trajectory Forecasting -- Case Study: Cyclist Intention Detection. . In IEEE Intelligent Vehicles Symposium (IV), bll 265–272. IEEE, 2022.
- Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning. . In Workshop on Interactive Machine Learning Workshop (IMLW), AAAI, bll 1–6. 2022.
- On Stability of Network Control Systems with Switching Transmission Probabilities. . In IFAC-PapersOnLine, 55(13), bll 276–281. 2022.
- Distributed Solution of Mixed-Integer Programs by ADMM with Closed Duality Gap. . In 61st IEEE Conference on Decision and Control (CDC). 2022.
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- Efficient Fault Detection for Discrete-Time PWA Systems,. . In IEEE Control Systems Letters, 6, bll 3361–3366. 2022.
- Distributed Optimization for Mixed-Integer Consensus in Multi-Agent Networks. . In 2022 European Control Conference (ECC), bll 2196–2202. 2022.
- Active Learning in Multivariate Time Series Anomaly Detection. . In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 113–124. kassel university press, 2022.
- Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems. . In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 47–59. kassel university press, 2022.
- Optimizing a superconducting radio-frequency gun using deep reinforcement learning. . In Physical Review Accelerators and Beams, 25(10), bl 104604. American Physical Society, 2022.
- Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts. . In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 125–140. kassel university press, 2022.
- Stream-Based Active Learning in Changing Environments under Verification Latency. . In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 152–164. kassel university press, 2022.
- Student Research Abstract: Using Local Activity Encoding for Dynamic Graph Pooling in Stuctural-Dynamic Graphs. . In ACM/SIGAPP Symposium on Applied Computing (SAC), bll 604–609. ACM, 2022.
- Student Research Abstract: Continuous-Time Generative Graph Neural Network for Attributed Dynamic Graphs. . In ACM/SIGAPP Symposium on Applied Computing (SAC), bll 600–603. ACM, 2022.
- Using AoI Forecasts in Communicating and Robust Distributed Model-Predictive Control. . In IEEE Transactions on Control of Network Systems, 9(2), bll 742–752. 2022.
- Uncertain AoI in stochastic optimal control of constrained LTI systems. . In at - Automatisierungstechnik, 70(4), bll 343–354. 2022.
- Zum strukturvorwissensbasierten Testsignalentwurf mittels Vorsteuerung für die Identifikation von Takagi-Sugeno-Modellen. . In at -- Automatisierungstechnik, 70(2), bll 119–133. 2022.
- A Deep Recurrent Neural Network model for affine quasi-LPV System identification. . In Preprints of the 20th European Control Conference (ECC). London, UK, 2022.
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- Method and Experimental Investigation of Surface Heat Dissipation Measurement using 3D Thermography. . In Journal of Sensors and Sensor Systems (JSSS) - Sensors and Measurement Science International (SMSI) 2021 Special Issue, November, bll 41–49. 2022.
- Compensating the Size-of-Source Effect: Relationship between the MTF and a Data-Driven Convolution Filter Approach. . In 16th Quantitative InfraRed Thermography Conference (QIRT). Paris, Frankreich, 2022.
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- Calibration and validation of micromagnetic data for non-destructive analysis of near-surface properties after hard turning. . In HTM Journal of Heat Treatment and Materials. 2022.
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- Control of Jump Markov Uncertain Linear Systems With General Probability Distributions. . In Frontiers of Control Eng., Vol 3. 2022.
- Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario. . In Information and Software Technology, 145, bl 106826. Elsevier, 2022.
- Efficient SVDD sampling with approximation guarantees for the decision boundary. . In Machine Learning, 111(4), bll 1349–1375. Springer, 2022.
- A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning. . In Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, bll 1–6. 2022.
- Deep Adaptive Knowledge-Aware Learning for E-Mobility. . In Organic Computing - Doctoral Dissertation Colloquium 2022, S. Tomforde, C. Krupitzer (reds.), bll 139–155. kassel university press, 2022.
- Eine Python-Toolbox zur datengetriebenen Modellierung des Spritzgieprozsses und Lösung von Optimalsteuerungsproblemen zur Steuerung der Bauteilqualität. . In 32. Workshop Computational Intelligence, bll 133–150. KIT Scientific Publishing, Berlin, 2022.
- Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users Trajectories. . In IEEE Transactions on Intelligent Vehicles, 8(3), bll 2592–2603. IEEE, 2022.
- Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs. . In arXiv e-prints, bl arXiv:2210.03990. 2022.
- Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting. . In International Conference on Machine Learning and Applications (ICMLA), bll 1530–1536. IEEE, 2022.
- A Stopping Criterion for Transductive Active Learning. . In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), bll 468–484. Springer, 2022.
- Detecting Corner Case in the Context of Highly Automated Driving. . In Organic Computing -- Doctoral Dissertation Colloquium 2021, S. Tomforde, C. Krupitzer (reds.), bll 60–73. kassel university press, 2022.
- Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. . In IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (IEEE CIVTS), IEEE SSCI, bll 86–93. IEEE, 2022.
- Approximation of the Feasible Parameter Set in Bounded-Error Parameter Estimation of Takagi-Sugeno Fuzzy Models for Large Problems by Using a Ray Shooting Method. . In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022). Padua, Italy, 2022.
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- Method and Experimental Investigation of Surface Heat Dissipation Measurement using 3D Thermography. . In Journal of Sensors and Sensor Systems (JSSS), 11, bll 41–49. 2022.
- Predicting the compressive strength of concrete up to 28 days-ahead: Comparison of machine learning algorithms on benchmark datasets. . In 32. Workshop Computational Intelligence, bll 53–75. KIT Scientific Publishing, Berlin, 2022.
- Investigation of processing windows in additive manufacturing of AlSi10Mg for faster production utilizing data-driven modelling. . In Additive Manufacturing, 55. Elsevier, 2022.
- The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization. . In Preprints of the International Joint Conference on Neural Networks (IJCNN 2022), bll 1–8. Padua, Italy, 2022.
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- An internal dynamics approach to predicting batch-end product quality in plastic injection molding using Recurrent Neural Networks. . In IFAC-PapersOnLine, Vol. 53, bll 1427–1432. Elsevier, Trieste, Italy, 2022.
- On affine quasi-LPV System Identification with unknown state-scheduling using (deep) Recurrent Neural Networks. . In IFAC-PapersOnLine, bll 446–451. Sinaia, Romania, 2022.
- Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources. . In Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, bll 27–42. 2022.
- Calibration and validation of micromagnetic data for non-destructive analysis of near-surface properties after hard turning. . In HTM Journal of Heat Treatment and Materials, 77(2), bll 156–172. 2022.
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- Organic Computing -- Doctoral Dissertation Colloquium 2021. . In Vol. 20Intelligent Embedded Systems. kassel university press, 2022.
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- LwTool: A data processing toolkit for building a real-time pressure mapping smart textile software system. . In Pervasive and Mobile Computing, 80, bl 101540. Elsevier, 2022.
- Multi-Task Autoencoders and Transfer Learning for Day-Ahead Wind and Photovoltaic Power Forecasts. . In Energies, 15(21), bl 8062. MDPI, 2022.
- On the Extension of the Weisfeiler-Lehman Hierarchy by WL Tests for Arbitrary Graphs. . In Workshp on Mining and Learning on Graphs (MLG), ECML PKDD, bll 1–13. 2022.
- Social Machines. . In Informatik Spektrum, 45(1), bll 38–42. Springer, 2022.
- NDNET: A Unified Framework for Anomaly and Novelty Detection. . In International Conference on Architecture of Computing Systems (ARCS), bll 197–210. Springer, 2022.
- Self-Aware Microsystems. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 126–127. IEEE, 2022.
- Three-dimensional close-to-substrate trajectories of magnetic microparticles in dynamically changing magnetic field landscapes. . In Scientific Reports, 12(1), bll 1–10. Springer Nature, 2022.
- Heterogeneous Multi-Source Deep Adaptive Knowledge-Aware Learning for E-Mobility. . In IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), bll 57–60. IEEE, 2022.
- Receding-Horizon Control of Constrained Switched Systems with Neural Networks as Parametric Function Approximators. . In SN Computer Science, 4(62). 2022.
- Artificial intelligence for online characterization of ultrashort X‑ray free‑electron laser pulses. . In Scientific Reports, 12(1), bll 1–14. Nature Publishing Group, 2022.
- A Practical Evaluation of Active Learning Approaches for Object Detection. . In Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, bll 49–67. 2022.
- The Vision of Self-Management in Cognitive Organic Power Distribution Systems. . In Energies, 15(3), bl 881. MDPI, 2022.