Publikationen
- [ 2023 ]
- [ 2022 ]
- [ 2021 ]
- [ 2020 ]
- [ 2019 ]
- [ 2018 ]
- [ 2017 ]
- [ 2016 ]
- [ 2015 ]
- [ 2014 ]
- [ 2013 ]
- [ 2012 ]
- [ 2011 ]
- [ 2010 ]
- [ 2007 ]
- [ 2006 ]
2023[ to top ]
- 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).
- The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset In: IEEE Intelligent Vehicles Symposium (IV). IEEE (2023).
- Sensor Equivariance by LiDAR Projection Images In: IEEE Intelligent Vehicles Symposium (IV). IEEE (2023).
- Sampling-based Uncertainty Estimation for an Instance Segmentation Network arXiv e-prints. arXiv:2305.14977 (2023).
- Reconstruction of incomplete X-ray diffraction pole figures of oligocrystalline materials using deep learning Scientific Reports. 13, 5410 (2023). https://doi.org/10.1038/s41598-023-31580-1.
- Power flow forecasts at transmission grid nodes using Graph Neural Networks Energy and AI. 14, 100262 (2023). https://doi.org/10.1016/j.egyai.2023.100262.
- Graph Neural Networks Designed for Different Graph Types: A Survey Transactions on Machine Learning Research. (2023).
- Context-aware recommendations for extended electric vehicle battery lifetime Sustainable Computing: Informatics and Systems (SUSCOM). 37, 100845 (2023). https://doi.org/10.1016/j.suscom.2022.100845.
2022[ to top ]
- Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs arXiv e-prints. 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). https://doi.org/10.1109/ICMLA55696.2022.00240.
- Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems In: Tomforde, S. en Krupitzer, C. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2021. bll 47–59. kassel university press (2022).
- Three-dimensional close-to-substrate trajectories of magnetic microparticles in dynamically changing magnetic field landscapes Scientific Reports. 12, 1–10 (2022). https://doi.org/10.1038/s41598-022-25391-z.
- The Vision of Self-Management in Cognitive Organic Power Distribution Systems Energies. 15, 881 (2022). https://doi.org/https://doi.org/10.3390/en15030881.
- 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). https://doi.org/10.1145/3477314.3506969.
- 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). https://doi.org/10.1145/3477314.3508018.
- Stream-Based Active Learning in Changing Environments under Verification Latency In: Tomforde, S. en Krupitzer, C. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2021. bll 152–164. 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). https://doi.org/10.1109/SSCI51031.2022.10022241.
- Social Machines Informatik Spektrum. 45, 38–42 (2022). https://doi.org/https://doi.org/10.1007/s00287-021-01421-4.
- Self-Aware Microsystems In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 126–127. IEEE (2022). https://doi.org/10.1109/ACSOSC56246.2022.00045.
- Self-Adaptive Charging Management in Electric Vehicle Infrastructures based on Reinforcement Learning In: Organic Computing -- Doctoral Dissertation Colloquium 2022. kassel university press (2022).
- Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario Information and Software Technology. 145, 106826 (2022). https://doi.org/10.1016/j.infsof.2022.106826.
- Predicting flow stress behavior of an AA7075 alloy using machine learning methods Crystals. 9, 1–19 (2022). https://doi.org/10.3390/cryst12091281.
- Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users Trajectories IEEE Transactions on Intelligent Vehicles. 8, 2592–2603 (2022). https://doi.org/10.1109/TIV.2022.3149624.
- Optimizing a superconducting radio-frequency gun using deep reinforcement learning Physical Review Accelerators and Beams. 25, 104604 (2022). https://doi.org/10.1103/PhysRevAccelBeams.25.104604.
- NDNET: A Unified Framework for Anomaly and Novelty Detection In: International Conference on Architecture of Computing Systems (ARCS). bll 197–210. Springer (2022). https://doi.org/10.1007/978-3-031-21867-5_13.
- 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). https://doi.org/10.1109/ACSOSC56246.2022.00030.
- Graph Neural Networks Designed for Different Graph Types: A Survey arXiv e-prints. arXiv:2204.03080 (2022).
- Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches In: IEEE International Conference on Data Science and Advanced Analytics (DSAA). bll 513–522. IEEE (2022). https://doi.org/10.1109/DSAA54385.2022.10032385.
- FDGNN: Fully Dynamic Graph Neural Network arXiv e-prints. arXiv:2206.03469 (2022).
- Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning arXiv e-prints. arXiv:2210.06112 (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).
- Efficient SVDD sampling with approximation guarantees for the decision boundary Machine Learning. 111, 1349–1375 (2022). https://doi.org/10.1007/s10994-022-06149-0.
- Detecting Corner Case in the Context of Highly Automated Driving In: Tomforde, S. en Krupitzer, C. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2021. bll 60–73. kassel university press (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).
- Deep Adaptive Knowledge-Aware Learning for E-Mobility In: Organic Computing - Doctoral Dissertation Colloquium 2022. kassel university press (2022).
- Artificial intelligence for online characterization of ultrashort X‑ray free‑electron laser pulses Scientific Reports. 12, 1–14 (2022). https://doi.org/10.1038/s41598-022-21646-x.
- Adaptive Explainable Continual Learning Framework for Regression Problems with Focus on Power Forecasts In: Tomforde, S. en Krupitzer, C. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2021. bll 125–140. kassel university press (2022).
- Actively Controlling and Redesigning Experiments using the Application Case of Free-Electron Laser Pulse Characterization In: Tomforde, S. en Krupitzer, C. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2021. bll 86–98. kassel university press (2022).
- Active Learning in Multivariate Time Series Anomaly Detection In: Tomforde, S. en Krupitzer, C. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2021. bll 113–124. kassel university press (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). https://doi.org/10.1007/978-3-031-26412-2_29.
- A Review of Uncertainty Calibration in Pretrained Object Detectors arXiv e-prints. arXiv:2210.02935 (2022).
- A Practical Evaluation of Active Learning Approaches for Object Detection In: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. bll 49–67 (2022).
- A Holistic View on Probabilistic Trajectory Forecasting -- Case Study: Cyclist Intention Detection In: IEEE Intelligent Vehicles Symposium (IV). bll 265–272. IEEE (2022). https://doi.org/10.1109/IV51971.2022.9827220.
- 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).
2021[ to top ]
- Uncertainty and Utility Sampling with Pre-Clustering In: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD (2021).
- Transport efficiency of biofunctionalized magnetic particles tailored by surfactant concentration Langmuir. 37, 8498–8507 (2021). https://doi.org/10.1021/acs.langmuir.1c00900.
- Translatory and rotatory motion of exchange-bias capped Janus particles controlled by dynamic magnetic field landscapes Scientific Reports. 11, 21794 (2021). https://doi.org/10.1038/s41598-021-01351-x.
- Traffic Safety in Future Cities by Using a Safety Approach Based on AI and Wireless Communications In: ITG-Symposium on Mobile Communication - Technologies and Applications. bll 1–6. , Osnabrück, Germany (2021).
- Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems In: IEEE International Smart Cities Conference (ISC2). bll 1–4. IEEE (2021). https://doi.org/10.1109/isc253183.2021.9562912.
- Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands In: IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). bll 120–130. IEEE, Washington, DC, USA (2021). https://doi.org/10.1109/acsos52086.2021.00031.
- Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks In: Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll 361–374. IEEE, Milan, Italy (2021). https://doi.org/10.1007/978-3-030-68799-1_26.
- Toward optimal probabilistic active learning using a Bayesian approach Machine Learning. 110, 1199–1231 (2021). https://doi.org/10.1007/s10994-021-05986-9.
- Toward Application of Continuous Power Forecasts in a Regional Flexibility Market In: International Joint Conference on Neural Networks (IJCNN). bll 1–8. IEEE (2021). https://doi.org/10.1109/ijcnn52387.2021.9533626.
- Toward AI-enhanced online-characterization and shaping of ultrashort X-ray free-electron laser pulses arXiv e-prints. arXiv:2108.13979 (2021).
- The Problem with Real-World Novelty Detection -- Issues in Multivariate Probabilistic Models In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 204–209. IEEE (2021). https://doi.org/10.1109/acsos-c52956.2021.00055.
- Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD): Applied Data Science Track. bll 118–134. Springer (2021). https://doi.org/10.1007/978-3-030-86514-6_8.
- Stream-Based Active Learning for Sliding Windows Under Verification Latency Machine Learning. (2021). https://doi.org/10.1007/s10994-021-06099-z.
- Statistical Analysis of Pairwise Connectivity In: International Conference on Discovery Science (DS). bll 138–148. Springer (2021). https://doi.org/10.1007/978-3-030-88942-5_11.
- Smart Infrastructure: A Research Junction In: IEEE International Smart Cities Conference (ISC2). IEEE (2021). https://doi.org/10.1109/isc253183.2021.9562809.
- Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks In: International Conference on Pattern Recognition (ICPR). bll 9172–9179. IEEE (2021). https://doi.org/10.1109/icpr48806.2021.9412616.
- Self-improving system integration: Mastering continuous change Future Generation Computer Systems. 117, 29–46 (2021). https://doi.org/10.1016/j.future.2020.11.019.
- scikit-activeml: A Library and Toolbox for Active Learning Algorithms Preprints. 2021030194 (2021).
- Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning -- A Case Study: Overtaking Cyclists In: Workshop From Benchmarking Behavior Prediction to Socially Compatible Behavior Generation in Autonomous Driving, IV (2021).
- Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks In: Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll 57–71. Springer (2021). https://doi.org/10.1007/978-3-030-68763-2_5.
- Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders In: Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD), CVPR. bll 1–10 (2021).
- OHODIN -- Online Anomaly Detection for Data Streams In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 193–197. IEEE (2021). https://doi.org/10.1109/acsos-c52956.2021.00046.
- Object Detection For Automotive Radar Point Clouds -- A Comparison AI Perspectives. 3, 6 (2021). https://doi.org/10.1186/s42467-021-00012-z.
- Novelty detection in continuously changing environments Future Generation Computer Systems. 114, 138–154 (2021). https://doi.org/10.1016/j.future.2020.07.037.
- Novelty based Driver Identification on RR Intervals from ECG Data In: Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll 407–421. IEEE, Milan, Italy (2021). https://doi.org/10.1007/978-3-030-68799-1_29.
- Multi-annotator Probabilistic Active Learning In: International Conference on Pattern Recognition (ICPR). bll 10281–10288. IEEE (2021). https://doi.org/10.1109/icpr48806.2021.9412298.
- Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning In: International Conference on Pattern Recognition (ICPR). bll 9483–9490. IEEE (2021). https://doi.org/10.1109/icpr48806.2021.9411918.
- Intelligent and Interactive Video Annotation for Instance Segmentation using Siamese Neural Networks In: Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll 375–389. IEEE, Milan, Italy (2021). https://doi.org/10.1007/978-3-030-68799-1_27.
- Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution In: International Conference on Pattern Recognition (ICPR). bll 2620–2626. IEEE (2021). https://doi.org/10.1109/icpr48806.2021.9413233.
- Emerging Relation Network and Task Embedding for Multi-Task Regression Problems In: International Conference on Pattern Recognition (ICPR). bll 2663–2670. IEEE (2021). https://doi.org/10.1109/icpr48806.2021.9412476.
- Digital Shadows in Self-Improving System Integration: A Concept Using Generative Modelling In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 166–171. IEEE (2021). https://doi.org/10.1109/acsos-c52956.2021.00047.
- Description of Corner Cases in Automated Driving: Goals and Challenges In: Embedded and Real-World Computer Vision in Autonomous Driving (ERCVAD), ICCV. bll 1023–1028,. IEEE (2021). https://doi.org/10.1109/iccvw54120.2021.00119.
- Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information In: IEEE International Smart Cities Conference (ISC2). bll 1–7. IEEE (2021). https://doi.org/10.1109/isc253183.2021.9562857.
- Cyclist Motion State Forecasting -- Going beyond Detection In: IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, Orlando, FL, USA (2021).
- Cooperative intention detection using machine learning. Advanced cyclist protection in the context of automated driving, (2021). https://doi.org/10.17170/kobra-202101263056.
- CLeaR: An adaptive continual learning framework for regression tasks AI Perspectives. 3, 2 (2020). https://doi.org/10.1186/s42467-021-00009-8.
- Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders In: IEEE International Conference on Cyber Security and Resilience (CSR). bll 1–7. IEEE (2021). https://doi.org/10.1109/csr51186.2021.9527980.
- An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving In: IEEE Intelligent Vehicles Symposium (IV). bll 644–651. IEEE, Nagoya, Japan (2021). https://doi.org/10.1109/iv48863.2021.9575933.
- AI - Based On The Fly Design of Experiments in Physics and Engineering In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 150–153. IEEE (2021). https://doi.org/10.1109/ACSOS-C52956.2021.00048.
- AdaPT: Adaptable particle tracking for spherical microparticles in lab on chip systems Computer Physics Communications. 262, 107859 (2021). https://doi.org/10.1016/j.cpc.2021.107859.
- About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving In: Embedded and Real-World Computer Vision in Autonomous Driving (ERCVAD), ICCV. bll 979–987. IEEE (2021). https://doi.org/10.1109/ICCVW54120.2021.00114.
- A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification IEEE Access. 9, 166970–166989 (2021). https://doi.org/10.1109/ACCESS.2021.3135514.
- A Note on the Modeling Power of Different Graph Types arXiv e-prints. arXiv:2109.10708 (2021).
- A Holistic, Decision-Theoretic Framework for Pool-Based Active Learning, (2021). https://doi.org/10.17170/kobra-202109244802.
- A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving In: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD (2021).
2020[ to top ]
- Toward Optimal Probabilistic Active Learning Using a Bayesian Approach arXiv e-prints. arXiv:2006.01732 (2020).
- Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE (2020). https://doi.org/10.1109/cvpr42600.2020.00214.
- Representation Learning in Power Time Series Forecasting In: Pedrycz, W. en Chen, S.-M. (reds) Deep Learning: Algorithms and Applications. bll 67–101. Springer (2020). https://doi.org/10.1007/978-3-030-31760-7_3.
- Reconstruction of offsets of an electron gun using deep learning and an optimization algorithm In: Advances in Computational Methods for X-Ray Optics V. bll 71–77. SPIE (2020). https://doi.org/10.1117/12.2568001.
- Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets arXiv e-prints. arXiv:2010.05898 (2020).
- Probabilistic upscaling and aggregation of wind power forecasts Energy, Sustainability and Society. 10, 15 (2020). https://doi.org/10.1186/s13705-020-00247-4.
- Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks In: IEEE Symposium Series on Computational Intelligence (SSCI). bll 2723–2730. IEEE (2020). https://doi.org/10.1109/ssci47803.2020.9308462.
- Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? In: IEEE International Conference on Information Fusion (FUSION). bll 1–8. IEEE (2020). https://doi.org/10.23919/fusion45008.2020.9190338.
- Normal-Wishart clustering for novelty detection In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 64–69. IEEE (2020). https://doi.org/10.1109/acsos-c51401.2020.00032.
- Knowledge Representations in Technical Systems -- A Taxonomy arXiv e-prints. arXiv:2001.04835 (2020).
- Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning arXiv e-prints. arXiv:2002.02705 (2020).
- Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning In: International Joint Conference on Neural Networks (IJCNN). IEEE (2020). https://doi.org/10.1109/ijcnn48605.2020.9206873.
- Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks In: International Joint Conference on Neural Networks (IJCNN). IEEE (2020). https://doi.org/10.1109/ijcnn48605.2020.9207536.
- Fairness, performance, and robustness: is there a cap theorem for self-adaptive and self-organising systems? In: Workshop on Self-Improving System Integration (SISSY), ACSOS. bll 54–59. IEEE (2020). https://doi.org/10.1109/acsos-c51401.2020.00029.
- Extended Coopetitive Soft Gating Ensemble arXiv e-prints. arXiv:2004.14026 (2020).
- Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary arXiv e-prints. arXiv:2009.13853 (2020).
- Continuous Learning of Deep Neural Networks to Improve Forecasts for Regional Energy Markets In: International Federation of Automatic Control (IFAC) World Congress. bll 12175–12182. Elsevier (2020). https://doi.org/10.1016/j.ifacol.2020.12.1017.
- Active Learning with Uncertain Annotators, (2020). https://doi.org/10.17170/kobra-202009171814.
- A swarm-fleet infrastructure as a scenario for proactive, hybrid adaptation of system behaviour In: Workshop on Self -Aware Computing (SeAC), ACSOS. bll 166–169. IEEE (2020). https://doi.org/10.1109/acsos-c51401.2020.00050.
2019[ to top ]
- Wind Power Forecasting Based on Deep Neural Networks and Transfer Learning In: Wind Integration Workshop. , Dublin, Ireland (2019).
- Wind Power Forecasting Based on Deep Neural Networks and Transfer Learning In: Wind Integration Workshop. , Dublin, Ireland (2019).
- Wind Power Ensemble Forecasting, (2019). https://doi.org/10.17170/kobra-202008181589.
- Using grid supporting flexibility in electricity distribution networks In: INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft. bll 531–544. Gesellschaft für Informatik e.V., Bonn (2019). https://doi.org/10.18420/inf2019_70.
- Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers Remote Sensing. 11, 2788 (2019). https://doi.org/10.3390/rs11232788.
- Transfer Learning is a Crucial Capability of Intelligent Systems Self-Integrating at Runtime In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 32–35. IEEE (2019). https://doi.org/10.1109/FAS-W.2019.00021.
- Transfer Learning in the Field of Renewable Energies -- A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2018. bll 75–87. kassel university press, Kassel, Germany (2019).
- Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks In: IEEE Intelligent Vehicles Symposium (IV). bll 810–815. IEEE (2019). https://doi.org/10.1109/IVS.2019.8814258.
- Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks In: IEEE Intelligent Vehicles Symposium (IV). bll 810–815. IEEE (2019). https://doi.org/10.1109/IVS.2019.8814258.
- Towards Corner Case Identification in Cyclists’ Trajectories In: ACM Computer Science in Cars Symposium (CSCS). ACM (2019).
- The Organic Computing Doctoral Dissertation Colloquium: Status and Overview in 2019 In: INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft (Workshop-Beiträge). bll 545–554. Gesellschaft für Informatik e.V., Bonn (2019). https://doi.org/10.18420/inf2019_ws57.
- Smart Device Based Initial Movement Detection of Cyclists Using Convolutional Neural Networks In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2018. bll 45–60. kassel university press, Kassel, Germany (2019).
- Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles In: IEEE Intelligent Vehicles Symposium (IV). bll 642–649. IEEE, Paris, France (2019). https://doi.org/10.1109/ivs.2019.8813773.
- Pose Based Trajectory Forecast of Vulnerable Road Users In: IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, Xiamen (2019). https://doi.org/10.1109/ssci44817.2019.9003023.
- Pose Based Start Intention Detection of Cyclists In: IEEE International Conference on Intelligent Transportation Systems (ITSC). bll 2381–2386. IEEE (2019). https://doi.org/10.1109/ITSC.2019.8917215.
- Organic Computing -- Doctoral Dissertation Colloquium 2018 kassel university press (2019). https://doi.org/10.19211/KUP9783737606974.
- On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes arXiv e-prints. arXiv:1905.04205 (2019).
- On Learning in Collective Self-Adaptive Systems: State of Practice and a 3D Framework In: International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). bll 13–24. IEEE/ACM (2019). https://doi.org/10.1109/SEAMS.2019.00012.
- Off-Board Car Diagnostics Based on Heterogeneous, Highly Imbalanced and High-Dimensional Data Using Machine Learning Techniques, (2019). https://doi.org/10.17170/kobra-202008141582.
- Mutual Influence-aware Runtime Learning of Self-adaptation Behavior ACM Transactions on Autonomous and Adaptive Systems. 14, 4 (2019). https://doi.org/10.1145/3345319.
- Multi-objective Optimisation in Hybrid Collaborating Adaptive Systems In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE (2019).
- Limitations of Assessing Active Learning Performance at Runtime arXiv e-prints. arXiv:1901.10338 (2019).
- Intentions of Vulnerable Road Users -- Detection and Forecasting by Means of Machine Learning IEEE Transactions on Intelligent Transportation Systems. 21, 3035–3045 (2019). https://doi.org/10.1109/TITS.2019.2923319.
- INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft (Workshop-Beitr{{ä}}ge) Gesellschaft für Informatik e.V. (2019).
- INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft (Workshop-Beitr{{ä}}ge) Gesellschaft für Informatik e.V. (2019).
- Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic In: International Conference on Artificial Neural Networks and Machine Learning (ICANN): Image Processing. bll 550–564. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30508-6_44.
- From "Normal" to "Abnormal": A Concept for Determining Expected Self-Adaptation Behaviour In: IEEE International Workshop on Evaluations and Measurements in Self-Aware Computing Systems (EMSAC-SeAC), FAS*W. bll 126–129. IEEE (2019). https://doi.org/10.1109/fas-w.2019.00041.
- Explicit Consideration of Resilience in Organic Computing Design Processes In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–6. VDE (2019).
- Emerging Self-Integration through Coordination of Autonomous Adaptive Systems In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 6–9. IEEE (2019). https://doi.org/10.1109/FAS-W.2019.00016.
- Emerging Self-Integration through Coordination of Autonomous Adaptive Systems In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 6–9. IEEE (2019). https://doi.org/10.1109/FAS-W.2019.00016.
- Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition In: INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft (Workshop-Beiträge). bll 229–238. Gesellschaft für Informatik e.V., Bonn (2019). https://doi.org/10.18420/inf2019_ws26.
- Decision Support with Hybrid Intelligence In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2018. bll 143–153. kassel university press, Kassel, Germany (2019).
- Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality In: International Joint Conference on Neural Networks (IJCNN). bll 1–8. IEEE (2019). https://doi.org/10.1109/IJCNN.2019.8852456.
- Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields arXiv e-prints. arXiv:1905.07264 (2019).
- CHARIOT -- Towards a Continuous High-Level Adaptive Runtime Integration Testbed In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 52–55. IEEE (2019). https://doi.org/10.1109/FAS-W.2019.00026.
- Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS In: IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM). bll 5–9. IEEE (2019). https://doi.org/10.1109/ICMIM.2019.8726801.
- Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices In: International Radar Symposium (IRS). bll 1–10. , Ulm, Germany (2019). https://doi.org/10.23919/irs.2019.8768169.
- A Multi-Stage Clustering Framework for Automotive Radar Data In: IEEE International Conference on Intelligent Transportation Systems (ITSC). bll 2060–2067. IEEE (2019). https://doi.org/10.1109/itsc.2019.8916873.
2018[ to top ]
- Workshop on Interactive Adaptive Learning (IAL), ECML PKDD (2018).
- Towards Proactive Health-enabling Living Environments: Simulation-based Study and Research Challenges In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE (2018).
- Towards Proactive Health-enabling Living Environments: Simulation-based Study and Research Challenges In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE (2018).
- Towards Cooperative Self-adapting Activity Recognition In: International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS). bll 215–222 (2018). https://doi.org/10.5220/0006856102150222.
- The Other Human in The Loop -- A Pilot Study to Find Selection Strategies for Active Learning In: International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018). https://doi.org/10.1109/ijcnn.2018.8489637.
- Starting Movement Detection of Cyclists Using Smart Devices In: IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE, Turin, Italy (2018). https://doi.org/10.1109/dsaa.2018.00042.
- Smart Device Stealing and CANDIES In: International Conference on Agents and Artificial Intelligence (ICAART). bll 247–273. Springer (2018). https://doi.org/10.1007/978-3-030-05453-3_12.
- Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data Information Sciences. 456, 13–33 (2018). https://doi.org/10.1016/j.ins.2018.04.063.
- Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models Informatics. 5, 38 (2018). https://doi.org/10.3390/informatics5030038.
- Security Issues in Self-Improving System Integration - Challenges and Solution Strategies In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 176–181. IEEE (2018). https://doi.org/10.1109/fas-w.2018.00044.
- Sampling Strategies for Representative Time Series in Load Flow Calculations In: Workshop on Data Analytics for Renewable Energy Integration (DARE), ECML PKDD. bll 27–48. Springer (2018). https://doi.org/10.1007/978-3-030-04303-2_3.
- Sampling Strategies for Representative Time Series in Load Flow Calculations In: Workshop on Data Analytics for Renewable Energy Integration (DARE), ECML PKDD. bll 27–48. Springer (2018). https://doi.org/10.1007/978-3-030-04303-2_3.
- Radar-based Feature Design and Multiclass Classification for Road User Recognition In: IEEE Intelligent Vehicles Symposium (IV). bll 779–786. IEEE, Changshu, China (2018). https://doi.org/10.1109/ivs.2018.8500607.
- Quantifying the Influences on Probabilistic Wind Power Forecasts In: International Conference on Power and Renewable Energy (ICPRE). bll 1–6 (2018). https://doi.org/10.1051/e3sconf/20186406002.
- Organic Computing -- Doctoral Dissertation Colloquium 2017 kassel university press (2018). https://doi.org/10.19211/KUP9783737605151.
- Novelty detection with CANDIES: a holistic technique based on probabilistic models International Journal of Machine Learning and Cybernetics. 9, 927–945 (2018). https://doi.org/10.1007/s13042-016-0618-8.
- Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration In: Hawaii International Conference on System Sciences (HICSS) (2018). https://doi.org/10.24251/hicss.2018.120.
- Human Pose Estimation in Real Traffic Scenes In: IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, Bangalore, India (2018). https://doi.org/10.1109/ssci.2018.8628660.
- Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques Applied Soft Computing. 70, 195–207 (2018). https://doi.org/10.1016/j.asoc.2018.05.007.
- Hijacked Smart Devices -- Methodical Foundations for Autonomous Theft Awareness based on Activity Recognition and Novelty Detection In: International Conference on Agents and Artificial Intelligence (ICAART) (2018). https://doi.org/10.5220/0006594901310142.
- Gestaltungsraum für proactive Smart Homes zur Gesundheitsförderung In: Multikonferenz Wirtschaftsinformatik. , Lüneburg, Germany (2018).
- Generalizing Application Agnostic Remaining Useful Life Estimation Using Data-Driven Open Source Algorithms In: IEEE International Conference on Big Data Analysis (ICBDA). IEEE, Shanghai, China (2018). https://doi.org/10.1109/icbda.2018.8367659.
- Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network In: IEEE Intelligent Vehicles Symposium (IV). bll 1–6. IEEE (2018). https://doi.org/10.1109/ivs.2018.8500428.
- Coopetitive Soft Gating Ensemble In: Workshop on Self-Improving System Integration (SISSY), FAS*W. IEEE, Trento, Italy (2018). https://doi.org/10.1109/fas-w.2018.00046.
- Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure In: IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE, Maui, HI (2018). https://doi.org/10.1109/itsc.2018.8569267.
- Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble IEEE Transactions on Intelligent Vehicles. 3, 534–544 (2018). https://doi.org/10.1109/tiv.2018.2873900.
- Comparing the Effects of Disturbances in Self-adaptive Systems - A Generalised Approach for the Quantification of Robustness Transactions on Computational Collective Intelligence. 28, 193–220 (2018). https://doi.org/10.1007/978-3-319-78301-7_9.
- Collaborative Interactive Learning Informatik Spektrum. 41, 52–55 (2018). https://doi.org/10.1007/s00287-017-1082-x.
- Automated Active Learning with a Robot Archives of Data Science, Series A (Online First). 5, 16 (2018). https://doi.org/10.5445/KSP/1000087327/16.
- Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 198–203. IEEE (2018). https://doi.org/10.1109/fas-w.2018.00047.
- Active Sorting -- An Efficient Training of a Sorting Robot with Active Learning Techniques In: International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018). https://doi.org/10.1109/ijcnn.2018.8489161.
- Active Learning with Realistic Data -- A Case Study In: International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil (2018). https://doi.org/10.1109/ijcnn.2018.8489394.
- A review of uncertainty representations and metaverification of uncertainty assessment techniques for renewable energies Renewable and Sustainable Energy Reviews. 96, 352–379 (2018). https://doi.org/10.1016/j.rser.2018.07.042.
- A Multi-Scheme Ensemble Using Coopetitive Soft-Gating With Application to Power Forecasting for Renewable Energy Generation arXiv e-prints. arXiv:1803.06344 (2018).
- A Concept for Productivity Tracking based on Collaborative Interactive Learning Techniques In: Workshop on Self-Optimisation in Autonomic and Organic Computing Systems (SAOS), ARCS. bll 150–159. VDE, London, UK (2018).
2017[ to top ]
- Where is my Device? Detecting the Smart Device’s Wearing Position in the Context of Active Safety for Vulnerable Road Users In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2017. bll 27–37. kassel university press, Kassel, Germany (2017).
- Socially-Sensitive Systems Design: Exploring Social Potential IEEE Technology and Society Magazine. 36, 72–80 (2017). https://doi.org/10.1109/mts.2017.2728727.
- Simulation of Annotators for Active Learning: Uncertain Oracles In: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. bll 49–58 (2017).
- Self-Learning Smart Cameras -- Harnessing the Generalisation Capability of XCS In: International Joint Conference on Computational Intelligence (IJCCI). , Funchal, Portugal (2017). https://doi.org/10.5220/0006512101290140.
- Self-Adaptation of Activity Recognition Systems to New Sensors arXiv e-prints. arXiv:1701.08528 (2017).
- Quantitative Robustness -- A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems In: International Conference on Agents and Artificial Intelligence (ICAART). bll 39–50. , Porto, Portugal (2017). https://doi.org/10.5220/0006137300390050.
- Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating In: IEEE Symposium Series on Computational Intelligence (SSCI). bll 1–10. IEEE (2017). https://doi.org/10.1109/SSCI.2017.8285344.
- Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria Pattern Analysis and Applications. 21, 543–562 (2017). https://doi.org/10.1007/s10044-017-0657-0.
- Organic Computing in the Spotlight arXiv e-prints. arXiv:1701.08125 (2017).
- Organic Computing -- Techncial Systems for Survival in the Real World Birkhäuser Verlag (2017). https://doi.org/10.1007/978-3-319-68477-2.
- Organic Computing -- Doctoral Dissertation Colloquium 2016 kassel university press (2017). https://doi.org/10.19211/KUP9783737603010.
- On Methodological and Technological Challenges for Proactive Health Management in Smart Homes In: International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH). bll 209–212. , Athens, Greece (2017).
- Measuring Self Organisation at Runtime -- A Quantification Method based on Divergence Measures In: International Conference on Agents and Artificial Intelligence (ICAART). bll 96–106. , Porto, Portugal (2017). https://doi.org/10.5220/0006240400960106.
- Learning Without Ground Truth In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2017. kassel university press, Bochum, Germany (2017).
- Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms In: Workshop on Self-Improving System Integration (SISSY), FAS*W. bll 109–116. IEEE, Tucson, AZ (2017). https://doi.org/10.1109/fas-w.2017.129.
- Interpolation in the eXtended Classifier System: An Architectural Perspective Journal of Systems Architecture. 75, 79–94 (2017). https://doi.org/10.1016/j.sysarc.2017.01.010.
- Interactive Learning Without Ground Truth In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2017. bll 1–4. kassel university press, Kassel, Germany (2017).
- Identifying Representative Load Time Series for Load Flow Calculations In: Workshop on Data Analytics for Renewable Energy Integration (DARE), ECML PKDD. bll 83–93. Springer, Cham, Switzerland (2017). https://doi.org/10.1007/978-3-319-71643-5_8.
- Identification and Classification of Agent Behaviour at Runtime in Open, Trust-based Organic Computing Systems Journal of Systems Architecture. 75, 68–78 (2017). https://doi.org/10.1016/j.sysarc.2017.02.003.
- Highly Autonomous Learning in Collaborative, Technical Systems In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2017. kassel university press, Kassel, Germany (2017).
- Highly Automated Learning for Improved Active Safety of Vulnerable Road Users In: ACM Computer Science in Cars Symposium (CSCS). ACM, Munich, Germany (2017).
- Enhanced Probabilistic Active Learning: Cost-sensitive, Unbalanced, Time-variant, Self-optimising, and Parameter-free In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2017. bll 67–78. kassel university press, Kassel, Germany (2017).
- Development of an Offshore Specific Wind Power Forecasting System, (2017).
- Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence In: Automatisiertes und vernetztes Fahren Symposium (AAET). bll 67–87. , Braunschweig, Germany (2017).
- Dealing with class imbalance the scalable way: Evaluation of various techniques based on classification grade and computational complexity In: Workshop on Data Science and Big Data Analytics (DSBDA), ICDM. bll 69–78. IEEE (2017). https://doi.org/10.1109/icdmw.2017.16.
- Cooperative Starting Intention Detection of Cyclists Based on Smart Devices and Infrastructure In: IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE, Yokohama, Japan (2017). https://doi.org/10.1109/itsc.2017.8317691.
- Challenges of Reliable, Realistic and Comparable Active Learning Evaluation In: Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. bll 2–14 (2017).
- Case Study on Pool-based Active Learning with Human Oracles In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2017. bll 39–49. kassel university press, Kassel, Germany (2017).
- A Concept for Intelligent Collaborative Network Intrusion Detection In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. VDE (2017).
2016[ to top ]
- Trajectory Prediction of Cyclists Using a Physical Model and an Artificial Neural Network In: IEEE Intelligent Vehicles Symposium (IV). bll 833–838. IEEE, Gothenburg, Sweden (2016). https://doi.org/10.1109/ivs.2016.7535484.
- Towards Self-Improving Activity Recognition Systems based on Probabilistic, Generative Models In: Workshop on Self-Improving System Integration (SISSY), ICAC. bll 285–291. IEEE, Würzburg, Germany (2016). https://doi.org/10.1109/icac.2016.22.
- Towards Autonomous Self-tests at Runtime In: IEEE International Workshop on Quality Assurance for Self-Adaptive, Self-Organising Systems (QA4SASO), FAS*W. bll 98–99. IEEE (2016). https://doi.org/10.1109/fas-w.2016.32.
- Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers Information Sciences. 370--371, 476–496 (2016). https://doi.org/10.1016/j.ins.2016.08.016.
- Socially-Sensitive Systems Design , Dagstuhl, Germany (2016).
- Socially-Sensitive Systems Design , Dagstuhl, Germany (2016).
- Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data arXiv e-prints. arXiv:1610.03995 (2016).
- Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data In: International Joint Conference on Neural Networks (IJCNN). bll 4040–4047. IEEE, Vancouver, BC (2016). https://doi.org/10.1109/ijcnn.2016.7727725.
- Probabilistic Obsoleteness Detection for Gaussian Mixture Models In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2016. bll 45–56. kassel university press, Kassel, Germany (2016).
- Probabilistic Active Learning for Active Class Selection In: Workshop on the Future of Interactive Learning Machines, NIPS. bll 1–9. , Barcelona, Spain (2016).
- Pals: Interactive Pool-based Active Learning System with Uncertain Oracles In: Sick, B. en Tomforde, S. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2016. bll 35–44. kassel university press, Kassel, Germany (2016).
- Multi-k-Resilience in Distributed Adaptive Cyber-Physical Systems In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE, Nuremberg, Germany (2016).
- Multi-k-Resilience in Distributed Adaptive Cyber-Physical Systems In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE, Nuremberg, Germany (2016).
- Measuring Self-Organisation Processes in Smart Camera Networks In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–6. VDE, Nuremberg, Germany (2016).
- Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments -- Opportunistic Collaborative Interactive Learning In: Workshop on Self-Improving System Integration (SISSY), ICAC. bll 1–10. IEEE, Würzburg, Germany (2016). https://doi.org/10.1109/icac.2016.36.
- Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning In: Workshop on Active Learning: Applications, Foundations and Emerging Trends, iKnow. bll 25–34. , Graz, Austria (2016).
- Interpolation-based Classifier Generation in XCSF In: IEEE Congress on Evolutionary Computation (CEC). bll 3990–3998. IEEE, Vancouver, BC (2016). https://doi.org/10.1109/cec.2016.7744296.
- Goal-oriented Holonics for Complex System (Self-)Integration: Concepts and Case Studies In: IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). bll 100–109. IEEE, Augsburg, Germany (2016). https://doi.org/10.1109/saso.2016.16.
- Generative Exponential Smoothing and Generative ARMA Models to Forecast Time-Variant Rates or Probabilities In: International Work-Conference on Time Series (ITISE): Selected Contributions. bll 75–88. Springer, Cham, Switzerland (2016). https://doi.org/10.1007/978-3-319-28725-6_6.
- From Active Learning to Dedicated Collaborative Interactive Learning In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE, Nuremberg, Germany (2016).
- Forecasting Wind Power -- An Ensemble Technique With Gradual Coopetitive Weighting Based on Weather Situation In: International Joint Conference on Neural Networks (IJCNN). bll 4976–4984. IEEE, Vancouver, BC (2016). https://doi.org/10.1109/ijcnn.2016.7727855.
- Exploit the Potential of the Group: Putting Humans in the Dedicated Collaborative Interactive Learning Loop In: Sick, B. en Tomforde, S. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2016. kassel university press, Kassel, Germany (2016).
- Distributed Resource Allocation as Co-Evolution Problem In: IEEE Congress on Evolutionary Computation (CEC). bll 1815–1822. IEEE, Vancouver, BC, Canada (2016). https://doi.org/10.1109/cec.2016.7744009.
- Deep Learning for Solar Power Forecasting -- An Approach using Autoencoder and LSTM Neural Networks In: IEEE International Conference on Systems, Man and Cybernetics (SMC). bll 2858–2865. IEEE, Budapest, Hungary (2016). https://doi.org/10.1109/smc.2016.7844673.
- Decentralised Trust-Management Inspired by Ant Pheromones International Journal of Mobile Network Design and Innovation. 7, 46–55 (2016). https://doi.org/10.1504/ijmndi.2017.082804.
- Dealing with Unforeseen Situations in the Context of Self-Adaptive Urban Traffic Control: How to Bridge the Gap In: IEEE International Conference on Autonomic Computing (ICAC). bll 167–172. IEEE, Würzburg, Germany (2016). https://doi.org/10.1109/icac.2016.20.
- Coverage-guided Intelligent Test Loop -- A Concept for Applying Instrumented Testing to Self-organising Systems In: International Conference on Informatics in Control, Automation and Robotics (ICINCO). bll 221–226. , Lisbon, Portugal (2016). https://doi.org/10.5220/0005992702210226.
- Correlation of Ontology-Based Semantic Similarity and Human Judgement for a Domain Specific Fashion Ontology In: International Conference on Web Engineering (ICWE). bll 207–224. Springer (2016). https://doi.org/10.1007/978-3-319-38791-8_12.
- Coping with variability in motion based activity recognition In: International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR). bll 1–8. , Rostock, Germany (2016). https://doi.org/10.1145/2948963.2948967.
- Controlling Negative Emergent Behavior by Graph Analysis at Runtime ACM Transactions on Autonomous and Adaptive Systems. 11, 7 (2016). https://doi.org/10.1145/2890507.
- Combining Trust and ETX to Provide Robust Wireless Sensor Networks In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–7. VDE, Nuremberg, Germany (2016).
- Combinations of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM In: International Joint Conference on Neural Networks (IJCNN). bll 2164–2173. IEEE, Vancouver, BC (2016). https://doi.org/10.1109/ijcnn.2016.7727467.
- Cellular Traffic Offloading through Network-Assisted Ad-Hoc Routing in Cellular Networks In: IEEE Symposium on Computers and Communications (ISCC). bll 469–476. IEEE, Messina, Italy (2016). https://doi.org/10.1109/iscc.2016.7543783.
- Augmenting the Algorithmic Structure of XCS by Means of Interpolation In: International Conference on Architecture of Computing Systems (ARCS). bll 348–360. Springer, Nuremberg, Germany (2016). https://doi.org/10.1007/978-3-319-30695-7_26.
- Any Problems? A wearable sensor-based platform for representational learning-analytics In: ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp). bll 353–356. ACM, Heidelberg, Germany (2016). https://doi.org/10.1145/2968219.2971383.
- An Organic Computing Perspective on Self-Improving System Interwearing at Runtime In: Workshop on Self-Improving System Integration (SISSY), ICAC. bll 276–284. IEEE, Würzburg, Germany (2016). https://doi.org/10.1109/icac.2016.15.
- An Organic Computing Approach to Self-organising Robot Ensembles Frontiers in Robotics and AI. 3, 67 (2016). https://doi.org/10.3389/frobt.2016.00067.
- An Evaluation of Two Trust-based Autonomic/Organic Grid Computing Systems for Volunteer-Based Distributed Rendering In: IEEE International Conference on Autonomic Computing (ICAC). bll 137–146. IEEE, Würzburg, Germany (2016). https://doi.org/10.1109/icac.2016.55.
- An Analog Ensemble-Based Similarity Search Technique for Solar Power Forecasting In: IEEE International Conference on Systems, Man and Cybernetics (SMC). bll 2850–2857. IEEE (2016). https://doi.org/10.1109/SMC.2016.7844672.
- Active Learning: Applications, Foundations and Emerging Trends, iKNOW , Graz, Austria (2016).
- A Review of Deterministic Error Scores and Normalization Techniques for Power Forecasting Algorithms In: IEEE Symposium Series on Computational Intelligence (SSCI). bll 1–9. IEEE, Athens, Greece (2016). https://doi.org/10.1109/ssci.2016.7849848.
- "Know thyselves" -- Computational Self-Reflection in Collective Technical Systems In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE, Nuremberg, Germany (2016).
2015[ to top ]
- Transductive active learning -- A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data Information Sciences. 293, 275–298 (2015). https://doi.org/10.1016/j.ins.2014.09.009.
- Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptions In: SAI Intelligent Systems Conference (IntelliSys). bll 259–279. Springer, Cham, Switzerland (2015). https://doi.org/10.1007/978-3-319-33386-1_13.
- The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for Classification Information Sciences. 323, 179–198 (2015). https://doi.org/10.1016/j.ins.2015.06.027.
- Self-adapting Multi-Sensor System Using Classifiers Based on Gaussian Mixture Models In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll 109–120. kassel university press, Kassel, Germany (2015).
- Runtime Self-Integration as Key Challenge for Mastering Interwoven Systems In: International Conference on Architecture of Computing Systems (ARCS). bll 1–8. VDE, Porto, Portugal (2015).
- Organic Computing -- Doctoral Dissertation Colloquium 2015 kassel university press (2015). https://doi.org/10.19211/KUP9783737600293.
- On the Application Possibilities of Organic Computing Principles in Socio-technical Systems In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll 165–170. kassel university press, Kassel, Germany (2015).
- Klassifikation von Niederspannungsnetzen mit Support Vector Machines: Bewertung des Aufnahmevermögens für Dezentrale Erzeugungsanlagen, (2015).
- Horizontal Integration of Organic Computing and Control Theory Concepts In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll 157–164. kassel university press, Kassel, Germany (2015).
- Generative Exponential Smoothing Models for Rate Forecasting with Uncertainty Estimation In: International Work-Conference on Time Series (ITISE). bll 806–817. , Granada, Spain (2015).
- Fast Feature Extraction for Time Series Analysis Using Least-squares Approximations with Orthogonal Basis Functions In: International Symposium on Temporal Representation and Reasoning (TIME). bll 29–37. IEEE, Kassel, Germany (2015). https://doi.org/10.1109/time.2015.21.
- Effiziente Bewertung des Anschlu\ss{}potentials von Niederspannungsnetzen für dezentrale Erzeugungsanlagen: Klassifikation mit Methoden der Computational Intelligence In: Tagung Nachhaltige Energieversorgung und Integration von Speichern (NEIS). bll 51–56. , Hamburg, Germany (2015). https://doi.org/10.1007/978-3-658-10958-5_8.
- Car Drive Classification and Context Recognition for Personalized Entertainment Preference Learning International Journal on Advances in Software. 8, 53–64 (2015).
- Capacity of Low-Voltage Grids for Distributed Generation: Classification by Means of Stochastic Simulations IEEE Transactions on Power Systems. 30, 689–700 (2015). https://doi.org/10.1109/tpwrs.2014.2332361.
- Camera Based Pedestrian Path Prediction by Means of Polynominal Least-squares Approximation and Multilayer Perceptron Neural Networks In: SAI Intelligent Systems Conference (IntelliSys). bll 390–399. Springer, London, UK (2015). https://doi.org/10.1109/IntelliSys.2015.7361171.
- Bewertung verschiedener Spannungsregelungskonzepte in einem einspeisegeprägten Mittelspannungsnetz und Ausblick auf neue Konzepte basierend auf Methoden der Computational Intelligence In: Tagung Nachhaltige Energieversorgung und Integration von Speichern (NEIS). bll 57–63. , Hamburg, Germany (2015). https://doi.org/10.1007/978-3-658-10958-5_9.
- Anomalies in Generative Trajectory Models -- Discovering Suspicious Traces with Novelty Detection Methods In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll 95–107. kassel university press, Kassel, Germany (2015).
- Analyse des Fahrerverhaltens zur Entwicklung von intelligenten Komfortfunktionen Elektronik automotive. 2, 32–36 (2015).
- An Online Influence Detection Algorithm for Organic Computing Systems In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE, Porto, Portugal (2015).
- Aktives Lernen für Klassifikationsprobleme unter der Nutzung von Strukturinformationen, (2015).
- Aktives Lernen für Klassifikationsprobleme unter der Nutzung von Strukturinformation In: Lecture Notes in Informatics: Ausgezeichnete Informatikdissertationen. bll 239–248 (2015).
- A Tool Chain for Context Detection Automating the Investigation of a Multitude of Parameter Sets In: International Workshop on Mobile and Context Aware Services (MOCS), VTC. bll 1–5. , Boston, MA (2015).
- A Tool Chain for Context Detection Automating the Investigation of a Multitude of Parameter Sets In: International Workshop on Mobile and Context Aware Services (MOCS), VTC. bll 1–5. , Boston, MA (2015).
- A New Vision of Collaborative Active Learning arXiv e-prints. arXiv:1504.00284 (2015).
- A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement In: IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). bll 144–149. IEEE, Cambridge, MA (2015). https://doi.org/10.1109/saso.2015.23.
- A Generalized Hebb (GH) rule based on a cross-entropy error function for deep belief recursive learning In: International Conference on Neural Networks - Fuzzy Systems (NN-FS). bll 21–24. , Vienna, Austria (2015).
- A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection In: IEEE International Conference on Awareness Science and Technology (iCAST). bll 194–200. IEEE, Qinhuangdao, China (2015). https://doi.org/10.1109/icawst.2015.7314046.
- 4DSPro: A New Selection Strategy for Pool-based Active Learning In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2015. bll 121–133. kassel university press, Kassel, Germany (2015).
2014[ to top ]
- Temporal data analytics based on eigenmotif and shape space representations of time series In: IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP). bll 753–757. IEEE, Xian, China (2014). https://doi.org/10.1109/chinasip.2014.6889345.
- SMART-iBrush -- Individuelle Unterstützung der Zahnreinigung durch Messung von Bewegung und Druck mit einer intelligenten Zahnbürste In: Transdisziplinäre Konferenz zum Thema "Technische Unterstützungssysteme, die die Menschen wirklich wollen". bll 315–327 (2014).
- SMART-iBrush -- Individuelle Unterstützung der Zahnreinigung durch Messung von Bewegung und Druck mit einer intelligenten Zahnbürste In: Transdisziplinäre Konferenz zum Thema "Technische Unterstützungssysteme, die die Menschen wirklich wollen". bll 315–327 (2014).
- Sicherheit eingebetteter Systeme auf Basis arithmetischer Codierungen, (2014).
- Self-Extending Training Sets: Using Ontologies to Improve Machine Learning Performance In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2014. bll 111–125. kassel university press, Kassel, Germany (2014).
- Self-Adapting Multi-sensor Systems: A Concept for Self-Improvement and Self-Healing Techniques In: Workshop on Self-Improving System Integration (SISSY), SASO. bll 128–136. IEEE, London, UK (2014). https://doi.org/10.1109/sasow.2014.22.
- Self-Adapting Generative Modeling Techniques -- A Basic Building Block for Many Organic Computing Techniques In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2014. bll 99–109. kassel university press, Kassel, Germany (2014).
- Resp-kNN: A Semi-Supervised kNN-Classifier for Sparsely Labeled Data in the Field of Organic Computing In: Tomforde, S. en Sick, B. (reds) Organic Computing -- Doctoral Dissertation Colloquium 2014. bll 85–97. kassel university press, Kassel, Germany (2014).
- Programmierkompetenz prüfen … am Beispiel der Vorlesung "Einführung in C" an der Universität Kassel In: Neues Handbuch Hochschullehre. bll 71–94. Raabe (2014).
- Pedestrian’s Trajectory Forecast in Public Traffic with Artificial Neural Networks In: International Conference on Pattern Recognition (ICPR). bll 4110–4115. IEEE, Stockholm, Sweden (2014). https://doi.org/10.1109/icpr.2014.704.
- Organic Computing -- Doctoral Dissertation Colloquium 2014 kassel university press (2014).
- On General Purpose Time Series Similarity Measures and Their Use as Kernel Functions in Support Vector Machines Information Sciences. 281, 478–495 (2014). https://doi.org/10.1016/j.ins.2014.05.025.
- Novel Criteria to Measure Performance of Time Series Segmentation Techniques In: Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML), LWA. bll 192–204. , Aachen, Germany (2014).
- Location based learning of user behavior for proactive recommender systems in car comfort functions In: INFORMATIK 2014. bll 2121–2132. Gesellschaft für Informatik e.V (2014).
- Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications IEEE Transactions on Knowledge and Data Engineering. 26, 652–666 (2014). https://doi.org/10.1109/tkde.2013.20.
- Interwoven Systems Informatik Spektrum. 37, 483–487 (2014). https://doi.org/10.1007/s00287-014-0827-z.
- Engineering and Mastering Interwoven Systems In: International Workshop on Self-optimisation in Organic and Autonomic Computing Systems (SAOS), ARCS. bll 1–8. VDE, L"ubeck, Germany (2014).
- Dealing with human variability in motion based, wearable activity recognition In: Symposium on Activity and Context Modeling and Recognition (ACOMORE), PerCom. bll 36–40. IEEE, Budapest, Hungary (2014). https://doi.org/10.1109/percomw.2014.6815161.
- Car Ride Classification for Drive Context Recognition In: International Conference on Mobile Services, Resources, and Users (MOBILITY) (2014).
- Analysis on termination of pedestrians’ gait at urban intersections In: IEEE International Conference on Intelligent Transportation Systems (ITSC). bll 1758–1763. IEEE, Qingdao, China (2014). https://doi.org/10.1109/itsc.2014.6957947.
- "Know thyself" -- Computational Self-Reflection in Intelligent Technical Systems In: Workshop on Self-Improving System Integration (SISSY), SASO. IEEE, Braunschweig, Germany (2014). https://doi.org/10.1109/SASOW.2014.25.
2013[ to top ]
- Self-Adaption of Multi-Sensor-Systems with Organic Computing Techniques In: Tomforde, S. (red) Organic Computing -- Doctoral Dissertation Colloquium 2013. bll 20–23. kassel university press, Augsburg, Germany (2013).
- Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS Information Sciences. 230, 106–131 (2013). https://doi.org/10.1016/j.ins.2012.11.015.
- Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers IEEE Transactions on Evolutionary Computation. 17, 46–63 (2013). https://doi.org/10.1109/tevc.2012.2185845.
- Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations In: International Workshop on Spatial and Spatio-Temporal Data Mining (SSTDM), ICDM. bll 1002–1011. IEEE, Dallas, TX (2013). https://doi.org/10.1109/icdmw.2013.90.
- Architecture of Computing Systems -- ARCS 2013 Springer, Heidelberg, Germany (2013). https://doi.org/10.1007/978-3-642-36424-2.
- Active Learning of Generative and Discriminative Classifiers for Organic Computing In: Tomforde, S. (red) Organic Computing -- Doctoral Dissertation Colloquium 2013. bll 27–30. kassel university press, Augsburg, Germany (2013).
2012[ to top ]
- Techniques for knowledge acquisition in dynamically changing environments ACM Transactions on Autonomous and Adaptive Systems. 7, 16 (2012). https://doi.org/10.1145/2168260.2168276.
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