Prof. Dr. rer. nat. Bernhard Sick
Fachgebietsleiter; Teamleiter: Collaborative Interactive Learning (CIL); Teamleiter: AI for Computationally Intelligent Systems (AI4CIS)
- Telefon
- +49 561 804-6020
- bsick[at]uni-kassel[dot]de
- Standort
- Wilhelmshöher Allee 73
34121 Kassel
- Raum
- WA-altes Gebäude (WA 73), ohne Raumangabe
Publikationen
- [ 2024 ]
- [ 2023 ]
- [ 2022 ]
- [ 2021 ]
- [ 2020 ]
- [ 2019 ]
- [ 2018 ]
- [ 2017 ]
- [ 2016 ]
- [ 2015 ]
- [ 2014 ]
- [ 2013 ]
- [ 2012 ]
- [ 2011 ]
- [ 2010 ]
- [ 2006 ]
2024[ to top ]
- Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. . In International Conference on Pattern Recognition (ICPR). 2024.
- The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification. . In Transactions on Machine Learning Research. 2024.
- Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. . In International Joint Conference on Neural Networks (IJCNN), bll 1–9. IEEE, 2024.
- PrOuD: Probabilistic Outlier Detection Solution for Time Series Analysis on Real-world Photovoltaic Inverters. . In Energies (MDPI), 17(1), bl 64. MDPI, 2024.
- Optical Detection of the Body Mass Index and Related Parameters Using Multiple Spatially Resolved Reflection Spectroscopy. . In International Conference on Bioinformatics and Computational Biology (ICBCB). IEEE, 2024.
- Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection. . In International Joint Conference on Neural Networks (IJCNN), bll 1–10. IEEE, 2024.
- Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network. . In arXiv e-prints, bl arXiv:2409.11862. 2024.
- LiST: An All-Linear-Layer Spatial-Temporal Feature Extractor with Uncertainty Estimation for RUL Prediction. . In IEEE Conference on Industrial Electronics and Applications(ICIEA). IEEE, 2024.
- From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. . In International Conference on Architecture of Computing Systems (ARCS), bll 82–96. Springer, 2024.
- Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification. . In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), bll 280–296. 2024.
- Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation. . In arXiv e-prints, bl arXiv:2404.11266. 2024.
- Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension. . In arXiv e-prints, bl arXiv:2405.0338. 2024.
- An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. . In International Conference on Architecture of Computing Systems (ARCS), bll 51–66. Springer, 2024.
- Adaptive Shapley: Using Explainable AI with Large Datasets to Quantify the Impact of Arbitrary Error Sources. . In International Conference on Big Data Analytics (ICBDA), bll 305–310. IEEE, 2024.
2023[ to top ]
- Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning. . In Workshop on Interactive Adapative Learning (IAL), ECML PKDD, bll 14–18. 2023.
- 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.
- Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis. . In arXiv e-prints, bl arXiv:2307.14294. 2023.
- Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. . In International Conference on Machine Learning and Applications (ICMLA), bll 1444–1450. IEEE, 2023.
- Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. . In Workshop on Interactive Adapative Learning (IAL), ECML PKDD, bll 65–73. 2023.
- The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. . In IEEE Intelligent Vehicles Symposium (IV), bll 1–7. IEEE, 2023.
- Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction. . In Computational Science and Computational Intelligence (CSCI), bll 99–105. IEEE, 2023.
- Sensor Equivariance by LiDAR Projection Images. . In IEEE Intelligent Vehicles Symposium (IV), bll 1–6. IEEE, 2023.
- Self-Integration and Agent Compatibility. . In Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), bll 71–73. IEEE, 2023.
- Sampling-based Uncertainty Estimation for an Instance Segmentation Network. . In arXiv e-prints, bl arXiv:2305.14977. 2023.
- Role of Hyperparameters in Deep Active Learning. . In Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, bll 19–24. 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.
- Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions. . In Machine Learning and Knowledge Extraction (MAKE), 5(3), bll 1214–1233. MDPI, 2023.
- Multi-annotator Deep Learning: A Probabilistic Framework for Classification. . In Transactions on Machine Learning Research. 2023.
- Model selection, adaptation, and combination for transfer learning in wind and photovoltaic power forecasts. . In Energy and AI, 14, bl 100249. 2023.
- Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning. . In International Conference on Computational Intelligence and Intelligent Systems (CIIS), bll 1–6. ACM, 2023.
- Height Change Feature Based Free Space Detection. . In International Conference on Control, Mechatronics and Automation (ICCMA), bll 171–176. IEEE, 2023.
- Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. . In Discovery Science (DS), bll 265–276. Springer, 2023.
- Domain Imaging in Periodic Submicron Wide Nanostructures by Digital Drift Correction in Kerr Microscopy. . In Advanced Photonics Research, 4(10), bl 2300170. Wiley, 2023.
- Dataset of a parameterized U-bend flow for deep learning application. . In Data in Brief, 50(1), bl 109477. 2023.
- DADO – Low-Cost Query Strategies for Deep Active Design Optimization. . In International Conference on Machine Learning and Applications (ICMLA), bll 1611–1618. IEEE, 2023.
- Corner Cases in Machine Learning Processes. . In AI Perspectives & Advances, 6(1), bll 1–17. 2023.
- Continuous Feature Networks: A Novel Method to Process Irregularly and Inconsistently Sampled Data With Position-Dependent Features. . In International Journal On Advances in Intelligent Systems, 16(3&4), bll 43–50. ThinkMind, 2023.
- Context-aware recommendations for extended electric vehicle battery lifetime. . In Sustainable Computing: Informatics and Systems (SUSCOM), 37, bl 100845. Elsevier, 2023.
- Context Information for Corner Case Detection in Highly Automated Driving. . In IEEE International Conference on Intelligent Transportation Systems (ITSC), bll 1522–1529. IEEE, 2023.
- ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. . In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), bll 55–74. Springer, 2023.
- Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. . In Workshop on Interactive Adapative Learning (IAL), ECML PKDD, bll 28–45. 2023.
- Active Bird2Vec: Towards End-To-End Bird Sound Monitoring with Transformers. . In Workshop on Artificial Intelligence for Sustainability (AI4S), ECAI, bll 1–6. 2023.
2022[ to top ]
- 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.
- The Vision of Self-Management in Cognitive Organic Power Distribution Systems. . In Energies, 15(3), bl 881. MDPI, 2022.
- Stream-based active learning for sliding windows under the influence of verification latency. . In Machine Learning, 111(6), bll 2011–2036. Springer, 2022.
- Social Machines. . In Informatik Spektrum, 45(1), bll 38–42. Springer, 2022.
- Self-Aware Microsystems. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 126–127. IEEE, 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.
- 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.
- Optimizing a superconducting radio-frequency gun using deep reinforcement learning. . In Physical Review Accelerators and Beams, 25(10), bl 104604. American Physical Society, 2022.
- NDNET: A Unified Framework for Anomaly and Novelty Detection. . In International Conference on Architecture of Computing Systems (ARCS), bll 197–210. Springer, 2022.
- Multi-Task Autoencoders and Transfer Learning for Day-Ahead Wind and Photovoltaic Power Forecasts. . In Energies, 15(21), bl 8062. MDPI, 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.
- Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning. . In arXiv e-prints, bl 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. . In Machine Learning, 111(4), bll 1349–1375. Springer, 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.
- 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.
- A Review of Uncertainty Calibration in Pretrained Object Detectors. . In arXiv e-prints, bl 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.
- 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.
- 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.
- Toward optimal probabilistic active learning using a Bayesian approach. . In Machine Learning, 110(6), bll 1199–1231. Springer, 2021.
- Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. . In International Joint Conference on Neural Networks (IJCNN), bll 1–8. IEEE, 2021.
- 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.
- Smart Infrastructure: A Research Junction. . In IEEE International Smart Cities Conference (ISC2). IEEE, 2021.
- Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks. . In International Conference on Pattern Recognition (ICPR), bll 9172–9179. IEEE, 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.
- 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.
- Object Detection For Automotive Radar Point Clouds -- A Comparison. . In AI Perspectives, 3(1), bl 6. Springer, 2021.
- Novelty detection in continuously changing environments. . In Future Generation Computer Systems, 114, bll 138–154. Elsevier, 2021.
- 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.
- Multi-annotator Probabilistic Active Learning. . In International Conference on Pattern Recognition (ICPR), bll 10281–10288. IEEE, 2021.
- Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning. . In International Conference on Pattern Recognition (ICPR), bll 9483–9490. IEEE, 2021.
- 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.
- Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. . In International Conference on Pattern Recognition (ICPR), bll 2620–2626. IEEE, 2021.
- Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. . In International Conference on Pattern Recognition (ICPR), bll 2663–2670. IEEE, 2021.
- Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. . In IEEE International Smart Cities Conference (ISC2), bll 1–7. IEEE, 2021.
- Cyclist Motion State Forecasting -- Going beyond Detection. . In IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, Orlando, FL, USA, 2021.
- CLeaR: An adaptive continual learning framework for regression tasks. . In AI Perspectives, 3(1), bl 2. Springer, 2020.
- Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders. . In IEEE International Conference on Cyber Security and Resilience (CSR), bll 1–7. IEEE, 2021.
- AdaPT: Adaptable particle tracking for spherical microparticles in lab on chip systems. . In Computer Physics Communications, 262, bl 107859. Elsevier, 2021.
- 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.
- A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. . In IEEE Access, 9, bll 166970–166989. IEEE, 2021.
- 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. . In arXiv e-prints, bl arXiv:2006.01732. 2020.
- Representation Learning in Power Time Series Forecasting. . In Deep Learning: Algorithms and Applications, W. Pedrycz, S.-M. Chen (reds.), bll 67–101. Springer, 2020.
- 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.
- Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets. . In arXiv e-prints, bl arXiv:2010.05898. 2020.
- Probabilistic upscaling and aggregation of wind power forecasts. . In Energy, Sustainability and Society, 10(1), bl 15. BMC, 2020.
- 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.
- 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.
- Normal-Wishart clustering for novelty detection. . In Workshop on Self-Improving System Integration (SISSY), ACSOS, bll 64–69. IEEE, 2020.
- Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning. . In arXiv e-prints, bl 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.
- Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. . In International Joint Conference on Neural Networks (IJCNN). IEEE, 2020.
- Extended Coopetitive Soft Gating Ensemble. . In arXiv e-prints, bl arXiv:2004.14026. 2020.
- Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary. . In arXiv e-prints, bl 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.
- 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.
2019[ to top ]
- Wind Power Forecasting Based on Deep Neural Networks and Transfer Learning. . In Wind Integration Workshop. Dublin, Ireland, 2019.
- 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.
- 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 Organic Computing -- Doctoral Dissertation Colloquium 2018, S. Tomforde, B. Sick (reds.), 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.
- Towards Corner Case Identification in Cyclists’ Trajectories. . In ACM Computer Science in Cars Symposium (CSCS). ACM, 2019.
- Start Intention Detection of Cyclists using an LSTM Network. . In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft (Workshop-Beiträge), bll 219–228. Gesellschaft für Informatik e.V., Bonn, 2019.
- Smart Device Based Initial Movement Detection of Cyclists Using Convolutional Neural Networks. . In Organic Computing -- Doctoral Dissertation Colloquium 2018, S. Tomforde, B. Sick (reds.), 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.
- Pose Based Trajectory Forecast of Vulnerable Road Users. . In IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, Xiamen, 2019.
- Pose Based Start Intention Detection of Cyclists. . In IEEE International Conference on Intelligent Transportation Systems (ITSC), bll 2381–2386. IEEE, 2019.
- Organic Computing -- Doctoral Dissertation Colloquium 2018. . In Vol. 13Intelligent Embedded Systems. kassel university press, 2019.
- Limitations of Assessing Active Learning Performance at Runtime. . In arXiv e-prints, bl arXiv:1901.10338. 2019.
- Intentions of Vulnerable Road Users -- Detection and Forecasting by Means of Machine Learning. . In IEEE Transactions on Intelligent Transportation Systems, 21(7), bll 3035–3045. IEEE, 2019.
- INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft (Workshop-Beitr{{ä}}ge). . Vol. P295. Gesellschaft für Informatik e.V., 2019.
- Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. . In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik -- Informatik für Gesellschaft, bll 585–598. Gesellschaft für Informatik e.V., Bonn, 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.
- 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.
- 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.
- Decision Support with Hybrid Intelligence. . In Organic Computing -- Doctoral Dissertation Colloquium 2018, S. Tomforde, B. Sick (reds.), 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.
- 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.
- A Multi-Stage Clustering Framework for Automotive Radar Data. . In IEEE International Conference on Intelligent Transportation Systems (ITSC), bll 2060–2067. IEEE, 2019.
2018[ to top ]
- Towards Cooperative Self-adapting Activity Recognition. . In International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS), bll 215–222. 2018.
- 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.
- Starting Movement Detection of Cyclists Using Smart Devices. . In IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE, Turin, Italy, 2018.
- Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data. . In Information Sciences, 456, bll 13–33. Elsevier, 2018.
- Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models. . In Informatics, 5(3), bl 38. MDPI, 2018.
- 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.
- 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.
- Radar-based Feature Design and Multiclass Classification for Road User Recognition. . In IEEE Intelligent Vehicles Symposium (IV), bll 779–786. IEEE, Changshu, China, 2018.
- Quantifying the Influences on Probabilistic Wind Power Forecasts. . In International Conference on Power and Renewable Energy (ICPRE), bll 1–6. 2018.
- Organic Computing -- Doctoral Dissertation Colloquium 2017. . In Vol. 11Intelligent Embedded Systems. kassel university press, 2018.
- Novelty detection with CANDIES: a holistic technique based on probabilistic models. . In International Journal of Machine Learning and Cybernetics, 9(6), bll 927–945. Springer, 2018.
- 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.
- Human Pose Estimation in Real Traffic Scenes. . In IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, Bangalore, India, 2018.
- Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques. . In Applied Soft Computing, 70, bll 195–207. Elsevier, 2018.
- 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.
- 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.
- 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.
- Coopetitive Soft Gating Ensemble. . In Workshop on Self-Improving System Integration (SISSY), FAS*W. IEEE, Trento, Italy, 2018.
- Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. . In IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE, Maui, HI, 2018.
- Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. . In IEEE Transactions on Intelligent Vehicles, 3(4), bll 534–544. IEEE, 2018.
- Collaborative Interactive Learning. . In Informatik Spektrum, 41(1), bll 52–55. Springer, 2018.
- Automated Active Learning with a Robot. . In Archives of Data Science, Series A (Online First), 5(1), bl 16. KIT, 2018.
- 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.
- 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.
- Active Learning with Realistic Data -- A Case Study. . In International Joint Conference on Neural Networks (IJCNN). IEEE, Rio de Janiero, Brazil, 2018.
- A review of uncertainty representations and metaverification of uncertainty assessment techniques for renewable energies. . In Renewable and Sustainable Energy Reviews, 96, bll 352–379. Elsevier, 2018.
- A Multi-Scheme Ensemble Using Coopetitive Soft-Gating With Application to Power Forecasting for Renewable Energy Generation. . In arXiv e-prints, bl arXiv:1803.06344. 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 Organic Computing -- Doctoral Dissertation Colloquium 2017, S. Tomforde, B. Sick (reds.), bll 27–37. kassel university press, Kassel, Germany, 2017.
- Simulation of Annotators for Active Learning: Uncertain Oracles. . In Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, CEUR Workshop Proceedings, bll 49–58. 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.
- 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.
- Probabilistic Active Learning with Structure-Sensitive Kernels. . In Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, CEUR Workshop Proceedings, bll 37–48. 2017.
- Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria. . In Pattern Analysis and Applications, 21(2), bll 543–562. Springer, 2017.
- Organic Computing in the Spotlight. . In arXiv e-prints, bl arXiv:1701.08125. 2017.
- Organic Computing -- Doctoral Dissertation Colloquium 2016. . In Vol. 10Intelligent Embedded Systems. kassel university press, 2017.
- 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.
- Learning Without Ground Truth. . In Organic Computing -- Doctoral Dissertation Colloquium 2017, S. Tomforde, B. Sick (reds.). 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.
- Interactive Learning Without Ground Truth. . In Organic Computing -- Doctoral Dissertation Colloquium 2017, S. Tomforde, B. Sick (reds.), 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.
- Highly Autonomous Learning in Collaborative, Technical Systems. . In Organic Computing -- Doctoral Dissertation Colloquium 2017, S. Tomforde, B. Sick (reds.). kassel university press, Kassel, Germany, 2017.
- Enhanced Probabilistic Active Learning: Cost-sensitive, Unbalanced, Time-variant, Self-optimising, and Parameter-free. . In Organic Computing -- Doctoral Dissertation Colloquium 2017, S. Tomforde, B. Sick (reds.), bll 67–78. kassel university press, Kassel, Germany, 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.
- 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.
- Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. . In Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, CEUR Workshop Proceedings, bll 2–14. 2017.
- Case Study on Pool-based Active Learning with Human Oracles. . In Organic Computing -- Doctoral Dissertation Colloquium 2017, S. Tomforde, B. Sick (reds.), bll 39–49. kassel university press, Kassel, Germany, 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.
- 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.
- 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.
- Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. . In Information Sciences, 370--371, bll 476–496. Elsevier, 2016.
- Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data. . In arXiv e-prints, bl 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.
- Probabilistic Obsoleteness Detection for Gaussian Mixture Models. . In Organic Computing -- Doctoral Dissertation Colloquium 2016, S. Tomforde, B. Sick (reds.), bll 45–56. kassel university press, Kassel, Germany, 2016.
- Pals: Interactive Pool-based Active Learning System with Uncertain Oracles. . In Organic Computing -- Doctoral Dissertation Colloquium 2016, B. Sick, S. Tomforde (reds.), 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.
- 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.
- 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.
- Exploit the Potential of the Group: Putting Humans in the Dedicated Collaborative Interactive Learning Loop. . In Organic Computing -- Doctoral Dissertation Colloquium 2016, B. Sick, S. Tomforde (reds.). kassel university press, Kassel, Germany, 2016.
- Design and optimization of an autonomous feature selection pipeline for high dimensional, heterogeneous feature spaces. . In IEEE Symposium Series on Computational Intelligence (SSCI), bll 1–9. IEEE, Athens, Greece, 2016.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
2015[ to top ]
- Using Ontology-Based Similarity Measures to Find Training Data for Problems with Sparse Data. . In IEEE International Conference on Systems, Man and Cybernetics (SMC), bll 1693–1699. IEEE, Hongkong, China, 2015.
- Transductive active learning -- A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data. . In Information Sciences, 293, bll 275–298. Elsevier, 2015.
- Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptions. . In SAI Intelligent Systems Conference (IntelliSys), Studies in Computational Intelligence, bll 259–279. Springer, Cham, Switzerland, 2015.
- The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for Classification. . In Information Sciences, 323, bll 179–198. Elsevier, 2015.
- Self-adapting Multi-Sensor System Using Classifiers Based on Gaussian Mixture Models. . In Organic Computing -- Doctoral Dissertation Colloquium 2015, S. Tomforde, B. Sick (reds.), bll 109–120. kassel university press, Kassel, Germany, 2015.
- Organic Computing -- Doctoral Dissertation Colloquium 2015. . In Vol. 7Intelligent Embedded Systems. kassel university press, 2015.
- On the Application Possibilities of Organic Computing Principles in Socio-technical Systems. . In Organic Computing -- Doctoral Dissertation Colloquium 2015, S. Tomforde, B. Sick (reds.), bll 165–170. kassel university press, Kassel, Germany, 2015.
- Horizontal Integration of Organic Computing and Control Theory Concepts. . In Organic Computing -- Doctoral Dissertation Colloquium 2015, S. Tomforde, B. Sick (reds.), 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.
- 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.
- Car Drive Classification and Context Recognition for Personalized Entertainment Preference Learning. . In International Journal on Advances in Software, 8(1--2), bll 53–64. IARIA, 2015.
- Capacity of Low-Voltage Grids for Distributed Generation: Classification by Means of Stochastic Simulations. . In IEEE Transactions on Power Systems, 30(2), bll 689–700. IEEE, 2015.
- 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.
- 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.
- Anomalies in Generative Trajectory Models -- Discovering Suspicious Traces with Novelty Detection Methods. . In Organic Computing -- Doctoral Dissertation Colloquium 2015, S. Tomforde, B. Sick (reds.), bll 95–107. kassel university press, Kassel, Germany, 2015.
- Analyse des Fahrerverhaltens zur Entwicklung von intelligenten Komfortfunktionen. . In Elektronik automotive, 2(2), bll 32–36. WEKA Fachmedien, Landshut, Germany, 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.
- 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. . In arXiv e-prints, bl 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.
- 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.
- 4DSPro: A New Selection Strategy for Pool-based Active Learning. . In Organic Computing -- Doctoral Dissertation Colloquium 2015, S. Tomforde, B. Sick (reds.), 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.
- Self-Extending Training Sets: Using Ontologies to Improve Machine Learning Performance. . In Organic Computing -- Doctoral Dissertation Colloquium 2014, S. Tomforde, B. Sick (reds.), 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.
- Self-Adapting Generative Modeling Techniques -- A Basic Building Block for Many Organic Computing Techniques. . In Organic Computing -- Doctoral Dissertation Colloquium 2014, S. Tomforde, B. Sick (reds.), 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 Organic Computing -- Doctoral Dissertation Colloquium 2014, S. Tomforde, B. Sick (reds.), 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.
- Organic Computing -- Doctoral Dissertation Colloquium 2014. . In Vol. 4Intelligent Embedded Systems. kassel university press, 2014.
- On General Purpose Time Series Similarity Measures and Their Use as Kernel Functions in Support Vector Machines. . In Information Sciences, 281, bll 478–495. Elsevier, 2014.
- 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.
- Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications. . In IEEE Transactions on Knowledge and Data Engineering, 26(3), bll 652–666. IEEE, 2014.
- Interwoven Systems. . In Informatik Spektrum, 37(5), bll 483–487. Springer, 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.
2013[ to top ]
- Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS. . In Information Sciences, 230, bll 106–131. Elsevier, 2013.
- Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers. . In IEEE Transactions on Evolutionary Computation, 17(1), bll 46–63. IEEE, 2013.
- 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.
2012[ to top ]
- Techniques for knowledge acquisition in dynamically changing environments. . In ACM Transactions on Autonomous and Adaptive Systems, 7(1), bl 16. ACM, 2012.
- Learning from others: Exchange of classification rules in intelligent distributed systems. . In Artificial Intelligence, 187--188, bll 90–114. Elsevier, 2012.
- Handedness Tests for Preschool Children: A Novel Approach Based on Graphics Tablets and Support Vector Machines. . In Applied Soft Computing, 12(4), bll 1390–1398. Elsevier, 2012.
- Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. . In International Joint Conference on Neural Networks (IJCNN), bll 1–8. IEEE, Brisbane, Australia, 2012.
- Determination of Optimal CT Scan Parameters Using Radial Basis Function Neural Networks. . In Conference on Industrial Computed Tomography (iCT), bll 221–228. Wels, Austria, 2012.
2011[ to top ]
- SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis. . In IEEE Transactions on Knowledge and Data Engineering, 23(5), bll 774–787. IEEE, 2011.
- On-Line Intrusion Alert Aggregation With Generative Data Stream Modeling. . In IEEE Transactions on Dependable and Secure Computing, 8(2), bll 282–294. IEEE, 2011.
- Learning: Preface. . In Organic Computing -- A Paradigm Shift for Complex Systems, C. Müller-Schloer, H. Schmeck, T. Ungerer (reds.), bll 235–236. Springer, 2011.
- In your interest: Objective interestingness measures for a generative classifier. . In International Conference on Agents and Artificial Intelligence (ICAART), bll 414–423. Rome, Italy, 2011.
- Divergence Measures as a Generalised Approach to Quantitative Emergence. . In Organic Computing -- A Paradigm Shift for Complex Systems, C. Müller-Schloer, H. Schmeck, T. Ungerer (reds.), bll 53–66. Springer, 2011.
- Collaborative Learning by Knowledge Exchange. . In Organic Computing -- A Paradigm Shift for Complex Systems, C. Müller-Schloer, H. Schmeck, T. Ungerer (reds.), bll 267–280. Springer, 2011.
- Automatic Adaptation of Mobile Activity Recognition Systems to New Sensors. . In Workshop Mobile Sensing: Challenges, Opportunities, and Future Directions, UbiComp, bll 1–5. ACM, Beijing, China, 2011.
- Active classifier training with the 3DS strategy. . In IEEE Symposium on Computational Intelligence and Data Mining (CIDM), bll 88–95. IEEE, Paris, France, 2011.
2010[ to top ]
- Temporal Data Mining Using Shape Space Representations of Time Series. . In Neurocomputing, 74(1--3), bll 379–393. Elsevier, 2010.
- Quantitative Emergence -- A Refined Approach Based on Divergence Measures. . In IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), bll 94–103. IEEE, Budapest, Hungary, 2010.
- Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions. . In IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 40(4), bll 1088–1100. IEEE, 2010.
- Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations. . In IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(12), bll 2232–2245. IEEE, 2010.
2006[ to top ]
- Biometric Analysis of Handwriting Dynamics Using a Script Generator Model. . In IEEE Mountain Workshop on Adaptive and Learning Systems, bll 36–41. IEEE, Logan, 2006.