Bernhard Sick - RankMe

355 papers A* 3A 2B 40C 24Misc 6Journal 150Unranked 119

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BoSS: A Best-of-Strategies Selector as an Oracle for Deep Active Learning. CoRR Denis Huseljic, Paul Hahn, Marek Herde, Christoph Sandrock, Bernhard Sick
2026	J	`jnl`	DD-MDN: Human Trajectory Forecasting with Diffusion-Based Dual Mixture Density Networks and Uncertainty Self-Calibration. CoRR Manuel Hetzel, Kerim Turacan, Hannes Reichert, Konrad Doll, Bernhard Sick
2025	C	`conf`	A Concept for Requirements-Driven Identification and Mitigation of Dataset Gaps for Perception Tasks in Automated Driving. ICPRAM Mohamed Sabry Moustafa, Maarten Bieshaar, Andreas Albrecht, Bernhard Sick
2025	J	`jnl`	Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics. CoRR René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz
2025	J	`jnl`	AudioProtoPNet: An interpretable deep learning model for bird sound classification. Ecol. Informatics René Heinrich, Lukas Rauch, Bernhard Sick, Christoph Scholz
2025	A*	`conf`	BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics. ICLR Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz
2025	J	`jnl`	Can Masked Autoencoders Also Listen to Birds? CoRR Lukas Rauch, Ilyass Moummad, René Heinrich, Alexis Joly, Bernhard Sick, Christoph Scholz
2025	J	`jnl`	Can Masked Autoencoders Also Listen to Birds? Trans. Mach. Learn. Res. Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz
2025	J	`jnl`	Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning. CoRR Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Bernhard Sick
2025	—	`conf`	Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations. ECML/PKDD (2) Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick
2025	J	`jnl`	Flow-Attentional Graph Neural Networks. CoRR Pascal Plettenberg, Dominik Köhler, Bernhard Sick, Josephine M. Thomas
2025	J	`jnl`	Flow-Attentional Graph Neural Networks. Trans. Mach. Learn. Res. Pascal Plettenberg, Dominik Köhler, Bernhard Sick, Josephine M. Thomas
2025	—	`conf`	Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics. ECML/PKDD (8) Pascal Plettenberg, André Alcalde, Bernhard Sick, Josephine M. Thomas
2025	J	`jnl`	Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics. CoRR Pascal Plettenberg, André Alcalde, Bernhard Sick, Josephine M. Thomas
2025	—	`conf`	Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach. ECML/PKDD (10) Mohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz
2025	J	`jnl`	Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach. CoRR Mohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz
2025	—	`conf`	Location-Based Probabilistic Load Forecasting of Electric Vehicle Charging Sites: Deep Transfer Learning with Multi-quantile Temporal Convolutional Network. ARCS Mohammad Wazed Ali, Mohammad Asif Ibna Mustafa, Md. Aukerul Moin Shuvo, Bernhard Sick
2025	J	`jnl`	No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success. CoRR Lukas Rauch, Moritz Wirth, Denis Huseljic, Marek Herde, Bernhard Sick, Matthias Aßenmacher
2025	—	`conf`	Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans. ITSC Hannes Reichert, Benjamin Serfling, Elijah Schüssler, Kerim Turacan, Konrad Doll, Bernhard Sick
2025	J	`jnl`	Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans. CoRR Hannes Reichert, Benjamin Serfling, Elijah Schüssler, Kerim Turacan, Konrad Doll, Bernhard Sick
2025	J	`jnl`	Systematic Evaluation of Uncertainty Calibration in Pretrained Object Detectors. Int. J. Comput. Vis. Denis Huseljic, Marek Herde, Paul Hahn, Mehmet Muejde, Bernhard Sick
2025	Misc	`conf`	Towards Cognitive Situational Awareness in Maritime Traffic Using Federated Evidential Learning. CogSIMA Shang Gao, Zhixin Huang, Ghassan Al-Falouji, Bernhard Sick, Sven Tomforde
2025	—	`conf`	Unify: Uncertainty Incorporated Federated Learning for Object Detection. ARCS Shang Gao, Bernhard Sick, Franz Götz-Hahn
2025	J	`jnl`	Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification. CoRR Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz
2025	J	`jnl`	crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels. CoRR Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick
2025	J	`jnl`	crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels. Trans. Mach. Learn. Res. Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick
2024	—	`conf`	Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes. IAL@PKDD/ECML Jens Decke, Alexander Heinen, Bernhard Sick, Christian Gruhl
2024	—	`conf`	An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. ARCS Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
2024	J	`jnl`	An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. CoRR Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
2024	A	`conf`	Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension. ECAI Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick
2024	J	`jnl`	Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension. CoRR Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick
2024	J	`jnl`	AudioProtoPNet: An interpretable deep learning model for bird sound classification. CoRR René Heinrich, Bernhard Sick, Christoph Scholz
2024	J	`jnl`	BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics. CoRR Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz
2024	J	`jnl`	Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation. CoRR Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar, Bernhard Sick
2024	—	`conf`	Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation. ECML/PKDD (10) Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick
2024	J	`jnl`	Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification. CoRR Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick
2024	—	`conf`	Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification. ECML/PKDD (7) Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick
2024	—	`conf`	From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in Solving Mesh-Based PDEs. ARCS Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024	J	`jnl`	From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. CoRR Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024	—	`conf`	General Reusability: Ensuring Long-Term Benefits of Deep Active Learning. IAL@PKDD/ECML Paul Hahn, Denis Huseljic, Marek Herde, Bernhard Sick
2024	J	`jnl`	Graph Reinforcement Learning in Power Grids: A Survey. CoRR Mohamed Hassouna, Clara Holzhüter, Pawel Lytaev, Josephine M. Thomas, Bernhard Sick, Christoph Scholz
2024	J	`jnl`	Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network. CoRR Mohammad Wazed Ali, Asif bin Mustafa, Md. Aukerul Moin Shuvo, Bernhard Sick
2024	B	`conf`	Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection. IJCNN Chandana Priya Nivarthi, Zhixin Huang, Christian Gruhl, Bernhard Sick
2024	—	`conf`	Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems. ISGT EUROPE Martin Braun, Christian Gruhl, Christian A. Hans, Philipp Härtel, Christoph Scholz, Bernhard Sick, Malte Siefert, Florian Steinke, Olaf Stursberg, Sebastian Wende-von Berg
2024	J	`jnl`	Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems. CoRR Martin Braun, Christian Gruhl, Christian A. Hans, Philipp Härtel, Christoph Scholz, Bernhard Sick, Malte Siefert, Florian Steinke, Olaf Stursberg, Sebastian Wende-von Berg
2024	—	`conf`	Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. ECCV Workshops (17) Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
2024	J	`jnl`	Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. CoRR Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
2024	—	`conf`	Self-Aware Control for Autonomous Underwater Vehicles. ACSOS-C Jens Decke, Florian Gerland, Thomas Schomberg, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024	—	`conf`	Sensor Equivariance: A Framework for Semantic Segmentation with Diverse Camera Models. CVPR Workshops Hannes Reichert, Manuel Hetzel, Andreas Hubert, Konrad Doll, Bernhard Sick
2024	B	`conf`	Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. IJCNN Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Christian Gruhl, Bernhard Sick
2024	J	`jnl`	Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction. CoRR Zhixin Huang, Yujiang He, Bernhard Sick
2024	J	`jnl`	The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification. Trans. Mach. Learn. Res. Denis Huseljic, Marek Herde, Yannick Nagel, Lukas Rauch, Paulius Strimaitis, Bernhard Sick
2024	—	`conf`	Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. ICPR (27) Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Bernhard Sick, Christian Gruhl
2024	—	`conf`	Towards Deep Active Learning in Avian Bioacoustics. IAL@PKDD/ECML Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz
2024	J	`jnl`	Towards Deep Active Learning in Avian Bioacoustics. CoRR Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz
2024	—	`conf`	Tutorial: Interactive Adaptive Learning. IAL@PKDD/ECML Marek Herde, Tuan Pham Minh, Alaa Tharwat, Bernhard Sick
2024	A*	`conf`	dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans. NeurIPS Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick
2024	J	`jnl`	dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans. CoRR Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick
2023	J	`jnl`	Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers. CoRR Lukas Rauch, Raphael Schwinger, Moritz Wirth, Bernhard Sick, Sven Tomforde, Christoph Scholz
2023	J	`jnl`	Active Label Refinement for Semantic Segmentation of Satellite Images. CoRR Tuan Pham Minh, Jayan Wijesingha, Daniel Kottke, Marek Herde, Denis Huseljic, Bernhard Sick, Michael Wachendorf, Thomas Esch
2023	—	`conf`	Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. IAL@PKDD/ECML Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick
2023	—	`conf`	ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. ECML/PKDD (1) Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick
2023	J	`jnl`	ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. CoRR Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick
2023	—	`conf`	Context Information for Corner Case Detection in Highly Automated Driving. ITSC Florian Heidecker, Tobias Susetzky, Erich Fuchs, Bernhard Sick
2023	J	`jnl`	Context-aware recommendations for extended electric vehicle battery lifetime. Sustain. Comput. Informatics Syst. Markus Eider, Bernhard Sick, Andreas Berl
2023	C	`conf`	DADO - Low-Cost Query Strategies for Deep Active Design Optimization. ICMLA Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
2023	J	`jnl`	DADO - Low-Cost Selection Strategies for Deep Active Design Optimization. CoRR Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
2023	J	`jnl`	Dataset of a parameterized U-bend flow for Deep Learning Applications. CoRR Jens Decke, Olaf Wünsch, Bernhard Sick
2023	J	`jnl`	Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. CoRR Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick
2023	B	`conf`	Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. DS Christoph Sandrock, Marek Herde, Daniel Kottke, Bernhard Sick
2023	—	`conf`	Height Change Feature Based Free Space Detection. ICCMA Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick
2023	J	`jnl`	Height Change Feature Based Free Space Detection. CoRR Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick
2023	—	`conf`	Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning. CIIS Birk Martin Magnussen, Claudius Stern, Bernhard Sick
2023	J	`jnl`	Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions. Mach. Learn. Knowl. Extr. Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick
2023	J	`jnl`	Multi-annotator Deep Learning: A Probabilistic Framework for Classification. CoRR Marek Herde, Denis Huseljic, Bernhard Sick
2023	J	`jnl`	Multi-annotator Deep Learning: A Probabilistic Framework for Classification. Trans. Mach. Learn. Res. Marek Herde, Denis Huseljic, Bernhard Sick
2023	J	`jnl`	Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. IEEE Trans. Intell. Veh. Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2023	—	`conf`	Role of Hyperparameters in Deep Active Learning. IAL@PKDD/ECML Denis Huseljic, Marek Herde, Paul Hahn, Bernhard Sick
2023	J	`jnl`	Sampling-based Uncertainty Estimation for an Instance Segmentation Network. CoRR Florian Heidecker, Ahmad El-Khateeb, Bernhard Sick
2023	—	`conf`	Self- Integration and Agent Compatibility. ACSOS-C Christian Gruhl, Bernhard Sick
2023	C	`conf`	Sensor Equivariance by LiDAR Projection Images. IV Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick
2023	J	`jnl`	Sensor Equivariance by LiDAR Projection Images. CoRR Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick
2023	J	`jnl`	Smart Infrastructure: A Research Junction. CoRR Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
2023	C	`conf`	The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. IV Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick
2023	J	`jnl`	The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. CoRR Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick
2023	—	`conf`	Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. IAL@PKDD/ECML Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick
2023	C	`conf`	Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. ICMLA Chandana Priya Nivarthi, Bernhard Sick
2023	J	`jnl`	Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis. CoRR Diego Botache, Kristina Dingel, Rico Huhnstock, Arno Ehresmann, Bernhard Sick
2023	—	`conf`	What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt
2023	—	`conf`	Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning. IAL@PKDD/ECML Marek Herde, Denis Huseljic, Bernhard Sick, Ulrich Bretschneider, Sarah Oeste-Reiß
2022	—	`conf`	A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning. IAL@PKDD/ECML Marek Herde, Denis Huseljic, Jelena Mitrovic, Michael Granitzer, Bernhard Sick
2022	C	`conf`	A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. IV Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
2022	—	`conf`	A Practical Evaluation of Active Learning Approaches for Object Detection. IAL@PKDD/ECML Jan Schneegans, Maarten Bieshaar, Bernhard Sick
2022	J	`jnl`	A Review of Uncertainty Calibration in Pretrained Object Detectors. CoRR Denis Huseljic, Marek Herde, Mehmet Muejde, Bernhard Sick
2022	—	`conf`	A Stopping Criterion for Transductive Active Learning. ECML/PKDD (4) Daniel Kottke, Christoph Sandrock, Georg Krempl, Bernhard Sick
2022	J	`jnl`	Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning. CoRR Yujiang He, Zhixin Huang, Bernhard Sick
2022	J	`jnl`	Efficient SVDD sampling with approximation guarantees for the decision boundary. Mach. Learn. Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm
2022	—	`conf`	Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources. IAL@PKDD/ECML Lukas Rauch, Denis Huseljic, Bernhard Sick
2022	J	`jnl`	Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning. CoRR Marek Herde, Zhixin Huang, Denis Huseljic, Daniel Kottke, Stephan Vogt, Bernhard Sick
2022	B	`conf`	Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches. DSAA Tobias Westmeier, Diego Botache, Maarten Bieshaar, Bernhard Sick
2022	J	`jnl`	Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies. CoRR Jens Schreiber, Bernhard Sick
2022	—	`conf`	NDNET: A Unified Framework for Anomaly and Novelty Detection. ARCS Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl
2022	J	`jnl`	Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario. Inf. Softw. Technol. Christian Krupitzer, Christian Gruhl, Bernhard Sick, Sven Tomforde
2022	—	`conf`	Self-Aware Microsystems. ACSOS-C Christian Gruhl, Sven Tomforde, Bernhard Sick
2022	J	`jnl`	Social Machines. Inform. Spektrum Claude Draude, Christian Gruhl, Gerrit Hornung, Jonathan Kropf, Jörn Lamla, Jan Marco Leimeister, Bernhard Sick, Gerd Stumme
2022	—	`conf`	Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. SSCI Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
2022	J	`jnl`	Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. CoRR Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
2022	J	`jnl`	Stream-based active learning for sliding windows under the influence of verification latency. Mach. Learn. Tuan Pham, Daniel Kottke, Georg Krempl, Bernhard Sick
2022	J	`jnl`	Synthetic Photovoltaic and Wind Power Forecasting Data. CoRR Stephan Vogt, Jens Schreiber, Bernhard Sick
2022	J	`jnl`	Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast. CoRR Jens Schreiber, Stephan Vogt, Bernhard Sick
2022	C	`conf`	Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting. ICMLA Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick
2021	—	`conf`	A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving. IAL@PKDD/ECML Maarten Bieshaar, Marek Herde, Denis Huseljic, Bernhard Sick
2021	J	`jnl`	A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. IEEE Access Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma
2021	J	`jnl`	A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. CoRR Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma
2021	—	`conf`	AI - Based On The Fly Design of Experiments in Physics and Engineering. ACSOS-C Kristina Dingel, Alexander Liehr, M. Vogel, Sebastian Degener, David Meier, Thoralf Niendorf, Arno Ehresmann, Bernhard Sick
2021	—	`conf`	About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving. ICCVW Matthias Reuse, Martin Simon, Bernhard Sick
2021	J	`jnl`	AdaPT: Adaptable Particle Tracking for spherical microparticles in lab on chip systems. Comput. Phys. Commun. Kristina Dingel, Rico Huhnstock, André Knie, Arno Ehresmann, Bernhard Sick
2021	C	`conf`	An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IV Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
2021	J	`jnl`	An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. CoRR Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
2021	Misc	`conf`	Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders. CSR Abdul Hannan, Christian Gruhl, Bernhard Sick
2021	J	`jnl`	CLeaR: An Adaptive Continual Learning Framework for Regression Tasks. CoRR Yujiang He, Bernhard Sick
2021	J	`jnl`	Cyclist Intention Detection: A Probabilistic Approach. CoRR Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
2021	—	`conf`	Cyclist Motion State Forecasting - Going beyond Detection. SSCI Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick
2021	—	`conf`	Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. ISC2 Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
2021	J	`jnl`	Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. CoRR Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
2021	—	`conf`	Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
2021	J	`jnl`	Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
2021	J	`jnl`	Hybride Wissensarbeit. Inform. Spektrum Sarah Oeste-Reiß, Eva A. C. Bittner, Izabel Cvetkovic, Andreas Günther, Jan Marco Leimeister, Lucas Memmert, Anja Ott, Bernhard Sick, Kathrin Wolter
2021	J	`jnl`	Novelty detection in continuously changing environments. Future Gener. Comput. Syst. Christian Gruhl, Bernhard Sick, Sven Tomforde
2021	—	`conf`	Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders. CVPR Workshops Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
2021	J	`jnl`	Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. CoRR Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
2021	J	`jnl`	Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. CoRR Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2021	J	`jnl`	Probabilistic Active Learning for Active Class Selection. CoRR Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick
2021	—	`conf`	Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. IV Workshops Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick
2021	—	`conf`	Smart Infrastructure: A Research Junction. ISC2 Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
2021	—	`conf`	Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast. ECML/PKDD (4) Jens Schreiber, Stephan Vogt, Bernhard Sick
2021	J	`jnl`	Toward AI-enhanced online-characterization and shaping of ultrashort X-ray free-electron laser pulses. CoRR Kristina Dingel, Thorsten Otto, Lutz Marder, Lars Funke, Arne Held, Sara Savio, Andreas Hans, Gregor Hartmann, David Meier, Jens Viefhaus, Bernhard Sick, Arno Ehresmann, Markus Ilchen, Wolfram Helml
2021	B	`conf`	Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. IJCNN Yujiang He, Zhixin Huang, Bernhard Sick
2021	J	`jnl`	Toward optimal probabilistic active learning using a Bayesian approach. Mach. Learn. Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
2021	—	`conf`	Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. ACSOS Diego Botache, Florian Bethke, Martin Hardieck, Maarten Bieshaar, Ludwig Brabetz, Mohamed Ayeb, Peter Zipf, Bernhard Sick
2021	J	`jnl`	Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management. CoRR Inga Löser, Martin Braun, Christian Gruhl, Jan-Hendrik Menke, Bernhard Sick, Sven Tomforde
2021	—	`conf`	Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. ISC2 Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner
2021	J	`jnl`	Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. CoRR Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner
2021	—	`conf`	Uncertainty and Utility Sampling with Pre-Clustering. IAL@PKDD/ECML Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick
2020	—	`conf`	A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour. ACSOS Companion Sven Tomforde, Christian Gruhl, Bernhard Sick
2020	J	`jnl`	Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary. CoRR Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm
2020	B	`conf`	Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. ICPR Jens Schreiber, Bernhard Sick
2020	J	`jnl`	Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. CoRR Jens Schreiber, Bernhard Sick
2020	J	`jnl`	Extended Coopetitive Soft Gating Ensemble. CoRR Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick
2020	B	`conf`	Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. IJCNN Yujiang He, Janosch Henze, Bernhard Sick
2020	B	`conf`	Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. ICPR Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick
2020	B	`conf`	Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. IJCNN Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick
2020	—	`conf`	Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks. ICPR Workshops (4) Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick
2020	J	`jnl`	Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. IEEE Trans. Intell. Transp. Syst. Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer
2020	B	`conf`	Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning. ICPR Christian Haase-Schütz, Rainer Stal, Heinz Hertlein, Bernhard Sick
2020	B	`conf`	Multi-Annotator Probabilistic Active Learning. ICPR Marek Herde, Daniel Kottke, Denis Huseljic, Bernhard Sick
2020	—	`conf`	Normal-Wishart Clustering for Novelty Detection. ACSOS Companion Christian Gruhl, Jörn Schmeißing, Sven Tomforde, Bernhard Sick
2020	—	`conf`	Novelty Based Driver Identification on RR Intervals from ECG Data. ICPR Workshops (4) Florian Heidecker, Christian Gruhl, Bernhard Sick
2020	C	`conf`	Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? FUSION Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2020	J	`jnl`	Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? CoRR Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2020	—	`conf`	Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. SSCI Viktor Kress, Steven Schreck, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2020	—	`conf`	Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. ICPR Workshops (1) Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2020	J	`jnl`	Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets. CoRR Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick
2020	A*	`conf`	Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. CVPR Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
2020	B	`conf`	Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks. ICPR Denis Huseljic, Bernhard Sick, Marek Herde, Daniel Kottke
2020	J	`jnl`	Toward Optimal Probabilistic Active Learning Using a Bayesian Approach. CoRR Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
2020	—	`conf`	Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. ICPR Workshops (4) Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick
2020	J	`jnl`	Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning. CoRR Christian Haase-Schütz, Rainer Stal, Heinz Hertlein, Bernhard Sick
2019	—	`ed.`	49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019 - Workshops, Kassel, Germany, September 23-26, 2019 GI-Jahrestagung (Workshops) Claude Draude, Martin Lange, Bernhard Sick
2019	—	`conf`	A Multi-Stage Clustering Framework for Automotive Radar Data. ITSC Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019	J	`jnl`	A Multi-Stage Clustering Framework for Automotive Radar Data. CoRR Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019	J	`jnl`	Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices. CoRR Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche, Bernhard Sick
2019	J	`jnl`	Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS. CoRR Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019	J	`jnl`	Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields. CoRR Tom Hanika, Marek Herde, Jochen Kuhn, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiß, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Sven Tomforde, Katharina Anna Zweig
2019	B	`conf`	Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. IJCNN Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick
2019	—	`conf`	Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition. GI-Jahrestagung (Workshops) Diego Botache, Dandan Liu, Maarten Bieshaar, Bernhard Sick
2019	—	`conf`	Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. ICANN (3) Jens Schreiber, Maik Jessulat, Bernhard Sick
2019	J	`jnl`	Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. CoRR Jens Schreiber, Maik Jessulat, Bernhard Sick
2019	—	`conf`	Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. GI-Jahrestagung Jens Schreiber, Artjom Buschin, Bernhard Sick
2019	J	`jnl`	Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. CoRR Jens Schreiber, Artjom Buschin, Bernhard Sick
2019	J	`jnl`	Limitations of Assessing Active Learning Performance at Runtime. CoRR Daniel Kottke, Jim Schellinger, Denis Huseljic, Bernhard Sick
2019	—	`conf`	Pose Based Start Intention Detection of Cyclists. ITSC Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2019	—	`conf`	Pose Based Trajectory Forecast of Vulnerable Road Users. SSCI Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2019	J	`jnl`	Radar-based Feature Design and Multiclass Classification for Road User Recognition. CoRR Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019	C	`conf`	Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. IV Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019	J	`jnl`	Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. CoRR Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019	J	`jnl`	Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. CoRR Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
2019	—	`conf`	Start Intention Detection of Cyclists using an LSTM Network. GI-Jahrestagung (Workshops) Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2019	C	`conf`	Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. IV Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
2019	—	`conf`	Using grid supporting flexibility in electricity distribution networks. GI-Jahrestagung Immanuel König, Erik Heilmann, Janosch Henze, Klaus David, Heike Wetzel, Bernhard Sick
2018	B	`conf`	Active Learning With Realistic Data - A Case Study. IJCNN Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick
2018	B	`conf`	Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. IJCNN Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick
2018	—	`conf`	Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime. FAS*W@SASO/ICAC Christian Gruhl, Sven Tomforde, Bernhard Sick
2018	J	`jnl`	Collaborative Interactive Learning. Inform. Spektrum Bernhard Sick, Sarah Oeste-Reiß, Albrecht Schmidt, Sven Tomforde, Katharina Anna Zweig
2018	J	`jnl`	Comparing the Effects of Disturbances in Self-adaptive Systems - A Generalised Approach for the Quantification of Robustness. Trans. Comput. Collect. Intell. Sven Tomforde, Jan Kantert, Christian Müller-Schloer, Sebastian Bödelt, Bernhard Sick
2018	J	`jnl`	Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. CoRR Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll
2018	J	`jnl`	Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. IEEE Trans. Intell. Veh. Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll
2018	—	`conf`	Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. ITSC Günther Reitberger, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Erich Fuchs
2018	J	`jnl`	Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. CoRR Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs
2018	—	`conf`	Coopetitive Soft Gating Ensemble. FAS*W@SASO/ICAC Jens Schreiber, Maarten Bieshaar, Andre Gensler, Bernhard Sick, Stephan Deist
2018	J	`jnl`	Coopetitive Soft Gating Ensemble. CoRR Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick
2018	J	`jnl`	Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. CoRR Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll
2018	B	`conf`	Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. Intelligent Vehicles Symposium Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll
2018	J	`jnl`	Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. CoRR Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll
2018	—	`conf`	Gestaltungsraum für proaktive Smart Homes zur Gesundheitsförderung. MKWI Theresa Kromat, Tobias Dehling, Reinhold Haux, Christoph Peters, Bernhard Sick, Sven Tomforde, Klaus-Hendrik Wolf, Ali Sunyaev
2018	J	`jnl`	Highly Automated Learning for Improved Active Safety of Vulnerable Road Users. CoRR Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick
2018	—	`conf`	Hijacked Smart Devices - Methodical Foundations for Autonomous Theft Awareness based on Activity Recognition and Novelty Detection. ICAART (2) Martin Jänicke, Viktor Schmidt, Bernhard Sick, Sven Tomforde, Paul Lukowicz
2018	J	`jnl`	Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques. Appl. Soft Comput. Sebastian Breker, Jan Rentmeister, Bernhard Sick, Martin Braun
2018	—	`conf`	Human Pose Estimation in Real Traffic Scenes. SSCI Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2018	J	`jnl`	Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning. CoRR Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer
2018	—	`conf`	Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration. HICSS Adrian Calma, Sarah Oeste-Reiß, Bernhard Sick, Jan Marco Leimeister
2018	J	`jnl`	Novelty detection with CANDIES: a holistic technique based on probabilistic models. Int. J. Mach. Learn. Cybern. Christian Gruhl, Bernhard Sick
2018	J	`jnl`	Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria. Pattern Anal. Appl. Andre Gensler, Bernhard Sick
2018	—	`ed.`	Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), Dublin, Ireland, September 10th, 2018. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Daniel Kottke, Adrian Calma, Andreas Holzinger, Robi Polikar, Bernhard Sick
2018	J	`jnl`	Quantifying the Influences on Probabilistic Wind Power Forecasts. CoRR Jens Schreiber, Bernhard Sick
2018	B	`conf`	Radar-based Feature Design and Multiclass Classification for Road User Recognition. Intelligent Vehicles Symposium Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2018	—	`conf`	Sampling Strategies for Representative Time Series in Load Flow Calculations. DARE@PKDD/ECML Janosch Henze, Stephan Kutzner, Bernhard Sick
2018	—	`conf`	Security Issues in Self-Improving System Integration - Challenges and Solution Strategies. FAS*W@SASO/ICAC Henner Heck, Bernhard Sick, Sven Tomforde
2018	J	`jnl`	Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models. Informatics Martin Jänicke, Bernhard Sick, Sven Tomforde
2018	J	`jnl`	Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data. Inf. Sci. Adrian Calma, Tobias Reitmaier, Bernhard Sick
2018	—	`conf`	Smart Device Stealing and CANDIES. ICAART (Revised Selected Papers) Martin Jänicke, Viktor Schmidt, Bernhard Sick, Sven Tomforde, Paul Lukowicz, Jörn Schmeißing
2018	B	`conf`	Starting Movement Detection of Cyclists Using Smart Devices. DSAA Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick
2018	J	`jnl`	Starting Movement Detection of Cyclists Using Smart Devices. CoRR Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick
2018	B	`conf`	The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. IJCNN Daniel Kottke, Adrian Calma, Denis Huseljic, Christoph Sandrock, George Kachergis, Bernhard Sick
2018	—	`conf`	Towards Cooperative Self-adapting Activity Recognition. PECCS Andreas Jahn, Sven Tomforde, Michel Morold, Klaus David, Bernhard Sick
2017	—	`conf`	Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. IAL@PKDD/ECML Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick
2017	—	`conf`	Cooperative starting intention detection of cyclists based on smart devices and infrastructure. ITSC Maarten Bieshaar, Stefan Zernetsch, Malte Depping, Bernhard Sick, Konrad Doll
2017	B	`conf`	Cyclists' starting behavior at intersections. Intelligent Vehicles Symposium Andreas Hubert, Stefan Zernetsch, Konrad Doll, Bernhard Sick
2017	—	`conf`	Dealing with Class Imbalance the Scalable Way: Evaluation of Various Techniques Based on Classification Grade and Computational Complexity. ICDM Workshops Bernhard Schlegel, Bernhard Sick
2017	—	`conf`	Identifying Representative Load Time Series for Load Flow Calculations. DARE@PKDD/ECML Janosch Henze, Tanja Kneiske, Martin Braun, Bernhard Sick
2017	—	`conf`	Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. FAS*W@SASO/ICCAC Adrian Calma, Daniel Kottke, Bernhard Sick, Sven Tomforde
2017	—	`conf`	Measuring Self-organisation at Runtime - A Quantification Method based on Divergence Measures. ICAART (1) Sven Tomforde, Jan Kantert, Bernhard Sick
2017	—	`conf`	Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. SSCI Jan Eilbrecht, Maarten Bieshaar, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Olaf Stursberg
2017	—	`conf`	On Methodological and Technological Challenges for Proactive Health Management in Smart Homes. ICIMTH Klaus-Hendrik Wolf, Tobias Dehling, Reinhold Haux, Bernhard Sick, Ali Sunyaev, Sven Tomforde
2017	J	`jnl`	Organic Computing in the Spotlight. CoRR Sven Tomforde, Bernhard Sick, Christian Müller-Schloer
2017	—	`conf`	Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating. SSCI Andre Gensler, Bernhard Sick
2017	—	`ed.`	Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick, Daniel Kottke, Adrian Calma
2017	—	`conf`	Quantitative Robustness - A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems. ICAART (1) Jan Kantert, Sven Tomforde, Christian Müller-Schloer, Sarah Edenhofer, Bernhard Sick
2017	J	`jnl`	Self-Adaptation of Activity Recognition Systems to New Sensors. CoRR David Bannach, Martin Jänicke, Vitor F. Rey, Sven Tomforde, Bernhard Sick, Paul Lukowicz
2017	—	`conf`	Simulation of Annotators for Active Learning: Uncertain Oracles. IAL@PKDD/ECML Adrian Calma, Bernhard Sick
2016	—	`conf`	A review of deterministic error scores and normalization techniques for power forecasting algorithms. SSCI Andre Gensler, Bernhard Sick, Stephan Vogt
2016	B	`conf`	An analog ensemble-based similarity search technique for solar power forecasting. SMC Andre Gensler, Bernhard Sick, Vitali Pankraz
2016	—	`conf`	Any problems? a wearable sensor-based platform for representational learning-analytics. UbiComp Adjunct Gerald Pirkl, Peter Hevesi, Paul Lukowicz, Pascal Klein, Carina Heisel, Sebastian Gröber, Jochen Kuhn, Bernhard Sick
2016	B	`conf`	Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM. IJCNN Sebastian Breker, Bernhard Sick
2016	—	`conf`	Coping with variability in motion based activity recognition. iWOAR Matthias Kreil, Bernhard Sick, Paul Lukowicz
2016	B	`conf`	Correlation of Ontology-Based Semantic Similarity and Human Judgement for a Domain Specific Fashion Ontology. ICWE Edgar Kalkowski, Bernhard Sick
2016	B	`conf`	Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks. SMC Andre Gensler, Janosch Henze, Bernhard Sick, Nils Raabe
2016	—	`conf`	Design and optimization of an autonomous feature selection pipeline for high dimensional, heterogeneous feature spaces. SSCI Bernhard Schlegel, Bernhard Sick
2016	J	`jnl`	Detecting Novel Processes with CANDIES - An Holistic Novelty Detection Technique based on Probabilistic Models. CoRR Christian Gruhl, Bernhard Sick
2016	B	`conf`	Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation. IJCNN Andre Gensler, Bernhard Sick
2016	—	`conf`	Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning. ICAC Gernot Bahle, Adrian Calma, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiss, Tobias Reitmaier, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Katharina Anna Zweig
2016	B	`conf`	Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. IJCNN Adrian Calma, Tobias Reitmaier, Bernhard Sick
2016	J	`jnl`	Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data. CoRR Tobias Reitmaier, Adrian Calma, Bernhard Sick
2016	J	`jnl`	Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers. CoRR Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
2016	—	`conf`	Towards Autonomous Self-Tests at Runtime. FAS*W@SASO/ICCAC Henner Heck, Stefan Rudolph, Christian Gruhl, Arno Wacker, Jörg Hähner, Bernhard Sick, Sven Tomforde
2016	—	`conf`	Towards Self-Improving Activity Recognition Systems Based on Probabilistic, Generative Models. ICAC Martin Jänicke, Sven Tomforde, Bernhard Sick
2016	J	`jnl`	Towards automation of knowledge understanding: An approach for probabilistic generative classifiers. Inf. Sci. Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
2016	B	`conf`	Trajectory prediction of cyclists using a physical model and an artificial neural network. Intelligent Vehicles Symposium Stefan Zernetsch, Sascha Kohnen, Michael Goldhammer, Konrad Doll, Bernhard Sick
2016	J	`jnl`	Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions. CoRR Christian Gruhl, Bernhard Sick
2015	—	`conf`	A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement. SASO Stefan Rudolph, Sven Tomforde, Bernhard Sick, Jörg Hähner
2015	J	`jnl`	A New Vision of Collaborative Active Learning. CoRR Adrian Calma, Tobias Reitmaier, Bernhard Sick, Paul Lukowicz
2015	—	`conf`	A Toolchain for Context Recognition: Automating the Investigation of a Multitude of Parameter Sets. VTC Fall Andreas Jahn, Sian Lun Lau, Klaus David, Bernhard Sick
2015	—	`conf`	A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection. iCAST Christian Gruhl, Bernhard Sick, Arno Wacker, Sven Tomforde, Jörg Hähner
2015	C	`conf`	Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions. TIME Andre Gensler, Thiemo Gruber, Bernhard Sick
2015	J	`jnl`	The Responsibility Weighted Mahalanobis Kernel for Semi-Supervised Training of Support Vector Machines for Classification. CoRR Tobias Reitmaier, Bernhard Sick
2015	J	`jnl`	The responsibility weighted Mahalanobis kernel for semi-supervised training of support vector machines for classification. Inf. Sci. Tobias Reitmaier, Bernhard Sick
2015	J	`jnl`	Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data. Inf. Sci. Tobias Reitmaier, Adrian Calma, Bernhard Sick
2015	B	`conf`	Using Ontology-Based Similarity Measures to Find Training Data for Problems with Sparse Data. SMC Edgar Kalkowski, Bernhard Sick
2014	—	`conf`	"Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems. SASO Workshops Sven Tomforde, Jörg Hähner, Sebastian von Mammen, Christian Gruhl, Bernhard Sick, Kurt Geihs
2014	—	`conf`	Analysis on termination of pedestrians' gait at urban intersections. ITSC Michael Goldhammer, Andreas Hubert, Sebastian Köhler, Klaus Zindler, Ulrich Brunsmann, Konrad Doll, Bernhard Sick
2014	—	`conf`	Dealing with human variability in motion based, wearable activity recognition. PerCom Workshops Matthias Kreil, Bernhard Sick, Paul Lukowicz
2014	—	`conf`	Engineering and Mastering Interwoven Systems. ARCS Workshops Sven Tomforde, Jörg Hähner, Hella Seebach, Wolfgang Reif, Bernhard Sick, Arno Wacker, Ingo Scholtes
2014	J	`jnl`	Interwoven Systems. Inform. Spektrum Sven Tomforde, Jörg Hähner, Bernhard Sick
2014	J	`jnl`	Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications. IEEE Trans. Knowl. Data Eng. Dominik Fisch, Edgar Kalkowski, Bernhard Sick
2014	—	`conf`	Location based learning of user behavior for proactive recommender systems in car comfort functions. GI-Jahrestagung Thomas Stone, Olga Birth, Andre Gensler, Andreas Huber, Martin Jänicke, Bernhard Sick
2014	—	`conf`	Novel Criteria to Measure Performance of Time Series Segmentation Techniques. LWA Andre Gensler, Bernhard Sick
2014	J	`jnl`	On general purpose time series similarity measures and their use as kernel functions in support vector machines. Inf. Sci. Helmuth Pree, Benjamin Herwig, Thiemo Gruber, Bernhard Sick, Klaus David, Paul Lukowicz
2014	B	`conf`	Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. ICPR Michael Goldhammer, Konrad Doll, Ulrich Brunsmann, Andre Gensler, Bernhard Sick
2014	—	`conf`	Self-Adapting Multi-sensor Systems: A Concept for Self-Improvement and Self-Healing Techniques. SASO Workshops Martin Jänicke, Bernhard Sick, Paul Lukowicz, David Bannach
2014	—	`conf`	Temporal data analytics based on eigenmotif and shape space representations of time series. ChinaSIP Andre Gensler, Bernhard Sick, Jens Willkomm
2013	—	`conf`	A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques. ARCS Workshops Jörg Hähner, Stefan Rudolph, Sven Tomforde, Dominik Fisch, Bernhard Sick, Nils Kopal, Arno Wacker
2013	—	`ed.`	Architecture of Computing Systems - ARCS 2013 - 26th International Conference, Prague, Czech Republic, February 19-22, 2013. Proceedings ARCS Hana Kubátová, Christian Hochberger, Martin Danek, Bernhard Sick
2013	—	`conf`	Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations. ICDM Workshops Andre Gensler, Thiemo Gruber, Bernhard Sick
2013	J	`jnl`	Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers. IEEE Trans. Evol. Comput. Paul Kaufmann, Kyrre Glette, Thiemo Gruber, Marco Platzner, Jim Tørresen, Bernhard Sick
2013	J	`jnl`	Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS. Inf. Sci. Tobias Reitmaier, Bernhard Sick
2012	B	`conf`	Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. IJCNN Mark J. Embrechts, Christopher J. Gatti, Jonathan D. Linton, Thiemo Gruber, Bernhard Sick
2012	J	`jnl`	Handedness tests for preschool children: A novel approach based on graphics tablets and support vector machines. Appl. Soft Comput. Thiemo Gruber, Britta Meixner, Johann Prosser, Bernhard Sick
2012	J	`jnl`	Learning from others: Exchange of classification rules in intelligent distributed systems. Artif. Intell. Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
2012	J	`jnl`	Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks CoRR Daniel Andrade, Bernhard Sick
2012	J	`jnl`	Techniques for knowledge acquisition in dynamically changing environments. ACM Trans. Auton. Adapt. Syst. Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
2011	C	`conf`	Active classifier training with the 3DS strategy. CIDM Tobias Reitmaier, Bernhard Sick
2011	—	`ch.`	Collaborative Learning by Knowledge Exchange. Organic Computing Dominik Fisch, Edgar Kalkowski, Bernhard Sick
2011	—	`ch.`	Divergence Measures as a Generalised Approach to Quantitative Emergence. Organic Computing Dominik Fisch, Martin Jänicke, Christian Müller-Schloer, Bernhard Sick
2011	—	`conf`	In Your Interest - Objective Interestingness Measures for a Generative Classifier. ICAART (1) Dominik Fisch, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska
2011	J	`jnl`	Online Intrusion Alert Aggregation with Generative Data Stream Modeling. IEEE Trans. Dependable Secur. Comput. Alexander Hofmann, Bernhard Sick
2011	J	`jnl`	SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis. IEEE Trans. Knowl. Data Eng. Dominik Fisch, Thiemo Gruber, Bernhard Sick
2010	—	`conf`	All for one or one for all? Combining heterogeneous features for activity spotting. PerCom Workshops Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lukowicz, Bernhard Sick, Thiemo Gruber
2010	—	`conf`	Novelty-Aware Attack Recognition - Intrusion Detection with Organic Computing Techniques. DIPES/BICC Dominik Fisch, Ferdinand Kastl, Bernhard Sick
2010	J	`jnl`	On the versatility of radial basis function neural networks: A case study in the field of intrusion detection. Inf. Sci. Dominik Fisch, Alexander Hofmann, Bernhard Sick
2010	J	`jnl`	Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations. IEEE Trans. Pattern Anal. Mach. Intell. Erich Fuchs, Thiemo Gruber, Jiri Nitschke, Bernhard Sick
2010	J	`jnl`	Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions. IEEE Trans. Syst. Man Cybern. Part B Christian Gruber, Thiemo Gruber, Sebastian Krinninger, Bernhard Sick
2010	—	`conf`	Quantitative Emergence -- A Refined Approach Based on Divergence Measures. SASO Dominik Fisch, Martin Jänicke, Bernhard Sick, Christian Müller-Schloer
2010	J	`jnl`	So near and yet so far: New insight into properties of some well-known classifier paradigms. Inf. Sci. Dominik Fisch, Bernhard Kühbeck, Bernhard Sick, Seppo J. Ovaska
2010	J	`jnl`	Temporal data mining using shape space representations of time series. Neurocomputing Erich Fuchs, Thiemo Gruber, Helmuth Pree, Bernhard Sick
2009	—	`conf`	Generating Shifting Workloads to Benchmark Adaptability in Relational Database Systems. TPCTC Tilmann Rabl, Andreas Lang, Thomas Hackl, Bernhard Sick, Harald Kosch
2009	—	`conf`	Learning by Teaching versus Learning by Doing: Knowledge Exchange in Organic Agent Systems. IEEE IA Dominik Fisch, Martin Jänicke, Edgar Kalkowski, Bernhard Sick
2009	A	`conf`	Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks. UAI Daniel Andrade, Bernhard Sick
2009	J	`jnl`	On-line motif detection in time series with SwiftMotif. Pattern Recognit. Erich Fuchs, Thiemo Gruber, Jiri Nitschke, Bernhard Sick
2009	J	`jnl`	Periodical switching between related goals for improving evolvability to a fixed goal in multi-objective problems. Inf. Sci. Seppo J. Ovaska, Bernhard Sick, Alden H. Wright
2009	J	`jnl`	Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks. IEEE Trans. Neural Networks Erich Fuchs, Christian Gruber, Tobias Reitmaier, Bernhard Sick
2009	J	`jnl`	Technical data mining with evolutionary radial basis function classifiers. Appl. Soft Comput. Markus Bauer, Oliver Buchtala, Timo Horeis, Ralf Kern, Bernhard Sick, Robert Wagner
2009	B	`conf`	Training of radial basis function classifiers with resilient propagation and variational Bayesian inference. IJCNN Dominik Fisch, Bernhard Sick
2008	—	`conf`	Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control. AHS Kyrre Glette, Jim Tørresen, Thiemo Gruber, Bernhard Sick, Paul Kaufmann, Marco Platzner
2008	—	`ch.`	Controlled Emergence and Self-Organization. Organic Computing Christian Müller-Schloer, Bernhard Sick
2008	J	`jnl`	Selected papers of the ARCS06 conference: an introduction. Pers. Ubiquitous Comput. Werner Grass, Bernhard Sick, Theo Ungerer, Klaus Waldschmidt
2007	C	`conf`	A Novelty-Driven Approach to Intrusion Alert Correlation Based on Distributed Hash Tables. ISCC Alexander Hofmann, Ivan Dedinski, Bernhard Sick, Hermann de Meer
2007	C	`conf`	A Source Routing Solution to Non-Transitive Connectivity Problems in Distributed Hash Tables. ISCC Ivan Dedinski, Andreas Berl, Alexander Hofmann, Sebastian Heglmeier, Bernhard Sick, Hermann de Meer
2007	C	`conf`	Basic Technologies for Knowledge Transfer in Intelligent Systems. ALIFE Oliver Buchtala, Bernhard Sick
2007	C	`conf`	Collaborative Knowledge Discovery & Data Mining: From Knowledge to Experience. CIDM Timo Horeis, Bernhard Sick
2007	—	`conf`	Cooperative Keep-Alives: An Efficient Outage Detection Algorithm for P2P Overlay Networks. Peer-to-Peer Computing Ivan Dedinski, Alexander Hofmann, Bernhard Sick
2007	J	`jnl`	Editorial. J. Syst. Archit. Klaus Waldschmidt, Jan Haase, Werner Grass, Bernhard Sick
2007	—	`conf`	Functional Knowledge Exchange Within an Intelligent Distributed System. ARCS Oliver Buchtala, Bernhard Sick
2007	J	`jnl`	Fusion of soft and hard computing: multi-dimensional categorization of computationally intelligent hybrid systems. Neural Comput. Appl. Bernhard Sick, Seppo J. Ovaska
2007	—	`conf`	Goodness of Fit: Measures for a Fuzzy Classifier. FOCI Oliver Buchtala, Bernhard Sick
2007	C	`conf`	Hazard Situation Prediction Using Spatially and Temporally Distributed Vehicle Sensor Information. CIDM Thomas Schon, Bernhard Sick, Markus Strassberger
2007	C	`conf`	Towards an Automated Analysis of Neuroleptics' Impact on Human Hand Motor Skills. CIBCB Matthias Dose, Christian Gruber, Ariane Grunz, Christian Hook, Jürgen Kempf, Georg Scharfenberg, Bernhard Sick
2006	—	`ed.`	Architecture of Computing Systems - ARCS 2006, 19th International Conference, Frankfurt/Main, Germany, March 13-16, 2006, Proceedings ARCS Werner Grass, Bernhard Sick, Klaus Waldschmidt
2006	C	`conf`	Emergence in Organic Computing Systems: Discussion of a Controversial Concept. ATC Christian Müller-Schloer, Bernhard Sick
2006	—	`conf`	Online Signature Verification with New Time Series Kernels for Support Vector Machines. ICB Christian Gruber, Thiemo Gruber, Bernhard Sick
2005	J	`jnl`	Evolutionary optimization of radial basis function classifiers for data mining applications. IEEE Trans. Syst. Man Cybern. Part B Oliver Buchtala, Manuel Klimek, Bernhard Sick
2004	B	`conf`	A comparison of first- and second-order training algorithms for dynamic neural networks. IJCNN Ferid Bajramovic, Christian Gruber, Bernhard Sick
2004	B	`conf`	Feature selection for intrusion detection: an evolutionary wrapper approach. IJCNN Alexander Hofmann, Timo Horeis, Bernhard Sick
2004	—	`ch.`	Indirect On-Line Tool Wear Monitoring. Computationally Intelligent Hybrid Systems Bernhard Sick
2003	B	`conf`	A strategy for an efficient training of radial basis function networks for classification applications. IJCNN Oliver Buchtala, Peter Neumann, Bernhard Sick
2003	B	`conf`	Architecture optimization of radial basis function networks with a combination of hard- and soft-computing techniques. SMC Manuel Klimek, Bernhard Sick
2003	B	`conf`	Calibration of self-organizing maps for classification tasks. SMC Claudia Bach, Stefan Bredl, Wolfgang Kossa, Bernhard Sick
2003	C	`conf`	Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application. ICANN Peter Neumann, Bernhard Sick, Dirk Arndt, Wendy Gersten
2003	B	`conf`	Evolutionary optimization of radial basis function networks for intrusion detection. IJCNN Alexander Hofmann, Bernhard Sick
2003	C	`conf`	Fast and Efficient Training of RBF Networks. ICANN Oliver Buchtala, Alexander Hofmann, Bernhard Sick
2003	B	`conf`	Fast and efficient second-order training of the dynamic neural network paradigm. IJCNN Christian Gruber, Bernhard Sick
2003	C	`conf`	Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers. ICANN Alexander Hofmann, Carsten Schmitz, Bernhard Sick
2003	B	`conf`	Processing short-term and long-term information with a combination of hardand soft-computing techniques. SMC Christian Gruber, Bernhard Sick
2003	B	`conf`	Rule extraction from neural networks for intrusion detection in computer networks. SMC Alexander Hofmann, Carsten Schmitz, Bernhard Sick
2002	J	`jnl`	Fusion of hard and soft computing techniques in indirect, online tool wear monitoring. IEEE Trans. Syst. Man Cybern. Part C Bernhard Sick
2002	—	`conf`	Towards a Specification Technique for Component-Based Measurement and Control Software for Embedded Systems. EUROMICRO Walter Maydl, Bernhard Sick, Werner Grass
2000	—	`conf`	Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case Study. IJCNN (6) Walter Maydl, Bernhard Sick
1999	J	`jnl`	Multisensorfusion bei der Verarbeitung mikrosystembasierter Signale. Informationstechnik Tech. Inform. Bernhard Sick, Werner Grass, Klaus Donner
1999	—	`ch.`	Signalinterpretation mit Neuronalen Netzen unter Nutzung von modellbasiertem Nebenwissen am Beispiel der Verschleißüberwachung von Werkzeugen in CNC-Drehmaschinen. Ausgezeichnete Informatikdissertationen Bernhard Sick
1999	—	`—`	Signalinterpretation mit neuronalen Netzen unter Nutzung von modellbasiertem Nebenwissen am Beispiel der Verschleißüberwachung von Werkzeugen in CNC-Drehmaschinen. Bernhard Sick
1998	Misc	`conf`	A framework for the graphical specification and execution of complex signal processing applications. ICASSP Andreas Sicheneder, Armin Bender, Erich Fuchs, Roland Mandl, Bernhard Sick
1998	J	`jnl`	On-line tool wear monitoring in turning using neural networks. Neural Comput. Appl. Bernhard Sick
1998	Misc	`conf`	Online tool wear monitoring in turning using time-delay neural networks. ICASSP Bernhard Sick
1997	C	`conf`	Classifying the Wear of Turning Tools with Neural Networks. ICANN Bernhard Sick
1997	Misc	`conf`	Monitoring the wear of cutting tools in CNC-lathes with artificial neural networks. ICASSP Bernhard Sick
1997	Misc	`conf`	The FFT butterfly operation in 4 processor cycles on a 24 bit fixed-point DSP with a pipelined multiplier. ICASSP Martin Grajcar, Bernhard Sick