Bernhard Sick

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 213

Top Venues

Universität Passau (PHD)

Education History

Universität Passau

PHD

Publications

Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in Solving Mesh-Based PDEs. ARCS (2024)
René Heinrich, Bernhard Sick, Christoph Scholz
AudioProtoPNet: An interpretable deep learning model for bird sound classification. CoRR (2024)
Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. ARCS (2024)
Mohamed Hassouna, Clara Holzhüter, Pawel Lytaev, Josephine M. Thomas, Bernhard Sick, Christoph Scholz
Graph Reinforcement Learning in Power Grids: A Survey. CoRR (2024)
Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification. CoRR (2024)
Zhixin Huang, Yujiang He, Bernhard Sick
Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction. CoRR (2024)
Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans. CoRR (2024)
Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension. CoRR (2024)
Martin Braun, Christian Gruhl, Christian A. Hans, Philipp Härtel, Christoph Scholz, Bernhard Sick, Malte Siefert, Florian Steinke, Olaf Stursberg, Sebastian Wende-von Berg
Predictions and Decision Making for Resilient Intelligent Sustainable Energy Systems. CoRR (2024)
Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz
BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics. CoRR (2024)
Denis Huseljic, Marek Herde, Yannick Nagel, Lukas Rauch, Paulius Strimaitis, Bernhard Sick
The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification. Trans. Mach. Learn. Res. 2024 (2024)
Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. CoRR (2024)
Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz
Towards Deep Active Learning in Avian Bioacoustics. CoRR (2024)
Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. CoRR (2024)
Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar, Bernhard Sick
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation. CoRR (2024)
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization. CoRR (2023)
Tuan Pham Minh, Jayan Wijesingha, Daniel Kottke, Marek Herde, Denis Huseljic, Bernhard Sick, Michael Wachendorf, Thomas Esch
Active Label Refinement for Semantic Segmentation of Satellite Images. CoRR (2023)
Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick
Sensor Equivariance by LiDAR Projection Images. IV (2023)
Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick
Height Change Feature Based Free Space Detection. CoRR (2023)
Markus Eider, Bernhard Sick, Andreas Berl
Context-aware recommendations for extended electric vehicle battery lifetime. Sustain. Comput. Informatics Syst. 37 (2023)
Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. IV (2023)
Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) (2023)
Zhixin Huang, Yujiang He, Marek Herde, Denis Huseljic, Bernhard Sick
Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets. IAL@PKDD/ECML (2023)
Chandana Priya Nivarthi, Bernhard Sick
Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. ICMLA (2023)
Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
Smart Infrastructure: A Research Junction. CoRR (2023)
Christian Gruhl, Bernhard Sick
Self- Integration and Agent Compatibility. ACSOS-C (2023)
Viktor Kress, Fabian Jeske, Stefan Zernetsch, Konrad Doll, Bernhard Sick
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories. IEEE Trans. Intell. Veh. 8 (3) (2023)
Denis Huseljic, Marek Herde, Paul Hahn, Bernhard Sick
Role of Hyperparameters in Deep Active Learning. IAL@PKDD/ECML (2023)
Marek Herde, Denis Huseljic, Bernhard Sick, Ulrich Bretschneider, Sarah Oeste-Reiß
Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning. IAL@PKDD/ECML (2023)
Birk Martin Magnussen, Claudius Stern, Bernhard Sick
Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning. CIIS (2023)
Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. CoRR (2023)
Marek Herde, Denis Huseljic, Bernhard Sick
Multi-annotator Deep Learning: A Probabilistic Framework for Classification. CoRR (2023)
Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick
Height Change Feature Based Free Space Detection. ICCMA (2023)
Florian Heidecker, Tobias Susetzky, Erich Fuchs, Bernhard Sick
Context Information for Corner Case Detection in Highly Automated Driving. ITSC (2023)
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
DADO - Low-Cost Query Strategies for Deep Active Design Optimization. ICMLA (2023)
Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick
Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. CoRR (2023)
Diego Botache, Kristina Dingel, Rico Huhnstock, Arno Ehresmann, Bernhard Sick
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis. CoRR (2023)
Marek Herde, Denis Huseljic, Bernhard Sick
Multi-annotator Deep Learning: A Probabilistic Framework for Classification. Trans. Mach. Learn. Res. 2023 (2023)
Florian Heidecker, Ahmad El-Khateeb, Bernhard Sick
Sampling-based Uncertainty Estimation for an Instance Segmentation Network. CoRR (2023)
Jens Decke, Olaf Wünsch, Bernhard Sick
Dataset of a parameterized U-bend flow for Deep Learning Applications. CoRR (2023)
Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick
Sensor Equivariance by LiDAR Projection Images. CoRR (2023)
Lukas Rauch, Raphael Schwinger, Moritz Wirth, Bernhard Sick, Sven Tomforde, Christoph Scholz
Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers. CoRR (2023)
Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. ECML/PKDD (1) (2023)
Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. IAL@PKDD/ECML (2023)
Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick
Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions. Mach. Learn. Knowl. Extr. 5 (3) (2023)
Manuel Hetzel, Hannes Reichert, Günther Reitberger, Erich Fuchs, Konrad Doll, Bernhard Sick
The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset. CoRR (2023)
Christoph Sandrock, Marek Herde, Daniel Kottke, Bernhard Sick
Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. DS (2023)
Claude Draude, Christian Gruhl, Gerrit Hornung, Jonathan Kropf, Jörn Lamla, Jan Marco Leimeister, Bernhard Sick, Gerd Stumme
Social Machines. Inform. Spektrum 45 (1) (2022)
Marek Herde, Denis Huseljic, Jelena Mitrovic, Michael Granitzer, Bernhard Sick
A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning. IAL@PKDD/ECML (2022)
Daniel Kottke, Christoph Sandrock, Georg Krempl, Bernhard Sick
A Stopping Criterion for Transductive Active Learning. ECML/PKDD (4) (2022)
Jens Schreiber, Bernhard Sick
Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies. CoRR (2022)
Marek Herde, Zhixin Huang, Denis Huseljic, Daniel Kottke, Stephan Vogt, Bernhard Sick
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning. CoRR (2022)
Jens Schreiber, Stephan Vogt, Bernhard Sick
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series Forecast. CoRR (2022)
Yujiang He, Zhixin Huang, Bernhard Sick
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning. CoRR (2022)
Christian Krupitzer, Christian Gruhl, Bernhard Sick, Sven Tomforde
Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario. Inf. Softw. Technol. 145 (2022)
Christian Gruhl, Sven Tomforde, Bernhard Sick
Self-Aware Microsystems. ACSOS-C (2022)
Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm
Efficient SVDD sampling with approximation guarantees for the decision boundary. Mach. Learn. 111 (4) (2022)
Lukas Rauch, Denis Huseljic, Bernhard Sick
Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources. IAL@PKDD/ECML (2022)
Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting. ICMLA (2022)
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. CoRR (2022)
Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection. IV (2022)
Tuan Pham, Daniel Kottke, Georg Krempl, Bernhard Sick
Stream-based active learning for sliding windows under the influence of verification latency. Mach. Learn. 111 (6) (2022)
Tobias Westmeier, Diego Botache, Maarten Bieshaar, Bernhard Sick
Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches. DSAA (2022)
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving. SSCI (2022)
Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl
NDNET: A Unified Framework for Anomaly and Novelty Detection. ARCS (2022)
Denis Huseljic, Marek Herde, Mehmet Muejde, Bernhard Sick
A Review of Uncertainty Calibration in Pretrained Object Detectors. CoRR (2022)
Stephan Vogt, Jens Schreiber, Bernhard Sick
Synthetic Photovoltaic and Wind Power Forecasting Data. CoRR (2022)
Jan Schneegans, Maarten Bieshaar, Bernhard Sick
A Practical Evaluation of Active Learning Approaches for Object Detection. IAL@PKDD/ECML (2022)
Diego Botache, Florian Bethke, Martin Hardieck, Maarten Bieshaar, Ludwig Brabetz, Mohamed Ayeb, Peter Zipf, Bernhard Sick
Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands. ACSOS (2021)
Yujiang He, Zhixin Huang, Bernhard Sick
Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. IJCNN (2021)
Inga Löser, Martin Braun, Christian Gruhl, Jan-Hendrik Menke, Bernhard Sick, Sven Tomforde
Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management. CoRR (2021)
Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders. CVPR Workshops (2021)
Jan Schneegans, Jan Eilbrecht, Stefan Zernetsch, Maarten Bieshaar, Konrad Doll, Olaf Stursberg, Bernhard Sick
Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists. IV Workshops (2021)
Sarah Oeste-Reiß, Eva A. C. Bittner, Izabel Cvetkovic, Andreas Günther, Jan Marco Leimeister, Lucas Memmert, Anja Ott, Bernhard Sick, Kathrin Wolter
Hybride Wissensarbeit. Inform. Spektrum 44 (3) (2021)
Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. IEEE Access 9 (2021)
Abdul Hannan, Christian Gruhl, Bernhard Sick
Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders. CSR (2021)
Kristina Dingel, A. Liehr, M. Vogel, S. Degener, David Meier, Thoralf Niendorf, Arno Ehresmann, Bernhard Sick
AI - Based On The Fly Design of Experiments in Physics and Engineering. ACSOS-C (2021)
Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. CoRR (2021)
Zhixin Huang, Yujiang He, Stephan Vogt, Bernhard Sick
Uncertainty and Utility Sampling with Pre-Clustering. IAL@PKDD/ECML (2021)
Maarten Bieshaar, Stefan Zernetsch, Katharina Riepe, Konrad Doll, Bernhard Sick
Cyclist Motion State Forecasting - Going beyond Detection. SSCI (2021)
Maarten Bieshaar, Marek Herde, Denis Huseljic, Bernhard Sick
A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving. IAL@PKDD/ECML (2021)
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. CoRR (2021)
Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. ISC2 (2021)
Kristina Dingel, Rico Huhnstock, André Knie, Arno Ehresmann, Bernhard Sick
AdaPT: Adaptable Particle Tracking for spherical microparticles in lab on chip systems. Comput. Phys. Commun. 262 (2021)
Marek Herde, Denis Huseljic, Bernhard Sick, Adrian Calma
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification. CoRR (2021)
Matthias Reuse, Martin Simon, Bernhard Sick
About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving. ICCVW (2021)
Christian Gruhl, Bernhard Sick, Sven Tomforde
Novelty detection in continuously changing environments. Future Gener. Comput. Syst. 114 (2021)
Yujiang He, Bernhard Sick
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks. CoRR (2021)
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
Toward optimal probabilistic active learning using a Bayesian approach. Mach. Learn. 110 (6) (2021)
Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information. CoRR (2021)
Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
Smart Infrastructure: A Research Junction. ISC2 (2021)
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IV (2021)
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW (2021)
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR (2021)
Stefan Zernetsch, Hannes Reichert, Viktor Kress, Konrad Doll, Bernhard Sick
Cyclist Intention Detection: A Probabilistic Approach. CoRR (2021)
Jens Schreiber, Stephan Vogt, Bernhard Sick
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast. ECML/PKDD (4) (2021)
Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. ISC2 (2021)
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
Toward AI-enhanced online-characterization and shaping of ultrashort X-ray free-electron laser pulses. CoRR (2021)
Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick
Probabilistic Active Learning for Active Class Selection. CoRR (2021)
Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bernhard Sick