| 2026 | ICPR | Beyond Visual Appearance: Retrieval-Based Validation of Object Detectors via OOD Knowledge Bases. | Mohamed Sabry Moustafa, Maarten Bieshaar, Andreas Albrecht, Bernhard Sick |
| 2025 | CogSIMA | Towards Cognitive Situational Awareness in Maritime Traffic Using Federated Evidential Learning. | Shang Gao, Zhixin Huang, Ghassan Al-Falouji, Bernhard Sick, Sven Tomforde |
| 2025 | ICLR | BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics. | Lukas Rauch, Raphael Schwinger, Moritz Wirth, Ren Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde, Christoph Scholz |
| 2025 | ICPRAM | A Concept for Requirements-Driven Identification and Mitigation of Dataset Gaps for Perception Tasks in Automated Driving. | Mohamed Sabry Moustafa, Maarten Bieshaar, Andreas Albrecht, Bernhard Sick |
| 2024 | CVPR | Sensor Equivariance: A Framework for Semantic Segmentation with Diverse Camera Models. | Hannes Reichert, Manuel Hetzel, Andreas Hubert, Konrad Doll, Bernhard Sick |
| 2024 | ECAI | Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension. | Marek Herde, Lukas Lhrs, Denis Huseljic, Bernhard Sick |
| 2024 | ECCV | Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. | Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick |
| 2024 | ICPR | Time-Series Representation Learning via Heterogeneous Spatial-Temporal Contrasting for Remaining Useful Life Prediction. | Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Bernhard Sick, Christian Gruhl |
| 2024 | IJCNN | Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction. | Zhixin Huang, Yujiang He, Chandana Priya Nivarthi, Christian Gruhl, Bernhard Sick |
| 2024 | IJCNN | Multi-Task Representation Learning with Temporal Attention for Zero-Shot Time Series Anomaly Detection. | Chandana Priya Nivarthi, Zhixin Huang, Christian Gruhl, Bernhard Sick |
| 2023 | DIS | Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. | Christoph Sandrock, Marek Herde, Daniel Kottke, Bernhard Sick |
| 2023 | ICMLA | DADO - Low-Cost Query Strategies for Deep Active Design Optimization. | Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick |
| 2023 | ICMLA | Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. | Chandana Priya Nivarthi, Bernhard Sick |
| 2022 | DSAA | Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches. | Tobias Westmeier, Diego Botache, Maarten Bieshaar, Bernhard Sick |
| 2022 | ICMLA | Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting. | Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick |
| 2021 | CVPR | Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders. | Felix Mller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick |
| 2021 | IJCNN | Toward Application of Continuous Power Forecasts in a Regional Flexibility Market. | Yujiang He, Zhixin Huang, Bernhard Sick |
| 2020 | CVPR | Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. | Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jrgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide |
| 2020 | FUSION | Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? | Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jrgen Dickmann, Bernhard Sick |
| 2020 | ICPR | Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning. | Christian Haase-Schtz, Rainer Stal, Heinz Hertlein, Bernhard Sick |
| 2020 | ICPR | Novelty Based Driver Identification on RR Intervals from ECG Data. | Florian Heidecker, Christian Gruhl, Bernhard Sick |
| 2020 | ICPR | Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. | Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick |
| 2020 | ICPR | Multi-Annotator Probabilistic Active Learning. | Marek Herde, Daniel Kottke, Denis Huseljic, Bernhard Sick |
| 2020 | ICPR | Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks. | Denis Huseljic, Bernhard Sick, Marek Herde, Daniel Kottke |
| 2020 | ICPR | Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. | Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick |
| 2020 | IJCNN | Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. | Yujiang He, Janosch Henze, Bernhard Sick |
| 2020 | ICPR | Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks. | Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick |
| 2020 | ICPR | Emerging Relation Network and Task Embedding for Multi-Task Regression Problems. | Jens Schreiber, Bernhard Sick |
| 2020 | ICPR | Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution. | Stefan Zernetsch, Steven Schreck, Viktor Kress, Konrad Doll, Bernhard Sick |
| 2020 | IJCNN | Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. | Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick |
| 2019 | GI | Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition. | Diego Botache, Dandan Liu, Maarten Bieshaar, Bernhard Sick |
| 2019 | GI | Using grid supporting flexibility in electricity distribution networks. | Immanuel Knig, Erik Heilmann, Janosch Henze, Klaus David, Heike Wetzel, Bernhard Sick |
| 2019 | GI | Start Intention Detection of Cyclists using an LSTM Network. | Viktor Kress, Janis Jung, Stefan Zernetsch, Konrad Doll, Bernhard Sick |
| 2019 | GI | Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. | Jens Schreiber, Artjom Buschin, Bernhard Sick |
| 2019 | ICANN | Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. | Jens Schreiber, Maik Jessulat, Bernhard Sick |
| 2019 | IJCNN | Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. | Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick |
| 2018 | DSAA | Starting Movement Detection of Cyclists Using Smart Devices. | Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick |
| 2018 | ICAART | Hijacked Smart Devices - Methodical Foundations for Autonomous Theft Awareness based on Activity Recognition and Novelty Detection. | Martin Jnicke, Viktor Schmidt, Bernhard Sick, Sven Tomforde, Paul Lukowicz |
| 2018 | ICAART | Smart Device Stealing and CANDIES. | Martin Jnicke, Viktor Schmidt, Bernhard Sick, Sven Tomforde, Paul Lukowicz, Jrn Schmeiing |
| 2018 | IJCNN | Active Learning With Realistic Data - A Case Study. | Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick |
| 2018 | IJCNN | Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. | Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick |
| 2018 | IJCNN | The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. | Daniel Kottke, Adrian Calma, Denis Huseljic, Christoph Sandrock, George Kachergis, Bernhard Sick |
| 2017 | ICAART | Quantitative Robustness - A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems. | Jan Kantert, Sven Tomforde, Christian Mller-Schloer, Sarah Edenhofer, Bernhard Sick |
| 2017 | ICAART | Measuring Self-organisation at Runtime - A Quantification Method based on Divergence Measures. | Sven Tomforde, Jan Kantert, Bernhard Sick |
| 2017 | ICDM | Dealing with Class Imbalance the Scalable Way: Evaluation of Various Techniques Based on Classification Grade and Computational Complexity. | Bernhard Schlegel, Bernhard Sick |
| 2016 | IJCNN | Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM. | Sebastian Breker, Bernhard Sick |
| 2016 | IJCNN | Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data. | Adrian Calma, Tobias Reitmaier, Bernhard Sick |
| 2016 | IJCNN | Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation. | Andre Gensler, Bernhard Sick |
| 2016 | ICWE | Correlation of Ontology-Based Semantic Similarity and Human Judgement for a Domain Specific Fashion Ontology. | Edgar Kalkowski, Bernhard Sick |
| 2016 | SMC | Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks. | Andre Gensler, Janosch Henze, Bernhard Sick, Nils Raabe |
| 2016 | SMC | An analog ensemble-based similarity search technique for solar power forecasting. | Andre Gensler, Bernhard Sick, Vitali Pankraz |
| 2015 | VTC | A Toolchain for Context Recognition: Automating the Investigation of a Multitude of Parameter Sets. | Andreas Jahn, Sian Lun Lau, Klaus David, Bernhard Sick |
| 2015 | SMC | Using Ontology-Based Similarity Measures to Find Training Data for Problems with Sparse Data. | Edgar Kalkowski, Bernhard Sick |
| 2015 | TIME | Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions. | Andre Gensler, Thiemo Gruber, Bernhard Sick |
| 2014 | GI | Location based learning of user behavior for proactive recommender systems in car comfort functions. | Thomas Stone, Olga Birth, Andre Gensler, Andreas Huber, Martin Jnicke, Bernhard Sick |
| 2014 | ICPR | Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. | Michael Goldhammer, Konrad Doll, Ulrich Brunsmann, Andre Gensler, Bernhard Sick |
| 2014 | PERCOM | Dealing with human variability in motion based, wearable activity recognition. | Matthias Kreil, Bernhard Sick, Paul Lukowicz |
| 2013 | ICDM | Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations. | Andre Gensler, Thiemo Gruber, Bernhard Sick |
| 2012 | IJCNN | Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. | Mark J. Embrechts, Christopher J. Gatti, Jonathan D. Linton, Thiemo Gruber, Bernhard Sick |
| 2011 | CIDM | Active classifier training with the 3DS strategy. | Tobias Reitmaier, Bernhard Sick |
| 2011 | ICAART | In Your Interest - Objective Interestingness Measures for a Generative Classifier. | Dominik Fisch, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska |
| 2010 | PERCOM | All for one or one for all? Combining heterogeneous features for activity spotting. | Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lukowicz, Bernhard Sick, Thiemo Gruber |
| 2009 | IJCNN | Training of radial basis function classifiers with resilient propagation and variational Bayesian inference. | Dominik Fisch, Bernhard Sick |
| 2009 | UAI | Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks. | Daniel Andrade, Bernhard Sick |
| 2007 | CIBCB | Towards an Automated Analysis of Neuroleptics' Impact on Human Hand Motor Skills. | Matthias Dose, Christian Gruber, Ariane Grunz, Christian Hook, Jrgen Kempf, Georg Scharfenberg, Bernhard Sick |
| 2007 | CIDM | Collaborative Knowledge Discovery & Data Mining: From Knowledge to Experience. | Timo Horeis, Bernhard Sick |
| 2007 | CIDM | Hazard Situation Prediction Using Spatially and Temporally Distributed Vehicle Sensor Information. | Thomas Schon, Bernhard Sick, Markus Strassberger |
| 2007 | ISCC | A Source Routing Solution to Non-Transitive Connectivity Problems in Distributed Hash Tables. | Ivan Dedinski, Andreas Berl, Alexander Hofmann, Sebastian Heglmeier, Bernhard Sick, Hermann de Meer |
| 2007 | ISCC | A Novelty-Driven Approach to Intrusion Alert Correlation Based on Distributed Hash Tables. | Alexander Hofmann, Ivan Dedinski, Bernhard Sick, Hermann de Meer |
| 2006 | ATC | Emergence in Organic Computing Systems: Discussion of a Controversial Concept. | Christian Mller-Schloer, Bernhard Sick |
| 2004 | IJCNN | A comparison of first- and second-order training algorithms for dynamic neural networks. | Ferid Bajramovic, Christian Gruber, Bernhard Sick |
| 2004 | IJCNN | Feature selection for intrusion detection: an evolutionary wrapper approach. | Alexander Hofmann, Timo Horeis, Bernhard Sick |
| 2003 | ICANN | Fast and Efficient Training of RBF Networks. | Oliver Buchtala, Alexander Hofmann, Bernhard Sick |
| 2003 | ICANN | Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers. | Alexander Hofmann, Carsten Schmitz, Bernhard Sick |
| 2003 | ICANN | Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application. | Peter Neumann, Bernhard Sick, Dirk Arndt, Wendy Gersten |
| 2003 | IJCNN | A strategy for an efficient training of radial basis function networks for classification applications. | Oliver Buchtala, Peter Neumann, Bernhard Sick |
| 2003 | IJCNN | Fast and efficient second-order training of the dynamic neural network paradigm. | Christian Gruber, Bernhard Sick |
| 2003 | IJCNN | Evolutionary optimization of radial basis function networks for intrusion detection. | Alexander Hofmann, Bernhard Sick |
| 2003 | SMC | Calibration of self-organizing maps for classification tasks. | Claudia Bach, Stefan Bredl, Wolfgang Kossa, Bernhard Sick |
| 2003 | SMC | Processing short-term and long-term information with a combination of hardand soft-computing techniques. | Christian Gruber, Bernhard Sick |
| 2003 | SMC | Rule extraction from neural networks for intrusion detection in computer networks. | Alexander Hofmann, Carsten Schmitz, Bernhard Sick |
| 2003 | SMC | Architecture optimization of radial basis function networks with a combination of hard- and soft-computing techniques. | Manuel Klimek, Bernhard Sick |
| 2000 | IJCNN | Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case Study. | Walter Maydl, Bernhard Sick |
| 1998 | ICASSP | A framework for the graphical specification and execution of complex signal processing applications. | Andreas Sicheneder, Armin Bender, Erich Fuchs, Roland Mandl, Bernhard Sick |
| 1998 | ICASSP | Online tool wear monitoring in turning using time-delay neural networks. | Bernhard Sick |
| 1997 | ICANN | Classifying the Wear of Turning Tools with Neural Networks. | Bernhard Sick |
| 1997 | ICASSP | The FFT butterfly operation in 4 processor cycles on a 24 bit fixed-point DSP with a pipelined multiplier. | Martin Grajcar, Bernhard Sick |
| 1997 | ICASSP | Monitoring the wear of cutting tools in CNC-lathes with artificial neural networks. | Bernhard Sick |