Marco F. Huber

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios Using Procedural Knowledge.

[BibT_eX]

[DOI]

Patrick Takenaka

Johannes Maucher

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Causal Knowledge in Data Fusion Subject to Latent Confounding and Measurement Error.

[BibT_eX]

[DOI]

Jingyi Yu

Tim Pychynski

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

Auto-sktime: Automated Time Series Forecasting.

[BibT_eX]

[DOI]

Marius Lindauer

Proceedings of the Learning and Intelligent Optimization - 18th International Conference, 2024

Enabling Maintainablity of Robot Programs in Assembly by Extracting Compositions of Force- and Position-Based Robot Skills from Learning-from-Demonstration Models.

[BibT_eX]

[DOI]

Daniel Bargmann

Werner Kraus

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

Tobias Nagel

Proceedings of the International Joint Conference on Neural Networks, 2024

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Causal Knowledge in Data Fusion: Systematic Evaluation on Quality Prediction and Root Cause Analysis.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Information Fusion, 2024

Trustworthy Bayesian Perceptrons.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Information Fusion, 2024

Probabilistic Global Robustness Verification of Arbitrary Supervised Machine Learning Models.

[BibT_eX]

[DOI]

Max-Lion Schumacher

Proceedings of the 27th International Conference on Information Fusion, 2024

Encoding Machine Phase Information into Heterogeneous Graphs for Adaptive Fault Diagnosis.

[BibT_eX]

[DOI]

Maximilian-Peter Radtke

Jürgen Bock

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

Data-Efficient Uncertainty-Guided Model-Based Reinforcement Learning with Unscented Kalman Bayesian Neural Networks.

[BibT_eX]

[DOI]

Xinyang Wu

Elisabeth Wedernikow

Proceedings of the American Control Conference, 2024

2023

XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., December, 2023

Merging Explainable AI into Automotive Software Development.

[BibT_eX]

[DOI]

Danilo Brajovic

ERCIM News, 2023

Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development.

[BibT_eX]

[DOI]

Danilo Brajovic

Niclas Renner

Vincent Philipp Goebels

CoRR, 2023

Optimizing CAD Models with Latent Space Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

Automated Machine Learning for Remaining Useful Life Predictions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Self-Supervised Optimization of Hand Pose Estimation Using Anatomical Features and Iterative Learning.

[BibT_eX]

[DOI]

Christian Jauch

Timo Leitritz

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

IPA-3D1K: A Large Retail 3D Model Dataset for Robot Picking.

[BibT_eX]

[DOI]

IROS, 2023

Cut Interruption Detection in the Laser Cutting Process Using ROCKET on Audio Signals.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision Systems: 14th International Conference, 2023

Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Guiding Video Prediction with Explicit Procedural Knowledge.

[BibT_eX]

[DOI]

Patrick Takenaka

Johannes Maucher

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Artificial Neural Network Guided Compensation of Nonlinear Payload and Wear Effects for Industrial Robots.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Kalman Bayesian Neural Networks for Closed-Form Online Learning.

[BibT_eX]

[DOI]

Philipp Wagner

Xinyang Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2022

Validation of XAI explanations for multivariate time series classification in the maritime domain.

[BibT_eX]

[DOI]

J. Comput. Sci., 2022

A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules.

[BibT_eX]

[DOI]

CoRR, 2022

XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2022

Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods.

[BibT_eX]

[DOI]

CoRR, 2022

Explainable AI: introducing trust and comprehensibility to AI engineering.

[BibT_eX]

[DOI]

Danilo Brajovic

Autom., 2022

Cooperation of Human and Active Learning based AI for Fast and Precise Complaint Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Transfer Learning for Machine Learning-based Detection and Separation of Entanglements in Bin-Picking Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Simulation-based Learning of the Peg-in-Hole Process Using Robot-Skills.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Mixture of Decision Trees for Interpretable Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

A MIMO Radar-based Few-Shot Learning Approach for Human-ID.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

GLIR: A Practical Global-local Integrated Reactive Planner towards Safe Human-Robot Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

Kalman-Bucy-Informed Neural Network for System Identification.

[BibT_eX]

[DOI]

Tobias Nagel

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks.

[BibT_eX]

[DOI]

Sensors, 2021

Benchmark and Survey of Automated Machine Learning Frameworks.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

A Survey on the Explainability of Supervised Machine Learning.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

Are you sure? Prediction revision in automated decision-making.

[BibT_eX]

[DOI]

Sebastian Robert

Expert Syst. J. Knowl. Eng., 2021

A MIMO Radar-Based Metric Learning Approach for Activity Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Unobstructed Programming-by-Demonstration for Force-Based Assembly Utilizing External Force-Torque Sensors.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers.

[BibT_eX]

[DOI]

Kilian Kleeberger

Jonathan Schnitzler

Muhammad Usman Khalid

Richard Bormann

Werner Kraus

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems.

[BibT_eX]

[DOI]

Raphael Lamprecht

Ferdinand Wurst

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Incremental Search Space Construction for Machine Learning Pipeline Synthesis.

[BibT_eX]

[DOI]

Tien-Dung Nguyen

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards Measuring Bias in Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Automatic Grasp Pose Generation for Parallel Jaw Grippers.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Autonomous Systems 16, 2021

DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Autoencoder-Inspired Identification of LTI Systems.

[BibT_eX]

[DOI]

Tobias Nagel

Proceedings of the 2021 European Control Conference, 2021

A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Reinforcement Learning based Optimization of Bayesian Networks for Generating Feasible Vehicle Configuration Suggestions.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Generating a Hand Pose Data Set for Vision Based Manual Assembly Assistance Systems.

[BibT_eX]

[DOI]

Christian Jauch

Julia Denecke

Proceedings of the 3D Imaging and Applications 2021, online, January 11-28, 2021, 2021

2020

Supported Decision-Making by Explainable Predictions of Ship Trajectories.

[BibT_eX]

[DOI]

Mathias Anneken

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Batch-wise Regularization of Deep Neural Networks for Interpretability.

[BibT_eX]

[DOI]

Philipp Michael Faller

Elisabeth Peinsipp

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Single Shot 6D Object Pose Estimation.

[BibT_eX]

[DOI]

Kilian Kleeberger

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Bayesian Perceptron: Towards fully Bayesian Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Survey on Automated Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization.

[BibT_eX]

[DOI]

Nina Schaaf

CoRR, 2019

A Study on Trust in Black Box Models and Post-hoc Explanations.

[BibT_eX]

[DOI]

Nadia El Bekri

Jasmin Kling

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking.

[BibT_eX]

[DOI]

Kilian Kleeberger

Christian Landgraf

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Gaussian Process based Dynamic Facial Emotion Tracking.

[BibT_eX]

[DOI]

Patrick Dunau

Jürgen Beyerer

Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization.

[BibT_eX]

[DOI]

Nina Schaaf

Johannes Maucher

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization.

[BibT_eX]

[DOI]

Phillip Faller

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Deep Workpiece Region Segmentation for Bin Picking.

[BibT_eX]

[DOI]

Muhammad Usman Khalid

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems.

[BibT_eX]

[DOI]

Marcus Baum

IEEE Trans. Ind. Informatics, 2018

Linear programming based time lag identification in event sequences.

[BibT_eX]

[DOI]

Marc-Andre Zoller

Marcus Baum

Autom., 2018

Reduced Feature Set for Emotion Recognition Based on Angle and Size Information.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Autonomous Systems 15, 2018

Retrodiction of Data Association Probabilities via Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Information Fusion, 2018

Comparison of Angle and Size Features with Deep Learning for Emotion Recognition.

[BibT_eX]

[DOI]

Patrick Dunau

Jürgen Beyerer

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017

Conditional anomaly detection in event streams.

[BibT_eX]

[DOI]

Autom., 2017

Framework for mining event correlations and time lags in large event sequences.

[BibT_eX]

[DOI]

Marc-Andre Zoller

Marcus Baum

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

2016

Bayesian score level fusion for facial recognition.

[BibT_eX]

[DOI]

Nikolaos Frangiadakis

Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Big data architecture for the semantic analysis of complex events in manufacturing.

[BibT_eX]

[DOI]

Axel-Cyrille Ngonga Ngomo

Martin Voigt

Proceedings of the 46. Jahrestagung der Gesellschaft für Informatik, 2016

2015

A survey of technologies for the internet of things.

[BibT_eX]

[DOI]

Emmanouil Vasilomanolakis

Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015

Short Paper: IoT: Challenges, projects, architectures.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Intelligence in Next Generation Networks, 2015

Collaborative multi-camera face recognition and tracking.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

2014

Recursive Gaussian process: On-line regression and learning.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2014

Demonstration abstract: participatory sensing enabled environmental monitoring in smart cities.

[BibT_eX]

[DOI]

Florian Zeiger

Proceedings of the IPSN'14, 2014

Low Resolution Person Detection with a Moving Thermal Infrared Camera by Hot Spot Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Chebyshev polynomial Kalman filter.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

On weak distance between distributions in application to tracking.

[BibT_eX]

[DOI]

Alexey Pak

Andrey Belkin

Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2013

Recursive Gaussian process regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Gaussian filtering for polynomial systems based on moment homotopy.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

Optimal Pruning for Multi-Step Sensor Scheduling.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2012

Robust Filtering and Smoothing with Gaussian Processes.

[BibT_eX]

[DOI]

Marc Peter Deisenroth

Ryan D. Turner

Carl Edward Rasmussen

IEEE Trans. Autom. Control., 2012

Bayesian active object recognition via Gaussian process regression.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Superficial Gaussian Mixture Reduction.

[BibT_eX]

[DOI]

Peter Krauthausen

Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011

Adaptive Gaussian mixture filter based on statistical linearization.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Information Fusion, 2011

Semi-analytic Gaussian Assumed Density Filter.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2011

2010

Semi-analytic stochastic linearization for range-based pose tracking.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, 2010

Optimal stochastic linearization for range-based localization.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Multi-step sensor management for localizing movable sources of spatially distributed phenomena.

[BibT_eX]

[DOI]

Achim Kuwertz

Felix Sawo

Proceedings of the 13th Conference on Information Fusion, 2010

Support-vector conditional density estimation for nonlinear filtering.

[BibT_eX]

[DOI]

Peter Krauthausen

Proceedings of the 13th Conference on Information Fusion, 2010

On multi-step sensor scheduling via convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009

Probabilistic Framework for Sensor Management

[BibT_eX]

[DOI]

PhD thesis, 2009

Probabilistic instantaneous model-based signal processing applied to localization and tracking.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2009

Analytic moment-based Gaussian process filtering.

[BibT_eX]

[DOI]

Marc Peter Deisenroth

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Instantaneous pose estimation using rotation vectors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Gaussian mixture reduction via clustering.

[BibT_eX]

[DOI]

Dennis Schieferdecker

Proceedings of the 12th International Conference on Information Fusion, 2009

Distributed greedy sensor scheduling for model-based reconstruction of space-time continuous physical phenomena.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information Fusion, 2009

Gaussian Filtering using state decomposition methods.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information Fusion, 2009

Dirac mixture approximation of multivariate Gaussian densities.

[BibT_eX]

[DOI]

Vesa Klumpp

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Stochastic model predictive control of time-variant nonlinear systems with imperfect state information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

On entropy approximation for Gaussian mixture random vectors.

[BibT_eX]

[DOI]

Tim Bailey

Hugh F. Durrant-Whyte

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

Priority list sensor scheduling using optimal pruning.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Information Fusion, 2008

Progressive Gaussian mixture reduction.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

Test-environment based on a team of miniature walking robots for evaluation of collaborative control methods.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Hybrid transition density approximation for efficient recursive prediction of nonlinear dynamic systems.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Information Processing in Sensor Networks, 2007

A closed-form model predictive control framework for nonlinear noise-corrupted systems.

[BibT_eX]

Proceedings of the ICINCO 2007, 2007

On Sensor Scheduling in Case of Unreliable Communication.

[BibT_eX]

[DOI]

Eric Stiegeler

Proceedings of the 37. Jahrestagung der Gesellschaft für Informatik, 2007

Parameter identification and reconstruction for distributed phenomena based on hybrid density filter.

[BibT_eX]

[DOI]

Felix Sawo

Proceedings of the 10th International Conference on Information Fusion, 2007

The hybrid density filter for nonlinear estimation based on hybrid conditional density approximation.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Information Fusion, 2007

A nonlinear model predictive control framework approximating noise corrupted systems with hybrid transition densities.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Efficient Control of Nonlinear Noise-Corrupted Systems Using a Novel Model Predictive Control Framework.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2007

Efficient Nonlinear Measurement Updating based on Gaussian Mixture Approximation of Conditional Densities.

[BibT_eX]

[DOI]

Dietrich Brunn

Proceedings of the American Control Conference, 2007

2006

Closed-Form Prediction of Nonlinear Dynamic Systems by Means of Gaussian Mixture Approximation of the Transition Density.

[BibT_eX]

[DOI]

Dietrich Brunn

Proceedings of the 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2006

2005

Navigation of Walking Robots: Path Planning.

[BibT_eX]

[DOI]

Bernd Gaßmann