Marco F. Huber

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

auto-sktime: Automated Time Series Forecasting.

[BibT_eX]

[DOI]

Marius Lindauer

CoRR, 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

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]

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