Marco F. Huber

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 102

Top Venues

Publications

Benjamin Alt, Florian Stöckl, Silvan Müller, Christopher Braun, Julian Raible, Saad Alhasan, Oliver Rettig, Lukas Ringle, Darko Katic, Rainer Jäkel, Michael Beetz, Marcus Strand, Marco F. Huber
RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots. ICRA (2024)
Benjamin Frész, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law. CoRR (2024)
Florenz Graf, Jochen Lindermayr, Birgit Graf, Werner Kraus, Marco F. Huber
HIPer: A Human-Inspired Scene Perception Model for Multifunctional Mobile Robots. CoRR (2024)
Fabian Mauthe, Christopher Braun, Julian Raible, Peter Zeiler, Marco F. Huber
Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management. CoRR (2024)
Benjamin Alt, Florian Stöckl, Silvan Müller, Christopher Braun, Julian Raible, Saad Alhasan, Oliver Rettig, Lukas Ringle, Darko Katic, Rainer Jäkel, Michael Beetz, Marcus Strand, Marco F. Huber
RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots. CoRR (2024)
Ruyu Wang, Sabrina Schmedding, Marco F. Huber
Improving the Effectiveness of Deep Generative Data. WACV (2024)
Kirolos Abdou, Osama Mohammed, George Eskandar, Amgad Ibrahim, Paul-Amaury Matt, Marco F. Huber
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks. J. Intell. Manuf. 35 (6) (2024)
Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth
Reinforcement learning-based architecture search for quantum machine learning. CoRR (2024)
Patrick Takenaka, Johannes Maucher, Marco F. Huber
ViPro: Enabling and Controlling Video Prediction for Complex Dynamical Scenarios using Procedural Knowledge. CoRR (2024)
Patrick Takenaka, Johannes Maucher, Marco F. Huber
Guiding Video Prediction with Explicit Procedural Knowledge. CoRR (2024)
Tobias Nagel, Marco F. Huber
Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning. CoRR (2024)
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks. ICRA (2023)
Christian Jauch, Timo Leitritz, Marco F. Huber
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning. CoRR (2023)
Marc-André Zöller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber
Automated Machine Learning for Remaining Useful Life Predictions. CoRR (2023)
Danilo Brajovic, Niclas Renner, Vincent Philipp Goebels, Philipp Wagner, Benjamin Frész, Martin Biller, Mara Klaeb, Janika Kutz, Jens Neuhüttler, Marco F. Huber
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development. CoRR (2023)
Kathrin Leiner, Frederic P. Dollmann, Marco F. Huber, Manuel Geiger, Stefan Leinberger
Cut Interruption Detection in the Laser Cutting Process Using ROCKET on Audio Signals. INDIN (2023)
Patrick Takenaka, Johannes Maucher, Marco F. Huber
Guiding Video Prediction with Explicit Procedural Knowledge. ICCV (Workshops) (2023)
Xinyang Wu, Elisabeth Wedernikow, Christof Nitsche, Marco F. Huber
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning. IV (2023)
Danilo Brajovic, Marco F. Huber
Merging Explainable AI into Automotive Software Development. ERCIM News 2023 (134) (2023)
Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning. ACM Trans. Interact. Intell. Syst. 13 (4) (2023)
Marc-André Zöller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber
Automated Machine Learning for Remaining Useful Life Predictions. SMC (2023)
Christian Jauch, Timo Leitritz, Marco F. Huber
Self-Supervised Optimization of Hand Pose Estimation Using Anatomical Features and Iterative Learning. SMC (2023)
Ruyu Wang, Sabrina Hoppe, Eduardo Monari, Marco F. Huber
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation. CoRR (2023)
Xinyang Wu, Elisabeth Wedernikow, Christof Nitsche, Marco F. Huber
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning. CoRR (2023)
Philipp Wagner, Xinyang Wu, Marco F. Huber
Kalman Bayesian Neural Networks for Closed-Form Online Learning. AAAI (2023)
Jochen Lindermayr, Çagatay Odabasi, Florian Jordan, Florenz Graf, Lukas Knak, Werner Kraus, Richard Bormann, Marco F. Huber
IPA-3D1K: A Large Retail 3D Model Dataset for Robot Picking. IROS (2023)
Ruyu Wang, Sabrina Schmedding, Marco F. Huber
Improving the Effectiveness of Deep Generative Data. CoRR (2023)
Julian Raible, Oliver Rettig, Benjamin Alt, Alper Yaman, Isabelle Gauger, Lorenzo Biasi, Silvan Müller, Darko Katic, Marcus Strand, Marco F. Huber
Artificial Neural Network Guided Compensation of Nonlinear Payload and Wear Effects for Industrial Robots. CASE (2023)
Marc-André Zöller, Marius Lindauer, Marco F. Huber
auto-sktime: Automated Time Series Forecasting. CoRR (2023)
Jannes Elstner, Raoul G. C. Schönhof, Steffen Tauber, Marco F. Huber
Optimizing CAD Models with Latent Space Manipulation. CoRR (2023)
Arik Lämmle, Philipp Tenbrock, Balázs András Bálint, Frank Nägele, Werner Kraus, József Váncza, Marco F. Huber
Simulation-based Learning of the Peg-in-Hole Process Using Robot-Skills. IROS (2022)
Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber
Mixture of Decision Trees for Interpretable Machine Learning. CoRR (2022)
Tobias Nagel, Marco F. Huber
Kalman-Bucy-Informed Neural Network for System Identification. CoRR (2022)
Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber
XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning. CoRR (2022)
Raoul Schönhof, Jannes Elstner, Radu Manea, Steffen Tauber, Ramez Awad, Marco F. Huber
Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder. CoRR (2022)
Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke, Marco F. Huber
Mixture of Decision Trees for Interpretable Machine Learning. ICMLA (2022)
Raoul Schönhof, Artem Werner, Jannes Elstner, Boldizsar Zopcsak, Ramez Awad, Marco F. Huber
Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods. CoRR (2022)
Manjunatha Veerappa, Mathias Anneken, Nadia Burkart, Marco F. Huber
Validation of XAI explanations for multivariate time series classification in the maritime domain. J. Comput. Sci. 58 (2022)
Mohamed El-Shamouty, Julian Titze, Sitar Kortik, Werner Kraus, Marco F. Huber
GLIR: A Practical Global-local Integrated Reactive Planner towards Safe Human-Robot Collaboration. ETFA (2022)
Nadia Burkart, Danilo Brajovic, Marco F. Huber
Explainable AI: introducing trust and comprehensibility to AI engineering. Autom. 70 (9) (2022)
Tobias Nagel, Marco F. Huber
Kalman-Bucy-Informed Neural Network for System Identification. CDC (2022)
Florenz Graf, Jochen Lindermayr, Çagatay Odabasi, Marco F. Huber
Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots. IEEE Robotics Autom. Mag. 29 (4) (2022)
Paul-Amaury Matt, Rosina Ziegler, Danilo Brajovic, Marco Roth, Marco F. Huber
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules. CoRR (2022)
Ruyu Wang, Sabrina Hoppe, Eduardo Monari, Marco F. Huber
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation. BMVC (2022)
Pascal Weller, Fady Aziz, Sherif Abdulatif, Urs Schneider, Marco F. Huber
A MIMO Radar-based Few-Shot Learning Approach for Human-ID. EUSIPCO (2022)
Marius Moosmann, Felix Spenrath, Johannes Rosport, Philipp Melzer, Werner Kraus, Richard Bormann, Marco F. Huber
Transfer Learning for Machine Learning-based Detection and Separation of Entanglements in Bin-Picking Applications. IROS (2022)
Christoph Hennebold, Xiaodong Mei, Ortwin Mailahn, Marco F. Huber, Oliver Mannuß
Cooperation of Human and Active Learning based AI for Fast and Precise Complaint Management. SMC (2022)
Kilian Kleeberger, Jonathan Schnitzler, Muhammad Usman Khalid, Richard Bormann, Werner Kraus, Marco F. Huber
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers. CoRR (2021)
Christian Jauch, Julia Denecke, Marco F. Huber
Generating a Hand Pose Data Set for Vision Based Manual Assembly Assistance Systems. 3D Imaging and Applications (2021)
Christian Landgraf, Kilian Ernst, Gesine Schleth, Marc Fabritius, Marco F. Huber
A Hybrid Neural Network Approach for Increasing the Absolute Accuracy of Industrial Robots. CASE (2021)
Raphael Lamprecht, Ferdinand Wurst, Marco F. Huber
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems. CoRR (2021)
Kilian Kleeberger, Markus Völk, Marius Moosmann, Erik Thiessenhusen, Florian Roth, Richard Bormann, Marco F. Huber
Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes. CoRR (2021)
Fady Aziz, Bassam Elmakhzangy, Christophe Maufroy, Urs Schneider, Marco F. Huber
DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing. CoRR (2021)
Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber
Towards Measuring Bias in Image Classification. ICANN (3) (2021)
Kilian Kleeberger, Florian Roth, Richard Bormann, Marco F. Huber
Automatic Grasp Pose Generation for Parallel Jaw Grippers. IAS (2021)
Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber
Incremental Search Space Construction for Machine Learning Pipeline Synthesis. IDA (2021)
Kilian Kleeberger, Markus Völk, Richard Bormann, Marco F. Huber
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation. CoRR (2021)
Daniel Bargmann, Philipp Tenbrock, Lorenz Halt, Frank Nägele, Werner Kraus, Marco F. Huber
Unobstructed Programming-by-Demonstration for Force-Based Assembly Utilizing External Force-Torque Sensors. SMC (2021)
Fady Aziz, Omar Metwally, Pascal Weller, Urs Schneider, Marco F. Huber
A MIMO Radar-Based Metric Learning Approach for Activity Recognition. CoRR (2021)
Raphael Lamprecht, Ferdinand Wurst, Marco F. Huber
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems. INDIN (2021)
Kilian Kleeberger, Markus Völk, Richard Bormann, Marco F. Huber
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation. ICRA (2021)
Tobias Nagel, Marco F. Huber
Autoencoder-Inspired Identification of LTI Systems. ECC (2021)
Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber
Towards Measuring Bias in Image Classification. CoRR (2021)
Kilian Kleeberger, Jonathan Schnitzler, Muhammad Usman Khalid, Richard Bormann, Werner Kraus, Marco F. Huber
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers. IROS (2021)
Fady Aziz, Bassam Elmakhzangy, Christophe Maufroy, Urs Schneider, Marco F. Huber
DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing. EUSIPCO (2021)
Kilian Kleeberger, Florian Roth, Richard Bormann, Marco F. Huber
Automatic Grasp Pose Generation for Parallel Jaw Grippers. CoRR (2021)
Philipp Wagner, Xinyang Wu, Marco F. Huber
Kalman Bayesian Neural Networks for Closed-form Online Learning. CoRR (2021)
Marc-André Zöller, Marco F. Huber
Benchmark and Survey of Automated Machine Learning Frameworks. J. Artif. Intell. Res. 70 (2021)
Pascal Weller, Fady Aziz, Sherif Abdulatif, Urs Schneider, Marco F. Huber
A MIMO Radar-based Few-Shot Learning Approach for Human-ID. CoRR (2021)
Christian Landgraf, Bernd Meese, Michael Pabst, Georg Martius, Marco F. Huber
A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks. Sensors 21 (6) (2021)
Nadia Burkart, Sebastian Robert, Marco F. Huber
Are you sure? Prediction revision in automated decision-making. Expert Syst. J. Knowl. Eng. 38 (1) (2021)
Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber
Incremental Search Space Construction for Machine Learning Pipeline Synthesis. CoRR (2021)
Simon Dürr, Raphael Lamprecht, Matthias Kauffmann, Marco F. Huber
Reinforcement Learning based Optimization of Bayesian Networks for Generating Feasible Vehicle Configuration Suggestions. CASE (2021)
Nadia Burkart, Marco F. Huber
A Survey on the Explainability of Supervised Machine Learning. J. Artif. Intell. Res. 70 (2021)
Marco F. Huber
Bayesian Perceptron: Towards fully Bayesian Neural Networks. CDC (2020)
Marco F. Huber
Bayesian Perceptron: Towards fully Bayesian Neural Networks. CoRR (2020)
Kilian Kleeberger, Marco F. Huber
Single Shot 6D Object Pose Estimation. ICRA (2020)
Nadia Burkart, Philipp M. Faller, Elisabeth Peinsipp, Marco F. Huber
Batch-wise Regularization of Deep Neural Networks for Interpretability. MFI (2020)
Kilian Kleeberger, Markus Völk, Marius Moosmann, Erik Thiessenhusen, Florian Roth, Richard Bormann, Marco F. Huber
Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes. IROS (2020)
Kilian Kleeberger, Marco F. Huber
Single Shot 6D Object Pose Estimation. CoRR (2020)
Nadia Burkart, Marco F. Huber
A Survey on the Explainability of Supervised Machine Learning. CoRR (2020)
Nadia Burkart, Marco F. Huber, Mathias Anneken
Supported Decision-Making by Explainable Predictions of Ship Trajectories. SOCO (2020)
Mohamed El-Shamouty, Xinyang Wu, Shanqi Yang, Marcel Albus, Marco F. Huber
Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning. ICRA (2020)
Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint
Deep Workpiece Region Segmentation for Bin Picking. CoRR (2019)
Patrick Dunau, Marco F. Huber, Jürgen Beyerer
Gaussian Process based Dynamic Facial Emotion Tracking. ICPS (2019)
Nina Schaaf, Marco F. Huber
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. CoRR (2019)
Kilian Kleeberger, Christian Landgraf, Marco F. Huber
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking. IROS (2019)
Kilian Kleeberger, Christian Landgraf, Marco F. Huber
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking. CoRR (2019)
Nadia El Bekri, Jasmin Kling, Marco F. Huber
A Study on Trust in Black Box Models and Post-hoc Explanations. SOCO (2019)
Muhammad Usman Khalid, Janik M. Hager, Werner Kraus, Marco F. Huber, Marc Toussaint
Deep Workpiece Region Segmentation for Bin Picking. CASE (2019)
Nina Schaaf, Marco F. Huber, Johannes Maucher
Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. ICMLA (2019)
Nadia Burkart, Marco F. Huber, Phillip Faller
Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization. ICMLA (2019)
Marc-André Zöller, Marco F. Huber
Survey on Automated Machine Learning. CoRR (2019)
Marco F. Huber, Marc-Andre Zoller, Marcus Baum
Linear programming based time lag identification in event sequences. Autom. 98 (2018)
Patrick Dunau, Marco F. Huber, Jürgen Beyerer
Comparison of Angle and Size Features with Deep Learning for Emotion Recognition. CIARP (2018)
Uwe D. Hanebeck, Marcus Baum, Marco F. Huber
Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems. IEEE Trans. Ind. Informatics 14 (3) (2018)
Selim Ozgen, Florian Rosenthal, Jana Mayer, Benjamin Noack, Uwe D. Hanebeck, Marco F. Huber
Retrodiction of Data Association Probabilities via Convex Optimization. FUSION (2018)
Patrick Dunau, Mike Bonny, Marco F. Huber, Jürgen Beyerer
Reduced Feature Set for Emotion Recognition Based on Angle and Size Information. IAS (2018)
Marc-Andre Zoller, Marcus Baum, Marco F. Huber
Framework for mining event correlations and time lags in large event sequences. INDIN (2017)
Marco F. Huber
Conditional anomaly detection in event streams. Autom. 65 (4) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco F. Huber