Search Results - "Huber, Marco"

A Survey on the Explainability of Supervised Machine Learning by Burkart, Nadia, Huber, Marco F.

“…Predictions obtained by, e.g., artificial neural networks have a high accuracy but humans often perceive the models as black boxes. Insights about the decision…”
Get full text

Benchmark and Survey of Automated Machine Learning Frameworks by Zöller, Marc-André, Huber, Marco F.

“…Machine learning (ML) has become a vital part in many aspects of our daily life. However, building well performing machine learning applications requires…”
Get full text

Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking by Kleeberger, Kilian, Landgraf, Christian, Huber, Marco F.

“…In this paper, we introduce a new public dataset for 6D object pose estimation and instance segmentation for industrial bin-picking. The dataset comprises both…”
Get full text

A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks by Landgraf, Christian, Meese, Bernd, Pabst, Michael, Martius, Georg, Huber, Marco F

“…Manual inspection of workpieces in highly flexible production facilities with small lot sizes is costly and less reliable compared to automated inspection…”
Get full text

Toward Holistic Scene Understanding: A Transfer of Human Scene Perception to Mobile Robots by Graf, Florenz, Lindermayr, Jochen, Odabasi, Cagatay, Huber, Marco F.

“…The long-term vision for robotics is to have fully autonomous mobile robots that perceive the environment as humans do or even better. This article transfers…”
Get full text

Recursive Gaussian process: On-line regression and learning by Huber, Marco F.

“…•Two on-line approaches for Gaussian process (GP) regression are proposed.•The 1st approach (RGP) is computationally cheap with errors close to a full GP.•The…”
Get full text

Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks by Abdou, Kirolos, Mohammed, Osama, Eskandar, George, Ibrahim, Amgad, Matt, Paul-Amaury, Huber, Marco F.

“…Reducing material waste and computation time are primary objectives in cutting and packing problems (C &P). A solution to the C &P problem consists of many…”
Get full text

Improving the Effectiveness of Deep Generative Data by Wang, Ruyu, Schmedding, Sabrina, Huber, Marco F.

“…Recent deep generative models (DGMs) such as generative adversarial networks (GANs) and diffusion probabilistic models (DPMs) have shown their impressive…”
Get full text

Optimal Pruning for Multi-Step Sensor Scheduling by Huber, M. F.

“…In the considered linear Gaussian sensor scheduling problem, only one sensor out of a set of sensors performs a measurement. To minimize the estimation error…”
Get full text

Machine learning-based shear force quality prediction of ultrasonic wire bonds: utilizing process data and machine data without additional sensors by Buchner, Christoph, Seidler, Christian T., Huber, Marco F., Eigenbrod, Hartmut, von Ribbeck, Hans-Georg, Schlicht, Franz

“…Ultrasonic wire bonding is a highly automated production process that is used billions of times a year in the electronics and electromobility industries. Due…”
Get full text

Chebyshev polynomial Kalman filter by Huber, Marco F.

“…A novel Gaussian state estimator named Chebyshev polynomial Kalman filter is proposed that exploits the exact and closed-form calculation of posterior moments…”
Get full text

Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems by Lamprecht, Raphael, Wurst, Ferdinand, Huber, Marco F.

“…Maintenance scheduling is a complex decision-making problem in the production domain, where a number of maintenance tasks and resources has to be assigned and…”
Get full text

Improved Multi-Person Vital Signs Estimation Algorithm in Sitting and Standing Positions using MIMO FMCW Radar by Elmakhzangy, Bassam, Aziz, Fady, ElZawahry, Yaseen, Maufroy, Christophe, Schneider, Urs, Huber, Marco F.

“…The use of FMCW radars for non-contact monitoring of vital signs has gained an increased attention in the healthcare sector within the past few years. In this…”
Get full text

Are you sure? Prediction revision in automated decision‐making by Burkart, Nadia, Robert, Sebastian, Huber, Marco F.

“…With the rapid improvements in machine learning and deep learning, decisions made by automated decision support systems (DSS) will increase. Besides the…”
Get full text

Robust Filtering and Smoothing with Gaussian Processes by Deisenroth, M. P., Turner, R. D., Huber, M. F., Hanebeck, U. D., Rasmussen, C. E.

“…We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the transition function and the…”
Get full text

Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning by Wu, Xinyang, Wedernikow, Elisabeth, Nitsche, Christof, Huber, Marco F.

“…In recent years, the development of Artificial Intelligence (AI) has shown tremendous potential in diverse areas. Among them, reinforcement learning (RL) has…”
Get full text

A MIMO Radar-Based Metric Learning Approach for Activity Recognition by Aziz, Fady, Metwally, Omar, Weller, Pascal, Schneider, Urs, Huber, Marco F.

“…Human activity recognition is seen of great importance in the medical and surveillance fields. Radar has shown great feasibility for this field based on the…”
Get full text

IPA-3D1K: A Large Retail 3D Model Dataset for Robot Picking by Lindermayr, Jochen, Odabasi, Cagatay, Jordan, Florian, Graf, Florenz, Knak, Lukas, Kraus, Werner, Bormann, Richard, Huber, Marco F.

“…Robotic applications like automated order picking in warehouses or retail stores, or fetch and carry tasks in hospitals, care homes, or households rely on the…”
Get full text

Cooperation of Human and Active Learning based AI for Fast and Precise Complaint Management by Hennebold, Christoph, Mei, Xiaodong, Mailahn, Ortwin, Huber, Marco F., Mannus, Oliver

“…In highly competitive markets, customer loyalty plays an increasingly important role for companies. An important aspect is the recording and processing of…”
Get full text

On the Development of a Surrogate Modelling Toolbox for Virtual Assembly by Kaufmann, Manuel, Effenberger, Ira, Huber, Marco F.

“…Virtual assembly (VA) is a method to simulate the physical assembly (PA) of scanned parts. Small local part deviations can accumulate to large assembly…”
Get full text