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07/21/2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Despite large progress in Explainable and Safe AI, practitioners suffer ...
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07/06/2023
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning
Manual assembly workers face increasing complexity in their work. Human-...
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06/21/2023
Automated Machine Learning for Remaining Useful Life Predictions
Being able to predict the remaining useful life (RUL) of an engineering ...
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05/21/2023
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning
In recent years, the development of Artificial Intelligence (AI) has sho...
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03/09/2023
Optimizing CAD Models with Latent Space Manipulation
When it comes to the optimization of CAD models in the automation domain...
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02/16/2023
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation
Data-hunger and data-imbalance are two major pitfalls in many deep learn...
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11/26/2022
Mixture of Decision Trees for Interpretable Machine Learning
This work introduces a novel interpretable machine learning method calle...
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08/23/2022
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules
Our goal in this paper is to automatically extract a set of decision rul...
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02/24/2022
XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning
In the last ten years, various automated machine learning (AutoML) syste...
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02/21/2022
Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder
In the domain of computer vision, deep residual neural networks like Eff...
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11/02/2021
A MIMO Radar-Based Metric Learning Approach for Activity Recognition
Human activity recognition is seen of great importance in the medical an...
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10/16/2021
A MIMO Radar-based Few-Shot Learning Approach for Human-ID
Radar for deep learning-based human identification has become a research...
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10/03/2021
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers
This paper introduces a novel approach for the grasping and precise plac...
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10/03/2021
Kalman Bayesian Neural Networks for Closed-form Online Learning
Compared to point estimates calculated by standard neural networks, Baye...
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08/27/2021
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems
Maintenance scheduling is a complex decision-making problem in the produ...
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07/01/2021
Towards Measuring Bias in Image Classification
Convolutional Neural Networks (CNN) have become de fact state-of-the-art...
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05/30/2021
DimRad: A Radar-Based Perception System for Prosthetic Leg Barrier Traversing
Lower extremity amputees face challenges in natural locomotion, which is...
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04/23/2021
Automatic Grasp Pose Generation for Parallel Jaw Grippers
This paper presents a novel approach for the automatic offline grasp pos...
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04/15/2021
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation
Single shot approaches have demonstrated tremendous success on various c...
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01/26/2021
Incremental Search Space Construction for Machine Learning Pipeline Synthesis
Automated machine learning (AutoML) aims for constructing machine learni...
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01/12/2021
Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes
In this paper, we introduce a novel learning-based approach for grasping...
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11/16/2020
A Survey on the Explainability of Supervised Machine Learning
Predictions obtained by, e.g., artificial neural networks have a high ac...
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09/03/2020
Bayesian Perceptron: Towards fully Bayesian Neural Networks
Artificial neural networks (NNs) have become the de facto standard in ma...
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04/27/2020
Single Shot 6D Object Pose Estimation
In this paper, we introduce a novel single shot approach for 6D object p...
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12/06/2019
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking
In this paper, we introduce a new public dataset for 6D object pose esti...
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09/08/2019
Deep Workpiece Region Segmentation for Bin Picking
For most industrial bin picking solutions, the pose of a workpiece is lo...
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04/26/2019
Survey on Automated Machine Learning
Machine learning has become a vital part in many aspects of our daily li...
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04/10/2019
Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization
One obstacle that so far prevents the introduction of machine learning m...
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03/20/2012
