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Nr. Titel Autor Jahr
1 A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts Vogel, Richard* et al. 2024
2 Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study e Silva, André Luiz Vieira et al. 2024
3 Visual acuity prediction on real-life patient data using a machine learning based multistage system Schlosser, Tobias* et al. 2024
4 A Consolidated Overview of Evaluation and Performance Metrics for Machine Learning and Computer Vision Schlosser, Tobias* et al. 2023
5 Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing With The Hexagonal Image Processing Framework Hexnet Schlosser, Tobias et al. 2023
6 Improving Learning-Based Birdsong Classification by Utilizing Combined Audio Augmentation Strategies Sampath Kumar, Arunodhayan* et al. 2023
7 Improving OCT Image Segmentation of Retinal Layers by Utilizing a Machine Learning Based Multistage System of Stacked Multi-Scale Encoders and Decoders Sampath Kumar, Arunodhayan et al. 2023
8 Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System Schlosser, Tobias* et al. 2023
9 Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks Schlosser, Tobias et al. 2022
10 Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning Beuth, Frederik et al. 2021
11 Sorting of Single-Molecule Trajectories by means of Machine Learning - a status update on the annotation procedure Krenkel, Lisa et al. 2021
12 Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation Schlosser, Tobias* et al. 2020
13 Fehlerdetektion und -klassifikation bei Laserschneidprozessen mittels Deep Neural Networks Schlosser, Tobias et al. 2020
14 Hexagonale Bildverarbeitung im Kontext maschineller Lernverfahren: Konzeption eines biologisch inspirierten hexagonalen Deep Learning Frameworks Schlosser, Tobias et al. 2020
15 Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning Beuth, Frederik* et al. 2020
16 Schlussbericht zum InnoProfile-Transfer Begleitprojekt localizeIT Kowerko, Danny et al. 2020
17 A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks Schlosser, Tobias et al. 2019
18 Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework Schlosser, Tobias et al. 2019
19 University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019 Thomanek, Rico et al. 2019
20 University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID Instance Search 2019 Thomanek, Rico et al. 2019
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