Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling. - Marc Ritter; Danny Kowerko; Hussein Hussein; Manuel Heinzig; Tobias Schlosser; Robert Manthey; Gisela Susanne Bahr (HCI (9), 2016)

A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. - Tobias Schlosser; Frederik Beuth; Michael Friedrich 005; Danny Kowerko (ETFA, 2019)

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. - Tobias Schlosser; Michael Friedrich 005; Danny Kowerko (ICMLA, 2019)

University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019. - Rico Thomanek; Christian Roschke; Benny Platte; Tony Rolletschke; Tobias Schlosser; Manuel Heinzig; Matthias Vodel; Danny Kowerko; Frank Zimmer; Maximilian Eibl; Marc Ritter (TRECVID, 2019)

Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation. - Tobias Schlosser; Frederik Beuth; Danny Kowerko (ICIP, 2020)

Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. - Frederik Beuth; Tobias Schlosser; Michael Friedrich 005; Danny Kowerko (IECON, 2020)

Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System. - Tobias Schlosser; Frederik Beuth; Trixy Meyer; Arunodhayan Sampath Kumar; Gabriel Stolze; Olga Furashova; Katrin Engelmann; Danny Kowerko (CoRR, 2022)

Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks. - Tobias Schlosser; Michael Friedrich 005; Frederik Beuth; Danny Kowerko (J. Intell. Manuf., 2022)

TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models. - Arunodhayan Sampath Kumar; Tobias Schlosser; Danny Kowerko (CLEF (Working Notes), 2024)

Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. - Zhining Hu; Tobias Schlosser; Michael Friedrich 005; André Luiz Buarque Vieira e Silva; Frederik Beuth; Danny Kowerko (ETFA, 2024)

Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care. - Katja Hoffmann; Yuan Peng 011; Tobias Schlosser; Gabriel Stolze; Holger Langner; Marcel Susky; Trixy Meyer; Marc Ritter; Danny Kowerko; Vinodh Kakkassery; Markus Wolfien; Martin Sedlmayr (GMDS, 2024)

Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. - André Luiz Buarque Vieira e Silva; Francisco Simões; Danny Kowerko; Tobias Schlosser; Felipe Battisti; Veronica Teichrieb (WACV, 2024)

Hexagonal Image Processing for Computer Vision With Hexnet: A Hexagonal Image Processing Data Set and Generator. - Tobias Schlosser; Michael Friedrich 005; Trixy Meyer; Maximilian Eibl; Danny Kowerko (IEEE Access, 2024)

Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study. - André Luiz Buarque Vieira e Silva; Francisco Simões; Danny Kowerko; Tobias Schlosser; Felipe Battisti; Veronica Teichrieb (CoRR, 2024)

Improving learning-based birdsong classification by utilizing combined audio augmentation strategies. - Arunodhayan Sampath Kumar; Tobias Schlosser; Stefan Kahl; Danny Kowerko (Ecol. Informatics, 2024)

Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing. - Tobias Schlosser (2024)

A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts. - Richard Vogel; Tobias Schlosser; Robert Manthey; Marc Ritter; Matthias Vodel; Maximilian Eibl; Kristan Alexander Schneider (Mach. Learn. Knowl. Extr., 2024)

Investigating the Challenges and Opportunities in Persian Language Information Retrieval through Standardized Data Collections and Deep Learning. - Sara Moniri; Tobias Schlosser; Danny Kowerko (Comput., 2024)