Tobias Schlosser

According to our database, Tobias Schlosser authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., August, 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., June, 2024

Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing.

Tobias Schlosser

PhD thesis, 2024

Improving learning-based birdsong classification by utilizing combined audio augmentation strategies.

Arunodhayan Sampath Kumar, Tobias Schlosser, Stefan Kahl, Danny Kowerko

Ecol. Informatics, 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

Hexagonal Image Processing for Computer Vision With Hexnet: A Hexagonal Image Processing Data Set and Generator.

Tobias Schlosser, Michael Friedrich, Trixy Meyer, Maximilian Eibl, Danny Kowerko

IEEE Access, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.

Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, Martin Sedlmayr

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects.

Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models.

Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2022

Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks.

Tobias Schlosser, Michael Friedrich, Frederik Beuth, Danny Kowerko

J. Intell. Manuf., 2022

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

2020

Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning.

Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation.

Tobias Schlosser, Frederik Beuth, Danny Kowerko

Proceedings of the IEEE International Conference on Image Processing, 2020

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

Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework.

Tobias Schlosser, Michael Friedrich, Danny Kowerko

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.

Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2016

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

Proceedings of the Universal Access in Human-Computer Interaction. Users and Context Diversity, 2016