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Books and Theses
- 2024
[b1]Tobias Schlosser:
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing. Chemnitz University of Technology, Germany, 2024, ISBN 978-3-96100-213-9, pp. 1-272
Journal Articles
- 2024
- [j4]Sara Moniri
, Tobias Schlosser, Danny Kowerko:
Investigating the Challenges and Opportunities in Persian Language Information Retrieval through Standardized Data Collections and Deep Learning. Comput. 13(8): 212 (2024) - [j3]Arunodhayan Sampath Kumar, Tobias Schlosser, Stefan Kahl, Danny Kowerko:
Improving learning-based birdsong classification by utilizing combined audio augmentation strategies. Ecol. Informatics 82: 102699 (2024) - [j2]Richard Vogel, Tobias Schlosser, Robert Manthey, Marc Ritter, Matthias Vodel, Maximilian Eibl, Kristan Alexander Schneider:
A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts. Mach. Learn. Knowl. Extr. 6(2): 800-826 (2024) - 2022
- [j1]Tobias Schlosser, Michael Friedrich, Frederik Beuth, Danny Kowerko:
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks. J. Intell. Manuf. 33(4): 1099-1123 (2022)
Conference and Workshop Papers
- 2024
- [c10]Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko:
TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models. CLEF (Working Notes) 2024: 2201-2208 - [c9]Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko:
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. ETFA 2024: 1-4 - [c8]Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, Martin Sedlmayr:
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care. GMDS 2024: 139-145 - [c7]André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb:
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. WACV 2024: 8231-8240 - 2020
- [c6]Tobias Schlosser, Frederik Beuth, Danny Kowerko:
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation. ICIP 2020: 848-852 - [c5]Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. IECON 2020: 5323-5330 - 2019
- [c4]Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko:
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. ETFA 2019: 1511-1514 - [c3]Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. ICMLA 2019: 1866-1873 - [c2]Rico Thomanek, Christian Roschke, Benny Platte, Tony Rolletschke, Tobias Schlosser, Manuel Heinzig, Matthias Vodel, Danny Kowerko, Frank Zimmer, Maximilian Eibl, Marc Ritter:
University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019. TRECVID 2019 - 2016
- [c1]Marc Ritter, Danny Kowerko, Hussein Hussein, Manuel Heinzig, Tobias Schlosser, Robert Manthey, Gisela Susanne Bahr:
Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling. HCI (9) 2016: 492-504
Informal and Other Publications
- 2024
- [i8]André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb:
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study. CoRR abs/2401.08686 (2024) - [i7]Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko:
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. CoRR abs/2407.20268 (2024) - 2023
- [i6]André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb:
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. CoRR abs/2311.02747 (2023) - 2022
- [i5]Tobias Schlosser, Frederik Beuth, Trixy Meyer, Arunodhayan Sampath Kumar, Gabriel Stolze, Olga Furashova, Katrin Engelmann, Danny Kowerko:
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System. CoRR abs/2204.11970 (2022) - 2021
- [i4]Tobias Schlosser, Frederik Beuth, Danny Kowerko:
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation. CoRR abs/2101.00337 (2021) - [i3]Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. CoRR abs/2102.06955 (2021) - 2019
- [i2]Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko:
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. CoRR abs/1911.11250 (2019) - [i1]Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. CoRR abs/1911.11251 (2019)
Coauthor Index
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