Biological Models of Reinforcement Learning. - Julien Vitay; Jérémy Fix; Fred H. Hamker; Henning Schroll; Frederik Beuth (Künstliche Intell., 2009)

How Visual Attention and Suppression Facilitate Object Recognition? - Frederik Beuth; Amirhossein Jamalian; Fred H. Hamker (ICANN, 2014)

A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot. - Marco Antonelli; Agostino Gibaldi; Frederik Beuth; Angel Juan Duran; Andrea Canessa; Manuela Chessa; Fabio Solari; Angel P. del Pobil; Fred H. Hamker; Eris Chinellato; Silvio P. Sabatini (IEEE Trans. Auton. Ment. Dev., 2014)

The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality. - Amirhossein Jamalian; Frederik Beuth; Fred H. Hamker (ICANN (2), 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)

Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020. - Nisnab Udas; Frederik Beuth; Danny Kowerko (CLEF (Working Notes), 2020)

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 attention in primates and for machines - neuronal mechanisms. - Frederik Beuth (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)

A large-scale neurocomputational model of spatial cognition integrating memory with vision. - Micha Burkhardt; Julia Bergelt; Lorenz Gönner; Helge Ulo Dinkelbach; Frederik Beuth; Alex Schwarz; Andrej Bicanski; Neil Burgess; Fred H. Hamker (Neural Networks, 2023)

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)