Modellbasiertes Lernen in der Oberflächeninspektion. - Henrike Stephani; Thomas Weibel; Ali Moghiseh (Autom., 2017)

Deep learning for image based shelve inventories. - Oliver Müller; Chiara Fend; Ali Moghiseh; Katja Schladitz; Henrike Stephani; Thomas Weibel (ISIVC, 2021)

An unambiguous cloudiness index for nonwovens. - Michael Godehardt; Ali Moghiseh; Christine Oetjen; Joachim Ohser; Katja Schladitz (CoRR, 2022)

Assessing cloudiness in nonwovens. - Michael Godehardt; Ali Moghiseh; Christine Oetjen; Joachim Ohser; Simon Ringger; Katja Schladitz; Ingo Windschiegel (CoRR, 2022)

A hybrid quantum image edge detector for the NISQ era. - Alexander Geng; Ali Moghiseh; Claudia Redenbach; Katja Schladitz (Quantum Mach. Intell., 2022)

Improved Anisotropic Gaussian Filters. - Alex Keilmann; Michael Godehardt; Ali Moghiseh; Claudia Redenbach; Katja Schladitz (CoRR, 2023)

Hybrid quantum transfer learning for crack image classification on NISQ hardware. - Alexander Geng; Ali Moghiseh; Claudia Redenbach; Katja Schladitz (CoRR, 2023)

Improved FRQI on superconducting processors and its restrictions in the NISQ era. - Alexander Geng; Ali Moghiseh; Claudia Redenbach; Katja Schladitz (Quantum Inf. Process., 2023)

Variational Quantum Linear Solver Enhanced Quantum Support Vector Machine. - Jianming Yi; Kalyani Suresh; Ali Moghiseh; Norbert Wehn (Adv. Artif. Intell. Mach. Learn., 2024)

LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions. - Lars Krupp; Jonas Bley; Isacco Gobbi; Alexander Geng; Sabine Müller 001; Sungho Suh; Ali Moghiseh; Arcesio Castañeda Medina; Valeria Bartsch; Artur Widera; Herwig Ott; Paul Lukowicz; et al. (CoRR, 2024)

Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentation. - Akshaya Srinivasan; Alexander Geng; Antonio Macaluso; Maximilian Kiefer-Emmanouilidis; Ali Moghiseh (CoRR, 2024)