Ali Moghiseh

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Support Vector Machine

Helping Students

Gaussian Filter

Quantum Inspired

Top Venues

Quantum Mach. Intell.

Adv. Artif. Intell. Mach. Learn.

Publications

Jianming Yi, Kalyani Suresh, Ali Moghiseh, Norbert Wehn
Variational Quantum Linear Solver Enhanced Quantum Support Vector Machine. Adv. Artif. Intell. Mach. Learn. 4 (2) (2024)
Lars Krupp, Jonas Bley, Isacco Gobbi, Alexander Geng, Sabine Müller, Sungho Suh, Ali Moghiseh, Arcesio Castañeda Medina, Valeria Bartsch, Artur Widera, Herwig Ott, Paul Lukowicz, Jakob Karolus, Maximilian Kiefer-Emmanouilidis
LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions. CoRR (2024)
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
Hybrid quantum transfer learning for crack image classification on NISQ hardware. CoRR (2023)
Jianming Yi, Kalyani Suresh, Ali Moghiseh, Norbert Wehn
Variational Quantum Linear Solver enhanced Quantum Support Vector Machine. CoRR (2023)
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
Improved FRQI on superconducting processors and its restrictions in the NISQ era. Quantum Inf. Process. 22 (2) (2023)
Alex Keilmann, Michael Godehardt, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
Improved Anisotropic Gaussian Filters. CoRR (2023)
Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Katja Schladitz
An unambiguous cloudiness index for nonwovens. CoRR (2022)
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
A hybrid quantum image edge detector for the NISQ era. CoRR (2022)
Michael Godehardt, Ali Moghiseh, Christine Oetjen, Joachim Ohser, Simon Ringger, Katja Schladitz, Ingo Windschiegel
Assessing cloudiness in nonwovens. CoRR (2022)
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
A hybrid quantum image edge detector for the NISQ era. Quantum Mach. Intell. 4 (2) (2022)
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
Improved FRQI on superconducting processors and its restrictions in the NISQ era. CoRR (2021)
Oliver Müller, Chiara Fend, Ali Moghiseh, Katja Schladitz, Henrike Stephani, Thomas Weibel
Deep learning for image based shelve inventories. ISIVC (2021)
Henrike Stephani, Thomas Weibel, Ali Moghiseh
Modellbasiertes Lernen in der Oberflächeninspektion. Autom. 65 (6) (2017)