This shows you the differences between two versions of the page.
Both sides previous revision Previous revision | Next revision Both sides next revision | ||
about:publications [2022/03/17 10:40] andrea.frey [2020] |
about:publications [2022/03/17 10:42] andrea.frey [2021] |
||
---|---|---|---|
Line 18: | Line 18: | ||
===== 2021 ===== | ===== 2021 ===== | ||
+ | * Sohrab, Fahad, Alexandros Iosifidis, Moncef Gabbouj, and Jenni Raitoharju. " | ||
+ | |||
+ | * Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, and Moncef Gabbouj, “Multimodal Subspace Support Vector Data Description, | ||
+ | |||
+ | * Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj and C.-C. Jay Kuo, “AnomalyHop: | ||
+ | |||
+ | * M. Ahishali, M. Yamac, S. Kiranyaz, and M. Gabbouj, “Representation Based Regression for Object Distance Estimation, | ||
+ | |||
+ | * Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, and Moncef Gabbouj, 2021, July. Monte Carlo Dropout Ensembles for Robust Illumination Estimation. In IJCNN, 2021. | ||
+ | |||
+ | * Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, and Moncef Gabbouj. " | ||
+ | |||
+ | * Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, and Moncef Gabbouj, " | ||
* Langevin, Alex; Cody, Tyler; Adams, Stephen; Beling, Peter. Generative adversarial networks for data augmentation and transfer in credit card fraud detection Journal of the Operational Research Society. ISSN: 0160-5682. Pages 1-28. January 2021. https:// | * Langevin, Alex; Cody, Tyler; Adams, Stephen; Beling, Peter. Generative adversarial networks for data augmentation and transfer in credit card fraud detection Journal of the Operational Research Society. ISSN: 0160-5682. Pages 1-28. January 2021. https:// |