This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Last revision Both sides next revision | ||
about:publications [2022/03/07 14:10] andrea.frey [2022] |
about:publications [2022/03/17 10:43] andrea.frey [2022] |
||
---|---|---|---|
Line 4: | Line 4: | ||
===== 2022 ===== | ===== 2022 ===== | ||
+ | * Al-Sa’d, Mohammad, Serkan Kiranyaz, Iftikhar Ahmad, Christian Sundell, Matti Vakkuri, and Moncef Gabbouj. 2022. "A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras" | ||
* Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin, Arie E. Kaufman. COVID-view: Diagnosis of COVID-19 using Chest CT. 2022. IEEE transactions on visualization and computer graphics. vol. 28. 2160-9306. | * Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin, Arie E. Kaufman. COVID-view: Diagnosis of COVID-19 using Chest CT. 2022. IEEE transactions on visualization and computer graphics. vol. 28. 2160-9306. | ||
Line 18: | Line 19: | ||
===== 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:// | ||
Line 108: | Line 122: | ||
===== 2020 ===== | ===== 2020 ===== | ||
+ | |||
+ | * Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, and Moncef Gabbouj, " | ||
* Sekhon, Jasmine; Fleming, Cody. A Spatially and Temporally Attentive Joint Trajectory Prediction Framework for Modeling Vessel Intent Proceedings of the 2nd Conference on Learning for Dynamics and Control. Pages 318-327. January 2020. | * Sekhon, Jasmine; Fleming, Cody. A Spatially and Temporally Attentive Joint Trajectory Prediction Framework for Modeling Vessel Intent Proceedings of the 2nd Conference on Learning for Dynamics and Control. Pages 318-327. January 2020. |