Zobrazeno 1 - 10
of 3 027
pro vyhledávání: '"Ivanovska, A"'
Autor:
Ivanovska, Marija, Štruc, Vitomir
The detection of malicious deepfakes is a constantly evolving problem that requires continuous monitoring of detectors to ensure they can detect image manipulations generated by the latest emerging models. In this paper, we investigate the vulnerabil
Externí odkaz:
http://arxiv.org/abs/2307.05397
Artificial intelligence applications enable farmers to optimize crop growth and production while reducing costs and environmental impact. Computer vision-based algorithms in particular, are commonly used for fruit segmentation, enabling in-depth anal
Externí odkaz:
http://arxiv.org/abs/2307.01064
Autor:
Ivanovska, Marija, Štruc, Vitomir
Publikováno v:
2023 11th International Workshop on Biometrics and Forensics (IWBF)
Morphed face images have recently become a growing concern for existing face verification systems, as they are relatively easy to generate and can be used to impersonate someone's identity for various malicious purposes. Efficient Morphing Attack Det
Externí odkaz:
http://arxiv.org/abs/2306.15733
Autor:
Nina Doncheva, Anita Mihaylova, Hristina Zlatanova, Mariya Ivanovska, Delian Delev, Ilia Kostadinov
Publikováno v:
Pharmacia, Vol 71, Iss , Pp 1-9 (2024)
The study aimed to investigate anti-inflammatory and immunomodulatory effects of cholecalciferol (vitamin D3) in rats with complete Freund’s adjuvant-induced arthritis (AIA) and lipopolysaccharide (LPS)-induced inflammation. In the first experiment
Externí odkaz:
https://doaj.org/article/722d8df90dea47a38e0b0ba3a8429b3c
Autor:
Valentina Peona, Jacopo Martelossi, Dareen Almojil, Julia Bocharkina, Ioana Brännström, Max Brown, Alice Cang, Tomàs Carrasco-Valenzuela, Jon DeVries, Meredith Doellman, Daniel Elsner, Pamela Espíndola-Hernández, Guillermo Friis Montoya, Bence Gaspar, Danijela Zagorski, Paweł Hałakuc, Beti Ivanovska, Christopher Laumer, Robert Lehmann, Ljudevit Luka Boštjančić, Rahia Mashoodh, Sofia Mazzoleni, Alice Mouton, Maria Anna Nilsson, Yifan Pei, Giacomo Potente, Panagiotis Provataris, José Ramón Pardos-Blas, Ravindra Raut, Tomasa Sbaffi, Florian Schwarz, Jessica Stapley, Lewis Stevens, Nusrat Sultana, Radka Symonova, Mohadeseh S. Tahami, Alice Urzì, Heidi Yang, Abdullah Yusuf, Carlo Pecoraro, Alexander Suh
Publikováno v:
Mobile DNA, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Background The advancement of sequencing technologies results in the rapid release of hundreds of new genome assemblies a year providing unprecedented resources for the study of genome evolution. Within this context, the significance of in-d
Externí odkaz:
https://doaj.org/article/5b725ff7c4734dbd97e9756237a1869f
Autor:
Olena Ivanovska, Oksana Overchuk
Publikováno v:
Вісник Київського національного університету імені Тараса Шевченка. Літературознавство. Мовознавство. Фольклористика, Iss 1(35), Pp 26-32 (2024)
Вступ. Присвячено вивченню історичних даних про найдавніші згадки рецептури й технології приготування борщу як кулінарної страви та як
Externí odkaz:
https://doaj.org/article/1d0dabd4c4c747b9802a3d1b8f9ed3a9
Autor:
Yaryna Zakalska, Olena Ivanovska
Publikováno v:
Вісник Київського національного університету імені Тараса Шевченка. Літературознавство. Мовознавство. Фольклористика, Iss 1(35), Pp 11-17 (2024)
Вступ. Присвячено вивченню колядок, які постають в Інтернет-сегменті у грудні 2022 – січні 2023 рр. у період повномасштабної російсько-украї
Externí odkaz:
https://doaj.org/article/43aef63bfb224dd793ecf20bbe858515
Autor:
Hougen, Conrad D., Kaplan, Lance M., Ivanovska, Magdalena, Cerutti, Federico, Mishra, Kumar Vijay, Hero III, Alfred O.
In second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i.e., probabilities over probabilities. The delta-method has been applied to extend exact first-order inference methods to propagate both
Externí odkaz:
http://arxiv.org/abs/2208.07368
Autor:
Huber, Marco, Boutros, Fadi, Luu, Anh Thi, Raja, Kiran, Ramachandra, Raghavendra, Damer, Naser, Neto, Pedro C., Gonçalves, Tiago, Sequeira, Ana F., Cardoso, Jaime S., Tremoço, João, Lourenço, Miguel, Serra, Sergio, Cermeño, Eduardo, Ivanovska, Marija, Batagelj, Borut, Kronovšek, Andrej, Peer, Peter, Štruc, Vitomir
This paper presents a summary of the Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 International Joint Conference on Biometrics (IJCB 2022). The competition attracted a total o
Externí odkaz:
http://arxiv.org/abs/2208.07337
Images of morphed faces pose a serious threat to face recognition--based security systems, as they can be used to illegally verify the identity of multiple people with a single morphed image. Modern detection algorithms learn to identify such morphin
Externí odkaz:
http://arxiv.org/abs/2207.00899