Zobrazeno 1 - 10
of 430
pro vyhledávání: '"A, Vaská"'
Autor:
Huang, Chuan, Vaska, Paul, Gao, Yongfeng, Chang, Shaojie, Holmes, Thomas Wesley, Pourmorteza, Amir, Liang, Jerome
Contained within this volume are the scholarly contributions presented in both oral and poster formats at Fully3D 2023: The 17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. This conference
Externí odkaz:
http://arxiv.org/abs/2310.16846
For the task of image classification, neural networks primarily rely on visual patterns. In robust networks, we would expect for visually similar classes to be represented similarly. We consider the problem of when semantically similar classes are vi
Externí odkaz:
http://arxiv.org/abs/2306.01148
Autor:
Vaska, Nathan, Helus, Victoria
The impressive advances and applications of large language and joint language-and-visual understanding models has led to an increased need for methods of probing their potential reasoning capabilities. However, the difficulty of gather naturally-occu
Externí odkaz:
http://arxiv.org/abs/2306.01144
Robustness in deep neural networks and machine learning algorithms in general is an open research challenge. In particular, it is difficult to ensure algorithmic performance is maintained on out-of-distribution inputs or anomalous instances that cann
Externí odkaz:
http://arxiv.org/abs/2211.11880
Many real-world tasks involve a mixed-initiative setup, wherein humans and AI systems collaboratively perform a task. While significant work has been conducted towards enabling humans to specify, through language, exactly how an agent should complete
Externí odkaz:
http://arxiv.org/abs/2208.08374
Autor:
Fan, Jingzhi a, b, Schiemer, Theresa a, b, Steinberga, Vita a, Vaska, Annija a, b, Metlova, Anastasija b, c, Sizovs, Antons b, c, Locs, Janis a, b, Klavins, Kristaps a, b, ⁎
Publikováno v:
In Heliyon 30 November 2024 10(22)
Increasing the semantic understanding and contextual awareness of machine learning models is important for improving robustness and reducing susceptibility to data shifts. In this work, we leverage contextual awareness for the anomaly detection probl
Externí odkaz:
http://arxiv.org/abs/2203.09354
Autor:
Puigdollers, Andreu, Vandevska-Radunovic, Vaska, Karsten, Agneta, Michelotti, Ambra, Perillo, Letizia
Publikováno v:
In Seminars in Orthodontics September 2024 30(4):452-455
Autor:
Khan, Rishad, Ruan, Yibing, Yuan, Yuhong, Khalaf, Kareem, Sabrie, Nasruddin S., Gimpaya, Nikko, Scaffidi, Michael A., Bansal, Rishi, Vaska, Marcus, Brenner, Darren R., Hilsden, Robert J., Heitman, Steven J., Leontiadis, Grigorios I., Grover, Samir C., Forbes, Nauzer
Publikováno v:
In Gastroenterology August 2024 167(3):560-590
Autor:
Kaźmierczak, Stanisław, Juszka, Zofia, Vandevska-Radunovic, Vaska, Maal, Thomas JJ, Fudalej, Piotr, Mańdziuk, Jacek
Publikováno v:
International Conference on Neural Information Processing, ICONIP 2021, CCIS 1517, 665-673
Facial dysmorphology or malocclusion is frequently associated with abnormal growth of the face. The ability to predict facial growth (FG) direction would allow clinicians to prepare individualized therapy to increase the chance for successful treatme
Externí odkaz:
http://arxiv.org/abs/2110.02316