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pro vyhledávání: '"A A, Mahmood"'
We study consistent query answering via different graph representations. First, we introduce solution-conflict hypergraphs in which nodes represent facts and edges represent either conflicts or query solutions. Considering a monotonic query and a set
Externí odkaz:
http://arxiv.org/abs/2412.08324
The analysis of retinal images for the diagnosis of various diseases is one of the emerging areas of research. Recently, the research direction has been inclined towards investigating several changes in retinal blood vessels in subjects with many neu
Externí odkaz:
http://arxiv.org/abs/2412.05968
Trust in social media is a growing concern due to its ability to influence significant societal changes. However, this space is increasingly compromised by various types of deepfake multimedia, which undermine the authenticity of shared content. Alth
Externí odkaz:
http://arxiv.org/abs/2412.05487
Data augmentation is widely used to enhance generalization in visual classification tasks. However, traditional methods struggle when source and target domains differ, as in domain adaptation, due to their inability to address domain gaps. This paper
Externí odkaz:
http://arxiv.org/abs/2412.02366
Autor:
Mahmood, R., Wong, K. C. L., Reyes, D. M., D'Souza, N., Shi, L., Wu, J., Kaviani, P., Kalra, M., Wang, G., Yan, P., Syeda-Mahmood, T.
With the emergence of large-scale vision-language models, realistic radiology reports may be generated using only medical images as input guided by simple prompts. However, their practical utility has been limited due to the factual errors in their d
Externí odkaz:
http://arxiv.org/abs/2412.02177
Autor:
Baig, Sherjeel Mahmood, Abe, Hideki
Flexible electronics are attracting attention due to the increasing demand for lightweight, bendable devices that can conform to various surfaces, including human skin. Although indium tin oxide (ITO) is widely used for electrical interconnection in
Externí odkaz:
http://arxiv.org/abs/2412.02726
Autor:
Mahmood, Razi, Yan, Pingkun, Reyes, Diego Machado, Wang, Ge, Kalra, Mannudeep K., Kaviani, Parisa, Wu, Joy T., Syeda-Mahmood, Tanveer
Several evaluation metrics have been developed recently to automatically assess the quality of generative AI reports for chest radiographs based only on textual information using lexical, semantic, or clinical named entity recognition methods. In thi
Externí odkaz:
http://arxiv.org/abs/2412.01031
Voice authentication on IoT-enabled smart devices has gained prominence in recent years due to increasing concerns over user privacy and security. The current authentication systems are vulnerable to different voice-spoofing attacks (e.g., replay, vo
Externí odkaz:
http://arxiv.org/abs/2411.19841
Autor:
Ding, Tong, Wagner, Sophia J., Song, Andrew H., Chen, Richard J., Lu, Ming Y., Zhang, Andrew, Vaidya, Anurag J., Jaume, Guillaume, Shaban, Muhammad, Kim, Ahrong, Williamson, Drew F. K., Chen, Bowen, Almagro-Perez, Cristina, Doucet, Paul, Sahai, Sharifa, Chen, Chengkuan, Komura, Daisuke, Kawabe, Akihiro, Ishikawa, Shumpei, Gerber, Georg, Peng, Tingying, Le, Long Phi, Mahmood, Faisal
The field of computational pathology has been transformed with recent advances in foundation models that encode histopathology region-of-interests (ROIs) into versatile and transferable feature representations via self-supervised learning (SSL). Howe
Externí odkaz:
http://arxiv.org/abs/2411.19666
In this study, we present a novel analytical approach to solving large-scale Ising problems by reformulating the discrete Ising Hamiltonian into a continuous framework. This transformation enables us to derive exact solutions for a non-trivial class
Externí odkaz:
http://arxiv.org/abs/2411.19604