Zobrazeno 1 - 10
of 3 019
pro vyhledávání: '"Loža, P."'
Autor:
Zhang, Xi, Pu, Yuan, Kawamura, Yuki, Loza, Andrew, Bengio, Yoshua, Shung, Dennis L., Tong, Alexander
Modeling stochastic and irregularly sampled time series is a challenging problem found in a wide range of applications, especially in medicine. Neural stochastic differential equations (Neural SDEs) are an attractive modeling technique for this probl
Externí odkaz:
http://arxiv.org/abs/2410.21154
Autor:
Bergsma, Emmy, Alphen, H. Van, Bruggeman, A., Giannakis, E., Koti, J., Kristvik, E., Loza, P., Martinez, M., Muthanna, T.M., Rocha, F., Viseu, T., Zoumides, C.
This chapter comparatively analyses the policy and governance contexts of six European regions that are affected by different hydrological impacts of climate change. The results demonstrate that a major governance strength across regions lies in the
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/49287
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, Volume: 24, Issue: 4, pp. 1125 - 1136, 2020
The presence of hyperreflective foci (HFs) is related to retinal disease progression, and the quantity has proven to be a prognostic factor of visual and anatomical outcome in various retinal diseases. However, lack of efficient quantitative tools fo
Externí odkaz:
http://arxiv.org/abs/2407.21272
Autor:
Zhu, Yanmin, Tadesse, Loza F.
Spectroscopy is a powerful analytical technique for characterizing matter across physical and biological realms1-5. However, its fundamental principle necessitates specialized instrumentation per physical phenomena probed, limiting broad adoption and
Externí odkaz:
http://arxiv.org/abs/2407.16094
Publikováno v:
MICCAI2024
Computer vision technologies markedly enhance the automation capabilities of robotic-assisted minimally invasive surgery (RAMIS) through advanced tool tracking, detection, and localization. However, the limited availability of comprehensive surgical
Externí odkaz:
http://arxiv.org/abs/2407.14846
Autor:
Chen, An, Wang, Zhilong, Vidaurre, Karl Luigi Loza, Han, Yanqiang, Ye, Simin, Tao, Kehao, Wang, Shiwei, Gao, Jing, Li, Jinjin
Molecules and materials are the foundation for the development of modern advanced industries such as energy storage systems and semiconductor devices. However, traditional trial-and-error methods or theoretical calculations are highly resource-intens
Externí odkaz:
http://arxiv.org/abs/2403.12982
Autor:
Ogunlade, Babatunde, Tadesse, Loza F., Li, Hongquan, Vu, Nhat, Banaei, Niaz, Barczak, Amy K., Saleh, Amr. A. E., Prakash, Manu, Dionne, Jennifer A.
Tuberculosis (TB) is the world's deadliest infectious disease, with over 1.5 million deaths annually and 10 million new cases reported each year. The causative organism, Mycobacterium tuberculosis (Mtb) can take nearly 40 days to culture, a required
Externí odkaz:
http://arxiv.org/abs/2306.05653
Autor:
Lee, Jongwan, McDonald, Marissa, Mhlanga, Nikiwe, Kang, Jeon Woong, Karnik, Rohit, Tadesse, Loza F.
Dynabeads are superparamagnetic particles used for immunomagnetic purification of cells and biomolecules. Post-capture, however, target identification relies on tedious culturing, fluorescence staining and/or target amplification. Raman spectroscopy
Externí odkaz:
http://arxiv.org/abs/2305.07199
Publikováno v:
In International Conference on Discovery Science (pp. 78-93). Springer, Cham (2021)
A common approach to aggregate classification estimates in an ensemble of decision trees is to either use voting or to average the probabilities for each class. The latter takes uncertainty into account, but not the reliability of the uncertainty est
Externí odkaz:
http://arxiv.org/abs/2208.07403
Autor:
Safir, Fareeha, Vu, Nhat, Tadesse, Loza F., Firouzi, Kamyar, Banaei, Niaz, Jeffrey, Stefanie S., Saleh, Amr A. E., Butrus, Khuri-Yakub, Dionne, Jennifer A.
Identifying pathogens in complex samples such as blood, urine, and wastewater is critical to detect infection and inform optimal treatment. Surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) can distinguish among multiple pathogen s
Externí odkaz:
http://arxiv.org/abs/2206.09304