Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ali, Khodabandeh"'
Autor:
Yazdani-Jahromi, Mehdi, Yalabadi, Ali Khodabandeh, Rajabi, AmirArsalan, Tayebi, Aida, Garibay, Ivan, Garibay, Ozlem Ozmen
The persistent challenge of bias in machine learning models necessitates robust solutions to ensure parity and equal treatment across diverse groups, particularly in classification tasks. Current methods for mitigating bias often result in informatio
Externí odkaz:
http://arxiv.org/abs/2410.16432
Autor:
Abdidizaji, Sina, Yalabadi, Ali Khodabandeh, Yazdani-Jahromi, Mehdi, Garibay, Ozlem Ozmen, Garibay, Ivan
Health issues and pandemics remain paramount concerns in the contemporary era. Clostridioides Difficile Infection (CDI) stands out as a critical healthcare-associated infection with global implications. Effectively understanding the mechanisms of inf
Externí odkaz:
http://arxiv.org/abs/2401.11656
Autor:
Yalabadi, Ali Khodabandeh, Yazdani-Jahromi, Mehdi, Abdidizaji, Sina, Garibay, Ivan, Garibay, Ozlem Ozmen
The rapid and widespread dissemination of misinformation through social networks is a growing concern in today's digital age. This study focused on modeling fake news diffusion, discovering the spreading dynamics, and designing control strategies. A
Externí odkaz:
http://arxiv.org/abs/2401.11524
Autor:
Yalabadi, Ali Khodabandeh, Yazdani-Jahromi, Mehdi, Yousefi, Niloofar, Tayebi, Aida, Abdidizaji, Sina, Garibay, Ozlem Ozmen
Drug-Target Interaction (DTI) prediction is vital for drug discovery, yet challenges persist in achieving model interpretability and optimizing performance. We propose a novel transformer-based model, FragXsiteDTI, that aims to address these challeng
Externí odkaz:
http://arxiv.org/abs/2311.02326
Autor:
Yazdani-Jahromi, Mehdi, Rajabi, AmirArsalan, Yalabadi, Ali Khodabandeh, Tayebi, Aida, Garibay, Ozlem Ozmen
Bias in training datasets must be managed for various groups in classification tasks to ensure parity or equal treatment. With the recent growth in artificial intelligence models and their expanding role in automated decision-making, ensuring that th
Externí odkaz:
http://arxiv.org/abs/2203.07593
Publikováno v:
Acta Polytechnica CTU Proceedings, Vol 45 (2023)
Collapsible soils, including loess, can support heavy loads at their natural humidity but then collapse rapidly and lose a substantial volume when the humidity increases. Soil collapse potential at different immersion stresses was investigated accord
Externí odkaz:
https://doaj.org/article/c17e3dfd74de483882434fbcf56fbe55
Publikováno v:
Construction and Building Materials. 368:130463
Publikováno v:
Periodica Polytechnica Civil Engineering.
Loessial soil is moisture-sensitive soil susceptible to settle when fully saturated. In this study, efforts were made to investigate the effect of oil pollutants on mechanical behavior of soil. The loess soil was contaminated by 2,4,6,8 and 10% dry w
Publikováno v:
Periodica Polytechnica Civil Engineering.
One of the major causes of building stone deterioration is salt crystallization. In this study, changes of ultrasonic pulse velocities of highly porous limestone (obtained from the Sóskút quarry, Hungary) during capillary water absorption, water sa
Publikováno v:
Periodica Polytechnica Civil Engineering.
Water saturation is considered one of the major factors influencing stones deterioration. The effect of moisture on the deterioration process of stone was investigated with the help of ultrasonic wave velocities. P and S waves velocities were calcula