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of 24 792
pro vyhledávání: '"A Etemadi"'
Autor:
Etemadi, Sepideh, Khashei, Mehdi
Publikováno v:
In Heliyon 15 March 2024 10(5)
Autor:
Sepideh Etemadi, Mehdi Khashei
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26399- (2024)
The creation of predictive models with a high degree of generalizability in chemical analysis and process optimization is of paramount importance. Nonetheless, formulating a prediction model based on collected data from chemical measurements that max
Externí odkaz:
https://doaj.org/article/5b7c89a2b0d64f6b8b72d85fb9378486
Publikováno v:
In Information Sciences December 2023 651
Autor:
Etemadi, Sepideh, Khashei, Mehdi
Publikováno v:
In Measurement December 2021 186
Publikováno v:
Michigan Math. J. 68 (2019), no. 1, 57--69
Based on a maximal inequality type result of Cuculescu, we establish some noncommutative maximal inequalities such as Haj\'ek--Penyi inequality and Etemadi inequality. In addition, we present a noncommutative Kolmogorov type inequality by showing tha
Externí odkaz:
http://arxiv.org/abs/1709.08044
It is essential to detect functional differences in various software engineering tasks, such as automated program repair, mutation testing, and code refactoring. The problem of detecting functional differences between two programs can be reduced to s
Externí odkaz:
http://arxiv.org/abs/2406.10375
Autor:
Yang, Lin, Xu, Shawn, Sellergren, Andrew, Kohlberger, Timo, Zhou, Yuchen, Ktena, Ira, Kiraly, Atilla, Ahmed, Faruk, Hormozdiari, Farhad, Jaroensri, Tiam, Wang, Eric, Wulczyn, Ellery, Jamil, Fayaz, Guidroz, Theo, Lau, Chuck, Qiao, Siyuan, Liu, Yun, Goel, Akshay, Park, Kendall, Agharwal, Arnav, George, Nick, Wang, Yang, Tanno, Ryutaro, Barrett, David G. T., Weng, Wei-Hung, Mahdavi, S. Sara, Saab, Khaled, Tu, Tao, Kalidindi, Sreenivasa Raju, Etemadi, Mozziyar, Cuadros, Jorge, Sorensen, Gregory, Matias, Yossi, Chou, Katherine, Corrado, Greg, Barral, Joelle, Shetty, Shravya, Fleet, David, Eslami, S. M. Ali, Tse, Daniel, Prabhakara, Shruthi, McLean, Cory, Steiner, Dave, Pilgrim, Rory, Kelly, Christopher, Azizi, Shekoofeh, Golden, Daniel
Many clinical tasks require an understanding of specialized data, such as medical images and genomics, which is not typically found in general-purpose large multimodal models. Building upon Gemini's multimodal models, we develop several models within
Externí odkaz:
http://arxiv.org/abs/2405.03162
Large language models (LLM) have proven to be effective at automated program repair (APR). However, using LLMs can be costly, with companies invoicing users by the number of tokens. In this paper, we propose CigaR, the first LLM-based APR tool that f
Externí odkaz:
http://arxiv.org/abs/2402.06598
Autor:
Baudry, Benoit, Etemadi, Khashayar, Fang, Sen, Gamage, Yogya, Liu, Yi, Liu, Yuxin, Monperrus, Martin, Ron, Javier, Silva, André, Tiwari, Deepika
Publikováno v:
IEEE Software, 2024
Generating fake data is an essential dimension of modern software testing, as demonstrated by the number and significance of data faking libraries. Yet, developers of faking libraries cannot keep up with the wide range of data to be generated for dif
Externí odkaz:
http://arxiv.org/abs/2401.17626
Autor:
Sepideh Etemadi, Mehdi Khashei
Modeling and forecasting are among the most powerful and widely-used tools in decision support systems. The Fuzzy Linear Regression (FLR) is the most fundamental method in the fuzzy modeling area in which the uncertain relationship between the target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::362b9e2f4985163a44778676217a6dd5
https://doi.org/10.21203/rs.3.rs-981004/v1
https://doi.org/10.21203/rs.3.rs-981004/v1