Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Mohammad Amin Alipour"'
Autor:
Aliakbar Shoja, Mojtaba Sani, Nika Balaghirad, Hossein Jafary, Mastoore Sagharichi, Mohammad-amin Alipour, younes yassaghi, Yasaman Nazerian, Meysam Hassani Moghaddam, Amir-Hossein Bayat, Hengameh Ashraf, Abbas Aliaghaei, Paria Davoudi Bavil Olyayi
Background Epilepsy is a prevalent neurological disorder that significantly reduces the patient's quality of life. The present study aims to evaluate whether dental pulp stem cells (DPSCs) transplant effectively decreases inflammation and cell death
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::034c532754f96d2d90fbeef08975a5db
https://doi.org/10.21203/rs.3.rs-2814327/v1
https://doi.org/10.21203/rs.3.rs-2814327/v1
Autor:
Aftab Hussain, Mohammad Amin Alipour
Publikováno v:
2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::512eaaa9f259fb9d684ade21e022a175
https://doi.org/10.1109/icstw55395.2022.00058
https://doi.org/10.1109/icstw55395.2022.00058
Neural code intelligence (CI) models are opaque black-boxes and offer little insight on the features they use in making predictions. This opacity may lead to distrust in their prediction and hamper their wider adoption in safety-critical applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5ab8906276a330ac4b33293aefcce0a
Publikováno v:
Software Impacts. 14:100429
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8057cccff46ea544d696f45ad6d70053
https://doi.org/10.1016/j.simpa.2022.100429
https://doi.org/10.1016/j.simpa.2022.100429
Publikováno v:
Software Impacts. 14:100432
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e87b93464e0a6dab2e4867ff3f6b0cc
https://doi.org/10.1016/j.simpa.2022.100432
https://doi.org/10.1016/j.simpa.2022.100432
Autor:
Giulia Toti, Mohammad Amin Alipour
Publikováno v:
Sn Computer Science
In the first 6 months of 2020, the COVID-19 pandemic forced numerous universities across the globe to quickly transfer all their courses online, a response known as Emergency Remote Teaching. Courses initially designed for face to face delivery had t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ce93232b5f037d6bb690ebbcdc8c968
https://doi.org/10.1007/s42979-021-00733-2
https://doi.org/10.1007/s42979-021-00733-2
Deep Neural Networks (DNNs) are increasingly being used in software engineering and code intelligence tasks. These are powerful tools that are capable of learning highly generalizable patterns from large datasets through millions of parameters. At th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24266f0459ec381e3c743779e0326c14
http://arxiv.org/abs/2106.08704
http://arxiv.org/abs/2106.08704
Publikováno v:
ESEC/SIGSOFT FSE
A wide range of code intelligence (CI) tools, powered by deep neural networks, have been developed recently to improve programming productivity and perform program analysis. To reliably use such tools, developers often need to reason about the behavi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4184c74d1eeef99fbce97d98b297285
http://arxiv.org/abs/2106.03353
http://arxiv.org/abs/2106.03353
Publikováno v:
SAC
The correctness of compilers is instrumental in the safety and reliability of other software systems, as bugs in compilers can produce executables that do not reflect the intent of programmers. Such errors are difficult to identify and debug. Random
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f9418b1ce66068363175b02a37f5f11
https://doi.org/10.1145/3412841.3442047
https://doi.org/10.1145/3412841.3442047
Autor:
Nghi D. Q. Bui, Lingxiao Jiang, Md. Rafiqul Islam Rabin, Yijun Yu, Mohammad Amin Alipour, Ke Wang
With the prevalence of publicly available source code repositories to train deep neural network models, neural program models can do well in source code analysis tasks such as predicting method names in given programs that cannot be easily done by tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b15e9b1889bcc58bf7df968c1bb4c1
http://arxiv.org/abs/2008.01566
http://arxiv.org/abs/2008.01566