Zobrazeno 1 - 10
of 7 816
pro vyhledávání: '"Alomar AS"'
Autor:
Alomar, Khaled, Chavdarova, Tatjana
This paper studies the behavior of the extragradient algorithm when applied to hypomonotone operators, a class of problems that extends beyond the classical monotone setting. While the extragradient method is widely known for its efficacy in solving
Externí odkaz:
http://arxiv.org/abs/2410.09182
Autor:
AlOmar, Eman Abdullah
Context: Modern code review is a widely employed technique in both industrial and open-source projects, serving to enhance software quality, share knowledge, and ensure compliance with coding standards and guidelines. While code review is extensively
Externí odkaz:
http://arxiv.org/abs/2410.04678
Autor:
Alomar, Antonia, Rubio, Ricardo, Salort, Laura, Albaiges, Gerard, Payà, Antoni, Piella, Gemma, Sukno, Federico
Craniofacial anomalies indicate early developmental disturbances and are usually linked to many genetic syndromes. Early diagnosis is critical, yet ultrasound (US) examinations often fail to identify these features. This study presents an AI-driven t
Externí odkaz:
http://arxiv.org/abs/2409.02826
In recent years, deep learning methods have shown impressive results for camera-based remote physiological signal estimation, clearly surpassing traditional methods. However, the performance and generalization ability of Deep Neural Networks heavily
Externí odkaz:
http://arxiv.org/abs/2407.21519
Autor:
Parida, Abhijeet, Alomar, Antonia, Jiang, Zhifan, Roshanitabrizi, Pooneh, Tapp, Austin, Ledesma-Carbayo, Maria, Xu, Ziyue, Anwar, Syed Muhammed, Linguraru, Marius George, Roth, Holger R.
Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-specific fine-tuning. For histopathology, stain normalization techniques
Externí odkaz:
http://arxiv.org/abs/2407.13632
Human Action Recognition (HAR) encompasses the task of monitoring human activities across various domains, including but not limited to medical, educational, entertainment, visual surveillance, video retrieval, and the identification of anomalous act
Externí odkaz:
http://arxiv.org/abs/2407.06162
Autor:
Peruma, Anthony, AlOmar, Eman Abdullah, Aljedaani, Wajdi, Newman, Christian D., Mkaouer, Mohamed Wiem
Educating students about software testing practices is integral to the curricula of many computer science-related courses and typically involves students writing unit tests. Similar to production/source code, students might inadvertently deviate from
Externí odkaz:
http://arxiv.org/abs/2404.10185
Autor:
AlOmar, Eman Abdullah, Knobloch, Benjamin, Kain, Thomas, Kalish, Christopher, Mkaouer, Mohamed Wiem, Ouni, Ali
AntiCopyPaster is an IntelliJ IDEA plugin, implemented to detect and refactor duplicate code interactively as soon as a duplicate is introduced. The plugin only recommends the extraction of a duplicate when it is worth it. In contrast to current Extr
Externí odkaz:
http://arxiv.org/abs/2402.06035
Autor:
AlOmar, Eman Abdullah, Venkatakrishnan, Anushkrishna, Mkaouer, Mohamed Wiem, Newman, Christian D., Ouni, Ali
Large Language Models (LLMs), like ChatGPT, have gained widespread popularity and usage in various software engineering tasks, including refactoring, testing, code review, and program comprehension. Despite recent studies delving into refactoring doc
Externí odkaz:
http://arxiv.org/abs/2402.06013
Code refactoring is widely recognized as an essential software engineering practice to improve the understandability and maintainability of the source code. The Extract Method refactoring is considered as "Swiss army knife" of refactorings, as develo
Externí odkaz:
http://arxiv.org/abs/2312.12600