Zobrazeno 1 - 10
of 22 707
pro vyhledávání: '"A A Abdullahi"'
Let $[n]$ be a finite chain $\{1, 2, \ldots, n\}$, and let $\mathcal{LS}_{n}$ be the semigroup consisting of all isotone and order-decreasing partial transformations on $[n]$. Moreover, let $\mathcal{SS}_{n} = \{\alpha \in \mathcal{LS}_{n} : \, 1 \in
Externí odkaz:
http://arxiv.org/abs/2412.13675
Detecting Dark Patterns in User Interfaces Using Logistic Regression and Bag-of-Words Representation
Dark patterns in user interfaces represent deceptive design practices intended to manipulate users' behavior, often leading to unintended consequences such as coerced purchases, involuntary data disclosures, or user frustration. Detecting and mitigat
Externí odkaz:
http://arxiv.org/abs/2412.14187
Autor:
Bravo, Alexia, Schneider, Adam C., Casewell, Sarah, Rothermich, Austin, Faherty, Jacqueline K., French, Jenni R., Bickle, Thomas P., Meisner, Aaron M., Kirkpatrick, J. Davy, Kuchner, Marc J., Burgasser, Adam J., Marocco, Federico, Debes, John H., Sainio, Arttu, Gramaize, Léopold, Kiwy, Frank, Jalowiczor, Peter A., Abdullahi, Awab
We conducted a search for new ultracool companions to nearby white dwarfs using multiple methods, including the analysis of colors and examination of images in both the optical and the infrared. Through this process, we identified fifty-one previousl
Externí odkaz:
http://arxiv.org/abs/2412.04597
In this paper, we introduce the Actions and Objects Pathways (AOPath) for out-of-domain generalization in video question answering tasks. AOPath leverages features from a large pretrained model to enhance generalizability without the need for explici
Externí odkaz:
http://arxiv.org/abs/2411.19434
Autor:
Olatunji, Tobi, Nimo, Charles, Owodunni, Abraham, Abdullahi, Tassallah, Ayodele, Emmanuel, Sanni, Mardhiyah, Aka, Chinemelu, Omofoye, Folafunmi, Yuehgoh, Foutse, Faniran, Timothy, Dossou, Bonaventure F. P., Yekini, Moshood, Kemp, Jonas, Heller, Katherine, Omeke, Jude Chidubem, MD, Chidi Asuzu, Etori, Naome A., Ndiaye, Aimérou, Okoh, Ifeoma, Ocansey, Evans Doe, Kinara, Wendy, Best, Michael, Essa, Irfan, Moore, Stephen Edward, Fourie, Chris, Asiedu, Mercy Nyamewaa
Recent advancements in large language model(LLM) performance on medical multiple choice question (MCQ) benchmarks have stimulated interest from healthcare providers and patients globally. Particularly in low-and middle-income countries (LMICs) facing
Externí odkaz:
http://arxiv.org/abs/2411.15640
Over a decade there has been a rapid growth in Nigerian educational system particularly higher education. Various institutions have come up both from public and private sector offering many of courses both under and post graduate students. Therefore,
Externí odkaz:
http://arxiv.org/abs/2411.15152
Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to delays and
Externí odkaz:
http://arxiv.org/abs/2410.15437
Autor:
Chukkol, Abdulrahman Hamman Adama, Luo, Senlin, Sharif, Kashif, Haruna, Yunusa, Abdullahi, Muhammad Muhammad
Binary program vulnerability detection is critical for software security, yet existing deep learning approaches often rely on source code analysis, limiting their ability to detect unknown vulnerabilities. To address this, we propose VulCatch, a bina
Externí odkaz:
http://arxiv.org/abs/2408.07181
Autor:
Saka, Abdullahi, Taiwo, Ridwan, Saka, Nurudeen, Oluleye, Benjamin, Dauda, Jamiu, Akanbi, Lukman
Effective management of construction and demolition waste (C&DW) is crucial for sustainable development, as the industry accounts for 40% of the waste generated globally. The effectiveness of the C&DW management relies on the proper quantification of
Externí odkaz:
http://arxiv.org/abs/2407.14847
Autor:
Mamman, Hussaini, Basri, Shuib, Balogun, Abdullateef, Imam, Abubakar Abdullahi, Kumar, Ganesh, Capretz, Luiz Fernando
Publikováno v:
13th Computer Science On-line Conference, Lecture Notes on Networks and Systems, Springer, 13 pages, April 2024
The widespread adoption of ML systems across critical domains like hiring, finance, and healthcare raises growing concerns about their potential for discriminatory decision-making based on protected attributes. While efforts to ensure fairness during
Externí odkaz:
http://arxiv.org/abs/2406.17906