Zobrazeno 1 - 10
of 49 088
pro vyhledávání: '"A Samia"'
Autor:
Lachemat, Houssam Eddine-Othman, Abbas, Akli, Oukas, Nourredine, Kheir, Yassine El, Haboussi, Samia, Shammur, Absar Chowdhury
The paper introduces and publicly releases (Data download link available after acceptance) CAFE -- the first Code-switching dataset between Algerian dialect, French, and english languages. The CAFE speech data is unique for (a) its spontaneous speaki
Externí odkaz:
http://arxiv.org/abs/2411.13424
Autor:
Delgrange, Camille, Demler, Olga, Mora, Samia, Menze, Bjoern, de la Rosa, Ezequiel, Davoudi, Neda
Predicting stroke risk is a complex challenge that can be enhanced by integrating diverse clinically available data modalities. This study introduces a self-supervised multimodal framework that combines 3D brain imaging, clinical data, and image-deri
Externí odkaz:
http://arxiv.org/abs/2411.09822
Autor:
Tosunlu, Berkay, Guillaume, Joseph H. A., Tsoukiàs, Alexis, Hassenforder, Emeline, Chrii, Samia, Braiki, Houssem, Pluchinotta, Irene
Groundwater management, especially in regions like Tunisia, is challenging due to diverse stakeholder interests and the dry structure of climate, which is extremely challenging for the sustainability of water resources. This paper proposes an innovat
Externí odkaz:
http://arxiv.org/abs/2410.05303
Fairness in medical AI is increasingly recognized as a crucial aspect of healthcare delivery. While most of the prior work done on fairness emphasizes the importance of equal performance, we argue that decreases in fairness can be either harmful or n
Externí odkaz:
http://arxiv.org/abs/2409.19940
Disaster events often unfold rapidly, necessitating a swift and effective response. Developing action plans, resource allocation, and resolution of help requests in disaster scenarios is time-consuming and complex since disaster-relevant information
Externí odkaz:
http://arxiv.org/abs/2409.00004
Intrusion detection is vital for securing computer networks against malicious activities. Traditional methods struggle to detect complex patterns and anomalies in network traffic effectively. To address this issue, we propose a system combining deep
Externí odkaz:
http://arxiv.org/abs/2408.01792
In this article, we investigate a competitive reaction-diffusion system modelling the interaction between several species of mosquitoes. In particular, it has been observed that in tropical regions, Aedes aegypti mosquitoes are well established in ur
Externí odkaz:
http://arxiv.org/abs/2405.14360
The end of Moore's Law and Dennard Scaling has slowed processor improvements in the past decade. While multi-core processors have improved performance, they are limited by the application's level of parallelism, as prescribed by Amdahl's Law. This ha
Externí odkaz:
http://arxiv.org/abs/2405.09499
Autor:
Kadel, Rajan, Mishra, Bhupesh Kumar, Shailendra, Samar, Abid, Samia, Rani, Maneeha, Mahato, Shiva Prasad
GenAI has gained the attention of a myriad of users in almost every profession. Its advancement has had an intense impact on education, significantly disrupting the assessment design and evaluation methodologies. Despite the potential benefits and po
Externí odkaz:
http://arxiv.org/abs/2405.01805
Shoeprints are a common type of evidence found at crime scenes and are used regularly in forensic investigations. However, existing methods cannot effectively employ deep learning techniques to match noisy and occluded crime-scene shoeprints to a sho
Externí odkaz:
http://arxiv.org/abs/2404.16972