Zobrazeno 1 - 10
of 10 517
pro vyhledávání: '"A. Rahat"'
This paper proposes a dataset augmentation method by fine-tuning pre-trained diffusion models. Generating images using a pre-trained diffusion model with textual conditioning often results in domain discrepancy between real data and generated images.
Externí odkaz:
http://arxiv.org/abs/2412.15358
Autor:
Absur, Md Nurul, Saha, Sourya, Nova, Sifat Nawrin, Nasif, Kazi Fahim Ahmad, Nasib, Md Rahat Ul
A Content Delivery Network (CDN) is a powerful system of distributed caching servers that aims to accelerate content delivery, like high-definition video, IoT applications, and ultra-low-latency services, efficiently and with fast velocity. This has
Externí odkaz:
http://arxiv.org/abs/2412.09474
Satirical news is real news combined with a humorous comment or exaggerated content, and it often mimics the format and style of real news. However, satirical news is often misunderstood as misinformation, especially by individuals from different cul
Externí odkaz:
http://arxiv.org/abs/2411.10730
Autor:
Rahat, Mahmoud, Mashhadi, Peyman Sheikholharam, Nowaczyk, Sławomir, Choudhury, Shamik, Petrin, Leo, Rognvaldsson, Thorsteinn, Voskou, Andreas, Metta, Carlo, Savelli, Claudio
This paper presents an overview of the Volvo Discovery Challenge, held during the ECML-PKDD 2024 conference. The challenge's goal was to predict the failure risk of an anonymized component in Volvo trucks using a newly published dataset. The test dat
Externí odkaz:
http://arxiv.org/abs/2409.11446
Scaling laws dictate that the performance of AI models is proportional to the amount of available data. Data augmentation is a promising solution to expanding the dataset size. Traditional approaches focused on augmentation using rotation, translatio
Externí odkaz:
http://arxiv.org/abs/2409.00547
Dark sectors provide beyond Standard Model scenarios which can address unresolved puzzles, such as the observed dark matter abundance or the baryon asymmetry of the Universe. A naturally small portal to the dark sector is obtained if dark-sector inte
Externí odkaz:
http://arxiv.org/abs/2407.21100
Autor:
Buono, Vincenzo, Mashhadi, Peyman Sheikholharam, Rahat, Mahmoud, Tiwari, Prayag, Byttner, Stefan
Although input-gradients techniques have evolved to mitigate and tackle the challenges associated with gradients, modern gradient-weighted CAM approaches still rely on vanilla gradients, which are inherently susceptible to the saturation phenomena. D
Externí odkaz:
http://arxiv.org/abs/2406.01274
The spontaneous breaking of a $U(1)$ symmetry via an intermediate discrete symmetry may yield a hybrid topological defect of \emph{domain walls bounded by cosmic strings}. The decay of this defect network leads to a unique gravitational wave signal s
Externí odkaz:
http://arxiv.org/abs/2404.16931
With the universal adoption of machine learning in healthcare, the potential for the automation of societal biases to further exacerbate health disparities poses a significant risk. We explore algorithmic fairness from the perspective of feature sele
Externí odkaz:
http://arxiv.org/abs/2403.19165
Autor:
Akhtar, Mohammad Majid, Bhuiyan, Navid Shadman, Masood, Rahat, Ikram, Muhammad, Kanhere, Salil S.
The detection of automated accounts, also known as "social bots", has been an increasingly important concern for online social networks (OSNs). While several methods have been proposed for detecting social bots, significant research gaps remain. Firs
Externí odkaz:
http://arxiv.org/abs/2402.03740