Zobrazeno 1 - 10
of 9 174
pro vyhledávání: '"Sheraz, A."'
Document classification is considered a critical element in automated document processing systems. In recent years multi-modal approaches have become increasingly popular for document classification. Despite their improvements, these approaches are u
Externí odkaz:
http://arxiv.org/abs/2412.10155
Autor:
Zheng, Yuhan, Elliott, Jessie A, Reynolds, John V, Markar, Sheraz R, Papież, Bartłomiej W., group, ENSURE study
Esophageal cancer is a major cause of cancer-related mortality internationally, with high recurrence rates and poor survival even among patients treated with curative-intent surgery. Investigating relevant prognostic factors and predicting prognosis
Externí odkaz:
http://arxiv.org/abs/2409.00163
Autor:
Hamdani, Syed Jawwad Haider, Saifullah, Saifullah, Agne, Stefan, Dengel, Andreas, Ahmed, Sheraz
Obtaining annotated table structure data for complex tables is a challenging task due to the inherent diversity and complexity of real-world document layouts. The scarcity of publicly available datasets with comprehensive annotations for intricate ta
Externí odkaz:
http://arxiv.org/abs/2408.09800
In this study, we introduce StylusAI, a novel architecture leveraging diffusion models in the domain of handwriting style generation. StylusAI is specifically designed to adapt and integrate the stylistic nuances of one language's handwriting into an
Externí odkaz:
http://arxiv.org/abs/2407.15608
Deep learning (DL) has revolutionized the field of document image analysis, showcasing superhuman performance across a diverse set of tasks. However, the inherent black-box nature of deep learning models still presents a significant challenge to thei
Externí odkaz:
http://arxiv.org/abs/2407.03830
This paper presents VAEneu, an innovative autoregressive method for multistep ahead univariate probabilistic time series forecasting. We employ the conditional VAE framework and optimize the lower bound of the predictive distribution likelihood funct
Externí odkaz:
http://arxiv.org/abs/2405.04252
Detecting diseases from social media has diverse applications, such as public health monitoring and disease spread detection. While language models (LMs) have shown promising performance in this domain, there remains ongoing research aimed at refinin
Externí odkaz:
http://arxiv.org/abs/2405.01597
Trustworthiness is a major prerequisite for the safe application of opaque deep learning models in high-stakes domains like medicine. Understanding the decision-making process not only contributes to fostering trust but might also reveal previously u
Externí odkaz:
http://arxiv.org/abs/2404.10356
Autor:
Sheraz, Haleema, Kremer, Stefan C., Skorburg, Joshua August, Taylor, Graham, Sinnott-Armstrong, Walter, Boerstler, Kyle
In response to the pressing challenge of kidney allocation, characterized by growing demands for organs, this research sets out to develop a data-driven solution to this problem, which also incorporates stakeholder values. The primary objective of th
Externí odkaz:
http://arxiv.org/abs/2401.15268
Publikováno v:
Measuring Business Excellence, 2024, Vol. 28, Issue 3/4, pp. 415-425.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MBE-04-2024-0052
