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of 8
pro vyhledávání: '"Asgarian, Azin"'
In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact. A common strategy to identify fraudulent claims is looking for inconsistencies in the supporting evidence. However, this is a laborious and
Externí odkaz:
http://arxiv.org/abs/2301.07526
Autor:
Saha, Rohit, Fang, Mengyi, Yasodhara, Angeline, Truskovskyi, Kyryl, Asgarian, Azin, Homola, Daniel, Shah, Raahil, Dieleman, Frederik, Weatheritt, Jack, Rogers, Thomas
After a natural disaster, such as a hurricane, millions are left in need of emergency assistance. To allocate resources optimally, human planners need to accurately analyze data that can flow in large volumes from several sources. This motivates the
Externí odkaz:
http://arxiv.org/abs/2206.09242
Publikováno v:
International Cross-Domain Conference for Machine Learning and Knowledge Extraction 2021 Aug 17 (pp. 293-308). Springer, Cham
The recent increase in the deployment of machine learning models in critical domains such as healthcare, criminal justice, and finance has highlighted the need for trustworthy methods that can explain these models to stakeholders. Feature importance
Externí odkaz:
http://arxiv.org/abs/2110.00086
Workplace injuries result in substantial human and financial losses. As reported by the International Labour Organization (ILO), there are more than 374 million work-related injuries reported every year. In this study, we investigate the problem of i
Externí odkaz:
http://arxiv.org/abs/1906.03080
Autor:
Asgarian, Azin, Zhao, Shun, Ashraf, Ahmed B., Browne, M. Erin, Prkachin, Kenneth M., Mihailidis, Alex, Hadjistavropoulos, Thomas, Taati, Babak
Accurate facial expression analysis is an essential step in various clinical applications that involve physical and mental health assessments of older adults (e.g. diagnosis of pain or depression). Although remarkable progress has been achieved towar
Externí odkaz:
http://arxiv.org/abs/1905.07446
Autor:
Asgarian, Azin, Sobhani, Parinaz, Zhang, Ji Chao, Mihailescu, Madalin, Sibilia, Ariel, Ashraf, Ahmed Bilal, Taati, Babak
In recent years, supervised machine learning models have demonstrated tremendous success in a variety of application domains. Despite the promising results, these successful models are data hungry and their performance relies heavily on the size of t
Externí odkaz:
http://arxiv.org/abs/1812.01063
Active appearance models (AAMs) are a class of generative models that have seen tremendous success in face analysis. However, model learning depends on the availability of detailed annotation of canonical landmark points. As a result, when accurate A
Externí odkaz:
http://arxiv.org/abs/1708.08508
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