Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Rosina, O"'
Pretrained transformer-based Language Models (LMs) are well-known for their ability to achieve significant improvement on text classification tasks with their powerful word embeddings, but their black-box nature, which leads to a lack of interpretabi
Externí odkaz:
http://arxiv.org/abs/2409.13312
Autor:
Wen, Ximing, Weber, Rosina O., Sen, Anik, Hannan, Darryl, Nesbit, Steven C., Chan, Vincent, Goffi, Alberto, Morris, Michael, Hunninghake, John C., Villalobos, Nicholas E., Kim, Edward, MacLellan, Christopher J.
Point-of-Care Ultrasound (POCUS) is the practice of clinicians conducting and interpreting ultrasound scans right at the patient's bedside. However, the expertise needed to interpret these images is considerable and may not always be present in emerg
Externí odkaz:
http://arxiv.org/abs/2407.06206
Autor:
Hannan, Darryl, Nesbit, Steven C., Wen, Ximing, Smith, Glen, Zhang, Qiao, Goffi, Alberto, Chan, Vincent, Morris, Michael J., Hunninghake, John C., Villalobos, Nicholas E., Kim, Edward, Weber, Rosina O., MacLellan, Christopher J.
Detecting elevated intracranial pressure (ICP) is crucial in diagnosing and managing various neurological conditions. These fluctuations in pressure are transmitted to the optic nerve sheath (ONS), resulting in changes to its diameter, which can then
Externí odkaz:
http://arxiv.org/abs/2403.02236
Autor:
Mainali, Mallika, Weber, Rosina O
We often see the term explainable in the titles of papers that describe applications based on artificial intelligence (AI). However, the literature in explainable artificial intelligence (XAI) indicates that explanations in XAI are application- and d
Externí odkaz:
http://arxiv.org/abs/2307.09673
Publikováno v:
ICCBR XCBR '22: 4th Workshop on XCBR: Case-based Reasoning for the Explanation of Intelligent Systems at ICCBR-2022, September, 2022, Nancy, France
AI methods referred to as interpretable are often discredited as inaccurate by supporters of the existence of a trade-off between interpretability and accuracy. In many problem contexts however this trade-off does not hold. This paper discusses a reg
Externí odkaz:
http://arxiv.org/abs/2305.05111
Autor:
Hannan, Darryl, Nesbit, Steven C., Wen, Ximing, Smith, Glen, Zhang, Qiao, Goffi, Alberto, Chan, Vincent, Morris, Michael J., Hunninghake, John C., Villalobos, Nicholas E., Kim, Edward, Weber, Rosina O., MacLellan, Christopher J.
Point-of-Care Ultrasound (POCUS) refers to clinician-performed and interpreted ultrasonography at the patient's bedside. Interpreting these images requires a high level of expertise, which may not be available during emergencies. In this paper, we su
Externí odkaz:
http://arxiv.org/abs/2212.03282
The National Center for Advancing Translational Sciences(NCATS) Biomedical Data Translator (Translator) aims to attenuate problems faced by translational scientists. Translator is a multi-agent architecture consisting of six autonomous relay agents (
Externí odkaz:
http://arxiv.org/abs/2112.06780
Previous research in interpretable machine learning (IML) and explainable artificial intelligence (XAI) can be broadly categorized as either focusing on seeking interpretability in the agent's model (i.e., IML) or focusing on the context of the user
Externí odkaz:
http://arxiv.org/abs/2108.10437
Autor:
Amiri, Shideh Shams, Weber, Rosina O., Goel, Prateek, Brooks, Owen, Gandley, Archer, Kitchell, Brian, Zehm, Aaron
Explainable artificial intelligence (XAI) methods are currently evaluated with approaches mostly originated in interpretable machine learning (IML) research that focus on understanding models such as comparison against existing attribution approaches
Externí odkaz:
http://arxiv.org/abs/2011.09892