Results 131 to 140 of about 2,443,182 (340)
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising +11 more
wiley +1 more source
Examining measures of schizotypy for racial and gender bias using item response theory and differentiral item functioning [PDF]
, 2022 Desmond J. Spann
openalex +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du +7 more
wiley +1 more source
The Unfairness of Popularity Bias in Recommendation [PDF]
arXiv, 2019 Recommender systems are known to suffer from the popularity bias problem: popular (i.e. frequently rated) items get a lot of exposure while less popular ones are under-represented in the recommendations. Research in this area has been mainly focusing on finding ways to tackle this issue by increasing the number of recommended long-tail items or ...
arxiv
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation [PDF]
arXivIn next basket recommendation (NBR) a set of items is recommended to users based on their historical basket sequences. In many domains, the recommended baskets consist of both repeat items and explore items. Some state-of-the-art NBR methods are heavily biased to recommend repeat items so as to maximize utility.
arxiv
Do group ensemble statistics bias visual working memory for individual items? A registered replication of Brady and Alvarez (2011) [PDF]
, 2020 Frank Papenmeier, J. David Timm
openalex +1 more source
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias [PDF]
arXivCollaborative Filtering (CF) typically suffers from the significant challenge of popularity bias due to the uneven distribution of items in real-world datasets. This bias leads to a significant accuracy gap between popular and unpopular items. It not only hinders accurate user preference understanding but also exacerbates the Matthew effect in ...
arxiv
Gender bias in diagnostic criteria for personality disorders: An item response theory analysis. [PDF]
, 2007 J. Serrita Jane +3 more
openalex +1 more source
Handling rescue therapy in myasthenia gravis clinical trials: why it matters and why you should care
Annals of Clinical and Translational Neurology, EarlyView.Abstract Myasthenia gravis (MG) clinical trials typically allow rescue therapy during follow‐up in the event of marked worsening of MG symptoms. Failure to appropriately address rescue therapy in defining treatment effects and planning statistical analyses may yield biased estimates, increase false positive rates, or decrease statistical power – all of
Justin M. Leach +3 more
wiley +1 more source