Results 61 to 70 of about 3,279,698 (336)
arXiv, 2023 Due to the widespread use of data-powered systems in our everyday lives, concepts like bias and fairness gained significant attention among researchers and practitioners, in both industry and academia. Such issues typically emerge from the data, which comes with varying levels of quality, used to train supervised machine learning systems.
arxiv
The generalized evolution of linear bias: a tool to test gravity [PDF]
Phys.Rev.D83:123525,2011, 2011 We derive an exact analytical solution for the redshift evolution of linear and scale-independent bias, by solving a second order differential equation based on linear perturbation theory. This bias evolution model is applicable to all different types of dark energy and modified gravity models.
arxiv +1 more source
Robust Bayesian Meta-Analysis: Addressing Publication Bias with Model-Averaging
, 2020 Meta-analysis is an important quantitative tool for cumulative science, but its application is frustrated by publication bias. In order to test and adjust for publication bias, we extend model-averaged Bayesian meta-analysis with selection models.
M. Maier +2 more
semanticscholar +1 more source
Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
Molecular Oncology, EarlyView.The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song +13 more
wiley +1 more source
Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification [PDF]
arXiv, 2021 Background: When neural network emotion and sentiment classifiers are used in public health informatics studies, biases present in the classifiers could produce inadvertently misleading results. Objective: This study assesses the impact of bias on COVID-19 topics, and demonstrates an automatic algorithm for reducing bias when applied to COVID-19 ...
arxiv
Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer
Molecular Oncology, EarlyView.We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi +26 more
wiley +1 more source
Public information and electoral bias [PDF]
Games and Economic Behavior, 2005 We present a theory of strategic voting that predicts elections are more likely to be close and voter turnout is more likely to be high when citizens possess better public information about the composition of the electorate. These findings are disturbing because they suggest that providing more information to potential voters about aggregate political ...
Huseyin Yildirim, Curtis R. Taylor
openaire +3 more sources
Molecular Oncology, EarlyView.This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani +14 more
wiley +1 more source
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias [PDF]
arXiv, 2023 The way the media presents events can significantly affect public perception, which in turn can alter people's beliefs and views. Media bias describes a one-sided or polarizing perspective on a topic. This article summarizes the research on computational methods to detect media bias by systematically reviewing 3140 research papers published between ...
arxiv
Effects of publication bias on conservation planning [PDF]
Conservation Biology, 2019 Conservation planners need reliable information on spatial patterns of biodiversity. However, existing data sets are skewed because some ecosystems, taxa, and locations are underrepresented.
R. Hickisch +5 more
semanticscholar +1 more source