Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems
“Matching” procedures in statistics involve construction of datasets with similar covariates between compared groups. Matching has recently been proposed as a means of addressing fairness impossibility (i.e.
Phillip Honenberger+3 more
doaj +1 more source
Unsupervised Spelling Correction for Slovak
This paper introduces a method to automatically propose and choose a correction for an incorrectly written word in a large text corpus written in Slovak.
Daniel Hladek, Jan Stas, Jozef Juhar
doaj +1 more source
A Hybrid Modified Semantic Matching Algorithm Based on Instances Detection With Case Study on Renewable Energy [PDF]
This Matching input keywords with historical or information domain is an important point in modern computations in order to find the best match information domain for specific input queries. Matching algorithms represents hot area of researches in computer science and artificial intelligence.
arxiv
Impact of matching error on linked mortality outcome in a data linkage of secondary mental health data with Hospital Episode Statistics (HES) and mortality records in South East London: a cross-sectional study [PDF]
Amelia Jewell+5 more
openalex +1 more source
In molecular cancer diagnostics, comprehensive genomic profiling (CGP) is going to replace the small NGS panels since it provides all clinically relevant somatic variants as well as genomic biomarkers with clinical value. Here, we compared two CGP assays and demonstrate that the choice for diagnostic implementation will depend on the specific ...
Guy Froyen+17 more
wiley +1 more source
Computing matching statistics on Wheeler DFAs. [PDF]
Conte A+5 more
europepmc +1 more source
Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer
We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas+15 more
wiley +1 more source
Covariant diagrams for one-loop matching
We present a diagrammatic formulation of recently-revived covariant functional approaches to one-loop matching from an ultraviolet (UV) theory to a low-energy effective field theory. Various terms following from a covariant derivative expansion (CDE) are
Zhengkang Zhang
doaj +1 more source
Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park+6 more
wiley +1 more source
Substructure correlation adaptation transfer learning method based on K-means clustering
Domain drifts severely affect the performance of traditional machine learning methods, and existing domain adaptive methods are mainly represented by adaptive adjustment cross-domain through global, class-level, or sample-level distribution adaptation ...
Haoshuang LIU, Yong ZHANG, Yingbo CAO
doaj +2 more sources