Articles with "similarity assessment" as a keyword



Photo by thisisengineering from unsplash

Using Fuzzy Ontology to Improve Similarity Assessment: Method and Evaluation

Sign Up to like & get
recommendations!
Published in 2017 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.21895

Abstract: Assessing semantic similarity is a fundamental requirement for many AI applications. Crisp ontology (CO) is one of the knowledge representation tools that can be used for this purpose. Thanks to the development of semantic web,… read more here.

Keywords: ontology; similarity; similarity assessment; fuzzy ontology ... See more keywords
Photo by thisisengineering from unsplash

Similarity assessment of acoustic emission signals and its application in source localization

Sign Up to like & get
recommendations!
Published in 2017 at "Ultrasonics"

DOI: 10.1016/j.ultras.2016.11.005

Abstract: HighlightsOne AE event defined by multiā€sources in AE localization was analyzed.Similarity assessment was conducted to select signals with high quality.Various methods were applied for similarity assessment.Cluster analysis based on DTW distance is effective to select… read more here.

Keywords: similarity assessment; source; localization; source localization ... See more keywords
Photo from wikipedia

Simultaneous confidence interval methods for analytical similarity assessment

Sign Up to like & get
recommendations!
Published in 2019 at "Journal of Biopharmaceutical Statistics"

DOI: 10.1080/10543406.2019.1657142

Abstract: ABSTRACT In analytical similarity assessment of a biosimilar product, key quality attributes of the test and reference products need to be shown statistically similar. When there were multiple references, similarity among the reference products is… read more here.

Keywords: simultaneous confidence; similarity assessment; similarity; analytical similarity ... See more keywords
Photo from wikipedia

Beyond similarity assessment: selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm

Sign Up to like & get
recommendations!
Published in 2018 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btx643

Abstract: Abstract Motivation Pair Hidden Markov Models (PHMMs) are probabilistic models used for pairwise sequence alignment, a quintessential problem in bioinformatics. PHMMs include three types of hidden states: match, insertion and deletion. Most previous studies have… read more here.

Keywords: hidden states; beyond similarity; similarity assessment; sequence alignment ... See more keywords
Photo by thoughtcatalog from unsplash

A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering

Sign Up to like & get
recommendations!
Published in 2021 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"

DOI: 10.1109/tcbb.2019.2931582

Abstract: Single-cell RNA sequencing (scRNA-seq) technology provides quantitative gene expression profiles at single-cell resolution. As a result, researchers have established new ways to explore cell population heterogeneity and genetic variability of cells. One of the current… read more here.

Keywords: similarity assessment; scrna seq; similarity; gene ... See more keywords