Results 31 to 40 of about 757,511 (305)
Optimization of miRNA-seq data preprocessing. [PDF]
, 2015 The past two decades of microRNA (miRNA) research has solidified the role of these small non-coding RNAs as key regulators of many biological processes and promising biomarkers for disease.
McPherson, John D +2 more
core +1 more source
New data preprocessing trends based on ensemble of multiple preprocessing techniques
, 2020 Data generated by analytical instruments, such as spectrometers, may contain unwanted variation due to measurement mode, sample state and other external physical, chemical and environmental factors.
P. Mishra +4 more
semanticscholar +1 more source
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding [PDF]
ACM Computing Surveys, 2021 Network representation learning (NRL) advances the conventional graph mining of social networks, knowledge graphs, and complex biomedical and physics information networks. Dozens of NRL algorithms have been reported in the literature.
Jingya Zhou +3 more
semanticscholar +1 more source
, 2011 We present a first theoretical analysis of the power of polynomial-time preprocessing for important combinatorial problems from various areas in AI. We consider problems from Constraint Satisfaction, Global Constraints, Satisfiability, Nonmonotonic and ...
Szeider, Stefan
core +1 more source
Detection of Black Spot of Rose Based on Hyperspectral Imaging and Convolutional Neural Network
AgriEngineering, 2020 Black spot is one of the seriously damaging plant diseases in China, especially in rose production. Hyperspectral technology reflects both external features and internal structure information of measured samples, which can be used to identify the disease.
Jingjing Ma +3 more
doaj +1 more source
Fast alignment and preprocessing of chromatin profiles with Chromap
Nature Communications, 2021 As sequencing depth of chromatin studies continually grows deeper for sensitive profiling of regulatory elements or chromatin spatial structures, aligning and preprocessing of these sequencing data have become the bottleneck for analysis. Here we present
Haowen Zhang +12 more
semanticscholar +1 more source
Foods, 2020 Juiciness is a primary index of pear quality and freshness, which is also considered as important as sweetness for the consumers. Development of a non-destructive detection method for pear juiciness is meaningful for producers and sellers. In this study,
Fan Wang, Chunjiang Zhao, Guijun Yang
doaj +1 more source
Comparison of Instance Selection and Construction Methods with Various Classifiers
Applied Sciences, 2020 Instance selection and construction methods were originally designed to improve the performance of the k-nearest neighbors classifier by increasing its speed and improving the classification accuracy.
Marcin Blachnik, Mirosław Kordos
doaj +1 more source
PReaCH: A Fast Lightweight Reachability Index using Pruning and Contraction Hierarchies [PDF]
, 2014 We develop the data structure PReaCH (for Pruned Reachability Contraction Hierarchies) which supports reachability queries in a directed graph, i.e., it supports queries that ask whether two nodes in the graph are connected by a directed path.
Merz, Florian, Sanders, Peter
core +1 more source
Guarantees and Limits of Preprocessing in Constraint Satisfaction and Reasoning [PDF]
, 2014 We present a first theoretical analysis of the power of polynomial-time preprocessing for important combinatorial problems from various areas in AI. We consider problems from Constraint Satisfaction, Global Constraints, Satisfiability, Nonmonotonic and ...
Gaspers, Serge, Szeider, Stefan
core +1 more source