Results 241 to 250 of about 23,977,071 (291)

Deep learning-based craniosynostosis classification via suture segmentation and mask-weighted classification. [PDF]

Front Med (Lausanne)
Park D, Jung YU, Kim BJ, Yoo J, Chung J, Jeon S, Kwon H, Kwon S, Choi KY, Shin J, Yang IH.   +10 more
europepmc   +1 more source

MPR-MOPSO-ASFS: A Stable Multi-Objective Feature Selection Algorithm for Metabolomics. [PDF]

Metabolites
Ye Q, Deng Z, Xie X, Huang Q, Luo J.
europepmc   +1 more source

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EARC: Evidential association rule-based classification

Information Sciences, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaojiao Geng, Lianmeng Jiao
exaly   +3 more sources

Rule-Based Classification Systems for Informatics

2008 IEEE Fourth International Conference on eScience, 2008
Classification of data is an important step in the knowledge evolution of sciences. Traditionally, in sciences, classification of data was performed by human experts. Human knowledge can recognize unique functional properties that are necessary and sufficient to place complex structures and phenomena into a particular class or group.
Balachander Krishnamurthy, Tanu Malik, Stephen Stamatis, Venkat Venkatasubramanian, James M. Caruthers   +4 more
openaire   +1 more source

Rule-Based Classification for Evidential Data

2020
In this paper, we tackle the problem of multi-rules based classification for evidential data, i.e., data where imperfection is modeled through the Evidence theory. In this setting, a new algorithm called EviRC is introduced. This method uses different pruning techniques to omit irrelevant rules and defines a new matching criteria between the rules and ...
Nassim Bahri, Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane   +2 more
openaire   +2 more sources

Rule-Based Classification Models of Molecular Autofluorescence

Journal of Chemical Information and Modeling, 2015
Fluorescence-based detection has been commonly used in high-throughput screening (HTS) assays. Autofluorescent compounds, which can emit light in the absence of artificial fluorescent markers, often interfere with the detection of fluorophores and result in false positive signals in these assays. This interference presents a major issue in fluorescence-
Bo-Han Su, Yi-shu Tu, Olivia A. Lin, Yeu-Chern Harn, Meng-yu Shen, Yufeng J. Tseng   +5 more
openaire   +3 more sources

Classification Confidence Of Fuzzy Rule-Based Classifiers

ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho, 2011
In this paper we first introduce the concept of classification confidence in fuzzy rule-based classification. Classification confidence shows the strength of classification for an unseen pattern. Low classification confidence for an unseen pattern means that the classification of that pattern is not very clear compared to that with high classification ...
Tomoharu Nakashima, Ashish Ghosh
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Rule-Based Similarity for Classification

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2009
This paper presents an ongoing research on the problem of assessing a similarity between objects in the context of classification. A new model of similarity is presented, called Rule-based Similarity (RBS), in which the similarity is expressed in terms of higher-level binary features of objects.
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Rule-based classification by means of bipolar criteria

2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MDCM), 2011
Classification problems often play an important role in many decision contexts. Therefore, the design of decision support tools to operate in such contexts usually involves the formulation of adequate classification models. Fuzzy rule-based classifiers FRBCS) are excellent methodological tools for this purpose due to their interpretability and ability ...
Juan Tinguaro Rodríguez, Begoña Vitoriano, Javier Montero   +2 more
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