Results 11 to 20 of about 3,096,410 (281)
Coronary Artery Disease Detection by Machine Learning with Coronary Bifurcation Features
Applied Sciences, 2020 Background: Early accurate detection of coronary artery disease (CAD) is one of the most important medical research areas. Researchers are motivated to utilize machine learning techniques for quick and accurate detection of CAD.
Xueping Chen +5 more
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Sensors, 2023 Hepatocellular Carcinoma (HCC) is the most frequent malignant liver tumor and the third cause of cancer-related deaths worldwide. For many years, the golden standard for HCC diagnosis has been the needle biopsy, which is invasive and carries risks ...
Delia-Alexandrina Mitrea +5 more
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Journal of Communications Software and Systems, 2022 Counter-Propagation-Artificial-Neural-Networks (C P-ANNs) have been applied in several domains due to their learning and classification abilities. Regardless of their strength, the CP-ANNs still have some limitations in pattern recognition tasks when ...
Sara Belattar +2 more
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Granular Support Vector Machine Algorithm Based on Affinity Propagation
Jisuanji kexue yu tansuo, 2020 The granular support vector machine (GSVM) can effectively improve the learning efficiency of support vector machine (SVM) but may lose some generalization ability at same time, because it is sensitive to the initial granulation parameter and the ...
CHENG Fengwei, WANG Wenjian
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Using Word Embeddings in Twitter Election Classification [PDF]
, 2016 Word embeddings and convolutional neural networks (CNN) have attracted extensive attention in various classification tasks for Twitter, e.g. sentiment classification.
Macdonald, Craig +2 more
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Applied Sciences, 2020 Machine learning algorithms are crucial for crop identification and mapping. However, many works only focus on the identification results of these algorithms, but pay less attention to their classification performance and mechanism.
Peng Fang +6 more
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Learning distance to subspace for the nearest subspace methods in high-dimensional data classification [PDF]
, 2018 The nearest subspace methods (NSM) are a category of classification methods widely applied to classify high-dimensional data. In this paper, we propose to improve the classification performance of NSM through learning tailored distance metrics from ...
Dong, M., Xue, J-H., Zhu, R.
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Improving BCI performance after classification
Proceedings of the 14th ACM international conference on Multimodal interaction, 2012 Brain-computer interfaces offer a valuable input modality, which unfortunately comes also with a high degree of uncertainty. There are simple methods to improve detection accuracy after the incoming brain activity has already been classified, which can be divided into (1) gathering additional evidence from other sources of information, and (2 ...
Plass - Oude Bos, D. +3 more
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Early detection of student degree-level academic performance using educational data mining [PDF]
PeerJ Computer Science, 2023 Higher educational institutes generate massive amounts of student data. This data needs to be explored in depth to better understand various facets of student learning behavior.
Areej Fatemah Meghji +5 more
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Evaluation methods and decision theory for classification of streaming data with temporal dependence [PDF]
, 2014 Predictive modeling on data streams plays an important role in modern data analysis, where data arrives continuously and needs to be mined in real time.
Bifet, Albert +4 more
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