Application of independent component analysis with semi‐supervised Laplacian regularization kernel density estimation
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.23067
Abstract: In this study, fault detection and fault reconstruction methods are developed using matrix factorization of component vectors obtained with independent component analysis (ICA). Two monitoring statistics are used for fault detection in a detailed analysis… read more here.
Keywords: fault; independent component; semi supervised; analysis ... See more keywords
Semi-supervised interactive fusion network for MR image segmentation.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16072
Abstract: BACKGROUND Medical image segmentation is an important task in the diagnosis and treatment of cancers. The low contrast and highly flexible anatomical structure make it challenging to accurately segment the organs or lesions. PURPOSE To… read more here.
Keywords: semi supervised; image segmentation; interactive fusion; segmentation ... See more keywords
Semi-supervised medical image segmentation via cross-guidance and feature-level consistency dual regularization schemes.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16217
Abstract: BACKGROUND Semi-supervised learning is becoming an effective solution for medical image segmentation because of the lack of a large amount of labeled data. PURPOSE Consistency-based strategy is widely used in semi-supervised learning. However, it is still… read more here.
Keywords: semi supervised; image segmentation; regularization; medical image ... See more keywords
FaxMatch: Multi-Curriculum Pseudo-Labeling for Semi-supervised Medical Image Classification.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16312
Abstract: BACKGROUND Semi-supervised learning (SSL) can effectively use information from unlabeled data to improve model performance, which has great significance in medical imaging tasks. Pseudo-labeling is a classical SSL method that uses a model to predict… read more here.
Keywords: semi supervised; pseudo labeling; medical image; pseudo ... See more keywords
Semi-Supervised Super-Resolution of Diffusion-Weighted Images Based on Multiple References.
Sign Up to like & getrecommendations! Published in 2023 at "NMR in biomedicine"
DOI: 10.1002/nbm.4919
Abstract: Spatial resolution of diffusion tensor (DT) images is usually compromised to accelerate the acquisitions and the state-of-the-art (SOTA) image super-resolution (SR) reconstruction methods are commonly based on supervised learning models. Considering that the matched low-resolution… read more here.
Keywords: resolution diffusion; semi supervised; resolution; reconstruction ... See more keywords
Semi-supervised inference for nonparametric logistic regression.
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in medicine"
DOI: 10.1002/sim.9737
Abstract: We consider the problem of estimating the nonparametric function in nonparametric logistic regression under semi-supervised framework, where a relatively small size labeled data set collected by case-control sampling and a relatively large size of unlabeled… read more here.
Keywords: semi supervised; nonparametric logistic; function; logistic regression ... See more keywords
A new branch-and-bound approach to semi-supervised support vector machine
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2089-y
Abstract: This paper develops a branch-and-bound algorithm to solve the 2-norm soft margin semi-supervised support vector machine. First, the original problem is reformulated as a non-convex quadratically constrained quadratic programming problem with a simple structure. Then,… read more here.
Keywords: support vector; semi supervised; supervised support; vector machine ... See more keywords
Adaptive multiple graph regularized semi-supervised extreme learning machine
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DOI: 10.1007/s00500-018-3109-x
Abstract: Semi-supervised extreme learning machine (SSELM) was proposed as an effective algorithm for machine learning and pattern recognition. However, the performance of SSELM heavily depends on whether the underlying geometrical structure of the data can be… read more here.
Keywords: machine; semi supervised; extreme learning; learning machine ... See more keywords
Semi-supervised fuzzy neighborhood preserving analysis for feature extraction in hyperspectral remote sensing images
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3279-y
Abstract: Semi-supervised feature extraction methods are an important focus of interest in data mining and machine learning areas. These methods are improved methods based on learning from a combination of labeled and unlabeled data. In this… read more here.
Keywords: semi supervised; method; remote sensing; feature extraction ... See more keywords
Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04363-x
Abstract: The backbone of the economy, security and sustainability of a state is inseparably linked to the security of its critical infrastructure. Critical infrastructures define goods, systems or subsystems that are essential to maintain the vital… read more here.
Keywords: detection system; system; semi supervised; anomaly detection ... See more keywords
Remaining useful life predictions for turbofan engine degradation based on concurrent semi-supervised model
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06089-1
Abstract: As a crucial and expensive component of the aircraft, it is important to effectively predict its remaining useful life (RUL) so as to reduce maintenance costs and improve maintenance strategies. In this paper, a novel… read more here.
Keywords: useful life; semi supervised; supervised model; remaining useful ... See more keywords