Pathological brain detection by artificial intelligence in magnetic resonance imaging scanning (invited review)
(Aim) Pathological brain detection (PBD) systems aim to assist and even replace
neuroradiologists to make decisions for patients. This review offers a comprehensive and …
neuroradiologists to make decisions for patients. This review offers a comprehensive and …
Methods of authentication of food grown in organic and conventional systems using chemometrics and data mining algorithms: A review
MD de Lima, R Barbosa - Food Analytical Methods, 2019 - Springer
There is a general consensus that the consumption of organic food can contribute to a
healthy diet; nevertheless, large-scale production of organic food is not an easy task since it …
healthy diet; nevertheless, large-scale production of organic food is not an easy task since it …
Semi-supervised local multi-manifold isomap by linear embedding for feature extraction
In this paper, we mainly propose a semi-supervised local multi-manifold Isomap learning
framework by linear embedding, termed SSMM-Isomap, that can apply the labeled and …
framework by linear embedding, termed SSMM-Isomap, that can apply the labeled and …
Supervised discriminant isomap with maximum margin graph regularization for dimensionality reduction
H Qu, L Li, Z Li, J Zheng - Expert Systems with Applications, 2021 - Elsevier
As one of the most popular nonlinear dimensionality reduction methods, Isomap has been
widely used in pattern recognition and machine learning. However, Isomap has the …
widely used in pattern recognition and machine learning. However, Isomap has the …
Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
Background Microarray data have been widely utilized for cancer classification. The main
characteristic of microarray data is “large p and small n” in that data contain a small number …
characteristic of microarray data is “large p and small n” in that data contain a small number …
Robust image hashing with isomap and saliency map for copy detection
Compression technology for representing image is on demand for efficiently processing
images in the Big Data era. Image hashing is an effective compression technology for …
images in the Big Data era. Image hashing is an effective compression technology for …
Unsupervised nonnegative adaptive feature extraction for data representation
In this paper, we propose a novel unsupervised Nonnegative Adaptive Feature Extraction
(NAFE) algorithm for data representation and classification. The formulation of NAFE …
(NAFE) algorithm for data representation and classification. The formulation of NAFE …
Granger causality driven AHP for feature weighted kNN
G Bhattacharya, K Ghosh, AS Chowdhury - Pattern Recognition, 2017 - Elsevier
The kNN algorithm remains a popular choice for pattern classification till date due to its non-
parametric nature, easy implementation and the fact that its classification error is bounded …
parametric nature, easy implementation and the fact that its classification error is bounded …
Polygonal Coordinate System: Visualizing high-dimensional data using geometric DR, and a deterministic version of t-SNE
Dimensionality Reduction (DR) is useful to understand high-dimensional data. It attracts
wide attention from industry and academia and is employed in areas such as machine …
wide attention from industry and academia and is employed in areas such as machine …