Prediction of anti‐HIV activity on the basis of stacked auto‐encoder
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Chemometrics"
DOI: 10.1002/cem.2916
Abstract: The prediction of biologically active compounds plays a very important role for high‐throughput screening approaches in drug discovery. Most computational models, in this area, concentrate on measuring structural similarities between chemical elements. There are various… read more here.
Keywords: hiv activity; auto encoder; anti hiv; stacked auto ... See more keywords
Applying adversarial auto-encoder for estimating human walking gait abnormality index
Sign Up to like & getrecommendations! Published in 2019 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-019-00790-7
Abstract: This paper proposes an approach that estimates a human walking gait abnormality index using an adversarial auto-encoder (AAE), i.e., a combination of auto-encoder and generative adversarial network (GAN). Since most GAN-based models have been employed… read more here.
Keywords: walking gait; auto encoder; gait abnormality; human walking ... See more keywords
Unsupervised discriminative feature representation via adversarial auto-encoder
Sign Up to like & getrecommendations! Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01581-7
Abstract: Feature representation is generally applied to reducing the dimensions of high-dimensional data to accelerate the process of data handling and enhance the performance of pattern recognition. However, the dimensionality of data nowadays appears to be… read more here.
Keywords: auto encoder; feature representation; adversarial auto; feature ... See more keywords
Sparse Auto-encoder with Smoothed $$l_1$$l1 Regularization
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9668-5
Abstract: Improving the performance on data representation of an auto-encoder could help to obtain a satisfying deep network. One of the strategies to enhance the performance is to incorporate sparsity into an auto-encoder. Fortunately, sparsity for… read more here.
Keywords: auto; smoothed regularization; auto encoder; sparsity auto ... See more keywords
Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2017.04.012
Abstract: BACKGROUND AND OBJECTIVE Feature reduction is an essential stage in computer aided breast cancer diagnosis systems. Multilayer neural networks can be trained to extract relevant features by encoding high-dimensional data into low-dimensional codes. Optimizing traditional… read more here.
Keywords: auto; classification; auto encoder; pareto optimal ... See more keywords
A3D: Attention-based auto-encoder anomaly detector for false data injection attacks
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106795
Abstract: Abstract With the influx of more advanced and more connected computing and control devices, the electric power grid has continuously evolved to rely on communication networks for efficient operation and control. A challenge with these… read more here.
Keywords: auto; based auto; auto encoder; attention based ... See more keywords
A multi-step progressive fault diagnosis method for rolling element bearing based on energy entropy theory and hybrid ensemble auto-encoder.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.11.044
Abstract: It is meaningful to efficiently identify the health status of bearing and automatically learn the effective features from the original vibration signals. In this paper, a multi-step progressive method based on energy entropy (EE) theory… read more here.
Keywords: auto encoder; fault diagnosis; method;
Deep Laplacian Auto-encoder and its application into imbalanced fault diagnosis of rotating machinery
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107320
Abstract: Abstract Generally, the measured health condition data from mechanical system often exhibits imbalanced distribution in real-world cases. To enhance fault diagnostic accuracy of the imbalanced data set, a novel rotating machinery fault imbalanced diagnostic approach… read more here.
Keywords: auto encoder; rotating machinery; fault diagnosis; diagnosis ... See more keywords
Extracting degradation trends for roller bearings by using a moving-average stacked auto-encoder and a novel exponential function
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107371
Abstract: Abstract Building a smooth degradation curve for a bearing can provide a good basis for predicting its remaining useful life, but the traditional models need to fuse multiple models. The stacked auto-encoder (SAE) can extract… read more here.
Keywords: degradation; auto encoder; stacked auto; moving average ... See more keywords
Structural damage identification based on unsupervised feature-extraction via Variational Auto-encoder
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DOI: 10.1016/j.measurement.2020.107811
Abstract: Abstract Structural health monitoring (SHM) is a practical tool for assessing the safety and system performance of existing structures. And structural damage identification has become the core of a SHM system. However, how to extract… read more here.
Keywords: structural damage; damage identification; auto encoder; variational auto ... See more keywords
Auto-encoder based structured dictionary learning for visual classification
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.09.088
Abstract: Abstract Dictionary learning and deep learning can be combined to boost the performance of classification tasks. However, existing combined methods often learn multi-level dictionaries each of which is embedded in a network layer, involve a… read more here.
Keywords: classification; image; auto encoder; dictionary learning ... See more keywords