Extended analysis of stochastic resonance in a modular neuronal network at different scales
Sign Up to like & getrecommendations! Published in 2019 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-019-05246-5
Abstract: Based on the firing dynamics at three different levels of microscale, mesoscale and macroscale, this study presents an extended analysis of stochastic resonance in a modular neuronal network in the spatially correlated white noise environment.… read more here.
Keywords: network; extended analysis; resonance; stochastic resonance ... See more keywords
EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2017.2685338
Abstract: Emotions play a crucial role in decision-making, brain activity, human cognition, and social intercourse. This paper proposes a hierarchical network structure with subnetwork nodes to discriminate three human emotions: 1) positive; 2) neutral; and 3)… read more here.
Keywords: subnetwork nodes; network; eeg based; hierarchical network ... See more keywords
A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2018.2889223
Abstract: In recent years, it has been observed that there is an increasing rate of road accidents due to the low vigilance of drivers. Thus, the estimation of drivers’ vigilance state plays a significant role in… read more here.
Keywords: subnetwork; vigilance; cor; estimation ... See more keywords
Hierarchical One-Class Model With Subnetwork for Representation Learning and Outlier Detection.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3166349
Abstract: The multilayer one-class classification (OCC) frameworks have gained great traction in research on anomaly and outlier detection. However, most multilayer OCC algorithms suffer from loosely connected feature coding, affecting the ability of generated latent space… read more here.
Keywords: representation; one class; subnetwork; outlier detection ... See more keywords
3FL-Net: An Efficient Approach for Improving Performance of Lightweight Detectors in Rainy Weather Conditions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3235339
Abstract: Numerous lightweight detection models have been presented in recent years, yet these detectors are inclined to develop for operating under normal weather conditions without adequate studies for rainy conditions. This is one of the causes… read more here.
Keywords: 3fl net; performance lightweight; detection; subnetwork ... See more keywords
Discriminative Siamese Complementary Tracker With Flexible Update
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3087347
Abstract: The offline generative Siamese trackers are equipped with the pre-defined anchors and the fixed target template. They overlook the target-background discriminative information, and lack the flexible target-specific update strategy. To overcome above drawbacks, we propose… read more here.
Keywords: discriminative siamese; flexible update; subnetwork; attention ... See more keywords
Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1567-2
Abstract: BackgroundWith the advancement of high-throughput technologies and enrichment of popular public databases, more and more research focuses of bioinformatics research have been on computational integration of network and gene expression profiles for extracting context-dependent active… read more here.
Keywords: methods subnetwork; network; gene expression; subnetwork ... See more keywords
Signaling Complexity Measured by Shannon Entropy and Its Application in Personalized Medicine
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2019.00930
Abstract: Traditional approaches to cancer therapy seek common molecular targets in tumors from different patients. However, molecular profiles differ between patients, and most tumors exhibit inherent heterogeneity. Hence, imprecise targeting commonly results in side effects, reduced… read more here.
Keywords: medicine; subnetwork; shannon entropy; personalized medicine ... See more keywords
Identification of Biologically Essential Nodes via Determinative Power in Logical Models of Cellular Processes
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2018.01185
Abstract: A variety of biological networks can be modeled as logical or Boolean networks. However, a simplification of the reality to binary states of the nodes does not ease the difficulty of analyzing the dynamics of… read more here.
Keywords: information; determinative nodes; subnetwork; power nodes ... See more keywords
A Network Analysis of Multiple Myeloma Related Gene Signatures
Sign Up to like & getrecommendations! Published in 2019 at "Cancers"
DOI: 10.3390/cancers11101452
Abstract: Multiple myeloma (MM) is the second most prevalent hematological cancer. MM is a complex and heterogeneous disease, and thus, it is essential to leverage omics data from large MM cohorts to understand the molecular mechanisms… read more here.
Keywords: network; multiple myeloma; subnetwork; gene ... See more keywords