Least square based ensemble deep learning for inertia tensor identification of combined spacecraft
Sign Up to like & getrecommendations! Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2020.106189
Abstract: Abstract The high accurate identification of inertia tensor of combined spacecraft, which is composed of a servicing spacecraft and a target, is necessary to perform attitude control. Due to the uncertainty of the operating environments… read more here.
Keywords: ensemble deep; combined spacecraft; inertia tensor; deep learning ... See more keywords
Physiological Feature Based Emotion Recognition via an Ensemble Deep Autoencoder with Parsimonious Structure
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1220
Abstract: Abstract Since the deep learning classifier has the capability to hierarchically abstract the useful information from the physiological signals, it receives more attention in human emotion recognition in recent studies. Considering the structure of the… read more here.
Keywords: ensemble deep; emotion recognition; recognition; autoencoder parsimonious ... See more keywords
Ensemble deep relevant learning framework for semi-supervised soft sensor modeling of industrial processes
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.07.086
Abstract: Abstract Deep learning has been growing in popularity for soft sensor modeling of nonlinear industrial processes, infeuality-related variables. However, applications may be highly nonlinear, and the quantity of labeled samples is considerably limited. The extraction… read more here.
Keywords: industrial processes; sensor modeling; ensemble deep; soft sensor ... See more keywords
Graph embedded ensemble deep randomized network for diagnosis of Alzheimer's disease.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3202707
Abstract: Randomized shallow/deep neural networks with closed form solution avoid the shortcomings that exist in the back propagation (BP) based trained neural networks. Ensemble deep random vector functional link (edRVFL) network utilize the strength of two… read more here.
Keywords: graph embedded; alzheimer disease; ensemble deep; diagnosis alzheimer ... See more keywords
Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3154891
Abstract: Objective: Independent component analysis (ICA) is commonly used to remove noisy artifacts from multi-channel scalp electroencephalogram (EEG) signals. ICA decomposes EEG into different independent components (ICs) and then, experts remove the noisy ones. This process… read more here.
Keywords: neural network; ensemble deep; independent components; deep neural ... See more keywords
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
Sign Up to like & getrecommendations! Published in 2020 at "International journal of neural systems"
DOI: 10.1142/s0129065720500124
Abstract: Deep learning models for MRI classification face two recurring problems: they are typically limited by low sample size, and are abstracted by their own complexity (the "black box problem"). In this paper, we train a… read more here.
Keywords: ensemble deep; mixed site; versus; large mixed ... See more keywords
Ensemble deep learning for tuberculosis detection
Sign Up to like & getrecommendations! Published in 2020 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v17.i2.pp1014-1020
Abstract: Tuberculosis (TB) is one of the deadliest infectious disease in the world. TB is caused by a type of tubercle bacillus called Mycobacterium Tuberculosis. Early detection of TB is pivotal to decrease the morbidity and… read more here.
Keywords: learning tuberculosis; ensemble deep; tuberculosis; deep learning ... See more keywords
Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2022.1025330
Abstract: Introduction Despite the many benefits immunotherapy has brought to patients with different cancers, its clinical applications and improvements are still hindered by drug resistance. Fostering a reliable approach to identifying sufferers who are sensitive to… read more here.
Keywords: self attention; learning enhanced; ensemble deep; elise ... See more keywords
Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content
Sign Up to like & getrecommendations! Published in 2020 at "Algorithms"
DOI: 10.3390/a13040083
Abstract: Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently cannot be accurately described by a single… read more here.
Keywords: learning multilabel; ensemble deep; classification; deep learning ... See more keywords
Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening
Sign Up to like & getrecommendations! Published in 2020 at "Diagnostics"
DOI: 10.3390/diagnostics10070451
Abstract: Automated Visual Examination (AVE) is a deep learning algorithm that aims to improve the effectiveness of cervical precancer screening, particularly in low- and medium-resource regions. It was trained on data from a large longitudinal study… read more here.
Keywords: ensemble deep; image; precancer screening; learning ... See more keywords
EDLDR: An Ensemble Deep Learning Technique for Detection and Classification of Diabetic Retinopathy
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics13010124
Abstract: Diabetic retinopathy (DR) is an ophthalmological disease that causes damage in the blood vessels of the eye. DR causes clotting, lesions or haemorrhage in the light-sensitive region of the retina. Person suffering from DR face… read more here.
Keywords: ensemble deep; detection; deep learning; model ... See more keywords