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Recognition of Cancer Mediating Genes using the Novel Restricted Boltzmann Machines.
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- Wireless Personal Communications, 2024, v. 138, n. 4, p. 2275, doi. 10.1007/s11277-024-11600-7
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- Article
An Application of Deep Belief Networks in Early Warning for Cerebrovascular Disease Risk.
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- Journal of Organizational & End User Computing, 2022, v. 34, n. 4, p. 1, doi. 10.4018/JOEUC.287574
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- Article
Deep neural network‐based mechanical behavior analysis for various masonry infill walls with hybrid fiber mortar.
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- Structural Concrete, 2019, v. 20, n. 6, p. 1974, doi. 10.1002/suco.201900064
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- Article
Image salient object detection with refined deep features via convolution neural network.
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- Journal of Electronic Imaging, 2017, v. 26, n. 6, p. 063018-1, doi. 10.1117/1.JEI.26.6.063018
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- Article
Matrix variate deep belief networks with CP decomposition algorithm and its application.
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- Multimedia Systems, 2020, v. 26, n. 5, p. 571, doi. 10.1007/s00530-020-00666-5
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- Article
Study of damage identification for bridges based on deep belief network.
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- Advances in Structural Engineering, 2020, v. 23, n. 8, p. 1562, doi. 10.1177/1369433219898058
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- Article
Mode-assisted unsupervised learning of restricted Boltzmann machines.
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- Communications Physics, 2020, v. 3, n. 1, p. 1, doi. 10.1038/s42005-020-0373-8
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- Article
A Hybrid Deep Learning Architecture for Latent Topic-based Image Retrieval.
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- Data Science & Engineering, 2018, v. 3, n. 2, p. 166, doi. 10.1007/s41019-018-0063-7
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- Article
基于自适应深度信念网络的商场空调冷负荷预测.
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- Chinese Journal of Refrigeration Technology, 2023, v. 43, n. 2, p. 52, doi. 10.3969/j.issn.2095-4468.2023.02.203
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- Article
Optimization Strategy of a Stacked Autoencoder and Deep Belief Network in a Hyperspectral Remote-Sensing Image Classification Model.
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- Discrete Dynamics in Nature & Society, 2023, p. 1, doi. 10.1155/2023/9150482
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- Article
Calculation of the Ground States of Spin Glasses Using a Restricted Boltzmann Machine.
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- JETP Letters, 2022, v. 115, n. 8, p. 466, doi. 10.1134/S0021364022100381
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- Article
A Comparative Analysis of Deep Learning Approaches for Predicting Breast Cancer Survivability.
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- Archives of Computational Methods in Engineering, 2022, v. 29, n. 5, p. 2959, doi. 10.1007/s11831-021-09679-3
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- Publication type:
- Article
AUTOMATED ADJUSTMENT SYSTEM OF RESTRICTED BOLTZMANN MACHINE.
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- Electronics & Control Systems, 2019, v. 60, n. 2, p. 43, doi. 10.18372/1990-5548.60.13814
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- Article
DEEP LEARNING FUZZY CLASSIFIER.
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- Electronics & Control Systems, 2019, v. 60, n. 2, p. 35, doi. 10.18372/1990-5548.60.13813
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- Publication type:
- Article
Pseudo Temperature of Observed Data.
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- Interdisciplinary Information Sciences, 2012, v. 18, n. 2, p. 185, doi. 10.4036/iis.2012.185
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- Publication type:
- Article
Equipping SBMs with RBMs: an interpretable approach for analysis of networks with covariates.
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- Journal of Complex Networks, 2022, v. 10, n. 2, p. 1, doi. 10.1093/comnet/cnac009
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- Article
Learning spin liquids on a honeycomb lattice with artificial neural networks.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-95523-4
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- Article
Author Correction: Learning spin liquids on a honeycomb lattice with artificial neural networks.
- Published in:
- 2021
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- Publication type:
- Correction Notice
Inverse problems for structured datasets using parallel TAP equations and restricted Boltzmann machines.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-99353-2
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- Publication type:
- Article
Mode-assisted joint training of deep Boltzmann machines.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-98404-y
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- Article
The emerging role of deep learning in cytology.
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- Cytopathology, 2021, v. 32, n. 2, p. 154, doi. 10.1111/cyt.12942
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- Article
Three learning stages and accuracy–efficiency tradeoff of restricted Boltzmann machines.
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- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-33126-x
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- Publication type:
- Article
Learning Coefficient in Bayesian Estimation of Restricted Boltzmann Machine.
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- Journal of Algebraic Statistics, 2013, v. 4, n. 1, p. 31, doi. 10.18409/jas.v4i1.18
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- Publication type:
- Article
CHANGE DETECTION OF BUILDINGS WITH THE UTILIZATION OF A DEEP BELIEF NETWORK AND HIGH-RESOLUTION REMOTE SENSING IMAGES.
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- Fractals, 2022, v. 30, n. 10, p. 1, doi. 10.1142/S0218348X22402551
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- Publication type:
- Article
FORECASTING STOCK MARKET CRASHES VIA REAL-TIME RECESSION PROBABILITIES: A QUANTUM COMPUTING APPROACH.
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- Fractals, 2022, v. 30, n. 5, p. 1, doi. 10.1142/S0218348X22401624
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- Article
BLOCKCHAIN CNN DEEP LEARNING EXPERT SYSTEM FOR HEALTHCARE EMERGENCY.
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- Fractals, 2021, v. 29, n. 6, p. 1, doi. 10.1142/S0218348X21502273
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- Article
Android malicious code Classification using Deep Belief Network.
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- KSII Transactions on Internet & Information Systems, 2018, v. 12, n. 1, p. 454, doi. 10.3837/tiis.2018.01.022
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- Publication type:
- Article
Research Based on the Application and Exploration of Artificial Intelligence in the Field of Traditional Music.
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- Journal of Sensors, 2022, p. 1, doi. 10.1155/2022/5093044
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- Publication type:
- Article
Diversity priors for learning early visual features.
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- Frontiers in Computational Neuroscience, 2015, p. 1, doi. 10.3389/fncom.2015.00104
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- Article
Communication modulation recognition algorithm based on STFT mechanism in combination with unsupervised feature-learning network.
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- Peer-to-Peer Networking & Applications, 2019, v. 12, n. 6, p. 1615, doi. 10.1007/s12083-019-00807-2
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- Publication type:
- Article
Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies.
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- Mathematical & Computational Applications, 2022, v. 27, n. 2, p. N.PAG, doi. 10.3390/mca27020022
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- Article
Prediction of Depth of Sedation from Biological Signals Using Continuous Restricted Boltzmann Machine.
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- Mathematical Problems in Engineering, 2014, p. 1, doi. 10.1155/2014/189040
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- Article
Link prediction in drug-target interactions network using similarity indices.
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- BMC Bioinformatics, 2017, v. 18, p. 1, doi. 10.1186/s12859-017-1460-z
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- Article
Negative Emotion Recognition Algorithm of Network Catchwords Based on Language Feature Dimension.
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- Journal of Computing & Information Technology, 2022, v. 30, n. 4, p. 275, doi. 10.20532/cit.2022.1005686
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- Article
The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.
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- 2019
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- Publication type:
- journal article
Restricted Boltzmann Machine-Assisted Estimation of Distribution Algorithm for Complex Problems.
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- Complexity, 2018, p. 1, doi. 10.1155/2018/2609014
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- Publication type:
- Article
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns.
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- Data Mining & Knowledge Discovery, 2021, v. 35, n. 2, p. 450, doi. 10.1007/s10618-020-00725-5
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- Article
Centered convolutional deep Boltzmann machine for 2D shape modeling.
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- Personal & Ubiquitous Computing, 2022, v. 26, n. 4, p. 913, doi. 10.1007/s00779-020-01487-z
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- Publication type:
- Article
Detecting Epileptic Seizures Using Symplectic Geometry Decomposition-Based Features and Gaussian Deep Boltzmann Machines.
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- International Journal of Image & Graphics, 2024, v. 24, n. 4, p. 1, doi. 10.1142/S021946782450044X
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- Article
THE BACKBONE OF THE FINANCIAL INTERACTION NETWORK USING A MAXIMUM ENTROPY DISTRIBUTION.
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- Advances in Complex Systems, 2022, v. 25, n. 4, p. 1, doi. 10.1142/S0219525922500060
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- Article
Visual inspection for transformer insulation defects by a patrol robot fish based on deep learning.
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- IET Science, Measurement & Technology (Wiley-Blackwell), 2021, v. 15, n. 7, p. 606, doi. 10.1049/smt2.12062
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- Article
A Spiking Stochastic Neuron Based on Stacked InGaZnO Memristors.
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- Advanced Electronic Materials, 2022, v. 8, n. 2, p. 1, doi. 10.1002/aelm.202100918
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- Article
Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks.
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- Journal of Big Data, 2020, v. 7, n. 1, p. 1, doi. 10.1186/s40537-020-00311-y
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- Publication type:
- Article
Quantum machine learning.
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- National Science Review, 2019, v. 6, n. 1, p. 26, doi. 10.1093/nsr/nwy149
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- Article
Generative and discriminative training of Boltzmann machine through quantum annealing.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-34652-4
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- Publication type:
- Article
Assessment of the uncertainty and interpretability of deep learning models for mapping soil salinity using DeepQuantreg and game theory.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-19357-4
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- Publication type:
- Article
Assessment of the uncertainty and interpretability of deep learning models for mapping soil salinity using DeepQuantreg and game theory.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-19357-4
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- Publication type:
- Article
Efficient generative modeling of protein sequences using simple autoregressive models.
- Published in:
- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-25756-4
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- Publication type:
- Article
Reconfigurable Stochastic neurons based on tin oxide/MoS<sub>2</sub> hetero-memristors for simulated annealing and the Boltzmann machine.
- Published in:
- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-26012-5
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- Article
LSTM-GNOG: A New Paradigm to Address Cold Start Movie Recommendation System using LSTM with Gaussian Nesterov's Optimal Gradient.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 6, p. 746, doi. 10.14569/ijacsa.2024.0150675
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- Article