BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 35345555)

  • 21. Classification of Chaotic Squeak and Rattle Vibrations by CNN Using Recurrence Pattern.
    Nam J; Kang J
    Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884057
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Labeling Method for Financial Time Series Prediction Based on Trends.
    Wu D; Wang X; Su J; Tang B; Wu S
    Entropy (Basel); 2020 Oct; 22(10):. PubMed ID: 33286931
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Taming the Chaos in Neural Network Time Series Predictions.
    Raubitzek S; Neubauer T
    Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828122
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data.
    Kim T; Kim HY
    PLoS One; 2019; 14(2):e0212320. PubMed ID: 30768647
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Integration of Random Forest Classifiers and Deep Convolutional Neural Networks for Classification and Biomolecular Modeling of Cancer Driver Mutations.
    Agajanian S; Oluyemi O; Verkhivker GM
    Front Mol Biosci; 2019; 6():44. PubMed ID: 31245384
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A convolutional neural network algorithm for automatic segmentation of head and neck organs at risk using deep lifelong learning.
    Chan JW; Kearney V; Haaf S; Wu S; Bogdanov M; Reddick M; Dixit N; Sudhyadhom A; Chen J; Yom SS; Solberg TD
    Med Phys; 2019 May; 46(5):2204-2213. PubMed ID: 30887523
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A carbon price hybrid forecasting model based on data multi-scale decomposition and machine learning.
    Yang P; Wang Y; Zhao S; Chen Z; Li Y
    Environ Sci Pollut Res Int; 2023 Jan; 30(2):3252-3269. PubMed ID: 35943654
    [TBL] [Abstract][Full Text] [Related]  

  • 28. [Prediction of schistosomiasis infection rates of population based on ARIMA-NARNN model].
    Ke-Wei W; Yu W; Jin-Ping L; Yu-Yu J
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2016 Jul; 28(6):630-634. PubMed ID: 29469251
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework.
    Khan ZA; Hussain T; Ullah A; Rho S; Lee M; Baik SW
    Sensors (Basel); 2020 Mar; 20(5):. PubMed ID: 32143371
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation.
    Khullar S; Singh N
    Environ Sci Pollut Res Int; 2022 Feb; 29(9):12875-12889. PubMed ID: 33988840
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis.
    Chen J; Yang S; Zhang D; Nanehkaran YA
    Knowl Inf Syst; 2021; 63(10):2693-2718. PubMed ID: 34465934
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Stock Price Movement Prediction Using Sentiment Analysis and CandleStick Chart Representation.
    Ho TT; Huang Y
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883961
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering.
    Huang SG; Chung MK; Qiu A;
    Neural Comput Appl; 2021 Oct; 33(20):13693-13704. PubMed ID: 34937994
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network.
    Chen R; Wang M; Lai Y
    PLoS One; 2020; 15(7):e0235783. PubMed ID: 32634167
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Forecasting Bitcoin closing price series using linear regression and neural networks models.
    Uras N; Marchesi L; Marchesi M; Tonelli R
    PeerJ Comput Sci; 2020; 6():e279. PubMed ID: 33816930
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A personalized blood glucose level prediction model with a fine-tuning strategy: A proof-of-concept study.
    Seo W; Park SW; Kim N; Jin SM; Park SM
    Comput Methods Programs Biomed; 2021 Nov; 211():106424. PubMed ID: 34598081
    [TBL] [Abstract][Full Text] [Related]  

  • 37. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
    Vu H; Kim HC; Jung M; Lee JH
    Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Time-series analysis with smoothed Convolutional Neural Network.
    Wibawa AP; Utama ABP; Elmunsyah H; Pujianto U; Dwiyanto FA; Hernandez L
    J Big Data; 2022; 9(1):44. PubMed ID: 35495076
    [TBL] [Abstract][Full Text] [Related]  

  • 39. HN-CNN: A Heterogeneous Network Based on Convolutional Neural Network for m
    Zhang L; Chen J; Ma J; Liu H
    Front Genet; 2021; 12():655284. PubMed ID: 33747055
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Deep reinforcement learning stock market trading, utilizing a CNN with candlestick images.
    Brim A; Flann NS
    PLoS One; 2022; 17(2):e0263181. PubMed ID: 35180250
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.