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  1. 3001
    Classification of Fibrillation Organisation Using Electrocardiograms to Guide Mechanism-Directed Treatments
    “...) feature analysis and machine learning.Methods: In this study, we proposed a novel ECG classification...”
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  2. 3002
    On solving classes of positive-definite quantum linear systems with quadratically improved runtime in the condition number
    por Davide Orsucci, Vedran Dunjko
    Publicado 2021
    “... of computationally intractable differential equations and speed-ups in machine learning. A fundamental parameter...”
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  3. 3003
    A Meta Learning-Based Approach for Zero-Shot Co-Training
    por Guy Zaks, Gilad Katz
    Publicado 2021
    “...The lack of labeled data is one of the main obstacles to the application of machine learning...”
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  4. 3004
    Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features
    “...Abstract Robust machine learning models based on radiomic features might allow for accurate...”
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  5. 3005
    Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features
    “... efficient models, several powerful machine learning algorithms, including two feature selection methods...”
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  6. 3006
    An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks
    “... of such patients is rising at an alarming rate. In this research work, we have employed machine learning approach...”
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  7. 3007
    Better Effectiveness of Multi-Integrated Neural Networks: Take Stock Big Data as an Example
    por HangLin Lu, XiuYun Peng
    Publicado 2021
    “... in the traditional machine learning thinking is applied to deep learning, as an individual with a variety of neural...”
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  8. 3008
    Toward Learning in Neuromorphic Circuits Based on Quantum Phase Slip Junctions
    “... of neuromorphic circuits for machine learning applications because they exhibit desirable properties...”
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  9. 3009
    Integrated Cells and Collagen Fibers Spatial Image Analysis
    “... in combination with spatial analysis and machine learning can reveal novel structural patterns in normal...”
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  10. 3010
    How Data is Helping to Fight COVID-19 Pandemic
    “... and machine learning, were also extensively used. These techniques have the capability to handle large...”
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  11. 3011
    AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification
    “... massively grows in recent years. Conventional shallow machine learning-based techniques for DDoS attack...”
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  12. 3012
    StackDA: A Stacked Dual Attention Neural Network for Multivariate Time-Series Forecasting
    por Jungsoo Hong, Jinuk Park, Sanghyun Park
    Publicado 2021
    “... information to recognize seasonality more accurately. We compare our model performance with that of machine...”
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  13. 3013
    Modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India
    “... water balances. Basin-averaged model parameters considering P, AET, and runoff (R) using a machine...”
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  14. 3014
    Baseline Power of Theta Oscillations Predicts Mystical-Type Experiences Induced by DMT in a Natural Setting
    “... of these results was supported using a machine learning model for regression trained and tested following a cross...”
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  15. 3015
    Automatic analysis of cognitive presence in online discussions: An approach using deep learning and explainable artificial intelligence
    “.... Thus, we envisage combining the deep learning method and the conventional machine learning algorithms...”
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  16. 3016
    Adaptive ensemble models for medium-term forecasting of water inflow when planning electricity generation under climate change
    “... using an approach based on machine learning methods, which are distinguished by a high degree...”
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  17. 3017
    Natural language processing for cognitive therapy: Extracting schemas from thought records.
    “... is published together with this article for researchers and machine learning enthusiasts to improve upon our...”
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  18. 3018
    Prediction of massive bleeding in pancreatic surgery based on preoperative patient characteristics using a decision tree.
    “... using a decision tree algorithm, which is one machine learning method. One hundred and seventy-five...”
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  19. 3019
    Predicting treatment outcomes following an exacerbation of airways disease.
    “... of exacerbation treatment outcome can be achieved via supervised machine learning combining different predictors...”
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  20. 3020
    Prediction of suicidal ideation and attempt in 9 and 10 year-old children using transdiagnostic risk features.
    “... opportunity to identify suicide risk in youth. The use of machine learning to examine a large number...”
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