has been cited by the following article(s):
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[1]
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Advances in Machine Learning Screening of Food Bioactive Compounds
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Trends in Food Science & …,
2024 |
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[2]
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3d-printed twisting tubular metamaterials with tunable mechanical and torsional characteristics
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International Journal of …,
2024 |
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[3]
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Simultaneous Intake of Chlorella and Ascidian Ethanolamine Plasmalogen Accelerates Activation of BDNF–TrkB–CREB Signaling in Rats
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Molecules,
2024 |
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[4]
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Exploration of the Most Preferred Social Media for the Fashion Business Practices
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2022 |
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[5]
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Integration of Clinicopathological And Genomic Features To Predict The Risk Stratification of TCGA Lung Adenocarcinoma And Lung Squamous Cell Carcinoma …
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Suzek - medRxiv,
2022 |
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[6]
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Auto-ML Web-application for Automated Machine Learning Algorithm Training and evaluation
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2022 IEEE 7th International conference …,
2022 |
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[7]
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Observations and Geoinformation
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… Journal of Applied …,
2022 |
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[8]
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Artificial intelligence in food science and nutrition: a narrative review
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Nutrition …,
2022 |
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[9]
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Probabilistic electrical load forecasting for buildings using Bayesian deep neural networks
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Journal of Building Engineering,
2022 |
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[10]
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A PERSONALIZED ONCOLOGY MOBILE APPLICATION INTEGRATING CLINICAL AND GENOMIC FEATURES TO PREDICT THE RISK STRATIFICATION OF LUNG CANCER PATIENTS VIA MACHINE LEARNING
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Mugla Journal of Science and Technology,
2022 |
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[11]
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Leaf nitrogen content estimation using top-of-canopy airborne hyperspectral data
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International Journal of …,
2021 |
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[12]
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Drone-based sensing for identification of at-risk water and nitrogen stress areas for on-farm management
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2021 |
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[13]
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Applying Machine Learning to Breast Cancer Gene Expression Data to Predict Survival Likelihood
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2020 |
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[14]
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USING EXPLAINABLE RECOMMENDATIONS IN THE WINE INDUSTRY
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[1]
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Advances in machine learning screening of food bioactive compounds
Trends in Food Science & Technology,
2024
DOI:10.1016/j.tifs.2024.104578
|
|
|
|
|
[2]
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Advances in machine learning screening of food bioactive compounds
Trends in Food Science & Technology,
2024
DOI:10.1016/j.tifs.2024.104578
|
|
|
|
|
[3]
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Probabilistic electrical load forecasting for buildings using Bayesian deep neural networks
Journal of Building Engineering,
2022
DOI:10.1016/j.jobe.2021.103853
|
|
|
|
|
[4]
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Auto-ML Web-application for Automated Machine Learning Algorithm Training and evaluation
2022 IEEE 7th International conference for Convergence in Technology (I2CT),
2022
DOI:10.1109/I2CT54291.2022.9825329
|
|
|
|
|
[5]
|
Artificial intelligence in food science and nutrition: a narrative review
Nutrition Reviews,
2022
DOI:10.1093/nutrit/nuac033
|
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|
|
|
[6]
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A Personalized Oncology Mobile Application Integrating Clinical and Genomic Features to Predict the Risk Stratification of Lung Cancer Patients via Machine Learning
Mugla Journal of Science and Technology,
2022
DOI:10.22531/muglajsci.1165634
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|
|
|
|
[7]
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A PERSONALIZED ONCOLOGY MOBILE APPLICATION INTEGRATING CLINICAL AND GENOMIC FEATURES TO PREDICT THE RISK STRATIFICATION OF LUNG CANCER PATIENTS VIA MACHINE LEARNING
Mugla Journal of Science and Technology,
2022
DOI:10.22531/muglajsci.1165634
|
|
|
|
|
[8]
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Leaf nitrogen content estimation using top-of-canopy airborne hyperspectral data
International Journal of Applied Earth Observation and Geoinformation,
2021
DOI:10.1016/j.jag.2021.102584
|
|
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