نتائج البحث

XGB-BIF: An XGBoost-Driven Biomarker Identification Framework for Detecting Cancer Using Human Genomic Data.

• Authors : Ghuriani, Veena¹ (AUTHOR); Wassan, Jyotsna Talreja¹ (AUTHOR) ; Tripathi, Priyal¹ (AUTHOR)

• Source: International Journal of Molecular Sciences. Jun2025, Vol. 26 Issue 12, p5590. 28p.

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Paradox of otolith shape indices: routine but overestimated use.

• Authors : Tuset, Víctor Manuel¹ (AUTHOR) ; Otero-Ferrer, José Luis² (AUTHOR); Siliprandi, Carolina³ (AUTHOR)

• Source: Canadian Journal of Fisheries & Aquatic Sciences. 2021, Vol. 78 Issue 6, p681-692. 12p.

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Evaluating the degree of cloudiness using machine learning techniques based on different atmospheric conditions.

• Authors : Borna, Nusrat Jahan; Rahman, Md. Habibur

Subjects: RANDOM forest algorithms; SUPPORT vector machines; DECISION trees

• Source: Theoretical & Applied Climatology; Aug2024, Vol. 155 Issue 8, p7193-7222, 30p

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Study of the Length of time Window in Emotion Recognition based on EEG Signals.

• Authors : Jarillo Silva, Alejandro; Gómez Pérez, Víctor Alberto; Domínguez Ramírez, Omar Arturo

Subjects: EMOTION recognition; ELECTROENCEPHALOGRAPHY; MACHINE learning

• Source: Revista Mexicana de Ingeniería Biomédica; Jan-Apr2024, Vol. 45 Issue 1, p31-42, 12p

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ASTER VNIR‐SWIR Based Lithological Mapping of Granitoids in the Western Junggar Orogen (NW Xinjiang): Improved Inputs to Random Forest Method.

• Authors : Zhou, Yarong; Zheng, Shuo; An, Yanfei

Subjects: RANDOM forest algorithms; NONFERROUS metals; PRINCIPAL components analysisXINJIANG Uygur Zizhiqu (China)

• Source: Earth & Space Science; Aug2023, Vol. 10 Issue 8, p1-23, 23p

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Modeling Urban Land Use Changes Using Support Vector Machines.

• Authors : Samardžić‐Petrović, Mileva; Dragićević, Suzana; Kovačević, Miloš

Subjects: URBAN land use; SUPPORT vector machines; ALGORITHM software

• Source: Transactions in GIS; Oct2016, Vol. 20 Issue 5, p718-734, 17p

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Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures.

• Authors : Stumberg, Nadja; Hauglin, Marius; Bollandsås, Ole Martin

Subjects: ECOTONES; CLIMATE change; SUPPORT vector machinesARCTIC regions

• Source: Remote Sensing; Sep2014, Vol. 6 Issue 9, p4582-4599, 18p

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A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification.

• Authors : Silva, Iván; Eugenio Naranjo, José

Subjects: PREDICTION models; SUPPORT vector machines; ARTIFICIAL neural networks

• Source: Sensors (14248220); 3/15/2020, Vol. 20 Issue 6, p1692, 1p

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