Works matching DE "MACHINE learning"


Results: 5000
    1
    2

    The promise and challenges of generative AI in education.

    Published in:
    Behaviour & Information Technology, 2025, v. 44, n. 11, p. 2518, doi. 10.1080/0144929X.2024.2394886
    By:
    • Giannakos, Michail;
    • Azevedo, Roger;
    • Brusilovsky, Peter;
    • Cukurova, Mutlu;
    • Dimitriadis, Yannis;
    • Hernandez-Leo, Davinia;
    • Järvelä, Sanna;
    • Mavrikis, Manolis;
    • Rienties, Bart
    Publication type:
    Article
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    14
    15
    16
    17
    18
    19
    20
    21
    22
    23

    DIGESTING THREE-FACTOR MODEL.

    Published in:
    Singapore Economic Review, 2025, v. 70, n. 4, p. 1021, doi. 10.1142/S0217590822480022
    By:
    • HUANG, WEIGE
    Publication type:
    Article
    24
    25
    26
    27
    28
    29

    Standardized pancreatic MRI-T1 measurement methods: comparison between manual measurement and a semi-automated pipeline with automatic quality control.

    Published in:
    British Journal of Radiology, 2025, v. 98, n. 1170, p. 965, doi. 10.1093/bjr/tqaf062
    By:
    • Triay Bagur, Alexandre;
    • Arya, Zobair;
    • Waddell, Tom;
    • Pansini, Michele;
    • Fernandes, Carolina;
    • Counter, Daniel;
    • Jackson, Edward;
    • Thomaides-Brears, Helena B;
    • Robson, Matthew D;
    • Bulte, Daniel P;
    • Banerjee, Rajarshi;
    • Aljabar, Paul;
    • Brady, Michael
    Publication type:
    Article
    30
    31
    32
    33

    IoT-Based Emergency Vehicle Detection Using YOLOv8.

    Published in:
    Journal of Automation, Mobile Robotics & Intelligent Systems, 2025, v. 19, n. 2, p. 79, doi. 10.14313/jamris-2025-018
    By:
    • Suhana, Syed;
    • Rudra Prathap, Boppuru;
    • Narang, Kavish;
    • Anto, Ivin
    Publication type:
    Article
    34
    35
    36
    37
    38
    39
    40
    41
    42
    43
    44
    45
    46
    47
    48
    49
    50

    Evaluating prediction of short‐term tolerability of five type 2 diabetes drug classes using routine clinical features: UK population‐based study.

    Published in:
    Diabetes, Obesity & Metabolism, 2025, v. 27, n. 8, p. 4320, doi. 10.1111/dom.16470
    By:
    • Cardoso, Pedro;
    • Young, Katie G.;
    • Hopkins, Rhian;
    • Mateen, Bilal A.;
    • Pearson, Ewan R.;
    • Hattersley, Andrew T.;
    • McKinley, Trevelyan J.;
    • Shields, Beverley M.;
    • Dennis, John M.;
    • Hattersley, Andrew;
    • Pearson, Ewan;
    • Jones, Angus;
    • Shields, Beverley;
    • Dennis, John;
    • Rodgers, Lauren;
    • Henley, William;
    • McDonald, Timothy;
    • Weedon, Michael;
    • Britten, Nicky;
    • Angwin, Catherine
    Publication type:
    Article