Results 201 to 210 of about 3,020,093 (290)

Threshold-based exploitation of noisy label in black-box unsupervised domain adaptation. [PDF]

PLoS One
Xu H, Lee J, Kang U.
europepmc   +1 more source

GANana: Unsupervised Domain Adaptation for Volumetric Regression of Fruit. [PDF]

Plant Phenomics, 2021
Hartley ZKJ, Jackson AS, Pound M, French AP.   +3 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Histogram matching-enhanced adversarial learning for unsupervised domain adaptation in medical image segmentation. [PDF]

Med Phys
Qian X, Shao HC, Li Y, Lu W, Zhang Y.
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Unsupervised Domain Adaptation Method Based on Relative Entropy Regularization and Measure Propagation. [PDF]

Entropy (Basel)
Tan L, Peng Z, Song Y, Liu X, Jiang H, Liu S, Wu W, Xiang Z.   +7 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Towards bridging the synthetic-to-real gap in quantitative photoacoustic tomography via unsupervised domain adaptation. [PDF]

Photoacoustics
Wang Z, Tao W, Zhang Z, Zhao H.
europepmc   +1 more source

Current Standards of Monitoring Models in Healthcare Settings

Advanced Intelligent Discovery, EarlyView.
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay, Daljit Takher, Wenting Liu, Emily Wittrup, Gilbert S. Omenn, Kayvan Najarian   +5 more
wiley   +1 more source

Multi-view affinity-based projection alignment for unsupervised domain adaptation via locality preserving optimization. [PDF]

Sci Rep
Luo W, Chen M, Gao J, Zhu Y, Wang F, Zhu C.   +5 more
europepmc   +1 more source