Results 171 to 180 of about 142,938 (289)

Averaged precision, recall, and F1 scores of ‘malware’ class on MSOffice format with different pre-training strategies, where the three boxes of each pre-training combination indicate precision, recall, and F1 scores, respectively.

open access: green
Eun-Jin Kim (305808)   +6 more
openalex   +1 more source

Boron Nitride Reinforced Supramolecular Gels Nano‐Assembled with Fungicides toward Soil‐Borne Fungal Disease Management

open access: yesAdvanced Science, EarlyView.
This work demonstrates of 2D material‐mediated stimuli‐responsive transport in soft matter systems, pioneers a new class of nano‐bridged carriers with mechanically strengthening and programmable permeability characteristics designed to overcome persistent barriers in soil‐borne disease management.
Li Hao   +9 more
wiley   +1 more source

F1 score of BioMCL-DDI across different support set sizes (1–100 samples per class) on the DDI 2013 dataset.

open access: green
Yaxun Jia (12000572)   +3 more
openalex   +1 more source

OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis

open access: yesAdvanced Science, EarlyView.
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu   +17 more
wiley   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

open access: yesAdvanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao   +10 more
wiley   +1 more source

Performance metrics for SMOTE models: Class-wise precision, recall, F1 score, accuracy, G-mean, MCC, and STD.

open access: green
Nasim Mahmud Nayan (22537994)   +5 more
openalex   +1 more source

Mechanism‐Driven Screening of Membrane‐Targeting and Pore‐Forming Antimicrobial Peptides

open access: yesAdvanced Science, EarlyView.
To combat antibiotic resistance, this study employs mechanism‐driven screening with machine learning to identify pore‐forming antimicrobial peptides from amphibian and human metaproteomes. Seven peptides are validated, showing minimal toxicity and membrane disruption.
Jiaxuan Li   +9 more
wiley   +1 more source

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