Results 171 to 180 of about 1,347,746 (312)

Keeping Pathologists in the Loop and an Adaptive F1-Score Threshold Method for Mitosis Detection in Canine Perivascular Wall Tumours. [PDF]

Cancers (Basel)
Rai T, Morisi A, Bacci B, Bacon NJ, Dark MJ, Aboellail T, Thomas SA, La Ragione RM, Wells K.   +8 more
europepmc   +1 more source

Beyond Balanced Accuracy: Calibrated F1-Score for Reliable AI Evaluation in Imbalanced Domains

Evaluating the performance of Artificial Intelligence (AI) models in imbalanced domains poses significant challenges. Traditional metrics like accuracy can be misleading, favoring the majority class and masking poor performance on the minority class, which is often of greater interest.
Revista, Zen, IA, 10
openaire   +1 more source

Sentiment classification accuracy and F1 score of individual weather datasets. The highest score in each column is highlighted in .

Sentiment classification accuracy and F1 score of individual weather datasets. The highest score in each column is highlighted in .
Hywel T. P. Williams (4811049), Rudy Arthur (4811046), James C. Young (18404677)   +2 more
core   +1 more source

Asymmetric Electrostrain/Electrobending in Piezoelectric Ceramics: Role of Defect Dipoles or Oxygen Vacancies

Advanced Science, EarlyView.
Defect‐configurational origins of the asymmetric apparent electrostrain are revealed in different piezoelectric ceramics via atomic‐scale visualization of defect configurations. Migration of oxygen vacancies leads to the electrobending effect in N2‐sintered BaTiO3, while defect dipoles in Ba0.99TiO2.99 generate true asymmetric electrostrain without ...
Jie Wang, Geng Huangfu, Hongjie Zhang, Tiannan Yang, Zhenhua Ma, Jingsheng Chen, Yun Liu, Yiping Guo   +7 more
wiley   +1 more source

Score following: An artificially intelligent musical accompanist [PDF]

Score Following is the process by which a musician can be tracked through their performance of a piece, for the purpose of accompanying the musician with the appropriate notes.
Jordanous, Anna
core  

Hierarchical Ordering Induced Ultrahigh Cryogenic Strength and Strain Hardening in a Ni2CoFeV Medium‐Entropy Alloy

Advanced Science, EarlyView.
A tri‐phase Ni2CoFeV medium‐entropy alloy with fcc, κ, and L12 phases achieves exceptional cryogenic strength‐ductility synergy at 77 K. It delivers a yield strength of 1.4 GPa, an ultimate tensile strength of 2.07 GPa and a tensile ductility of 28%.
Lei Gu, Wei Jiang, Qingzhong Mao, Xiang Chen, Yonghao Zhao   +4 more
wiley   +1 more source

Multi-Task and Federated Learning for Breast and Lung Cancer Screening and Diagnosis: A Survey and Future Research Directions. [PDF]

J Imaging
Ciobotaru A, Corches C, Gota D, Miclea L.   +3 more
europepmc   +1 more source

Optimizing Supernova Classification: A Metric-Aware Approach with PR-AUC and F1-score

Photometric classification of Type Ia supernovae (SNe Ia) is essential for cosmological studies but remains challenging due to severe class imbalance and observational noise. While recent studies have explored deep learning models, these approaches are often resource-intensive and complex to interpret.This study aims to develop a computationally ...
openaire   +1 more source

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

Advanced Science, EarlyView.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang, Jingze Su, Xiahui Han, Deyong Kang, Xiao Zhang, Fei Xu, Changzu Liu, Junlin Pan, Xingfu Wang, Qiaohui Zhan, Aimin Wang, Feng Huang, Heping Cheng, Wenxi Liu, Ruolan Lin, Jianxin Chen   +15 more
wiley   +1 more source

Is one run enough? Reproducibility of flagship large language models across temperature and reasoning settings in biomedical text processing. [PDF]

J Am Med Inform Assoc
Windisch P, Koechli C, Dennstädt F, Aebersold DM, Zwahlen DR, Förster R, Schröder C.   +6 more
europepmc   +1 more source