Results 71 to 80 of about 10,284,296 (292)
Laplacian Regularized Few-Shot Learning
CoRR, 2020 ICML 2020 ...
Imtiaz Masud Ziko +3 more
openaire +4 more sources
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
A few-shot semantic segmentation method based on feature enhancement of target category
ROBOMECH JournalDeep learning-based image semantic segmentation techniques have made great strides in recent years. However, they still need large amounts of finely annotated image data, and generalizing the model from known classes to unknown ones remains a challenge ...
Kai Wang, Takayuki Nakamura
doaj +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
FEBS Open Bio, EarlyView.Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Plain Template Insertion: Korean-Prompt-Based Engineering for Few-Shot Learners
IEEE Access, 2022 Prompt-based learning is a method used for language models to interpret natural language by remembering the prior knowledge acquired and the training objective.
Jaehyung Seo +7 more
doaj +1 more source
Cell surface CD11c as a neutrophil aging marker molecule
FEBS Open Bio, EarlyView.Cell surface CD11chi neutrophils were more aged and had better phagocytic function than CD11c−/lo neutrophils. Transcriptomic analysis of CD11chi neutrophils and CD11c−/lo neutrophils in pediatric population showed that the most difference was seen in infants.
Sophia Koutsogiannaki +5 more
wiley +1 more source
Hybrid attentive prototypical network for few-shot action recognition
Complex & Intelligent SystemsMost previous few-shot action recognition works tend to process video temporal and spatial features separately, resulting in insufficient extraction of comprehensive features.
Zanxi Ruan +3 more
doaj +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
From Few-Shot Optimal Control to Few-Shot Learning
CoRR6 ...
Roman A. Chertovskih +3 more
openaire +3 more sources
Few-shot Learning for Spatial Regression
CoRR, 2020 We propose a few-shot learning method for spatial regression. Although Gaussian processes (GPs) have been successfully used for spatial regression, they require many observations in the target task to achieve a high predictive performance. Our model is trained using spatial datasets on various attributes in various regions, and predicts values on ...
Tomoharu Iwata, Yusuke Tanaka 0002
openaire +3 more sources