Results 71 to 80 of about 76,480 (326)

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

Weakly Supervised Disentangled Generative Causal Representation Learning

, 2020
This paper proposes a Disentangled gEnerative cAusal Representation (DEAR) learning method under appropriate supervised information. Unlike existing disentanglement methods that enforce independence of the latent variables, we consider the general case where the underlying factors of interests can be causally related. We show that previous methods with
Shen, Xinwei, Liu, Furui, Dong, Hanze, Lian, Qing, Chen, Zhitang, Zhang, Tong   +5 more
openaire   +3 more sources

Data Consistency for Weakly Supervised Learning

, 2022
In many applications, training machine learning models involves using large amounts of human-annotated data. Obtaining precise labels for the data is expensive. Instead, training with weak supervision provides a low-cost alternative. We propose a novel weak supervision algorithm that processes noisy labels, i.e., weak signals, while also considering ...
Arachie, Chidubem, Huang, Bert
openaire   +2 more sources

Weakly Supervised Cross-Domain Mixed Dish Detection With Mean-Teacher

IEEE Access, 2020
Mixed dish, which mixes different types of dishes in one plate, is a popular kind of food in East and Southeast Asia. Identifying the dish type in the mixed dish is essential for dietary tracking, which gains increasing research attention recently ...
Lixi Deng, Xu Zhang, Zhijie Shang
doaj   +1 more source

Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer

Aging and Cancer, EarlyView.
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss, Alexis C. Wardell, Allison M. Deal, Kirsten A. Nyrop, Allison Ross, Yara G. Abdou, Jeffrey D. Aldrich, Lisa A. Cary, E. Claire Dees, Katherine E. Reeder‐Hayes, Emily M. Ray, Natalia Mitin, Denis Tsygankov   +12 more
wiley   +1 more source

Weakly-Supervised Temporal Localization via Occurrence Count Learning [PDF]

, 2019
We propose a novel model for temporal detection and localization which allows the training of deep neural networks using only counts of event occurrences as training labels. This powerful weakly-supervised framework alleviates the burden of the imprecise
Marshall, David, Schroeter, Julien, Sidorov, Kirill   +2 more
core   +2 more sources

Soft Proposal Networks for Weakly Supervised Object Localization

, 2017
Weakly supervised object localization remains challenging, where only image labels instead of bounding boxes are available during training. Object proposal is an effective component in localization, but often computationally expensive and incapable of ...
Jiao, Jianbin, Qiu, Qiang, Ye, Qixiang, Zhou, Yanzhao, Zhu, Yi   +4 more
core   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

Advanced topics in weakly supervised learning [PDF]

, 2021
Machine learning has achieved great advances in various tasks, especially in supervised learning tasks. However, supervised learning requires all the correct labels of training examples to train an effective model, and collecting training examples with such strong supervision could incur unaffordable monetary or time cost.
openaire   +2 more sources

Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs With Snorkel

IEEE Access
This study introduces a novel approach to sentiment classification of Arabic tweets regarding educational reforms in Saudi Arabia. The complexity of the Arabic language, with its numerous dialects, poses challenges for natural language processing tasks ...
Alanoud Alotaibi, Farrukh Nadeem, Mohamed Hamdy   +2 more
doaj   +1 more source