Results 81 to 90 of about 25,867,085 (318)
Active Learning for Uneven Noisy Labeled Data in Mention-Level Relation Extraction
IEEE Access, 2019 Mention-level relation extraction (mRE) plays an important role in extracting relational information from short texts such as those exchanged in a social network.
Wei Yuliang +3 more
doaj +1 more source
Model Reuse in Machine Learning for Author Name Disambiguation: An Exploration of Transfer Learning
IEEE Access, 2020 Machine learning for author name disambiguation is usually conducted on the training and test subsets of labeled data created for a specific task. As a result, disambiguation models learned on heterogeneous labeled data are often inapplicable for other ...
Jinseok Kim, Jason Owen-Smith
doaj +1 more source
FEBS Letters, EarlyView.This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley +1 more source
Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer
FEBS Letters, EarlyView.Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani +4 more
wiley +1 more source
Feature Selection for Partially Labeled Data Based on Neighborhood Granulation Measures
IEEE Access, 2019 As an effective feature selection technique, rough set theory plays an important part in machine learning. However, it is only applicable to labeled data.
Bingyang Li, Jianmei Xiao, Xihuai Wang
doaj +1 more source
Sparse Coding on Stereo Video for Object Detection [PDF]
, 2017 Deep Convolutional Neural Networks (DCNN) require millions of labeled training examples for image classification and object detection tasks, which restrict these models to domains where such datasets are available.
Kenyon, Garrett T. +2 more
core +2 more sources
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
FEBS Letters, EarlyView.Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable\n Probabilistic Implicit Differentiation [PDF]
, 2021 Denis Gudovskiy +4 more
openalex +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
FEBS Letters, EarlyView.Multidrug transporters BpeB and BpeF from the Gram‐negative pathogen Burkholderia pseudomallei have a hydrophilic patch in their substrate‐binding pocket. Drug susceptibility tests and growth curve analyses using an Escherichia coli recombinant expression system revealed that the hydrophilic patches of BpeB and BpeF are involved in the substrate ...
Ui Okada, Satoshi Murakami
wiley +1 more source