Results 31 to 40 of about 606,212 (231)

ThumbNet: One Thumbnail Image Contains All You Need for Recognition

open access: yes, 2020
Although deep convolutional neural networks (CNNs) have achieved great success in computer vision tasks, its real-world application is still impeded by its voracious demand of computational resources.
Abadi Mart'in   +11 more
core   +1 more source

Joint Label Inference in Networks [PDF]

open access: yesCompanion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018
We consider the problem of inferring node labels in a partially labeled graph where each node in the graph has multiple label types and each label type has a large number of possible labels. Existing approaches such as Label Propagation fail to consider interactions between the label types.
Deepayan Chakrabarti   +3 more
openaire   +2 more sources

Few regulatory metabolites coordinate expression of central metabolic genes in Escherichia coli

open access: yesMolecular Systems Biology, 2017
Transcription networks consist of hundreds of transcription factors with thousands of often overlapping target genes. While we can reliably measure gene expression changes, we still understand relatively little why expression changes the way it does. How
Karl Kochanowski   +5 more
doaj   +1 more source

Dose and Time Dependencies in Stress Pathway Responses during Chemical Exposure: Novel Insights from Gene Regulatory Networks

open access: yesFrontiers in Genetics, 2017
Perturbation of biological networks is often observed during exposure to xenobiotics, and the identification of disturbed processes, their dynamic traits, and dose–response relationships are some of the current challenges for elucidating the mechanisms ...
Terezinha M. Souza   +2 more
doaj   +1 more source

Improving gene regulatory network inference and assessment: The importance of using network structure

open access: yesFrontiers in Genetics, 2023
Gene regulatory networks are graph models representing cellular transcription events. Networks are far from complete due to time and resource consumption for experimental validation and curation of the interactions.
Juan M. Escorcia-Rodríguez   +9 more
doaj   +1 more source

A systems‐level approach to mapping the telomere length maintenance gene circuitry

open access: yesMolecular Systems Biology, 2008
The ends of eukaryotic chromosomes are protected by telomeres, nucleoprotein structures that are essential for chromosomal stability and integrity. Understanding how telomere length is controlled has significant medical implications, especially in the ...
Rafi Shachar   +4 more
doaj   +1 more source

Transcriptome-Enabled Network Inference Revealed the GmCOL1 Feed-Forward Loop and Its Roles in Photoperiodic Flowering of Soybean

open access: yesFrontiers in Plant Science, 2019
Photoperiodic flowering, a plant response to seasonal photoperiod changes in the control of reproductive transition, is an important agronomic trait that has been a central target of crop domestication and modern breeding programs.
Faqiang Wu   +6 more
doaj   +1 more source

Exploiting network topology for large-scale inference of nonlinear reaction models

open access: yes, 2019
The development of chemical reaction models aids understanding and prediction in areas ranging from biology to electrochemistry and combustion. A systematic approach to building reaction network models uses observational data not only to estimate unknown
Galagali, Nikhil, Marzouk, Youssef M.
core   +2 more sources

Minimal Interspecies Interaction Adjustment (MIIA): Inference of Neighbor-Dependent Interactions in Microbial Communities

open access: yesFrontiers in Microbiology, 2019
An intriguing aspect in microbial communities is that pairwise interactions can be influenced by neighboring species. This creates context dependencies for microbial interactions that are based on the functional composition of the community.
Hyun-Seob Song   +10 more
doaj   +1 more source

Multi-turn Inference Matching Network for Natural Language Inference

open access: yes, 2019
Natural Language Inference (NLI) is a fundamental and challenging task in Natural Language Processing (NLP). Most existing methods only apply one-pass inference process on a mixed matching feature, which is a concatenation of different matching features ...
Jiang, Shan   +3 more
core   +1 more source

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