Results 71 to 80 of about 5,879,357 (336)
Community Member Retrieval on Social Media using Textual Information
, 2018 This paper addresses the problem of community membership detection using only text features in a scenario where a small number of positive labeled examples defines the community.
Hathi, Shobhit +2 more
core +1 more source
A Deep Embedded Clustering Algorithm for the Binning of Metagenomic Sequences
IEEE Access, 2022 The study of metagenomic sequences brings a deep understanding of microbial communities. One of the crucial steps in metagenomic projects is to classify sequences into different organisms, named the binning problem.
Huynh Quang Bao +2 more
doaj +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Accuracy of Latent-Variable Estimation in Bayesian Semi-Supervised Learning [PDF]
, 2015 Hierarchical probabilistic models, such as Gaussian mixture models, are widely used for unsupervised learning tasks. These models consist of observable and latent variables, which represent the observable data and the underlying data-generation process ...
Yamazaki, Keisuke
core
Data-Driven Signal–Noise Classification for Microseismic Data Using Machine Learning
Energies, 2021 It is necessary to monitor, acquire, preprocess, and classify microseismic data to understand active faults or other causes of earthquakes, thereby facilitating the preparation of early-warning earthquake systems.
Sungil Kim +3 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.A human cell‐based microphysiological system integrates engineered muscle tissues with an inflamed adipose–macrophage niche to model obese microenvironment‐induced muscle dysfunction. Muscle contraction is quantified by pillar deflection coupled with computational stiffness estimation. Secretome and transcriptomic profiling reveal inflammation‐mediated
Seunggyu Kim +16 more
wiley +1 more source
Revisiting Unsupervised Learning for Defect Prediction
, 2017 Collecting quality data from software projects can be time-consuming and expensive. Hence, some researchers explore "unsupervised" approaches to quality prediction that does not require labelled data.
Fu, Wei, Menzies, Tim
core +1 more source
Entropy, 2023 How to learn the embedding vectors of nodes in unsupervised large-scale heterogeneous networks is a key problem in heterogeneous network embedding research.
Hongwei Zhong +2 more
doaj +1 more source
Does COVID-19 Clinical Status Associate with Outcome Severity? An Unsupervised Machine Learning Approach for Knowledge Extraction [PDF]
, 2021 Eleni Karlafti +12 more
openalex +1 more source
Advanced Healthcare Materials, EarlyView.Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales +11 more
wiley +1 more source