Results 91 to 100 of about 21,136,484 (286)
Exploration of Multi-Label Classification Techniques for Modelling of Specialty Arabica Coffee Flavour Notes [PDF]
Predicting the complex flavor profiles of specialty Arabica coffee is a challenging task due to the subjective nature of human sensory evaluations. This study investigates the application of visible-near-infrared (vis-NIR) spectroscopy coupled with multi-
Sherman, Ho
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FEBS Open Bio, EarlyView.We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen +5 more
wiley +1 more source
FEBS Open Bio, EarlyView.Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page +4 more
wiley +1 more source
Hierarchical Semi-Supervised Representation Learning for Cyber Physical Social Intelligence
Big Data Mining and AnalyticsIn the context of Cyber Physical Social Intelligence (CPSI), efficiently training and inferring from samples with limited labels poses critical challenges due to the scarcity and high cost of label acquisition for big data.
Na Song +5 more
doaj +1 more source
Multi-label approach for human-face classification
, 2015 Single-label classification models have been widely used for human-face classification. In this paper, we present a multi-label classification approach for human-face classification.
Atul Sajjanhar (13059588) +2 more
core
, 2009 Multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization, and semantic scene classification.
Ioannis Katakis, Grigorios Tsoumakas
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Multi-label Dysfluency Classification
, 2022 Stuttering is a neuro-developmental disorder represented in 1% of the population. Dysfluency classification is still an open research question, with concerns of which feature representation or which classifier to use.
Jouaiti, Melanie; id_orcid +1 more
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Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
Aging and Cancer, EarlyView.This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Knowledge and Information SystemsAbstract Multi-Label Classification (MLC) assigns multiple relevant labels to each sample simultaneously,while multi-view MLC aims to apply MLC to handle heterogeneous data represented by multiple feature subsets.In recent years, a variety of methods have been proposed to handle these problems and have achieved great success in a wide range of ...
Luhuan Fei +5 more
openaire +1 more source
Multi-view graph neural network for fraud detection algorithm
Tongxin xuebao, 2022 Aiming at the problem that in the field of fraud detection, imbalance labels and lack of necessary connections between fraud nodes, resulting in fraud detection tasks not conforming to the hypothesis of homogeneity of graph neural networks, multi-view ...
Zhuo CHEN, Miao ZHU, Junwei DU
doaj +2 more sources