Unclonable Anti‐Counterfeiting Labels Based on Microlens Arrays and Luminescent Microparticles
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Optical Materials"
DOI: 10.1002/adom.202102402
Abstract: DOI: 10.1002/adom.202102402 Union (EU), counterfeit products traded in 2019 alone were valued at USD 134 billion (5.8% of the EU imports).[1] Beyond economic consequences, counterfeiting can also endanger human lives, for example, by producing unsafe… read more here.
Keywords: anti counterfeiting; database; counterfeiting labels; label ... See more keywords
Medical treatment in infants and young children with epilepsy: Off‐label use of antiseizure medications. Survey Report of ILAE Task Force Medical Therapies in Children
Sign Up to like & getrecommendations! Published in 2022 at "Epilepsia Open"
DOI: 10.1002/epi4.12666
Abstract: Antiseizure medications (ASMs) remain the mainstay of epilepsy treatment. These ASMs have mainly been tested in trials in adults with epilepsy, which subsequently led to market authorization (MA). For treatment of – especially young –… read more here.
Keywords: antiseizure medications; young children; children epilepsy; label use ... See more keywords
Prediction of the chemical context for Buchwald-Hartwig coupling reactions.
Sign Up to like & getrecommendations! Published in 2022 at "Molecular informatics"
DOI: 10.1002/minf.202100294
Abstract: We present machine learning models for predicting the chemical context for Buchwald-Hartwig coupling reactions, i.e., what chemicals to add to the reactants to give a productive reaction. Using reaction data from in-house electronic lab notebooks,… read more here.
Keywords: context; chemical context; context buchwald; hartwig coupling ... See more keywords
Machine learning based multi-label classification of single or mixed-composition urinary stones in in-vivo spectral CT.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16154
Abstract: BACKGROUND Urinary stones comprise both single and mixed compositions. Knowledge of the stone composition helps the urologists choose appropriate medical interventions for patients. The parameters from the spectral computerized tomography (CT) analysis have potential values… read more here.
Keywords: composition; multi label; label; label classification ... See more keywords
Transcatheter aortic valve replacement for pure aortic valve regurgitation: “on-label” versus “off-label” use of TAVR devices
Sign Up to like & getrecommendations! Published in 2019 at "Clinical Research in Cardiology"
DOI: 10.1007/s00392-019-01422-0
Abstract: IntroductionTranscatheter aortic valve replacement (TAVR) has become the mainstay of treatment for aortic stenosis in patients with high surgical risk. Pure aortic regurgitation (PAR) is considered a relative contraindication for TAVR; however, TAVR is increasingly… read more here.
Keywords: label; tavr devices; aortic valve; par ... See more keywords
Partial label learning via low-rank representation and label propagation
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04269-9
Abstract: In partial label learning, each training instance is assigned with a set of candidate labels, among which only one is correct. An intuitive strategy to learn from such ambiguous data is disambiguation. Existing methods following… read more here.
Keywords: label; rank representation; low rank; via low ... See more keywords
LabCor: Multi-label classification using a label correction strategy
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02674-y
Abstract: Multi-label classification is a branch of machine learning that can effectively reflect real-world problems. Among all the multi-label classification methods, stacked binary relevance (2BR) is a classic approach. Based on 2BR, a series of optimized… read more here.
Keywords: label; two level; classification; multi label ... See more keywords
Learning safe multi-label prediction for weakly labeled data
Sign Up to like & getrecommendations! Published in 2017 at "Machine Learning"
DOI: 10.1007/s10994-017-5675-z
Abstract: In this paper we study multi-label learning with weakly labeled data, i.e., labels of training examples are incomplete, which commonly occurs in real applications, e.g., image classification, document categorization. This setting includes, e.g., (i) semi-supervised… read more here.
Keywords: label; weakly labeled; multi label; label learning ... See more keywords
Data scarcity, robustness and extreme multi-label classification
Sign Up to like & getrecommendations! Published in 2019 at "Machine Learning"
DOI: 10.1007/s10994-019-05791-5
Abstract: The goal in extreme multi-label classification (XMC) is to learn a classifier which can assign a small subset of relevant labels to an instance from an extremely large set of target labels. The distribution of… read more here.
Keywords: label; classification; extreme multi; multi label ... See more keywords
Semi-supervised dual low-rank feature mapping for multi-label image annotation
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5719-9
Abstract: Automatic image annotation as a typical multi-label learning problem, has gained extensive attention in recent years owing to its application in image semantic understanding and relevant disciplines. Nevertheless, existing annotation methods share the same challenge… read more here.
Keywords: label; image; multi label; matrix ... See more keywords
Alignment Based Kernel Selection for Multi-Label Learning
Sign Up to like & getrecommendations! Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9863-z
Abstract: Kernel based methods are increasingly being used for data modeling because of their conceptual simplicity and outstanding performance on many learning tasks. And kernel alignment, which is usually employed to select particular kernel for a… read more here.
Keywords: label; multi label; label learning; kernel alignment ... See more keywords