Results 31 to 40 of about 909,546 (299)
Semi-Supervised Federated Learning for Open-Set Respiratory Sound Classification
IEEE AccessDeep learning approaches for respiratory sound classification have shown promise in supporting clinical diagnosis, yet their deployment across multiple institutions faces four concurrent challenges: label scarcity due to the high cost of expert ...
Won-Yang Cho, Hyesun Chang, Sangjun Lee
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Sepa, 2016 The objective of this study is to determine the merchant and the user preferences to the specification lubricating grease lubricants, color lubricants, package sizes, shape packaging labels, distribution of lubricants ...
Tri Yanto, Aiman Abulkhair
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Carroll Round Proceedings 2022
, 2022 Undergraduate research papers on contemporary international economics.
Carroll Round
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Multi-label classification using ensembles of pruned sets [PDF]
, 2008 This paper presents a Pruned Sets method (PS) for multi-label classification. It is centred on the concept of treating sets of labels as single labels. This allows the classification process to inherently take into account correlations between labels. By
Pfahringer, Bernhard +5 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Correlated Rounding of Multiple Uniform Matroids and Multi-Label Classification.
, 2017 We introduce correlated randomized dependent rounding where, given multiple points y^1,...,y^n in some polytope P\subseteq [0,1]^k, the goal is to simultaneously round each y^i to some integral z^i in P while preserving both marginal values and expected distances between the points.
Chen, Shahar +5 more
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A lexicographic multi-objective genetic algorithm for multi-label correlation-based feature selection [PDF]
, 2015 This paper proposes a new Lexicographic multi-objective Genetic Algorithm for Multi-Label Correlation-based Feature Selection (LexGA-ML-CFS), which is an extension of the previous single-objective Genetic Algorithm for Multi-label Correlation-based ...
Suwimol Jungjit +3 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
Big Data and Cognitive ComputingEnd-to-end relation extraction (E2ERE) generally performs named entity recognition and relation extraction either simultaneously or sequentially. While numerous studies on E2ERE have centered on enhancing span representations to improve model performance,
Rongxuan Lai +5 more
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Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source