Results 131 to 140 of about 637,915 (182)

Identification of Comorbidities in Obstructive Sleep Apnea Using Diverse Data and a One-Dimensional Convolutional Neural Network. [PDF]

Sensors (Basel)
Zovko K, Šerić L, Perković T, Pavlinac Dodig I, Pecotić R, Đogaš Z, Šolić P.   +6 more
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Multilabel feature selection using graph neural networks and differential evolution optimization. [PDF]

Sci Rep
Pan N.
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Author Correction: UKB-MDRMF: a multi-disease risk and multimorbidity framework based on UK biobank data. [PDF]

Nat Commun
Jiang Y, Zhao B, Wang X, Tang B, Peng H, Luo Z, Shen Y, Wang Z, Jiang Z, Wang J, Ye J, Wang X, Zhu H.   +12 more
europepmc   +1 more source

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Generative Multi-Label Correlation Learning

ACM Transactions on Knowledge Discovery from Data, 2023
In real-world applications, a single instance could have more than one label. To solve this task, multi-label learning methods emerged in recent years. It is a more challenging problem for many reasons, such as complex label correlation, long-tail label distribution, and data shortage.
Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu   +6 more
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Multi-Directional Multi-Label Learning

Signal Processing, 2021
Abstract In multi-label learning, the key problem is to capture the relationships between multiple labels, including proximities and unconformities. In this paper, we consider the relationships among multiple labels from multi-directions, including utilizing discriminative classifier, proposing a general hierarchical constraint and proximity ...
Danyang Wu, Shenfei Pei, Feiping Nie, Rong Wang, Xuelong Li   +4 more
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