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A data decomposition-based hierarchical classification method for multi-label classification of contractual obligations for the purpose of their governance. [PDF]

Sci Rep
Singh A, Rose Anish P, Verma A, Venkatesan S, V L, Ghaisas S.   +5 more
europepmc   +1 more source

K1K2NN: A Novel Multi-Label Classification Approach Based on Neighbours to Predict Covid Drug Side Effects from Chemical Properties

, 2023
Mazumder DH, Das P.
europepmc   +1 more source

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Multi-Label Classification

International Journal of Data Warehousing and Mining, 2007
Multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization, and semantic scene classification. This article introduces the task of multi-label classification, organizes the sparse related literature into a structured presentation and performs comparative ...
Grigorios Tsoumakas, Ioannis Katakis
openaire   +2 more sources

Multi-Label Classification

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications, 2020
Multi-Label Classification (MLC) is a field of machine learning, which consists of classifying data by assigning to each instance a set of labels instead of one. These labels or classes can have dependencies between them. Omit this information can affect the predictive quality of classification.
Hamza Lotf, Mohammed Ramdani
openaire   +1 more source

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

European Conference on Computer Vision, 2020
We present a new loss function called Distribution-Balanced Loss for the multi-label recognition problems that exhibit long-tailed class distributions.
Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin   +4 more
semanticscholar   +1 more source

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
As a cross-topic of multi-view learning and multi-label classification, multi-view multi-label classification has gradually gained traction in recent years. The application of multi-view contrastive learning has further facilitated this process; however,
Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, M. Zhang   +4 more
semanticscholar   +1 more source

HIERARCHICAL MULTI-LABEL CLASSIFICATION

Věda a perspektivy
Bohdan Nedashkivskyi
openaire   +2 more sources