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Ki67 Labeling Correlated With Invasion But Not With Recurrence
Applied Immunohistochemistry & Molecular Morphology, 2017Pituitary adenomas account for 10% to 15% of intracranial neoplasms. Multiple factors had been introduced for tumor recurrence. MIB-1 monoclonal antibody, a marker of the proliferative index, has been introduced in various tumors, but unfortunately, the usefulness of MIB-1 in predicting the behavior of pituitary adenoma has been debated recently. Hence,
Alireza, Sadeghipour +7 more
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Joint multi-label classification and label correlations with missing labels and feature selection
Knowledge-Based Systems, 2019Abstract Multi-label classification problem is a key learning task where each instance may belong to multiple class labels simultaneously. However, there exists four main challenges: (a) designing an effective multi-label classifier, (b) learning the high-order asymmetric label correlations automatically, (c) reducing the dimensionality of feature ...
Zhi-Fen He +4 more
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Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels
2014 IEEE International Conference on Data Mining, 2014Multi-label learning deals with the problem where each training example is associated with a set of labels simultaneously, with the set of labels corresponding to multiple concepts or semantic meanings. Intuitively, the multiple labels are usually correlated in some semantic space while sharing the same input space.
Linli Xu +4 more
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Multi-label classification with weak labels by learning label correlation and label regularization
Applied Intelligence, 2023Xiaowan Ji +3 more
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Music Recommendation Based on Label Correlation
2013The Web is becoming the largest source of digital music, and users often find themselves exposed to a huge collection of items. How to effectively help users explore through massive music items creates a significant challenge that must be properly addressed in the era of E-Commerce.
Hequn Liu, Bo Yuan 0003, Cheng Li
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Multi-label Learning By exploiting Correlations of Label Subsets
2021 The 9th International Conference on Information Technology: IoT and Smart City, 2021Liwen Peng, Xiaolin Zhu, Zhang Yun
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Label Correlation Propagation for Semi-supervised Multi-label Learning
2017Many real world machine learning tasks suffer from the problem of scarce labeled data. In multi-label learning, each instance is associated with more than one label as in semantic scene understanding, text categorization and bio-informatics. Semi-supervised multi-label learning has attracted recent interest as gathering labeled data is both expensive ...
Aritra Ghosh 0002, C. Chandra Sekhar
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A Framework for Multi-Label Learning Using Label Ranking and Correlation
2015Multi-relational data mining is a rapidly growing area used for mining relational databases. While traditional data mining approaches search patterns in a single data table, relational data mining techniques look for patterns which exist in multiple tables. Multi-label learning (classification) comes under multi-relational data mining technique.
Malik Irfan Shaukat, Muhammad Usman 0005
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Multi-Label Adversarial Attack Based on Label Correlation
2023 IEEE International Conference on Image Processing (ICIP), 2023Mingzhi Ma +5 more
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