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Regular graph construction for semi-supervised learning
(IOP PublishingBristol, 2014)
Semi-supervised learning (SSL) stands out for using a small amount of labeled points for data clustering and classification. In this scenario graph-based methods allow the analysis of local and global characteristics of ...
A flocking-like technique to perform semi-supervised learning
(IEEE Computational Intelligence SocietyChinese Academy of SciencesNational Natural Science Foundation of ChinaBeijing, 2014-07)
We present a nature-inspired semi-supervised learning technique based on the flocking formation of certain living species like birds and fishes. Each data item is treated as an individual in the flock. Starting from random ...
A study on labeling network hostile behavior with Intelligent Interactive tools
(IEEE Canada, 2020)
Labeling a real network dataset is specially expensive in computersecurity, as an expert has to ponder several factors before assigningeach label. This paper describes an interactive intelligent systemto support the task ...
Semi-supervised deep learning for ocular image classification
(Universidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónDepartamento de Ingeniería de Sistemas e IndustrialFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá, 2022-06-03)
Regular screening, early diagnosis, and appropriate on-time treatment could prevent vision loss and blindness as a complication of diabetes. Unfortunately, access to expert ophthal- mologists is limited and not readily ...
Semi-Supervised Self-Organizing Maps with Time-Varying Structures for Clustering and Classification
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2019)
Aprendizagem semi-supervisionada aplicada à engenharia financeira
(Universidade Federal de Minas GeraisUFMG, 2007-06-06)
Semi-supervised learning had become, recently, a good alternative toimprove generalization capacity in machine learning models. The approach is generally used in problems that labeled samples are hard tobe obtained and ...
Aprendizado ativo para classificadores de fluxo de dados baseados em agrupamentoActive learning for clustering-based data stream classifiers
(Universidade Federal de UberlândiaBrasilPrograma de Pós-graduação em Ciência da Computação, 2022)
Segmentação interativa de imagens usando redes complexas e competição e cooperação entre partículas
(Universidade Estadual Paulista (Unesp), 2019-01-30)
A segmentação de imagens é o processo de identificar e separar estruturas e objetos relevantes em uma imagem, não é uma tarefa trivial para um algoritmo computacional devido à complexidade dos elementos envolvidos no ...