A5085844351- Machine Learning and Algorithms
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Agricultural and Food Sciences
- Gene expression and cancer classification
- Soybean genetics and cultivation
- Machine Learning in Bioinformatics
- AI in cancer detection
- Smart Agriculture and AI
- Geography and Environmental Studies
- Electricity Theft Detection Techniques
- Algorithms and Data Compression
- Genetics, Bioinformatics, and Biomedical Research
- Machine Learning and Data Classification
Universidade Tecnológica Federal do Paraná
2017-2022
Nowadays, there is an abundance of biomedical data, such as images and genetic sequences, among others. However, a lack annotation to volume due the high costs involved perform this task. Thus, it mandatory develop techniques ease burden human annotation. To reach goal active learning strategies can be applied. state-of-the-art methods, generally, are not feasible lead with real-world datasets. Another important issue, that generally neglected by these related conception classifier tends...
Nowadays, deep features, obtained from a variety of learning architectures, play an important role in several real problems. It is know that transfer strategies could be employed to take advantage such features trained under general context (e.g. ImageNet). However, the best our knowledge, majority works focus on similar contexts accomplish strategies. Thus, this work we analyze content-based medical image retrieval, and demonstrate it possible make use specific context, like mammographic...
Nowadays a huge volume of biomedical data (images, genes, etc) are daily generated. The interpretation such involves considerable expertise. misinterpretation and/or misdetection suspicious clinical finding leads to increasing the negligence claims, and redundant procedures (e.g. biopsies). analysis is complex task which performed by specialists on whose expertise degree affects accuracy their diagnosis. Besides, due data, it tiresome process. To mitigate these intrinsic drawbacks...
O Brasil é um dos maiores produtores e exportadores de sementes soja do mundo. Sua ótima aceitação dada a suas peculiaridades nutritivas industriais. Tendo em vista maior produtividade, utilização semente alta qualidade fator importante. Nesse sentido, o teste tetrazólio têm se destacado, devido à sua precisão rapidez na avaliação vigor soja. No entanto, processo análise totalmente relacionado ao conhecimento experiência analista semente. Dessa forma, este artigo propõe uma metodologia...
A produção e seleção de sementes alta qualidade são fatores primordiais para o sucesso da cultura soja. O teste tetrazólio tem se destacado sido adotado pela indústria no Brasil. No entanto, uma problemática que pode ser observada nos processos testes análises das é tempo esforço do especialista, tornando processo extremamente laborioso. Portanto, objetivo desse trabalho desenvolver disponibilizar os especialistas ferramentas classificação recuperação imagens baseada em conteúdo. Os...