Search Results - "De Souza Britto, Alceu"

Automatic counting of trypanosomatid amastigotes in infected human cells by de Souza Relli, Cleber, Facon, Jacques, Ayala, Horacio Legal, De Souza Britto, Alceu

“…This article presents an automatic approach to counting amastigotes in human cells infected with Chagas. The approach is divided into four steps: first,…”
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Incremental specialized and specialized-generalized matrix factorization models based on adaptive learning rate optimizers by Viniski, Antônio David, Barddal, Jean Paul, de Souza Britto Jr, Alceu, de Campos, Humberto Vinicius Aparecido

“…•Incremental models are most suitable for cold-start scenarios.•Adaptive learning rate methods are effective in data stream environments.•Learning…”
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CSBF: A static ensemble fusion method based on the centrality score of complex networks by Silva, Ronan Assumpção, Britto Jr, Alceu de Souza, Enembreck, Fabricio, Sabourin, Robert, Oliveira, Luiz E. S.

“…Ensemble of classifiers can improve classification accuracy by combining several models. The fusion method plays an important role in the ensemble performance…”
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Temporal analysis of drifting hashtags in textual data streams: A graph-based application by Garcia, Cristiano Mesquita, Britto, Alceu de Souza, Barddal, Jean Paul

“…Initially supported by Twitter, hashtags are now used on several social media platforms. Hashtags are helpful for tagging, tracking, and grouping posts on…”
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An explainable machine learning approach for student dropout prediction by Krüger, João Gabriel Corrêa, Britto, Alceu de Souza, Barddal, Jean Paul

“…School dropout is a relevant socio-economic problem across the globe. Predictive models have been developed to determine the likelihood of students dropping…”
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Event-driven Sentiment Drift Analysis in Text Streams: An Application in a Soccer Match by Garcia, Cristiano Mesquita, de Souza Britto, Alceu, Barddal, Jean Paul

“…Social media has been a data source for various applications, given its characteristic of working as a social sensor. Many applications in several areas, such…”
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Benchmarking Feature Extraction Techniques for Textual Data Stream Classification by Thuma, Bruno Siedekum, de Vargas, Pedro Silva, Garcia, Cristiano, de Souza Britto, Alceu, Barddal, Jean Paul

“…Feature extraction regards transforming unstructured or semi-structured data into structured data that can be used as input for classification and sentiment…”
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A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start by Viniski, Antônio David, Barddal, Jean Paul, Britto Jr, Alceu de Souza, Enembreck, Fabrício, Campos, Humberto Vinicius Aparecido de

“…•Retail data made available depicts concept drift and cold start problems.•Neural networks are effective in recommending items to supermarket users.•Streaming…”
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An industrial edge computing architecture for Local Digital Twin by Kondo, Ricardo Eiji, Andrade, Willian Jeferson, de Mello Henequim, Clayton, Lazzaretti, André Eugenio, de Souza Britto, Alceu, de Freitas Rocha Loures, Eduardo, Santos, Eduardo Alves Portela, Reynoso-Meza, Gilberto

“…Cyber–Physical Production Systems usher in a new era of smart manufacturing, with Digital Twin being a pivotal concept driving their adoption. Most literature…”
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Distance Functions and Normalization Under Stream Scenarios by Barboza, Eduardo V. L., de Almeida, Paulo R. Lisboa, de Souza Britto, Alceu, Cruz, Rafael M. O.

“…Data normalization is an essential task when modeling a classification system. When dealing with data streams, data normalization becomes especially…”
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Large-margin representation learning for texture classification by de Matos, Jonathan, de Oliveira, Luiz Eduardo Soares, de Souza Britto Junior, Alceu, Koerich, Alessandro Lameiras

“…•Provides an adaptative feature extraction method for small texture datasets based on a large-margin discriminant.•Faster training than a conventional…”
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Multiscale Analysis for Improving Texture Classification by Ataky, Steve Tsham Mpinda, Saqui, Diego, de Matos, Jonathan, de Souza Britto Junior, Alceu, Lameiras Koerich, Alessandro

“…Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for image…”
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2D Principal Component Analysis for Face and Facial-Expression Recognition by Oliveira, Luiz, Mansano, Marcelo, Koerich, Alessandro, de Souza Britto, Alceu

“…Although it shows enormous potential as a feature extractor, 2D principal component analysis produces numerous coefficients. Using a feature-selection…”
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Naïve Approaches to Deal With Concept Drifts by Lisboa de Almeida, Paulo R., Oliveira, Luiz S., Souza Britto, Alceu de, Paul Barddal, Jean

“…A common problem in machine learning is to find representative real-world labeled datasets to put the methods to test. When developing approaches to deal with…”
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Network infrastructure design with a multilevel algorithm by Silva, Hideson Alves da, de Souza Britto, Alceu, Oliveira, Luiz Eduardo Soares de, Koerich, Alessandro L.

“…► We describe an algorithm to design low cost and optimized network infrastructures. ► The existing dependency among the different network levels is…”
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Segmentation-Free Approaches For Handwritten Numeral String Recognition by Hochuli, Andre G., Oliveira, Luiz S., Souza Britto, Alceu de, Sabourin, Robert

“…This paper presents segmentation-free strategies for the recognition of handwritten numeral strings of unknown length. A synthetic dataset of touching numeral…”
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Image Metamorphosis to Support Forensic Reconstruction by Azevedo, Breno, Facon, Jacques, De Souza Britto, Alceu

“…This paper presents a new image metamorphosis method, ADAMM, especially developed to overcome the challenge in Forensic facial reconstruction of missing…”
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Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications by Ko, Albert Hung-Ren, Cavalin, Paulo Rodrigo, Sabourin, Robert, de Souza Britto, Alceu

“…Hidden Markov models (HMMs) have been shown to be useful in handwritten pattern recognition. However, owing to their fundamental structure, they have little…”
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Pairwise fusion matrix for combining classifiers by Ko, Albert H.R., Sabourin, Robert, Britto, Alceu de Souza, Oliveira, Luiz

“…Various fusion functions for classifier combination have been designed to optimize the results of ensembles of classifiers (EoC). We propose a pairwise fusion…”
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Ensemble of HMM classifiers based on the clustering validity index for a handwritten numeral recognizer by Ko, Albert Hung-Ren, Sabourin, Robert, Britto, Alceu de Souza

“…A new scheme for the optimization of codebook sizes for Hidden Markov Models (HMMs) and the generation of HMM ensembles is proposed in this paper. In a…”
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