Search Results - "Spolaor, Newton"

Robotics applications grounded in learning theories on tertiary education: A systematic review by Spolaôr, Newton, Benitti, Fabiane B.Vavassori

“…Empirical evidence suggests the effectiveness of robotics as a learning complementary tool in tertiary education. In this context, some experiences benefited…”
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A systematic review of multi-label feature selection and a new method based on label construction by Spolaôr, Newton, Monard, Maria Carolina, Tsoumakas, Grigorios, Lee, Huei Diana

“…Each example in a multi-label dataset is associated with multiple labels, which are often correlated. Learning from this data can be improved when…”
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Automatic recommendation of feature selection algorithms based on dataset characteristics by Parmezan, Antonio Rafael Sabino, Lee, Huei Diana, Spolaôr, Newton, Wu, Feng Chung

“…Feature selection in real-world data mining problems is essential to make the learning task efficient and more accurate. Identifying the best feature selection…”
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A systematic review on content-based video retrieval by Spolaôr, Newton, Lee, Huei Diana, Takaki, Weber Shoity Resende, Ensina, Leandro Augusto, Coy, Claudio Saddy Rodrigues, Wu, Feng Chung

“…Content-based video retrieval and indexing have been associated with intelligent methods in many applications such as education, medicine and agriculture…”
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Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines by Lee, Huei Diana, Mendes, Ana Isabel, Spolaôr, Newton, Oliva, Jefferson Tales, Sabino Parmezan, Antonio Rafael, Wu, Feng Chung, Fonseca-Pinto, Rui

“…•Review on recent dermoscopy melanoma classification results.•Design and optimization of a melanoma classification method with feature selection.•Proposal of…”
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Prototype system for feature extraction, classification and study of medical images by Oliva, Jefferson Tales, Lee, Huei Diana, Spolaôr, Newton, Coy, Claudio Saddy Rodrigues, Wu, Feng Chung

“…•MIAS 3.0 supports automatic feature extraction and medical image classification.•The system was developed according to prototyping, a software engineering…”
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Web System Prototype based on speech recognition to construct medical reports in Brazilian Portuguese by de Toledo, Thiago Ferreira, Lee, Huei Diana, Spolaôr, Newton, Rodrigues Coy, Cláudio Saddy, Wu, Feng Chung

“…•Integration of two ASR technologies into a WSP to generate medical reports.•Evaluation of Google's and Microsoft's ASR in a Brazilian Portuguese.•Google's ASR…”
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Feature Selection via Pareto Multi-objective Genetic Algorithms by Spolaôr, Newton, Lorena, Ana Carolina, Diana Lee, Huei

“…Feature selection, an important combinatorial optimization problem in data mining, aims to find a reduced subset of features of high quality in a dataset…”
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Lazy Multi-label Learning Algorithms Based on Mutuality Strategies by Cherman, Everton Alvares, Spolaôr, Newton, Valverde-Rebaza, Jorge, Monard, Maria Carolina

“…Lazy multi-label learning algorithms have become an important research topic within the multi-label community. These algorithms usually consider the set of…”
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Analysis of complexity indices for classification problems: Cancer gene expression data by Lorena, Ana C., Costa, Ivan G., Spolaôr, Newton, de Souto, Marcilio C.P.

“…Currently, cancer diagnosis at a molecular level has been made possible through the analysis of gene expression data. More specifically, one usually uses…”
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A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach by Spolaôr, Newton, Cherman, Everton Alvares, Monard, Maria Carolina, Lee, Huei Diana

“…Feature selection is an important task in machine learning, which can effectively reduce the dataset dimensionality by removing irrelevant and/or redundant…”
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Feature Selection for Multi-label Learning: A Systematic Literature Review and Some Experimental Evaluations by Spolaôr, Newton, Lee, Huei Diana, Takaki, Weber Shoity Resende, Wu, Feng Chung

“…Feature selection can remove non-important features from the data and promote better classifiers. This task, when applied to multi-label data where each…”
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Heuristics-based Responsiveness Evaluation of a Telemedicine Computational Web System by Ensina, Leandro Augusto, Lee, Huei Diana, Takaki, Weber Shoity Resende, Maciejewski, Narco Afonso Ravazzoli, Spolaor, Newton, Wu, Feng Chung

“…Computational technologies are increasingly included in our lives, presenting themselves as indispensable tools in most human activities and benefiting…”
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ReliefF for Multi-label Feature Selection by Spolaor, Newton, Alvares Cherman, Everton, Monard, Maria Carolina, Lee, Huei Diana

“…The feature selection process aims to select a subset of relevant features to be used in model construction, reducing data dimensionality by removing…”
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A Framework to Generate Synthetic Multi-label Datasets by Tomás, Jimena Torres, Spolaôr, Newton, Cherman, Everton Alvares, Monard, Maria Carolina

“…A controlled environment based on known properties of the dataset used by a learning algorithm is useful to empirically evaluate machine learning algorithms…”
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A video indexing and retrieval computational prototype based on transcribed speech by Spolaôr, Newton, Lee, Huei Diana, Takaki, Weber Shoity Resende, Ensina, Leandro Augusto, Parmezan, Antonio Rafael Sabino, Oliva, Jefferson Tales, Coy, Claudio Saddy Rodrigues, Wu, Feng Chung

“…Using the voice to interact with systems is attractive in medicine and other areas due to its friendliness and flexibility. Video indexing and retrieval have…”
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Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets by Spolaôr, Newton, Lee, Huei Diana, Mendes, Ana Isabel, Nogueira, Conceição Veloso, Parmezan, Antonio Rafael Sabino, Takaki, Weber Shoity Resende, Coy, Claudio Saddy Rodrigues, Wu, Feng Chung, Fonseca-Pinto, Rui

“…Convolutional neural networks have been effective in several applications, arising as a promising supporting tool in a relevant Dermatology problem: skin…”
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A computational system based on ontologies to automate the mapping process of medical reports into structured databases by Oliva, Jefferson Tales, Lee, Huei Diana, Spolaôr, Newton, Takaki, Weber Shoity Resende, Coy, Claudio Saddy Rodrigues, Fagundes, João José, Wu, Feng Chung

“…•A computational system was developed according to software engineering prototyping.•An original ontology-based Medical Report Mapping Process was automated in…”
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Label Construction for Multi-label Feature Selection by Spolaor, Newton, Monard, Maria Carolina, Tsoumakas, Grigorios, Huei Lee

“…Multi-label learning handles datasets where each instance is associated with multiple labels, which are often correlated. As other machine learning tasks,…”
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Complexity measures of supervised classifications tasks: A case study for cancer gene expression data by de Souto, Marcilio C P, Lorena, Ana C, Spolaôr, Newton, Costa, Ivan G

“…Machine Learning algorithms have been widely used for gene expression data classification, despite the fact that these data have often intrinsic limitations,…”
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