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Laura A. Zanella-Calzada

Researcher at University of Lorraine

Publications -  37
Citations -  523

Laura A. Zanella-Calzada is an academic researcher from University of Lorraine. The author has contributed to research in topics: Mammography & Feature selection. The author has an hindex of 8, co-authored 36 publications receiving 238 citations. Previous affiliations of Laura A. Zanella-Calzada include Autonomous University of Zacatecas & Universidad Autónoma de San Luis Potosí.

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Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases

TL;DR: This work focused on fine-tuning based on the comparison of the state-of-the-art architectures: AlexNet, GoogleNet, Inception V3, Residual Network (ResNet) 18, and ResNet 50, and concluded that this significantly success rate makes the GoogleNet model a useful tool for farmers in helping to identify and protect tomatoes from the diseases mentioned.
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An efficient Harris hawks-inspired image segmentation method

TL;DR: An efficient methodology for multilevel segmentation is proposed using the Harris Hawks Optimization (HHO) algorithm and the minimum cross-entropy as a fitness function and it presents an improvement over other segmentation approaches that are currently used in the literature.
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Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013⁻2014.

TL;DR: It is possible to conclude that the classification model developed through the deep ANN is able to classify subjects with absence of caries from subjects with presence or restorations with high accuracy, according to their demographic and dietary factors.
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Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients

TL;DR: It is concluded that the motor activity allows distinguishing between the two classes of depression, providing a preliminary and automated tool to specialists for the diagnosis of depression.