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Legal Judgment Prediction in the Context of Energy Market using Gradient Boosting.

, , , , , , , , , , , , , , , и . SMC, стр. 875-880. IEEE, (2020)

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João Conceição Ferreira

Gil dos Santos Guerreiro João

João Barros

João Fonseca

João Carreira

 

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Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans., , , , , , и . Medical Biol. Eng. Comput., 58 (9): 1947-1964 (2020)Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels., , , , , и . IWSSIP, стр. 51-56. IEEE, (2020)Image-Based Electric Consumption Recognition via Multi-Task Learning., , , , , , , и . BRACIS, стр. 419-424. IEEE, (2019)Multiclass Legal Judgment Outcome Prediction for Consumer Lawsuits using XGBoost and TPE., , , , , , , , , и 6 other автор(ы). SMC, стр. 881-886. IEEE, (2020)Legal Judgment Prediction in the Context of Energy Market using Gradient Boosting., , , , , , , , , и 6 other автор(ы). SMC, стр. 875-880. IEEE, (2020)Taxonomic Indexes for Automatic Prostate Segmentation on 3D MRI Scans Using Superpixels and Probabilistic Atlas., , , , , и . IWSSIP, стр. 122-127. IEEE, (2020)