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A Low-Power Hardware-Friendly Binary Decision Tree Classifier for Gas Identification
Published 2011-03-01“…The proposed DT classifier circuit removes the need for multiplication operation enabling up to 80% savings in terms of silicon area and power compared to oblique based-DT while achieving 91.36% classification accuracy without throughput degradation. …”
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Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks
Published 2021-01-01“…All the embedding models are assessed by intrinsic evaluators and those selected are the 9 best performing models out of 90 for the authorship classification. In total 36 classification models, including four classification models (CNN, LSTM, SVM, SGD) and three embedding techniques with 100, 200 and 250 embedding dimensions, are trained with optimized hyperparameters and tested on three benchmark datasets (BACC-18, BAAD16 and LD). …”
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Comparação funcional entre revisão de artroplastia de joelho séptica e asséptica Functional comparison between septic and aseptic knee arthroplasty review
Published 2009-01-01“…The analysis of the data obtained shows better scores for the second group in HSS and in 06 of 08 domains of SF-36 classification. CONCLUSIONS: The on-step review of total knee arthroplasty leads to better functional outcomes.…”
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Comparison of Compliance Rates and Classification of Epileptic Seizures with ILAE 1981, Lüders, ILAE 2001 Epilepsy Classification Systems, Before and After Their Monitorization
Published 2015-12-01“…According to ILAE 2001, 36 classifications (72%) were consistent, and according to Lüders classification, 39 classifications (78%) were consistent.Conclusion:Comparison performed by a single observer revealed no significant difference among the 3 classification systems before and after monitorization.…”
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