Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

<i>De Novo</i> Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization حسب Alberga Domenico (9356272)

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The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

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MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

Face recognition algorithm flow based on the PCA. حسب Na Lin (69470)

Summary of classification algorithms. حسب Stephen R. Piccolo (8367780)

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Classification algorithm hyperparameter combinations. حسب Stephen R. Piccolo (8367780)

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Summary of feature-selection algorithms. حسب Stephen R. Piccolo (8367780)

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Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation. حسب Simeone Marino (81051)

Feature-selection algorithm hyperparameter combinations. حسب Stephen R. Piccolo (8367780)

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Comparison of ranks for classification algorithms across performance metrics. حسب Stephen R. Piccolo (8367780)

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Tradeoff between execution time and predictive performance for classification algorithms. حسب Stephen R. Piccolo (8367780)

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RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms حسب Yidan Tang (6623693)

"…The Rosetta automated Monte Carlo reaction-based ligand design (RosettaAMRLD) integrates a Monte Carlo Metropolis (MCM) algorithm and reaction-driven molecule proposal to enhance structure-based <i>de novo</i> drug discovery. …"

Relative classification performance per combination of feature-selection and classification algorithm. حسب Stephen R. Piccolo (8367780)

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Comparison based on hard instances from [79]. حسب Xiang Tian (4369285)

"…Secondly, based on the data libraries of the IPMMPO, two tuple sets suitable for constraint programming modeling are further designed as data preprocessing. …"

Train test validation libraries. حسب Muhammad Usman Tariq (11022141)

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Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection. حسب Stephen R. Piccolo (8367780)

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Top 50 genes according to average rank across feature-selection algorithms for GSE10320 and GSE46691. حسب Stephen R. Piccolo (8367780)

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Image 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.tif حسب Xuehui Fan (10762662)