a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset. by Nebojsa Bacanin (13932723)

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

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Confusion matrix for a binary outcome (adapted from Fawcett [30]). by João Albuquerque (12936572)

Histograms of various water quality parameters, including pH, Hardness, Solids, Chloramines, Sulfate, Organic Carbon, Trihalomethanes, Turbidity, and a binary portability check. by Amal H. Alharbi (21755906)

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

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Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel (19843282)

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. by Simeone Marino (81051)

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

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

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Schematic of iteration process of IDE-IIGA. by Ling Zhao (111365)

Feature selection process. by Balraj Preet Kaur (20370832)

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

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Proposed Algorithm. by Hend Bayoumi (22693738)

“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”

Homomorphic binary tree. by Jianhua He (341366)

<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

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

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A Practical Algorithm to Solve the Near-Congruence Problem for Rigid Molecules and Clusters by José Manuel Vásquez-Pérez (12843737)

“…The Fortran implementation of the algorithm is available as an open source library (https://github.com/qcuaeh/molalignlib) and is suitable to be used in global optimization methods for the identification of local minima or basins.…”

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

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Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

“…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …”

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

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