List of potential novel associations predicted with a high score and confirmed by the most recent literature works. by Paolo Perlasca (9909695)

Scores of municipalities projected on the first and second functional PC (A), and first and third functional PC (B). by Manuel Ribeiro (17889313)

Consistency of model-derived predictive patterns as a function of sample diversity. by Oualid Benkarim (9707986)

Local magnetization and susceptibility as a function of temperature from Metropolis simulations with the global archetype model. by Giulio Ruffini (383994)

Phosphorylation-specific motifs identified by the Motif-X algorithm. by Xiaoxiao Qin (9247765)

The results of LASSO regression algorithm. by Xue Fu (549661)

Fitness function parameters. by Ankita Sharma (3183054)

Evolution of objective function. by Serdar Ekinci (15927455)

“…A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, is developed. …”

Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" by Jiaqing Wang (18814630)

Hyper parameter settings for ML Algorithms. by R. S. Jayaram (22139155)

An Algorithmic Approach Based on Data Trees and Genetic Algorithms to Understanding Charged and Neutral Metal Nanocluster Growth by Chelsea M. Mueller (8351745)

“…Metal nanocluster growth pathways are challenging to study due to the number of possible species involved and the branching nature of possible mechanisms. We present a data tree-based approach to mapping these reaction pathways based on structures and energies obtained from Density Functional Theory (DFT) computations and including positive, negative, and neutral clusters in a continuum solvent of water. …”

Performance of the smooth-index algorithm for matrices with different densities. by Alexander Borst (32619)

“…B</b> Performance of the algorithm as a function of the number of neurons. Plotted is the fraction of non-zero entries in the upper triangle of the matrix in case of the original connectivity matrix before scrambling (in black), after out-degree sorting (in red) and after smooth-index sorting (in blue). …”

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

Two-dimensional benchmark test-functions. by Salisu Mohammed (772274)

“…<div><p>This paper presents a hybrid Smell Agent Symbiosis Organism Search Algorithm (SASOS) for optimal control of autonomous microgrids. …”

Thirty-dimensional benchmark test-functions. by Salisu Mohammed (772274)

“…<div><p>This paper presents a hybrid Smell Agent Symbiosis Organism Search Algorithm (SASOS) for optimal control of autonomous microgrids. …”

Time response of the en-CSA based condenser with respect to different algorithms of CSA, RUN, PDO and RIME. by Sarah A. Alzakari (19704611)

Analysis of the limit cases of the sampling function. by Greta Grassmann (12418506)

Fitness curves of the 6 test functions. by Peiwen Zhang (1863202)

Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”

Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”