Homomorphic binary tree. حسب Jianhua He (341366)

Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level حسب Giovanni Nattino (561797)

"…Few studies, however, have used matching designs with more than two groups, due to the complexity of matching algorithms. We fill the gap by developing an iterative matching algorithm for the three-group setting. …"

An example of a type of texture of binary preferred/non-preferred ranges of raw vegetation index values type feature. حسب Elise Varaela Voltura (17592996)

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

Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. حسب Richard Porwancher (11413931)

Thesis-RAMIS-Figs_Slides حسب Felipe Santibañez-Leal (10967991)

"…In the context of facies recovery using simulations, the task of optimal sampling is formalized and addressed using a maximum information extraction criterion. …"

Optimal Timings Codebook.xlsx حسب Emma Spillane (11249121)

An example of a type of percent cover of preferred ranges of vegetation index texture values type feature. حسب Elise Varaela Voltura (17592996)

Optimal Time Intervals of Breech Births Dataset حسب Emma Spillane (11249121)

UK Biobank data wrangling statistics and results. حسب Simeone Marino (81051)

Fig 12 - حسب Nisha Yadav (366131)

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…The shape of the cell was then approximated using the Ramer-Douglas-Peucker algorithm, which involved adjusting the level of detail (epsilon value) iteratively until an approximation with five corners was achieved. …"

Data_Sheet_1_The impact of family urban integration on migrant worker mental health in China.docx حسب Xiaotong Sun (6535064)

"…The analysis discerns three distinct clusters denoting varying degrees of urban integration within these familial units, namely high-level, medium-level, and low-level urban integration. …"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"