Comparison with other algorithms on a regression task. by Hiroshi Maruyama (2531797)

Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

Comparison of infection time estimators. by Soler Gabriela Bayolo (21011810)

Effect of <i>γ</i> on epidemic spread. by Soler Gabriela Bayolo (21011810)

Effect of sensitivity and specificity on epidemic spread. by Soler Gabriela Bayolo (21011810)

Effect of and on epidemic spread. by Soler Gabriela Bayolo (21011810)

Effect of the quarantine adoption fraction <i>q</i> on epidemic spread. by Soler Gabriela Bayolo (21011810)

Effect of super-spreaders on ranking methods. by Soler Gabriela Bayolo (21011810)

Supplementary file 1_Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI.zip by Nina de Lacy (6559520)

“…</p>Methods<p>We analyzed ~6,000 candidate predictors from multiple knowledge domains (cognitive, psychosocial, neural, biological) contributed by children of late elementary school age (9–10 yrs) and their parents in the ABCD cohort to construct individual-level models predicting the later (11–12 yrs) onset of depression, anxiety and somatic symptom disorder using deep learning with artificial neural networks. …”

Study workflow diagram. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

Stunting final dataset. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

A mean SHAP value report. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

A waterfall plot analysis. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

DataSheet1_An interpretable deep learning framework identifies proteomic drivers of Alzheimer’s disease.XLSX by Elena Panizza (4440172)

“…Recent research efforts have generated measurements of multiple omics in individuals that were healthy or diagnosed with AD. …”

Presentation1_An interpretable deep learning framework identifies proteomic drivers of Alzheimer’s disease.PDF by Elena Panizza (4440172)

“…Recent research efforts have generated measurements of multiple omics in individuals that were healthy or diagnosed with AD. …”

Longitudinal trajectories of functional network development across the birth transition. by Lanxin Ji (20290942)

“…Stronger RSFC within networks affirms validity of the network clustering algorithm. (B) Functional parcels and networks. (C) Age effect on the ROI-to-ROI functional connectivity. …”

Data Sheet 1_Predicting postoperative neurological outcomes of degenerative cervical myelopathy based on machine learning.docx by Shuai Zhou (331138)

“…After training and optimizing multiple ML algorithms, we generated a model with the highest area under the receiver operating characteristic curve (AUROC) to predict short-term outcomes following DCM surgery. …”

Supplementary information_CEAM by Ehsan Pishva (20540561)

“…CEAM applies over-representation analysis with cell type-specific CpG panels from Illumina EPIC arrays derived from nuclei-sorted cortical post-mortem brains from neurologically healthy aged individuals. The constructed CpG panels were systematically evaluated using both simulated datasets and published EWAS results from Alzheimer’s disease, Lewy body disease, and multiple sclerosis. …”