Protection against catastrophic forgetting via Hebbian learning. by Timo Flesch (14475111)

Image_1_Test-retest reliability of modular-relevant analysis in brain functional network.PDF by Xuyun Wen (414454)

“…Introduction<p>The human brain could be modeled as a complex network via functional magnetic resonance imaging (fMRI), and the architecture of these brain functional networks can be studied from multiple spatial scales with different graph theory tools. …”

FEP Protocol Builder: Optimization of Free Energy Perturbation Protocols Using Active Learning by César de Oliveira (6157808)

“…This has been driven by recent advances in small-molecule force fields and sampling algorithms combined with the availability of low-cost parallel computing. …”

Table_1_A Comparison Between Single- and Multi-Scale Approaches for Classification of Histopathology Images.pdf by Marina D'Amato (12992967)

Data_Sheet_1_Association between single and mixed exposure to polycyclic aromatic hydrocarbons and biological aging.docx by Zuqiang Fu (6241832)

Data Sheet 1_Comprehensive bioinformatics and in vitro studies reveal the carcinogenic role and molecular basis of endocrine disruptors in prostate cancer.xlsx by Feng Yu (273443)

“…From 101 machine learning algorithm combinations, the most relevant key genes for PCa progression were screened. …”

Data Sheet 2_Comprehensive bioinformatics and in vitro studies reveal the carcinogenic role and molecular basis of endocrine disruptors in prostate cancer.docx by Feng Yu (273443)

“…From 101 machine learning algorithm combinations, the most relevant key genes for PCa progression were screened. …”

Data_Sheet_1_Develop a diagnostic tool for dementia using machine learning and non-imaging features.docx by Huan Wang (109286)

“…Logistic regression, support vector machine (SVM), neural network, random forest, extreme gradient boosting (XGBoost), least absolute shrinkage and selection operator (LASSO), and best subset models were trained, tuned, and internally validated using a novel double cross validation algorithm and multiple evaluation metrics. The trained models were also compared and externally validated using a separate dataset with 1,100 participants from four communities in Zhejiang Province, China. …”

Table_4_Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognoses.xlsx by Yaping Guo (386743)

“…The study aims to identify and characterize clinically relevant subtypes in OC and develop a diagnostic model that can precisely stratify OC patients, providing more diagnostic clues for OC patients to access focused therapeutic and preventative strategies.…”

Table_1_Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognoses.xlsx by Yaping Guo (386743)

“…The study aims to identify and characterize clinically relevant subtypes in OC and develop a diagnostic model that can precisely stratify OC patients, providing more diagnostic clues for OC patients to access focused therapeutic and preventative strategies.…”

Table_2_Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognoses.xlsx by Yaping Guo (386743)

“…The study aims to identify and characterize clinically relevant subtypes in OC and develop a diagnostic model that can precisely stratify OC patients, providing more diagnostic clues for OC patients to access focused therapeutic and preventative strategies.…”

Table_3_Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognoses.xlsx by Yaping Guo (386743)

“…The study aims to identify and characterize clinically relevant subtypes in OC and develop a diagnostic model that can precisely stratify OC patients, providing more diagnostic clues for OC patients to access focused therapeutic and preventative strategies.…”

Table_5_Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognoses.xlsx by Yaping Guo (386743)

“…The study aims to identify and characterize clinically relevant subtypes in OC and develop a diagnostic model that can precisely stratify OC patients, providing more diagnostic clues for OC patients to access focused therapeutic and preventative strategies.…”

Image_1_Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognoses.tif by Yaping Guo (386743)

“…The study aims to identify and characterize clinically relevant subtypes in OC and develop a diagnostic model that can precisely stratify OC patients, providing more diagnostic clues for OC patients to access focused therapeutic and preventative strategies.…”

Video1_Fast strain mapping in abdominal aortic aneurysm wall reveals heterogeneous patterns.AVI by Marta Irene Bracco (16076957)

“…Specifically, the Sparse Demons algorithm was employed to track the wall motion throughout multiple cardiac cycles. …”

Video2_Fast strain mapping in abdominal aortic aneurysm wall reveals heterogeneous patterns.MP4 by Marta Irene Bracco (16076957)

“…Specifically, the Sparse Demons algorithm was employed to track the wall motion throughout multiple cardiac cycles. …”

DataSheet1_Fast strain mapping in abdominal aortic aneurysm wall reveals heterogeneous patterns.PDF by Marta Irene Bracco (16076957)

“…Specifically, the Sparse Demons algorithm was employed to track the wall motion throughout multiple cardiac cycles. …”

Data Sheet 1_Machine learning–based risk stratification for gastrointestinal bleeding in ICU patients with cirrhosis: evidence from the MIMIC database.docx by Yuxin Duan (10963881)

“…Key predictive variables were identified through a combination of the Boruta algorithm, correlation analysis, and variance inflation factor (VIF) assessment, ensuring both predictive relevance and control of multicollinearity. …”

The retrievability of L2 English multi-word items in a context of strongly form-focused exposure: What matters? Untitled Item by Seth Lindstromberg (5705819)

“…Assonant MWIs were semi-randomly selected from a pool of 56 candidates. We used a simple algorithm to prevent any CW from showing up on the same list of 26 MWIs. …”

Raw LC-MS/MS and RNA-Seq Mitochondria data by Stefano Martellucci (16284377)

“…., protein exclusively identified in either scLRP1+/+ or scLRP1-/-) was only considered relevant if all scLRP1+/+ samples or all scLRP1-/- samples expressed the protein. …”