CANDID-II Dataset by Sijing Feng (10187216)

“…</p><p dir="ltr">Unfortunately, since Feb 2024, the New Zealand government is changing the data governance on datasets used for AI development and this affects the process of how the CANDID II dataset is to be accessed by the external users. …”

Table 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.xlsx by Roberto Visalli (8152251)

“…In this study, we have processed X-ray maps of major elements from the 2021 basaltic lava rocks of Pacaya volcano (Guatemala) through the Quantitative X-ray Map Analyzer (Q-XRMA) software. …”

Enhancing Healthcare Transparency: Leveraging Machine Learning, GIS Mapping and Power BI for Private Hospital Insurance Claims Analysis by Maryam Binti Haji Abdul Halim (20249544)

“…</p><p dir="ltr">Key Features and Tools:</p><ul><li><b>Machine Learning Algorithms:</b> Leveraging <b>Python (pandas, numpy, scikit-learn)</b> for predictive modeling to assess claim validity and treatment outcomes.…”

Uncertainty and Novelty in Machine Learning by Derek Scott Prijatelj (20364288)

“…We introduce an abstraction of novelty that is then further developed in terms of information theory and algorithms.</p> <p>This formalizes the concept of identifiable information that arises from the language used to express the relationship between distinct states. …”

Context tree classification and clustering by Adriano Zanin Zambom (20448557)

“…<p>In this manuscript, we develop clustering and classification algorithms for Context trees arising from Variable Length Markov Chains (VLMC). …”

CANDID-III Dataset by Sijing Feng (10187216)

“…</p><p dir="ltr">Unfortunately, since Feb 2024, the New Zealand government is changing the data governance on datasets used for AI development and this affects the process of how the CANDID III dataset is to be accessed by the external users. …”

Transcriptome-based insights into the role of cancer-associated fibroblasts in lung adenocarcinoma prognosis and therapy by Yinhe Feng (12235982)

“…Four different algorithms were used to quantify CAF infiltration and stromal scores. …”

Dependent Random Partitions by Shrinking Toward an Anchor by David B. Dahl (11761055)

“…<p>Although exchangeable processes from Bayesian nonparametrics have been used as a generating mechanism for random partition models, we deviate from this paradigm to explicitly incorporate clustering information in the formulation of our random partition model. …”

Text-to-SQL Verification Methods and Benchmark by Tarfah Alrashed (15442229)

“…This allows for a more comprehensive evaluation of verification algorithms, enabling the measurement of both False Acceptance Rate (FAR) and False Rejection Rate (FRR).…”

Supplementary file 1_Machine learning for improved size estimation of complex marine particles from noisy holographic images.docx by Zonghua Liu (155371)

“…<p>Size estimation of particles and plankton is key to understanding energy flows in the marine ecosystem. A useful tool to determine particle and plankton size - besides abundance and taxonomy - is in situ imaging, with digital holography being particularly useful for micro-scale (e.g., 25 – 2,500 µm) marine particles. …”

Table 1_Integrated multi-omics analysis reveals key hub genes and mechanisms in calcific aortic stenosis.pdf by Feng-Xia Wang (17953739)

“…After DEG analysis, five algorithms were used to identify hub genes. ROC curves were constructed for the hub genes. …”

Table 2_Adverse drug events (ADEs) risk signal mining related to eculizumab based on the FARES database.xlsx by Xi-Feng Wang (6443420)

“…</p>Methods<p>Disproportionality analyses, including Reporting Ratio Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS) algorithms were used to quantify the signals of eculizumab-associated AEs.…”

Table 1_Adverse drug events (ADEs) risk signal mining related to eculizumab based on the FARES database.docx by Xi-Feng Wang (6443420)

“…</p>Methods<p>Disproportionality analyses, including Reporting Ratio Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS) algorithms were used to quantify the signals of eculizumab-associated AEs.…”

Higher-Order Accurate Two-Sample Network Inference and Network Hashing by Meijia Shao (20543225)

“…Our method outperforms existing tools in speed and accuracy, and it is proved power-optimal. Our algorithms are user-friendly and versatile in handling various data structures (single or repeated network observations; known or unknown node registration). …”

Beyond Borders: The Impact of Transnational News Flows on Public Opinion and Geopolitical Narratives by Asmita Roy (21585298)

“…</p><p dir="ltr">The study uses publicly available data and transparent methodological frameworks to guarantee reproducibility and accessibility, upholding the values of openness and transparency in scholarly communication. …”

Table 1_Analysis of shared pathogenic mechanisms and drug targets in myocardial infarction and gastric cancer based on transcriptomics and machine learning.docx by Junyang Ma (17490300)

“…This study aimed to identify these common factors and potential pharmacologic targets.</p>Methods<p>Data from the IEU Open GWAS project were used. Two-sample Mendelian randomization (MR) analysis was used to explore the causal link between MI and GC. …”

Table 3_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.xlsx by Hanlin Yu (17776399)

“…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …”

Table 1_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.xlsx by Hanlin Yu (17776399)

“…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …”

Table 4_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.xlsx by Hanlin Yu (17776399)

“…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …”

Table 2_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.xlsx by Hanlin Yu (17776399)

“…</p>Methods<p>We analyzed transcriptome data from the GEO dataset to identify differentially expressed genes (DEGs). …”