Rapid Prediction of Chemical Ecotoxicity Through Genetic Algorithm Optimized Neural Network Models by Ping Hou (17213)

“…To reduce the manual tuning effort on optimal network architecture, a genetic algorithm is investigated to automatically search and configure the network architecture. …”

Description of the dataset. by Davide Ferrari (163517)

“…We further assess its performance by comparing it to established ML algorithms using both naturally imbalanced real-world data and data that has been balanced through oversampling techniques. …”

List of data tables. by Mukhtar Ijaiya (18935122)

“…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …”

Flow chart of data source inclusion. by Mukhtar Ijaiya (18935122)

“…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …”

DataSheet_1_Raman Spectroscopic Differentiation of Streptococcus pneumoniae From Other Streptococci Using Laboratory Strains and Clinical Isolates.pdf by Marcel Dahms (9160118)

Predictive model-building process. by Mukhtar Ijaiya (18935122)

“…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …”

Comparison of models performance metrics. by Mukhtar Ijaiya (18935122)

“…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …”

A new approach in soil organic carbon estimation using machine learning algorithms: a study in a tropical forest in Vietnam by Thuy Phuong Nguyen (11769999)

“…This study aimed to evaluate the ability of SOC estimation using a multiple linear regression model (MLR) and four machine learning algorithms: artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) with satellite data sources and soil nutrient indicator data to find the optimal method. …”

Local alignment regime and symbols.pdf by Paul A. Gagniuc (1818325)

Workflow overview to reconstruct integrated host-virus genome-scale models and detect promising compounds with an antiviral activity. by Nantia Leonidou (14833068)

Data_Sheet_1_Degenerate Beta autoregressive model for proportion time-series with zeros or ones: An application to antimicrobial resistance rate using R shiny app.PDF by Jevitha Lobo (14368401)

“…The estimation is done using maximum likelihood with a non-linear optimization algorithm. An R shiny app has been provided for the same.…”

Data_Sheet_1_Degenerate Beta autoregressive model for proportion time-series with zeros or ones: An application to antimicrobial resistance rate using R shiny app.PDF by Jevitha Lobo (14368401)

“…The estimation is done using maximum likelihood with a non-linear optimization algorithm. An R shiny app has been provided for the same.…”

Table 1_Risk prediction for gastrointestinal bleeding in pediatric Henoch-Schönlein purpura using an interpretable transformer model.doc by Gahao Chen (21688843)

“…Comprehensive clinical data including symptoms and laboratory parameters were systematically collected. …”