Determination of the Solute Content and Volumetric Properties of Binary Ionic Liquid Mixtures Using a Global Regularity of Molar Volume Expansion by Javad Hekayati (1383249)

“…For instance, the water content, which is of great significance in IL studies, can easily be estimated using the proposed algorithm. By doing so, an overall AARD of 3.47% was obtained for the estimation of the water content of 68 binary systems. …”

On the limitations and opportunities of gender and country predictions for policy analyses by Matteo Ottaviani (22743338)

“…Additionally, the tool excludes researchers who do not identify within the male-female binary.</p><p dir="ltr">Given these observed limitations we will present if and how services like NamSor can still make an informative contribution to policy analyses via groupings of individuals or transformations of variables.…”

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

“…Finally, for spatial relationship verification, a Spatial Coverage Consistency Checking Operator for MCLP Results (SCCCOMR) is designed. Theoretical and applied experiments are conducted using four solvers: QBSolv, D-Wave Hybrid binary quadratic model 2, D-Wave Advantage system 4.1, and Gurobi. …”

Image4_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

Image1_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

Image2_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

Image3_Automatic recognition of complementary strands: lessons regarding machine learning abilities in RNA folding.png by Simon Chasles (16927875)

List of network properties used as features. by Anubha Dey (16788919)

“…Almost all machine learning tools are binary classifiers and involve only identifying SL pairs. …”

Interpretability analysis. by Michela C. Massi (14599915)

Optimal Timings Codebook.xlsx by Emma Spillane (11249121)

“…Exposures and confounders were converted into binary variables, reflecting the cut-offs used in the Algorithm. …”

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

“…Exposures and confounders were converted into binary variables, reflecting the cut-offs used in the Algorithm. …”

Image2_A novel signature to predict the neoadjuvant chemotherapy response of bladder carcinoma: Results from a territory multicenter real-world study.TIFF by Huihuang Li (1701952)

“…Then, we developed and validated a robust gene-based signature for accurate NAC prediction using weighted correlation network analysis (WGCNA), the least absolute shrinkage and selector operation (LASSO) algorithm, a multivariable binary logistic regression model, and immunohistochemistry (IHC).…”

Table2_A novel signature to predict the neoadjuvant chemotherapy response of bladder carcinoma: Results from a territory multicenter real-world study.docx by Huihuang Li (1701952)

“…Then, we developed and validated a robust gene-based signature for accurate NAC prediction using weighted correlation network analysis (WGCNA), the least absolute shrinkage and selector operation (LASSO) algorithm, a multivariable binary logistic regression model, and immunohistochemistry (IHC).…”

Image3_A novel signature to predict the neoadjuvant chemotherapy response of bladder carcinoma: Results from a territory multicenter real-world study.TIFF by Huihuang Li (1701952)

“…Then, we developed and validated a robust gene-based signature for accurate NAC prediction using weighted correlation network analysis (WGCNA), the least absolute shrinkage and selector operation (LASSO) algorithm, a multivariable binary logistic regression model, and immunohistochemistry (IHC).…”

Image1_A novel signature to predict the neoadjuvant chemotherapy response of bladder carcinoma: Results from a territory multicenter real-world study.TIFF by Huihuang Li (1701952)

“…Then, we developed and validated a robust gene-based signature for accurate NAC prediction using weighted correlation network analysis (WGCNA), the least absolute shrinkage and selector operation (LASSO) algorithm, a multivariable binary logistic regression model, and immunohistochemistry (IHC).…”

Table1_A novel signature to predict the neoadjuvant chemotherapy response of bladder carcinoma: Results from a territory multicenter real-world study.docx by Huihuang Li (1701952)

“…Then, we developed and validated a robust gene-based signature for accurate NAC prediction using weighted correlation network analysis (WGCNA), the least absolute shrinkage and selector operation (LASSO) algorithm, a multivariable binary logistic regression model, and immunohistochemistry (IHC).…”

Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction by Raul A. Flores (2910539)

“…To test the algorithms performance, we compare to a random search of the candidate space and report at least a 2-fold increase in the rate of discovery. …”

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

“…</p><p dir="ltr">Impurity content (%): Where reported, captures secondary contaminants from synthesis.…”

Demonstration data on the set up of consumer wearable device for exposure and health monitoring in population studies by Antonis Michanikou (8996667)

“…The implementation of this GPS data filling algorithm allowed replacing the missing 5-minute intervals with estimated values. …”