A spatial plot of optimal solution for parametrized base case. by Ryu B. Lippmann (14797597)

Ideal plot showing exaggerated, underestimated and optimal forecasts with varying and λ. by Meenakshi Narayan (8811341)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

Box plot of the percentile of the linear prediction score among cases versus controls for asthma. by Junyang Qian (9558026)

Box plot of the percentile of the linear prediction score among cases versus controls for high cholesterol. by Junyang Qian (9558026)

Optimized model fitting results. by Rongxin Gong (18864603)

Calibration plots for all models on the Derivation cohort. by Agni Orfanoudaki (8878097)

Variable importance metric as measured by mean decrease in gini index (standardized between 0 and 100) for externalizing problem behavior, based on random forest with the number of... by Samrachana Adhikari (7818143)

Variable importance metric as measured by mean decrease in gini index (standardized between 0 and 100) for internalizing problem behavior, based on random forest with the number of... by Samrachana Adhikari (7818143)

Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

Visualization of Residuals across different models applied in our research. by Md Junayed Hossain (22615268)

Validation Loss vs. Training Loss Curves for the CNN architectures and EfficientNet B3 model evaluated in this study. by Md Junayed Hossain (22615268)

A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. by Jamison H. Burks (21029607)

Table_1_Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.docx by Qi Wan (271320)

“…</p>Conclusions<p>After algorithm optimization, 2D feature-based radiomics models yield favorable results in differentiating malignant and benign SPLs, but 3D features are still preferred because of the availability of more machine learning algorithmic combinations with better performance. …”

Comparison of the KF and STOK filters under the realistic simulation framework. by D. Pascucci (7664165)

DataSheet_2_Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.csv by Qi Wan (271320)

“…</p>Conclusions<p>After algorithm optimization, 2D feature-based radiomics models yield favorable results in differentiating malignant and benign SPLs, but 3D features are still preferred because of the availability of more machine learning algorithmic combinations with better performance. …”

DataSheet_1_Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.csv by Qi Wan (271320)

“…</p>Conclusions<p>After algorithm optimization, 2D feature-based radiomics models yield favorable results in differentiating malignant and benign SPLs, but 3D features are still preferred because of the availability of more machine learning algorithmic combinations with better performance. …”

Results for the Pattern Generation task. by Paolo Muratore (8331585)

Medium-throughput filtering by structural modeling and microarray screening. by Jérôme Tubiana (14559981)