Biases in larger populations. by Sander W. Keemink (21253563)

“…Threshold parameter <i>c</i> = − 0 . 1 for the rectified cosine tuning with 4 neurons, and width <i>w</i> was 1 for von Mises tuning. …”

Average stability values (mean ± standard deviation) and statistical results. by Hyung Suk Yang (20442438)

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Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

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Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

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Individual stability values for different gait events under various conditions. by Hyung Suk Yang (20442438)

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Passive sensing data. by Thierry Jean (20691795)

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TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

Comparison of environmental perception time results at different learning rates. by Wenhui Wang (34265)

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TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

Regression analyses of the number of all ultrasonic calls identified by the experienced researcher (A.P.; “Human”) and by the DeepSqueak machine learning tool. by Piotr Popik (292215)

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Statistic STD values of different satellite systems. by Jiang Li (272926)

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Dr. Hannah Lapp’s—like custom features in action. by Piotr Popik (292215)

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Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

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Cement retention force values(N) for each group in the cement retention strength test. by Long Li (6555)

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A frame from the video with behaviors annotated in a custom way. by Piotr Popik (292215)

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S1 File - by Chantelle M. de Vet (16535257)

“…Repeated measurements analysis showed a significant decrease in variability of the LV- and RV-GLS score differences between the expert and trainees over time (<i>p</i>_adj<0.001), which was not significantly different between trainees. …”

The (A) logistic regression model (LRM) and (B) random forest model (RFM) with only conservation scores as independent variables (orange, yellow) show decreased model fitting metri... by Bushra Haque (20513785)

A raw video analyzed by DLC shows the camera view with two white rats, a water supply at the bottom, a sandpaper and echo-attenuating sponge on the inner walls. by Piotr Popik (292215)

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Example of accuracy plots for soil organic carbon (oc_usda.c729_w.pct) content and soil pH in water (ph.h2o_usda.a268_index) with Lin’s CCC gradually decreasing from MIR to NIR Neo... by José L. Safanelli (20552654)

Data correlated and used in the study. by Joseph Kagabo (20405114)

“…Analysis of collected data was performed using Xgboost (gain) and Random Forest (mean decrease in accuracy), machine learning techniques, to construct models that evaluate and categorize the importance of all physico-chemical properties on the presence and abundance of intermediate host snails (IHS).…”