Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

Decrease in loss during the training process. by Muhammad Idrees (92773)

Submergence degree data. by Yu Zhou (89766)

Assessment values of machine learning models. by Bin Pan (742525)

Subjects:

A large degree of genetic structure exists in <i>Porites</i> spp. species complex. by Carly B. Scott (21736069)

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

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …”

Presidents' mental models over time (in-degree centrality) by Sami Russell Nour (22185145)

degree of faithfulness to the explanation. by Kyuhyung Kim (651731)

Presidents’ generated mental models over time (out-degree centrality) by Sami Russell Nour (22185145)

Degree assortativity and centralization across different datasets. by Sergey Shvydun (21353846)

Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

Subjects:

MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins by Martin J. Fossat (3714079)

“…To address this problem, we developed "multisite extent of deprotonation originating from context" (MEDOC) to determine the degree of protonation of a protein based on the local sequence context of each ionizable residue. …”

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

Subjects:

Percentages of the count of out-degrees in the higher-degree sets of Bhutan, Hungary, Iran, and Nepal data sets. by Badhan Das (7434362)

WASH conditions’ degree of dependence on household factors in Nigeria. by Jacob W. Mobolaji (22057405)

Subjects:

Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

Variability of burning degree by anatomical regions. by Paula Becerra Fuello (22177478)

Speed and accuracy variation with <i>k</i>_<i>P</i>. by Ankur Kamboj (19846178)

Subjects:

Effort variation with <i>η</i>. by Ankur Kamboj (19846178)

Subjects: