MS decreases the larger amplitude distribution in adult rats. by Jesús David Ayala-Rodríguez (17364296)

Training loss and validation loss for different methods. by Zhongyi Xia (18953836)

Training loss and validation loss for different models. by Zhongyi Xia (18953836)

Training loss and validation loss. by Ze Wei (556526)

“…Additionally, the WIPIoU loss function is developed to calculate IoU using auxiliary boundaries and address low-quality data, improving small-target recognition and accelerating convergence. …”

Matrix crosslinking decreases cell migration persistence. by Michael Pamonag (12295175)

Training-Validation accuracy and loss. by Hassaan Malik (10486121)

Training vs validation loss. by Chatla Subbarayudu (21368330)

A noxious temperature decrease without a prior increase produces a subtly larger decrease in pain intensity. by Benedict J. Alter (9745466)

Correlations of cytokines that significantly change between the pre-infusion and post-infusion blood draws pearson’s correlation between cytokine pairs is indicated by color and si... by Jordan K. Abbott (8934239)

Subjects:

Training and validation loss of the model. by Yao He (290155)

CNN segmentation validation loss throughout training. by Alex J. Allphin (17102503)

Loss map of training set and validation set. by Weiwei Cheng (582223)

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

Long COVID prevalence decreases with vaccine uptake in the U.S. by Manlio De Domenico (626037)

“…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …”

Training and validation loss/accuracy curves. by İlhan Uzel (14838394)

Points represent regions where the cluster coefficient was significantly larger in HC compared to MCI, at sparsity level of 0.15. by Therese M. Gilligan (7460906)

Training and validation loss. by Said A. Salloum (13257033)

“…The models were trained and validated using 10-fold cross-validation. XGBoost was trained with up to 300 boosting rounds, and performance was evaluated using accuracy, precision, recall, F1-score, ROC-AUC, and log loss. …”

Decrease of injuries. by Petr Fulin (8380320)

Subjects:

Example of predicted effects of choice bundling on preference for larger, later rewards (LLRs) over smaller, sooner rewards (SSRs). by Jeffrey S. Stein (11689918)

Training loss(T_loss), training accuracy (T_acc), validation loss (V_loss), validation accuracy (V_acc), test loss (Te_loss), test accuracy (Te_acc) for each of the optimizers corr... by Sidratul Montaha (13200394)