Distribution of original measurements (blue line) and imputed measurements (red line) for missing values using multiple imputation with chain equation (MICE). by Jia Wei (120974)

Illustration of the wAL GHAC algorithm on a small network. by Petr Prokop (19959315)

Comparative Analysis of Mitosis Detection Method. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

Combination performance of each single caller and combination strategy in detecting DELs and INSs using the ‘neighboring SV method’ and ‘directly merge method’. by De-Min Duan (20685513)

Evaluation of different internal criteria effect on the structural quality of detected network cover in wAL GHAC method. by Petr Prokop (19959315)

Action potential detection with high temporal accuracy using a convolutional neural network (CNN). by Tjitse van der Molen (20391106)

Action potential detection with high temporal accuracy using a convolutional neural network (CNN). by Tjitse van der Molen (20391106)

Sensitivity and Specificity Analysis. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

CSI, Balanced accuracy, and FMI Analysis. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

Architecture of CDL Network. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

Hyper-parameter tuning of the proposed model. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

Accuracy and F-Measure Analysis. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

FPR and FNR analysis. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

Markedness and NLR Analysis. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

Accuracy vs loss for varying epochs. by Afnan M. Alhassan (18349378)

“…The proposed approach is rigorously evaluated on multiple publicly available mitosis detection datasets, including Mitosis WSI CCMCT Training Set, Mitosis-AIC, Mitosis Detection, and Mitosis and Non-Mitosis datasets. …”

Frequency trajectory and evidence for non-neutrality at the ASIP locus. by Adam G. Fine (21763286)

Left: The waves of COVID-19 infection in New Mexico in 2020. by Cosmin Safta (11105442)

Infection-rate detector results (top row) compared with the GLR-Poisson detector (bottom row), using data from 2020-06-01 to 2020-09-15. by Cosmin Safta (11105442)

Comparison of posterior predictive distribution results obtained via joint inference (using the GMRF model) for Bernalillo (left), Santa Fe (middle), and Valencia (right) shown on... by Cosmin Safta (11105442)

Comparison of reconstructed infection-rate profiles that underlie the predictions in Fig 6. by Cosmin Safta (11105442)