Literature comparison. by Saravanan Manoharan (21273304)

“…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”

Flow chart of proposed system. by Saravanan Manoharan (21273304)

“…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”

Literature review. by Saravanan Manoharan (21273304)

“…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”

IMU data and video synchronization. by Saravanan Manoharan (21273304)

“…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”

Confusion matrix-punch classification. by Saravanan Manoharan (21273304)

“…To reduce labeling effort, we apply a Query by Committee-based active learning technique, significantly decreasing the required labeling effort by one-sixth. …”

Changes in foveal location after surgery. by Seung Min Lee (1644409)

“…<div><p>Purpose</p><p>We investigated changes in macular topography and their association with visual acuity and metamorphopsia in the idiopathic epiretinal membrane (iERM).…”

Demographics of the enrolled patients. by Yuka Kasai (21354922)

“…The success rate in the seated position without the eye drop aid was 71.6%, and this rate decreased with increasing age; with the eye drop aid, the success rate improved significantly to 97.8%. …”

Overhead view of the eye drop aid. by Yuka Kasai (21354922)

“…The success rate in the seated position without the eye drop aid was 71.6%, and this rate decreased with increasing age; with the eye drop aid, the success rate improved significantly to 97.8%. …”

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”

Supplementary file 1_“We find that…” changing patterns of epistemic positioning in research writing.docx by Yanfang Yang (408813)

“…</p>Results<p>Our findings show that epistemic positioning has significantly decreased across all four disciplines over time, with writers increasingly preferring less use of epistemic markers in pursuit of an objective, data-based, and scientific style.…”

List of drug resistance gene. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Figs 1 and 2. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Primers sequences of drug resistance genes. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 3. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 4. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 5. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 6. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Serves as the data source for Fig 7. by Shuai Huang (60512)

“…Additionally, 16S rRNA species profiling revealed that the composting process significantly altered the microbial community structure, with an increased abundance of Firmicutes and a decreased abundance of Bacteroidetes in composted pig manure. …”

Clustering analysis of total and active RNAP II at genes during the transition from G1 to G2. by Douglas Maya-Miles (7024967)

Graphical abstract regarding program development. by Ana Beato (20489933)

“…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”