Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Iteration curve of the optimization process. by Meijun Shang (22806461)

Influence of parameter <i>b</i> in the model. by Qun Zhao (603175)

Replication Package: Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction by Md Nadim (17811941)

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

“…<p>^<b>a</b>PATH⁺ shows comparable or better performance with less overfitting, as evidenced by a smaller slope, with much less increase in RMSEs beyond the training dataset, compared to established binding affinity prediction algorithms spanning a variety of methods. …”

Order parameters versus temperature for the NucB tasks: by Carlos A. Gomez-Uribe (21492788)

Subjects:

General model performance for different algorithms. by Binghan Xue (21253235)

Prediction accuracy dimension. by Qingbo Tu (22641033)

CASynergy algorithm workflow. by Haitao Li (305080)

Algorithm performance comparison. by Haiyan Wang (25821)

Fitness score statistics for BADASS optimization of alpha-amylase (AMY_BACSU). by Carlos A. Gomez-Uribe (21492788)

Subjects:

Performance comparison of Seq2Fitness and alternative models. by Carlos A. Gomez-Uribe (21492788)

Subjects:

Overview of our approach. by Carlos A. Gomez-Uribe (21492788)

Subjects:

Alpha amylase sampling: by Carlos A. Gomez-Uribe (21492788)

Subjects:

Order parameters versus temperature for amylase tasks: by Carlos A. Gomez-Uribe (21492788)

Subjects:

Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 by Berith Atemoztli De la Cruz Sánchez (21758708)

“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. …”

Pseudo-code for the study design model. by Jianpeng Zhang (528185)

Top 10 QKI–AS Event Associations Predicted by APDCA and Their Evidence in OncoSplicing. by Yangsong He (13909371)

Subjects:

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…Recently, Kernel Graph Regression (KGR) and Gaussian Processes over Graph (GPoG) have emerged as promising techniques for this task. …”

Positive and Negative Predictive Values of the 2017 Uganda national childhood TB diagnosis algorithm (NTLP) and the 2022 WHO TB diagnosis algorithms A & B under three reference standards with or without chest x-ray (CXR) at different prevalence levels (5%, 12%, and 20%). by Peter J. Kitonsa (7037504)

Subjects: