Data and code resources. by Sam Hall-McMaster (10343795)

“…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …”

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Effect of active learning. by Jia Li (160557)

Subjects:

Scalable and Automated Learning of Active Dynamics (SALAD) by Mengyang Gu (21751466)

Framework of the proposed algorithm. by Jia Li (160557)

Subjects:

CS activities to cues and their correlations with reward and sensorimotor variables. by Huu Hoang (9188747)

Subjects:

Data Sheet 2_Active learning with human heuristics: an algorithm robust to labeling bias.pdf by Sriram Ravichandran (14456604)

“…How does modeling the oracle as a human heuristic affect the performance of active learning algorithms? If there is a drop in performance, can one design active learning algorithms robust to labeling bias? …”

Data Sheet 1_Active learning with human heuristics: an algorithm robust to labeling bias.zip by Sriram Ravichandran (14456604)

“…How does modeling the oracle as a human heuristic affect the performance of active learning algorithms? If there is a drop in performance, can one design active learning algorithms robust to labeling bias? …”

Parameter configuration for deep reinforcement learning algorithm. by Sen Cao (6017846)

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects:

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

Data Sheet 1_A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm.pdf by Tianli Wang (1438498)

Depicts the schematic of the algorithm. by Dong Hyeok Choi (12562048)

Subjects: “…chemical constituent elements…”

Table 3_Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.xlsx by Shengfang Xia (21562691)

Table 2_Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.xlsx by Shengfang Xia (21562691)

Image 1_Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.tiff by Shengfang Xia (21562691)

Table 1_Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.docx by Shengfang Xia (21562691)

Image 3_Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.tiff by Shengfang Xia (21562691)

Image 4_Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.tiff by Shengfang Xia (21562691)