Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx حسب Rasita Vinay (21006911)

"…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …"

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? حسب Michael Jaworski III (22156096)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip حسب Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip حسب Yan Cong (1491478)

Identification of Gut Microbiota Biomarker Genera Distinguishing Wild and Captive Animals (A) Top 50 discriminative genera selected by random forest classifier, ranked by mean decr... حسب Lin Xu (94491)

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. حسب Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. حسب Jacqueline A. Jansen (14894276)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) حسب Kerol Djoumessi (21349992)

Data Sheet 1_Changes in voxel-wise gray matter asymmetry over time.pdf حسب Florian Kurth (350282)

"…Here, we set out to further explore age-related changes in brain asymmetry, with a particular focus on voxel-wise gray matter asymmetry. For this purpose, we selected a sample of 2,322 participants (1,150 women/1,172 men), aged between 47 and 80 years (mean 62.3 years), from the UK Biobank. …"

Algorithm training accuracy experiments. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

Repeat the detection experiment. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

Detection network structure with IRAU [34]. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

Ablation experiments of various block. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

Kappa coefficients for different algorithms. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

The structure of ASPP+ block. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

The structure of attention gate block [31]. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

DSC block and its application network structure. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

The structure of multi-scale residual block [30]. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

The structure of IRAU and Res2Net+ block [22]. حسب Yingying Liu (360782)

"…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …"

Feature engineering. حسب Youli Jiang (15249070)