Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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Inherently interpretable deep learning framework highlights clinically relevant image regions. by Kerol Djoumessi (21349992)

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by 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. …”

The most common machine learning methods to predict ν_s. by Fahd Saeed Alakbari (10701871)

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Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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

“…Performance of ChatGPT-4.5 was compared against human raters on scoring record forms (i.e. word lists, numeric tables, and drawing responses). <b>Method:</b> Thirty-five deidentified BICAMS protocols, including the Symbol Digit Modalities Test (SDMT), California Verbal Learning Test–II (CVLT-II), and Brief Visuospatial Memory Test–Revised (BVMT-R), were independently scored by two trained human raters and ChatGPT-4.5. …”

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

Feature engineering. by Youli Jiang (15249070)

The optimized parameters of the proposed GPR method. by Fahd Saeed Alakbari (10701871)

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The refracted opposition-based learning mechanism. by Yang Guo (399435)

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Development of a machine learning method for predicting neutrophil-specific functional genes. by Guihua Wang (286390)

RMSE versus learning rate. by Zhe Hu (787283)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Comparison of the results of our model and other methods. by Weijia Zhu (65481)

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outcome of HPDL-MIAIHD technique with recent methods. by Naif Almakayeel (16846021)

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

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

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

Learn!Bio study: Grouping of Participants. by Katy Andrews (22311170)

“…A total of 317 Bioscience undergraduate students in years 1–3 at the biology department at a northwest English university participated in this anonymous, cross-sectional, mixed-method study with open and closed questions evaluating their perception and feedback to remote and blended learning provisions during the Covid-19 pandemic and post pandemic learning capturing academic years 2019/20–2022/23. …”