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. …”

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

Project Summary - Supporting Learners with a contextualised Community of Practice (CoP) by Leigh-Anne Perryman (20453192)

Table_1_Relations of coping strategies and cognitive emotion regulation to Chinese children’s academic achievement goals and academic performance.DOCX by Li Chen-Bouck (8971721)

“…Although maladaptive CER was not used as often as adaptive CER by Chinese children, the more they used maladaptive CER, the more likely they were to have academic achievement goals that focused on things other than learning itself, whereas the more Chinese children used adaptive CER, the more likely they were to set an achievement goal to master the knowledge. …”

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)

A, B. Effects on explicit instruction about prospects of alternative goals on behavior. by Sneha Aenugu (21364349)

“…</b> Retrospective choice proportion decreases with instructions yet is significantly inflated when contrasted with the prospective agent. …”

Modulation of performance during learning. by Daniel Ramandi (10047543)

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

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

Machine Learning Models for High Explosive Crystal Density and Performance by Jack V. Davis (9175514)

“…The rate of discovery of new explosives with superior energy density and performance has largely stalled. Rapid property prediction through machine learning has the potential to accelerate the discovery of new molecules by screening of large numbers of molecules before they are ever synthesized. …”

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)

Branching behavior of a N = 10 units network at Trial T (case of strong inhibition = 0.60) by Elif Köksal-Ersöz (20378631)

Branching behavior of a N = 12 units network at Trial T + 1. by Elif Köksal-Ersöz (20378631)

Branching behavior of a N = 10 units network at trial T (case of weak inhibition = 0.55). by Elif Köksal-Ersöz (20378631)

Feature engineering. by Youli Jiang (15249070)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…This type of monitoring often relies on the use of navigation systems such as the Automatic Identification System (AIS). AIS data has been used to support the defense teams when identifying equipment defects, locating suspicious activity, ensuring ship collision avoidance, and detecting hazardous events. …”

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

Experimental setup under ablation experiments. by Long Di (9977453)

“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”

Obstacle uniform linear motion scenarios. by Long Di (9977453)

“…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …”