CUCAI 2025 Proceedings
Papers
Browse the CUCAI 2025 proceedings and read each paper online.
BOLLD: Body and Oral Language Learning Decoder
Nicole Sorokin et al.
Art Suggester AI: The Art Recommendation Tool
Iain Macdonald et al.
TrafficLightRL
Kristian Diana et al.
Exploring the Ethical Implications of Using AI-Based Software for MRI Diagnosis in Clinical Settings
Komal Azeem et al.
Graph-Informed Transformers for Neural Network Inference Latency Prediction
Asad Khan
An Application of Reinforcement Learning in Rocket League
Josh Albom et al.
Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development
David Szczecina et al.
Lovelytics: Multi-Agent Approach to LLM Task Automation for Business Users
Alvina Yang et al.
Brain-Agnostic 3DCNNs Learn Naturalistic Emotion from 7t fMRI
Joshua Lunger et al.
Flow to Learn: Flow Matching on Neural Network Parameters
Daniel Saragih et al.
Evaluating Decision-Making Generalization in RAG Agent Architectures
Mehar Shienh et al.
Can AI Design Cancer Vaccines? Evaluating Neural Networks for Epitope Prediction
Caitlin Roach et al.
Generative Music AI’s $350 Millon Problem: Compensating Creators for the Use of Copyrighted Materials in Training Sets
Josh Wagman et al.
Financial Narrative Genome
Aidan LoStracco Sean McCorquodale Alyssa Spasic Sudrisha Sarkar
RecognEyes – Smart Glasses for Prosopagnosia
Zain Parihar et al.
Energy Savings in Buildings Using Predictive Analysis
Leland Sion et al.
Mechanistic Interpretability Through Multi-Feature Steering of Neural Networks
David Courtis Jagrit Rai Dhruv Popli David Krayacich Brigitte Rauch Rojella Santos
A Versatile Platform in Unity for Prototyping Evolutionary-Behavior and AI Research
Ashish Ajin Thomas et al.
American Sign Language Recognition for Underrepresented Populations
Taylor Balsky et al.
RespiraCheck: Using Audio Analysis as a COVID-19 Testing Tool
Jennifer Chiou et al.
AI Squared Tournament: A Flexible Reinforcement Learning Framework for 1v1 Platform Fighting Agents
Kaden Seto et al.
Real Time Object Detection for Competitive Robotics
Jordan Chung et al.
CNN-based Diagnosis from Medical Imaging: Leveraging Transfer Learning for Enhanced Accuracy
Nathan Wan et al.
Do We Need Transformers to Play FPS Video Games?
Karmanbir Batth et al.
Automated Road Damage Detection and Interactive Mapping Using YOLOv11, YOLOv12, and DeepSORT
Thomas Dermengea et al.
Toxicity Prediction Based on Molecular Structure Using Machine Learning
Tristan William Tucker Tejal Simran Cheema
A Deep Reinforcement Learning and Predictive Architecture for Stock Portfolio Management
Ali Elhor et al.
Sedentary Posture Recognition and Correction Using a Convolutional Neural Network (CNN) and the You Only Look Once Version 8 (YOLOv8) Pose Estimation Model
Justin Rui et al.
DentAI Vision: AI-Powered Dental X-Ray Analysis for Enhancing Trust and Patient Education
Maha Kesibi et al.
World Model Architectures for Model-Based Reinforcement Learning
Triston Grayston Ari Van Everdingen
AI consciousness and the evolution of labour ethics: Reframing historical materialism
Cameron Christie et al.
ZoningLLM – A Novel Multimodal Application for Zoning Analysis
Simha Kalimipalli et al.
Accessible EEG Classification with Attention-Based Neural Networks
Mercy Doan et al.
ProphetJet: Predictive Maintenance Modelling Using LSTM, Random Forest, and XGBoosting to Forecast RUL Metrics of NASA Turbofan Jet Engines
Arjan Waraich et al.
A Mechanistic Interpretability Approach to LLM Jailbreak Defense
Mitchell Sabbadini et al.
educ-AI-tion
Sidonia Tameshtit et al.
Enhancing Self-Driving Segmentation in Adverse Weather Conditions: A Dual Uncertainty-Aware Training Approach to SAM Optimization
Dharsan Ravindran et al.