CUCAI 2026 Proceedings
Papers
Browse the CUCAI 2026 proceedings and read each paper online.
Progressive Optimization of HydraLA-Net for Microaneurysm Segmentation
Jessica Yuan
EDMFormer: Genre-Specific Self-Supervised Learning for Music Structure Segmentation
Krish Patel
TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers
Pooria Roy
B.A.I.L.I.F.F.: Bias Analysis in Interactive Legal Intelligence & Fairness Framework
Luke Blommesteyn
Comprehensive Evaluation of Explainable AI in Misinformation Detection: An Integrated Framework for Transformer-Based, Retrieval-Augmented, and LLM-Enhanced Approaches
Sudrisha Sarkar
Using Self-Supervised Learning for EEG with Heterogeneous Electrode Support via Graph Neural Networks and Task-Switch Contrastive Learning
Leopold Ehrlich
Predicting Neighborhood Affordability Tiers in Toronto Using Static Urban Features
Laura Gomez Villalba
Radiel Health - Uncertainty Aware Prediction for Hemodynamic Parameters in Vascular Surgery
Rishabh Sharma
Dynamic Graph Attention for Regime-Conditional Convex Portfolio Allocation
Henrique Leite
Beyond Bill C-27: From AI Legislative Gaps to a Reformed AI and Data Act
Mirwaaj Afzal
FORTif.ai: A Multimodal Platform for Safer Independent Living
Lino Kee
NeuralApnea Triage: Machine Learning Powered ECG Analysis System for Sleep Apnea Detection
Oliver Olejar
DeepFakeDetector: A Multi-Branch Fusion Framework for Cross-Generator Detection of AI-Generated Images
Lukhsaan Elankumaran
Can Time Series Foundation Models Forecast Nocturnal Hypoglycemia? A Benchmarking Study in Type 1 Diabetes
Christopher Risi
Nonlinear Machine Learning Models for Compositional Superconductivity Prediction
David Szczecina
CodeBuster
Aaron Yi
Multi-Model Architecture Evaluation for Amenity-Based Price Prediction in the Kingston Region
Dolev Klein Harari
Mitigating dataset bias in Alzheimer’s Disease diagnostic prediction
Wendy Zhang
VALID: Verified AI for Limiting Inefficient Diagnostics
Sama Al-Oda
ClipFarm
Foster Deighton
A Hierarchical Reinforcement Learning Framework for Risk-Aware Portfolio Management with Drawdown Minimization
Neelesh Nayak
Deep Learning Approaches for Cardiac MRI Segmentation: A Narrative Review of Methods and Clinical Applications
Brahmleen Papneja
F1oresight: Predicting Final Position and Race Winners in Formula 1 Using Random Forest and Historical Performance Data
Sandra Hu
Pianofi: Bridging Transcription and Arrangement in Audio-to-Piano Cover Generation
Jerry Zhu
Reinforcement Learning Ensemble for Dynamic Portfolio Allocation
Arya Farivar
TriAID: Chest X-Ray Follow-Up Imaging Recommendation
Edward Tanurkov
LLMs and Mental Health Vulnerability: A Prompt Engineering Approach to Assessing Risks for Emotional Dependency and Distorted Thinking
Rami Idris
Skin Cancer Diagnostics AI
Juna Kim
DeepfakeGuard: An Open-Source Multi-Modal Toolkit for Detecting AI-Generated Video and Audio
Aryan Biswas
The Efficiency Tradeoffs of Gaze Tracking
Heather Kong
SmartCV: A Four-Stage AI Pipeline for Company-Tailored Automated CV Standardization
Colin McLaughlin
Spectral features for Neural-initalized-Newton Solvers in Cardiovascular CFD simulations
Maximilian Pochapski
Bias Detection, Mitigation, and Auditing in Financial AI Systems
Kay Yan
Real-Time Modeling of Drill String Torque
Abtin Abbaspour
Benchmarking Deep RL for Off-Grid Hybrid Microgrids in Sub-Saharan Africa
Jordan Leis