IEEE

RSTFusionX: Leveraging Rhetorical Structure Theory and Ensemble Models for Depression Prediction in Social Media Posts

Abstract: Depression is a common and severe mental disorder that frequently goes undiagnosed and untreated, particularly during its initial phase. However, with the increasing number of people sharing ...

AI teams: The new blueprint for enterprise automation

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
IEEE

Ensemble Deep Learning Models for Enhanced Brain Tumor Classification by Leveraging ResNet50 and EfficientNet-B7 on High-Resolution MRI Images

Abstract: Brain tumors are among the most significant and challenging medical conditions because of their sometimes-fatal outcomes and complexity of treatment options. Early, exact detection of brain ...
GitHub

STRIDE Threat Analysis Framework with MITRE ATT&CK Integration

This project is a Python-based, end-to-end STRIDE threat modeling and analysis framework with MITRE ATT&CK mapping. It enables you to: ...
Microsoft

Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble Models

Objective or purpose: To investigate an ensemble-based approach utilizing deep learning models for accurate and interpretable detection of Macular Telangiectasia Type 2 (MacTel) on optical coherence ...