A modular text classification system that detects misinformation across multiple domains. Each niche has its own dataset, labeling rules, and baseline models (TF-IDF + Logistic Regression / Linear SVM ...

Abstract: One of the main goals in machine learning is the general functional dependencies. Recent advances in kernel-based methods are focused on designing flexible and powerful input and output ...

Abstract: Image classification of rhizome plants plays a crucial role in supporting agriculture, the herbal industry, and biodiversity conservation. However, the high visual complexity-resulting from ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

video-classification/ ├── data/ │ ├── train/ │ │ ├── action/ │ │ ├── comedy/ │ │ ├── drama/ │ │ ├── sports ...

Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...