IEEE

Multilingual and Multi-Class Sentiment Classification Using Machine Learning, BERT, and GPT-4o-mini

Abstract: In this study, we investigate multilingual and multiclass sentiment classification by analyzing datasets in Turkish, English, and Italian. The proposed approach consists of three main stages ...
Frontiers

Deep learning-based automated detection of endometrioid endometrial carcinoma in histopathology

Background: Rapid advances in artificial intelligence (AI) have enabled automated tumor identification. To overcome challenges in traditional pathology, including complex sampling and limited ...
GitHub

DLR-CLIP: Dual-Level Refinement for Few-Shot Vision-Language Adaptation

Dual-Level Refinement (DLR) with CLIP for Few-Shot Learning. This project implements advanced multi-module fusion techniques for improving CLIP performance on few-shot learning tasks through ...
IEEE

Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection

Abstract: Point cloud anomaly detection is essential for various industrial applications. The huge computation and storage costs caused by the increasing product classes limit the application of ...