1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IR2025
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
Jiacheng Hu, Tai An, Zidong Yu +2
This paper proposes a cold start recommendation model that integrates contrastive learning, aiming to solve the problem of performance degradation of recommendation systems in cold…
cs.LG2025★ 1 cited
A Structured Reasoning Framework for Unbalanced Data Classification Using Probabilistic Models
Junliang Du, Shiyu Dou, Bohuan Yang +2
This paper studies a Markov network model for unbalanced data, aiming to solve the problems of classification bias and insufficient minority class recognition ability of traditiona…
cs.CV2025★ 1 cited
Object Detection for Medical Image Analysis: Insights from the RT-DETR Model
Weijie He, Yuwei Zhang, Ting Xu +3
Deep learning has emerged as a transformative approach for solving complex pattern recognition and object detection challenges. This paper focuses on the application of a novel det…