deep

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deep

정의: Deep may refer to:

📄 키워드 상세정보

핵심 연구 분야Artificial Intelligence
주요 연도2024년
주요 연관 키워드learning
좋아요 수0

키워드별 논문 목록 (31건)

Deep subspace clustering via latent representation learning
저자: Shenglei Pei , Qinghao Han , Zepu Hao , Hong Zhao
키워드: #popular #deep #spectral #connectivity #affinity
파트: Artificial Intelligence | 연도: 2025
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
저자: Ioannis Sarridis , Christos Koutlis , Symeon Papadopoulos , Christos Diou
키워드: #popular #deep #improved #mitigation #racial
파트: Strategies | 연도: 2025
Identification of Cryptographic Algorithms Based on CNN
저자: Hailiang Hu , Ke Yuan
키워드: #algorithm #algorithms #encryption #powerful #deep
파트: Cryptography | 연도: 2025
Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainability
저자: Alexander Hammer , Marc Goettling , Hagen Malberg , Axel Linke , Sergio Richter , Norman Mangner , Martin Schmidt
키워드: #intelligence #learning #artificial #diagnostic #deep
파트: Verification | 연도: 2025
Deep metric learning-based side-channel analysis with improved robustness and efficiency
저자: Kaibin Li , Yihuai Liang , Hua Meng , Zhengchun Zhou
키워드: #algorithm #vulnerabilities #deep #cryptographic #leakage
파트: Verification | 연도: 2025
User Document Classification Using Privacy-Preserving Data Mining
저자: Divyani D. Palankar , G. A. Patil
키워드: #learning #deep #discovery #valuable #detailed
파트: Databases | 연도: 2025
Dynamic dual mining framework for long-tailed out-of-distribution detection
저자: Bin Sheng , Dengye Pan , Xiaoqiang Li
키워드: #learning #detection #deep #hard #critical
파트: Databases | 연도: 2025
3D ME-Net: multi-scale and edge-guided enhancement network for intracranial aneurysm segmentation
저자: Jiaqi Wang , Juntong Liu , Jun Li , Aiping Wu , Yunfeng Zhou , Mingquan Ye
키워드: #crucial #deep #threatening #aneurysms #aneurysm
파트: Networking | 연도: 2025
Manifold and patch-based unsupervised deep metric learning for fine-grained image retrieval
저자: Shi-hao Yuan , Yong Feng , A-Gen Qiu , Guo-fan Duan , Ming-liang Zhou , Bao-hua Qiang , Yong-heng Wang
키워드: #learning #challenging #training #deep #retrieving
파트: Artificial Intelligence | 연도: 2024
Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching
저자: Shubham Kulkarni , Arya Marda , Karthik Vaidhyanathan
키워드: #engineering #challenges #software #deep #mls
파트: Artificial Intelligence | 연도: 2024