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Pattern Recognition Letters, Volume 180
Volume 180, 2024
- Shunqin Jiang, Qiyuan Feng, Hengxin Li, Zhenyun Deng, Qinghong Jiang:
Attention based multi-task interpretable graph convolutional network for Alzheimer's disease analysis. 1-8 - Zhenzhe Gao
, Zhaoxia Yin, Hongjian Zhan, Heng Yin, Yue Lu:
Adaptive watermarking with self-mutual check parameters in deep neural networks. 9-15 - Asif Mehmood, Javeria Amin, Muhammad Sharif, Seifedine Kadry:
Human Gait Recognition by using Two Stream Neural Network along with Spatial and Temporal Features. 16-25 - Zhen Zhang, Qiyun Lv
GBCA: Graph Convolution Network and BERT combined with Co-Attention for fake news detection. 26-32 - Ao Jia
Learning interactions across sentiment and emotion with graph attention network and position encodings. 33-40 - Sandra Bergmann, Denise Moussa, Fabian Brand, André Kaup, Christian Riess:
Forensic analysis of AI-compression traces in spatial and frequency domain. 41-47 - Ayoub Karine
Channel-spatial knowledge distillation for efficient semantic segmentation. 48-54 - Aldo Marcelo Paim
Adaptive regularized ensemble for evolving data stream classification. 55-61 - Jinyoung Kim, Youngjoong Ko
SPACE: Senti-Prompt As Classifying Embedding for sentiment analysis. 62-67 - Yuanming Li
Towards high-fidelity facial UV map generation in real-world. 68-74 - Lydia Abady
A siamese-based verification system for open-set architecture attribution of synthetic images. 75-81 - Simone Magistri
Continual learning for adaptive social network identification. 82-89 - Kexin Meng, Shanjie Yang, Piercarlo Cattani, Shijiao Gao, Shuli Mei:
Multifractal characterization and recognition of animal behavior based on deep wavelet transform. 90-98 - Kai Sugahara
Hierarchical matrix factorization for interpretable collaborative filtering. 99-106 - Zifan Zhu
PDTE: Pyramidal deep Taylor expansion for optical flow estimation. 107-112 - Lei Chen, Zhanjie Song:
Frame-part-activated deep reinforcement learning for Action Prediction. 113-119 - Zafran Khan, Abhijeet Boragule, Brian J. d'Auriol, Moongu Jeon:
Improvised contrastive loss for improved face recognition in open-set nature. 120-126 - Lujing Wang
Learning on sample-efficient and label-efficient multi-view cardiac data with graph transformer. 127-133
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