MetaRes-DMT-AS: A Meta-Learning Approach for Few-Shot Fault Diagnosis in Elevator Systems by Hongming Hu, Shengying Yang, Yulai Zhang, Jianfeng Wu, Liang He, Jingsheng Lei

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Few-Shot Learning With Prototypical Networks for Improved Memory Forensics by Muhammad Fahad Malik, Ammara Gul, Ayesha Saadia, Faeiz M. Alserhani

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Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology by Petr Kuritcyn, Rosalie Kletzander, Sophia Eisenberg, Thomas Wittenberg, Volker Bruns, Katja Evert, Felix Keil, Paul K. Ziegler, Katrin Bankov, Peter Wild, Markus Eckstein, Arndt Hartmann, Carol I. Geppert, Michaela Benz

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Few-Shot Transfer Learning-Based Fault Classification in Wireless Sensor Networks by Nouman Ijaz, Md. Nazmul Hasan, Insoo Koo

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Sustainable AI for plant disease classification using ResNet18 in few-shot learning by Fareeha Naveed, Adven Masih, Jabar Mahmood, Moeez Ahmed, Aitizaz Ali, Aysha Saddiqa, Mohamed Shabbir Hamza Abdulnabi, Ebenezer Agbozo

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BFER-Net: Babies Facial Expression Recognition Model Using ResNet12 Enabled Few-Shot Embedding Adaptation and Convolutional Block Attention Modules by Sumiya Arafin, Adnan Ferdous Ashrafi, Md. Golam Rabiul Alam, Ashis Talukder

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Hybrid Deep Learning Model for Cataract Diagnosis Assistance by Zonghong Feng, Kai Xu, Liangchang Li, Yong Wang

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Improving Few-Shot Named Entity Recognition with Causal Interventions by Zhen Yang, Yongbin Liu, Chunping Ouyang, Shu Zhao, Chi Zhu

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Research on Small-Sample Credit Card Fraud Identification Based on Temporal Attention-Boundary-Enhanced Prototype Network by Boyu Liu, Longrui Wu, Shengdong Mu

Subjects: “…boundary-enhanced prototype network…”
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Few-Shot Classification Study for Prototype Fusion and Completion by Yuheng Wang, Yanguo Sun, Zhenping Lan, Nan Wang, Jiansong Li, Xincheng Yang

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Weighted Contrastive Prototype Network for Few-Shot Hyperspectral Image Classification with Noisy Labels by Dan Zhang, Yiyuan Ren, Chun Liu, Zhigang Han, Jiayao Wang

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Pest classification: Explainable few-shot learning vs. convolutional neural networks vs. transfer learning by Nitiyaa Ragu, Jason Teo

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DCPNet: Distribution Calibration Prototypical Network for Few-Shot Image Classification by Ranhui Xu, Kaizhong Jiang, Lulu Qi, Shaojie Zhao, Mingming Zheng

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Learning From Natural Images in Few-Shot SAR Target Classification by Songhao Shi, Xiaodan Wang, Yafei Song

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Few-shot relation extraction approach for threat intelligence based on multi-level attention mechanism and hybrid prototypical network by Yushun Xie, Junchi Bao, Rui Zong, Zhaoquan Gu, Haiyan Wang

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SAR Target Depression Angle Invariant Recognition of Few-Shot Learning Via Dense Graph Prototype Network by Xiangyu Zhou, Yuhui Zhang, Qianru Wei

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Transformer-based prototype network for Chinese nested named entity recognition by Ke Zhang, Jun Lu, Zhongliang Ai, Licai Wang, Zhonglin Liu, Pingli Gu, Xuelin Liu

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Prototypical Few-Shot Learning for Histopathology Classification: Leveraging Foundation Models With Adapter Architectures by Kazi Rakib Hasan, Sijin Kim, Junghwan Cho, Hyung Soo Han

Subjects: “…bias-diminishing cosine similarity-based prototypical network (BDCSPN)…”
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