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Publication search results
found 20 matches
- 2024
- Cristian Jimenez Castaño, A. Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Guitiérrez, J. Guerrero-Erazo:
Kreĭn twin support vector machines for imbalanced data classification. Pattern Recognit. Lett. 182: 39-45 (2024) - Guebin Choi, Hee-Seok Oh:
Decomposition via elastic-band transform. Pattern Recognit. Lett. 182: 76-82 (2024) - Roberto Daza, Aythami Morales, Julian Fiérrez, Ruben Tolosana, Rubén Vera-Rodríguez:
mEBAL2 database and benchmark: Image-based multispectral eyeblink detection. Pattern Recognit. Lett. 182: 83-89 (2024) - Aditi Gupta, Adeiza James Onumanyi, Satyadev Ahlawat, Yamuna Prasad, Virendra Singh, Adnan M. Abu-Mahfouz:
DAT: A robust Discriminant Analysis-based Test of unimodality for unknown input distributions. Pattern Recognit. Lett. 182: 125-132 (2024) - Saurabh Hinduja, Tara Nourivandi, Jeffrey F. Cohn, Shaun J. Canavan:
Time to retire F1-binary score for action unit detection. Pattern Recognit. Lett. 182: 111-117 (2024) - Cong Hu, Jiang-Tao Song, Jia-Sheng Chen, Rui Wang, Xiao-Jun Wu:
Manifold-based multi-graph embedding for semi-supervised classification. Pattern Recognit. Lett. 182: 53-59 (2024) - Xiaoyue Jin, Haojing Li, Dengxiu Yu, Zhen Wang, Xuelong Li:
Topological optimization of continuous action iterated dilemma based on finite-time strategy using DQN. Pattern Recognit. Lett. 182: 133-139 (2024) - Robert Jöchl, Andreas Uhl:
Content bias in deep learning image age approximation: A new approach towards better explainability. Pattern Recognit. Lett. 182: 90-96 (2024) - Hyoseo Kim, Junsuk Choe:
Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy. Pattern Recognit. Lett. 182: 31-38 (2024) - Eleonora Lopez, Filippo Betello, Federico Carmignani, Eleonora Grassucci, Danilo Comminiello:
Attention-map augmentation for hypercomplex breast cancer classification. Pattern Recognit. Lett. 182: 140-146 (2024) - Weili Peng, Tao Zhou, Yuanyuan Chen:
Enhancing mass spectrometry data analysis: A novel framework for calibration, outlier detection, and classification. Pattern Recognit. Lett. 182: 1-8 (2024) - Surbhi Raj, Jimson Mathew, Arijit Mondal:
Generalized and robust model for GAN-generated image detection. Pattern Recognit. Lett. 182: 104-110 (2024) - Chanho Shin, Seong-Jun Oh:
Co-TES: Learning noisy labels with a Co-Teaching Exchange Student method. Pattern Recognit. Lett. 182: 17-23 (2024) - Qianying Tang, Wei Xiang, Qi Su, Shunli Zhang:
ABAE: Auxiliary Balanced AutoEncoder for class-imbalanced semi-supervised learning. Pattern Recognit. Lett. 182: 118-124 (2024) - Indu Valsaladevi, Sabu M. Thampi:
Misinformation detection in social networks using emotion analysis and user behavior analysis. Pattern Recognit. Lett. 182: 60-66 (2024) - Xiaofeng Wang, Zhe Liu, Xiangru Qiao, Zhiquan Li, Sidong Wu, Jiao Zhang, Yonghuai Liu, Zhan Li, Hongbo Guo, Huaizhong Zhang:
Clustering-inspired channel selection method for weakly supervised object localization. Pattern Recognit. Lett. 182: 46-52 (2024) - Yongliang Wu, Xiao Pan, Jinghui Li, Shimao Dou, Xiaoxue Wang:
Interpretable answer retrieval based on heterogeneous network embedding. Pattern Recognit. Lett. 182: 9-16 (2024) - Luhui Xu, Yanling Gan, Haiying Xia:
Learning from feature and label spaces' bias for uncertainty-adaptive facial emotion recognition. Pattern Recognit. Lett. 182: 97-103 (2024) - Chenyue Yang, Yichao Cao, Xiaobo Lu:
Towards better small object detection in UAV scenes: Aggregating more object-oriented information. Pattern Recognit. Lett. 182: 24-30 (2024) - Jiongkai Ye, Yong Wu, Dongliang Peng:
Low-quality image object detection based on reinforcement learning adaptive enhancement. Pattern Recognit. Lett. 182: 67-75 (2024)
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