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- Pin Wang, En Fan, Peng Wang. Comparative analysis of image classification algorithms based on traditional machine learning and deep learning. Pattern Recognition Letters, 141:61-67, 2021.
- Weirong Liu, Chengrui Cao, Jie Liu, Chenwen Ren, Yulin Wei, Honglin Guo. Fine-grained image inpainting with scale-enhanced generative adversarial network. Pattern Recognition Letters, 143:81-87, 2021.
- Akshi Kumar 0001, Kapil Sharma, Aditi Sharma. Hierarchical deep neural network for mental stress state detection using IoT based biomarkers. Pattern Recognition Letters, 145:81-87, 2021.
- Usman Saeed. Facial micro-expressions as a soft biometric for person recognition. Pattern Recognition Letters, 143:95-103, 2021.
- Stavros Ntalampiras. Speech emotion recognition via learning analogies. Pattern Recognition Letters, 144:21-26, 2021.
- Thomas Laloë. Quantization based clustering: An iterative approach. Pattern Recognition Letters, 142:51-57, 2021.
- Michela Gravina, Stefano Marrone 0002, Mario Sansone, Carlo Sansone. DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI. Pattern Recognition Letters, 145:67-73, 2021.
- Claudio Tortorici, Stefano Berretti, Ahmad Obeid 0001, Naoufel Werghi. Convolution operations for relief-pattern retrieval, segmentation and classification on mesh manifolds. Pattern Recognition Letters, 142:32-38, 2021.
- Cui-jin Li, Zhong Qu, Sheng-Ye Wang, Ling Liu. A method of cross-layer fusion multi-object detection and recognition based on improved faster R-CNN model in complex traffic environment. Pattern Recognition Letters, 145:127-134, 2021.