- Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi. Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognition Letters, 177:1-6, January 2024.
- Swakshar Deb, Shafin Rahman, Sejuti Rahman. GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network. Pattern Recognition Letters, 177:128-134, January 2024.
- Longbin Zeng, Jiayi Han, Liang Du 0004, Weiyang Ding. Rethinking precision of pseudo label: Test-time adaptation via complementary learning. Pattern Recognition Letters, 177:96-102, January 2024.
- Juan A. Olmos, Antoine Manzanera, Fabio Martínez. Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities. Pattern Recognition Letters, 177:157-163, January 2024.
- Kayato Soga, Soh Yoshida, Mitsuji Muneyasu. Exploiting stance similarity and graph neural networks for fake news detection. Pattern Recognition Letters, 177:26-32, January 2024.
- Yu Tang, Lijuan Sun, Xiaolong Xu 0002. SilentTrig: An imperceptible backdoor attack against speaker identification with hidden triggers. Pattern Recognition Letters, 177:103-109, January 2024.
- Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre. Hyperbolic prototypical network for few shot remote sensing scene classification. Pattern Recognition Letters, 177:151-156, January 2024.
- Muyang Yi, Dong Liang, Rui Wang, Yue Ding 0001, Hongtao Lu. Spammer detection on short video applications. Pattern Recognition Letters, 177:61-68, January 2024.
- Kai Wang, Changqing Zhang, Yu Geng, Huan Ma. Evidential Pseudo-Label Ensemble for semi-supervised classification. Pattern Recognition Letters, 177:135-141, January 2024.
- Jugurta Montalvão, Dami Duarte, Levy Boccato. A coincidence detection perspective for the maximum mean discrepancy. Pattern Recognition Letters, 177:20-25, January 2024.