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A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system. Pattern Recognit. Lett. 136: 8-15 (2020) - Jhonn Pablo Rodríguez, David Camilo Corrales, Jean-Noël Aubertot, Juan Carlos Corrales:
A computer vision system for automatic cherry beans detection on coffee trees. Pattern Recognit. Lett. 136: 142-153 (2020) - Payel Sadhukhan, Sarbani Palit:
Adaptive learning of minority class prior to minority oversampling. Pattern Recognit. Lett. 136: 16-24 (2020) - Gonzalo Safont, Addisson Salazar, Luis Vergara:
Vector score alpha integration for classifier late fusion. Pattern Recognit. Lett. 136: 48-55 (2020) - Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk, João A. M. Santos:
How distance metrics influence missing data imputation with k-nearest neighbours. Pattern Recognit. Lett. 136: 111-119 (2020) - Roberto Valle, José Miguel Buenaposada, Luis Baumela:
Cascade of encoder-decoder CNNs with learned coordinates regressor for robust facial landmarks detection. Pattern Recognit. Lett. 136: 326-332 (2020) - Saverio De Vito, Girolamo Di Francia, Elena Esposito, Sergio Ferlito, Fabrizio Formisano, Ettore Massera:
Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices. Pattern Recognit. Lett. 136: 264-271 (2020) - Chen Wang, Chengyuan Deng, Suzhen Wang:
Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost. Pattern Recognit. Lett. 136: 190-197 (2020) - Yidong Wang, Lisha Mo, Huimin Ma, Jian Yuan:
OccGAN: Semantic image augmentation for driving scenes. Pattern Recognit. Lett. 136: 257-263 (2020) - Joseph Worsham, Jugal Kalita:
Multi-task learning for natural language processing in the 2020s: Where are we going? Pattern Recognit. Lett. 136: 120-126 (2020) - Yongzhe Yan, Stefan Duffner, Xavier Naturel, Anthony Berthelier, Christophe Garcia, Christophe Blanc, Thierry Chateau:
Two-stage human hair segmentation in the wild using deep shape prior. Pattern Recognit. Lett. 136: 293-300 (2020) - Yumeng Yuan, Yuhua Li, Zhenlong Zhu, Ruixuan Li, Xiwu Gu:
Adversarial joint domain adaptation of asymmetric feature mapping based on least squares distance. Pattern Recognit. Lett. 136: 251-256 (2020) - Jiaxin Zhang, Canjie Luo, Lianwen Jin, Tianwei Wang, Ziyan Li, Weiying Zhou:
SaHAN: Scale-aware hierarchical attention network for scene text recognition. Pattern Recognit. Lett. 136: 205-211 (2020) - Qi Zhang, Xiang Pan, Fuchang Liu, Shufang Lu:
A benchmark dataset for real-time detection of icons in mobile apps and a small-scale feature module. Pattern Recognit. Lett. 136: 87-93 (2020) - Yang Zhang, Xiaolin Tian, Nan Jia, Fengge Wang, Licheng Jiao:
Deep tracking using double-correlation filters by membership weighted decision. Pattern Recognit. Lett. 136: 161-167 (2020) - Jilian Zhang, Kaimin Wei, Xuelian Deng:
Heuristic algorithms for diversity-aware balanced multi-way number partitioning. Pattern Recognit. Lett. 136: 56-62 (2020) - Qiuming Zhu:
On the performance of Matthews correlation coefficient (MCC) for imbalanced dataset. Pattern Recognit. Lett. 136: 71-80 (2020)