An up-to-date comparison of state-of-the-art classification algorithms C Zhang, C Liu, X Zhang, G Almpanidis Expert Systems with Applications 82, 128-150, 2017 | 482 | 2017 |
An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme J Bi, C Zhang Knowledge-Based Systems 158, 81-93, 2018 | 214 | 2018 |
Multi-imbalance: An open-source software for multi-class imbalance learning C Zhang, J Bi, S Xu, E Ramentol, G Fan, B Qiao, H Fujita Knowledge-Based Systems 174, 137-143, 2019 | 165 | 2019 |
On incremental learning for gradient boosting decision trees C Zhang, Y Zhang, X Shi, G Almpanidis, G Fan, X Shen Neural Processing Letters 50, 957-987, 2019 | 102 | 2019 |
Street view text recognition with deep learning for urban scene understanding in intelligent transportation systems C Zhang, W Ding, G Peng, F Fu, W Wang IEEE Transactions on Intelligent Transportation Systems 22 (7), 4727-4743, 2020 | 67 | 2020 |
Identity-aware convolutional neural networks for facial expression recognition C Zhang, P Wang, K Chen, JK Kämäräinen Journal of Systems engineering and Electronics 28 (4), 784-792, 2017 | 51 | 2017 |
An empirical study on the joint impact of feature selection and data resampling on imbalance classification C Zhang, P Soda, J Bi, G Fan, G Almpanidis, S García, W Ding Applied Intelligence 53 (5), 5449-5461, 2023 | 44 | 2023 |
Character-level street view text spotting based on deep multisegmentation network for smarter autonomous driving C Zhang, Y Tao, K Du, W Ding, B Wang, J Liu, W Wang IEEE Transactions on Artificial Intelligence 3 (2), 297-308, 2021 | 42 | 2021 |
An empirical evaluation of high utility itemset mining algorithms C Zhang, G Almpanidis, W Wang, C Liu Expert Systems with applications 101, 91-115, 2018 | 40 | 2018 |
Exploring pattern mining algorithms for hashtag retrieval problem A Belhadi, Y Djenouri, JCW Lin, C Zhang, A Cano IEEE Access 8, 10569-10583, 2020 | 39 | 2020 |
AI-powered oracle bone inscriptions recognition and fragments rejoining C Zhang, R Zong, S Cao, Y Men, B Mo Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 22 | 2021 |
Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain C Zhang, J Bi, P Soda 2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017 | 22 | 2017 |
Turning wingbeat sounds into spectrum images for acoustic insect classification C Zhang, P Wang, H Guo, G Fan, K Chen, JK Kämäräinen Electronics Letters 53 (25), 1674-1676, 2017 | 17 | 2017 |
A personalized federated learning-based fault diagnosis method for data suffering from network attacks Z Zhang, F Zhou, C Zhang, C Wen, X Hu, T Wang Applied Intelligence 53 (19), 22834-22849, 2023 | 16 | 2023 |
Data-driven oracle bone rejoining: A dataset and practical self-supervised learning scheme C Zhang, B Wang, K Chen, R Zong, B Mo, Y Men, G Almpanidis, S Chen, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 16 | 2022 |
RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism W Ding, Y Sun, J Huang, H Ju, C Zhang, G Yang, CT Lin Information Sciences 657, 120007, 2024 | 14 | 2024 |
An empirical comparison of latest data clustering algorithms with state-of-the-art X Shi, W Wang, C Zhang Indonesian Journal of Electrical Engineering and Computer Science 5 (2), 410-415, 2017 | 11 | 2017 |
Object-centric contour-aware data augmentation using superpixels of varying granularity F Dornaika, D Sun, K Hammoudi, J Charafeddine, A Cabani, C Zhang Pattern Recognition 139, 109481, 2023 | 10 | 2023 |
Discovering highly informative feature sets from data streams C Zhang, F Masseglia International Conference on Database and Expert Systems Applications, 91-104, 2010 | 10 | 2010 |
A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization F Dornaika, J Bi, C Zhang Neural Networks 158, 188-196, 2023 | 8 | 2023 |