Browse by Journal
 | Up a level |
Gonzalez-Nunez, Enrique and Trejo, Luis A and Kampouridis, Michail (2024) Expanding a Machine Learning Class Towards its Application to the Stock Market Forecast. Applied Intelligence, 55 (1). DOI https://doi.org/10.1007/s10489-024-06018-4
Dai, Shuang and Meng, Fanlin (2023) Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning. Applied Intelligence, 53 (9). pp. 11045-11072. DOI https://doi.org/10.1007/s10489-022-04065-3
Hu, Jingzhao and Zhang, Hao and Liu, Yang and Sutcliffe, Richard and Feng, Jun (2022) BBW: a batch balance wrapper for training deep neural networks on extremely imbalanced datasets with few minority samples. Applied Intelligence, 52 (6). pp. 6723-6738. DOI https://doi.org/10.1007/s10489-021-02623-9
Lu, Xin and Deng, Yao and Sun, Ting and Gao, Yi and Feng, Jun and Sun, Xia and Sutcliffe, Richard (2022) MKPM: Multi keyword-pair matching for natural language sentences. Applied Intelligence, 52 (2). pp. 1878-1892. DOI https://doi.org/10.1007/s10489-021-02306-5
Amorim, Renato and Makarenkov, Vladimir (2021) Improving cluster recovery with feature rescaling factors. Applied Intelligence, 51 (8). pp. 5759-5774. DOI https://doi.org/10.1007/s10489-020-02108-1