| An introductory review of deep learning for prediction models with big data F Emmert-Streib, Z Yang, H Feng, S Tripathi, M Dehmer Frontiers in artificial intelligence 3, 4, 2020 | 670 | 2020 |
| Combining deep learning with token selection for patient phenotyping from electronic health records Z Yang, M Dehmer, O Yli-Harja, F Emmert-Streib Scientific reports 10 (1), 1432, 2020 | 65 | 2020 |
| Prognostic modeling of predictive maintenance with survival analysis for mobile work equipment Z Yang, J Kanniainen, T Krogerus, F Emmert-Streib Scientific reports 12 (1), 8529, 2022 | 23 | 2022 |
| An introductory review of deep learning for prediction models with big data. Frontiers in Artificial Intelligence, 3: 4 F Emmert-Streib, Z Yang, H Feng, S Tripathi, M Dehmer | 19 | 2020 |
| Optimal performance of Binary Relevance CNN in targeted multi-label text classification Z Yang, F Emmert-Streib Knowledge-Based Systems 284, 111286, 2024 | 13 | 2024 |
| Evaluation of question answering systems: complexity of judging a natural language A Farea, Z Yang, K Duong, N Perera, F Emmert-Streib arXiv preprint arXiv:2209.12617, 2022 | 11 | 2022 |
| Threshold-learned CNN for multi-label text classification of electronic health records Z Yang, F Emmert-Streib IEEE Access 11, 93402-93419, 2023 | 8 | 2023 |
