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A reinforcement learning-guided interpretable method for postoperative sepsis prediction with Hilbert-Schmidt Independence Criterio
Author: Zhong, Kunhua; Chen, Han; Sun, Qilong; Wang, Peng; Liu, Zhenbei; Chen, Yuwen
Journal: FRONTIERS IN BIG DATA. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/fdata.2026.1811110
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A disease potential-driven graph attention model for comorbidity risk prediction of hypertensio
Author: Zhou, Leming; Qin, Hanshu; Yang, Yanmei; Huang, Gang; Liu, Zhigang
Journal: FRONTIERS IN BIG DATA. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/fdata.2026.1814157
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Jingdezhen ceramic culture in the digital era: a qualitative inquiry into digital dissemination and platform innovatio
Author: Huang, Qiuyang; Chen, Zhengjun
Journal: FRONTIERS IN BIG DATA. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/fdata.2026.1752142
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GFTrans: an on-the-fly static analysis framework for code performance profilin
Author: Li, Jie; Wen, Yunbao; Liu, Jingxin; Zeng, Biqing; Mirjalili, Seyedali
Journal: FRONTIERS IN BIG DATA. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/fdata.2026.1779935
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Federated learning for teacher data privacy protection: a study in the context of the PIP
Author: Chen, Shanwei; Qi, Xiu Zhi; Han, Xue Hui; Fan, Zhao Chen; Wang, Le Le
Journal: FRONTIERS IN BIG DATA. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/fdata.2026.1681382
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Dynamic transfer learning with co-occurrence-guided multi-source fusion for urban spatio-temporal crime predictio
Author: Cui, Chen; Zheng, Ziwan; Du, Hao; Wang, Wen
Journal: FRONTIERS IN BIG DATA. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/fdata.2026.1697392
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Depression detection through dual-stream modeling with large language models: a fusion-based transfer learning framework integrating BERT and T5 representation
Author: Wang, Na; Zhang, Weijia; Kamil, Raja; Renner, Ian; Al-Haddad, Syed Abdul Rahman; Ibrahim, Normala; Zhao, Zhen
Journal: FRONTIERS IN BIG DATA. 2026; Vol. 8, Issue , pp. -. DOI: 10.3389/fdata.2025.1651290
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Adaptive core-enhanced latent factor model for highly accurate QoS predictio
Author: Ai, Siqi; Li, Peixin; Fang, Hao; Xia, Yonghui
Journal: FRONTIERS IN BIG DATA. 2026; Vol. 9, Issue , pp. -. DOI: 10.3389/fdata.2026.1775728