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ORCIDFrontiers in Big Data, Volume 9
Volume 9, 2026
- Francisco Gumucio, Lu Zhang:
Algorithmic recourse in sequential decision-making for long-term fairness. - Guanyu Liu, Jinhang Liu, Guifan He, Yifan Liu, Huabo Bai, Min Zhou:
A genetic algorithm-based framework for online sparse feature selection in data streams. - Arif Mahmud, Ashikur Rahman, Fahmid Al Farid, Jia Uddin, Hezerul Bin Abdul Karim:
Modeling household adoption of IoT-based home security in Dhaka: a PLS-machine learning framework. - Chen Cui, Ziwan Zheng, Hao Du, Wen Wang:
Dynamic transfer learning with co-occurrence-guided multi-source fusion for urban spatio-temporal crime prediction. - Sara-Jane Bittner, Michael Barz, Daniel Sonntag:
FunduScope: a human-centered, machine learning-based interactive tool for training junior ophthalmologists in diabetic retinopathy detection. - Shanwei Chen, Xiu Zhi Qi, Xue Hui Han, Zhao Chen Fan, Le Le Wang:
Federated learning for teacher data privacy protection: a study in the context of the PIPL. - Asha Aruna Sheela Matta, Venkata Purna Chandra Sekhara Rao Manukonda:
Spatiotemporal deep learning framework for predictive behavioral threat detection in surveillance footage. - Siqi Ai, Peixin Li, Hao Fang, Yonghui Xia:
Adaptive core-enhanced latent factor model for highly accurate QoS prediction. - Jie Li, Yunbao Wen, Jingxin Liu, Biqing Zeng, Seyedali Mirjalili:
GFTrans: an on-the-fly static analysis framework for code performance profiling. - Qiuyang Huang, Zhengjun Chen:
Jingdezhen ceramic culture in the digital era: a qualitative inquiry into digital dissemination and platform innovation.
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last updated on 2026-03-25 23:23 CET by the dblp team
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