受强制性开放获取政策约束的文章 - Han Hu了解详情
可在其他位置公开访问的文章：11 篇
Adaptive laplace mechanism: Differential privacy preservation in deep learning
NH Phan, X Wu, H Hu, D Dou
2017 IEEE international conference on data mining (ICDM), 385-394, 2017
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Scalable differential privacy with certified robustness in adversarial learning
H Phan, MT Thai, H Hu, R Jin, T Sun, D Dou
International Conference on Machine Learning, 7683-7694, 2020
强制性开放获取政策： US National Science Foundation
An ensemble deep learning model for drug abuse detection in sparse twitter-sphere
H Hu, NH Phan, J Geller, S Iezzi, H Vo, D Dou, S Chun
MEDINFO 2019: Health and Wellbeing e-Networks for All, 163-167, 2019
强制性开放获取政策： US National Science Foundation
An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning
H Hu, NH Phan, SA Chun, J Geller, H Vo, X Ye, R Jin, K Ding, D Kenne, ...
Computational Social Networks 6, 1-19, 2019
强制性开放获取政策： US National Science Foundation
Ontology-based interpretable machine learning for textual data
P Lai, NH Phan, H Hu, A Badeti, D Newman, D Dou
2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020
强制性开放获取政策： US National Science Foundation
Flsys: Toward an open ecosystem for federated learning mobile apps
X Jiang, H Hu, T On, P Lai, VD Mayyuri, A Chen, DM Shila, A Larmuseau, ...
IEEE Transactions on Mobile Computing 23 (1), 501-519, 2022
强制性开放获取政策： US National Science Foundation, US Department of Energy, US Department of …
OnML: an ontology-based approach for interpretable machine learning
P Ayranci, P Lai, N Phan, H Hu, A Kolinowski, D Newman, D Dou
Journal of Combinatorial Optimization 44 (1), 770-793, 2022
强制性开放获取政策： US National Science Foundation
Drugtracker: A community-focused drug abuse monitoring and supporting system using social media and geospatial data (demo paper)
H Hu, NH Phan, X Ye, R Jin, K Ding, D Dou, HT Vo
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
强制性开放获取政策： US National Science Foundation
User-Entity Differential Privacy in Learning Natural Language Models
P Lai, NH Phan, T Sun, R Jain, F Dernoncourt, J Gu, N Barmpalios
2022 IEEE International Conference on Big Data (Big Data), 1465-1474, 2022
强制性开放获取政策： US National Science Foundation
Scalable self-taught deep-embedded learning framework for drug abuse spatial behaviors detection
W Liu, X Ye, H Phan, H Hu
Computational Data and Social Networks: 8th International Conference, CSoNet …, 2019
强制性开放获取政策： US National Science Foundation
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
P Lai, H Hu, H Phan, R Jin, M Thai, A Chen
Conference on Lifelong Learning Agents, 778-797, 2022
强制性开放获取政策： US National Science Foundation
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