受强制性开放获取政策约束的文章 - Vahid Noroozi了解详情
无法在其他位置公开访问的文章：1 篇
Hierarchical collaborative embedding for context-aware recommendations
L Zheng, B Cao, V Noroozi, SY Philip, N Ma
IEEE International Conference on Big Data (BigData 2017), 867-876, 2017
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
可在其他位置公开访问的文章：9 篇
Joint deep modeling of users and items using reviews for recommendation
L Zheng, V Noroozi, PS Yu
ACM International Conference on Web Search and Data Mining (WSDM), 425-434, 2017
强制性开放获取政策： US National Science Foundation
Machine learning for Gravity Spy: Glitch classification and dataset
S Bahaadini, V Noroozi, N Rohani, S Coughlin, M Zevin, JR Smith, ...
Information Sciences 444, 172-186, 2018
强制性开放获取政策： US National Science Foundation
DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps
S Amini, V Noroozi, A Pande, S Gupte, PS Yu, C Kanich
Conference on Information and Knowledge Management (CIKM), 2027-2035, 2018
强制性开放获取政策： US National Science Foundation
Classifying the unknown: discovering novel gravitational-wave detector glitches using similarity learning
S Coughlin, S Bahaadini, N Rohani, M Zevin, O Patane, M Harandi, ...
Physical Review D 99 (8), 082002, 2019
强制性开放获取政策： US National Science Foundation
DIRECT: Deep discriminative embedding for clustering of LIGO data
S Bahaadini, N Rohani, AK Katsaggelos, V Noroozi, S Coughlin, M Zevin
IEEE International Conference on Image Processing (ICIP), 748-752, 2018
强制性开放获取政策： US National Science Foundation
Leveraging semi-supervised learning for fairness using neural networks
V Noroozi, S Bahaadini, S Sheikhi, N Mojab, SY Philip
ICMLA 2019 - IEEE International Conference On Machine Learning And …, 2019
强制性开放获取政策： US National Science Foundation
Real-world multi-domain data applications for generalizations to clinical settings
N Mojab, V Noroozi, D Yi, MP Nallabothula, A Aleem, SY Philip, JA Hallak
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
强制性开放获取政策： US National Science Foundation
DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors
S Amini, V Noroozi, S Bahaadini, SY Philip, C Kanich
IEEE International Conference on Big Data (BigData 2018), 84-91, 2018
强制性开放获取政策： US National Science Foundation
Virtual adversarial training for semi-supervised verification tasks
V Noroozi, S Bahaadini, L Zheng, S Xie, SY Philip
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
强制性开放获取政策： US National Science Foundation
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