受强制性开放获取政策约束的文章 - Muhammad Umer了解详情
可在其他位置公开访问的文章：5 篇
Learning under extreme verification latency quickly: Fast compose
M Umer, C Frederickson, R Polikar
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
强制性开放获取政策： US National Science Foundation
Targeted forgetting and false memory formation in continual learners through adversarial backdoor attacks
M Umer, G Dawson, R Polikar
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
强制性开放获取政策： US National Science Foundation
LEVELIW: Learning extreme verification latency with importance weighting
M Umer, R Polikar, C Frederickson
2017 International Joint Conference on Neural Networks (IJCNN), 1740-1747, 2017
强制性开放获取政策： US National Science Foundation
Vulnerability of covariate shift adaptation against malicious poisoning attacks
M Umer, C Frederickson, R Polikar
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
强制性开放获取政策： US National Science Foundation
Adversarial poisoning of importance weighting in domain adaptation
M Umer, C Frederickson, R Polikar
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 381-388, 2018
强制性开放获取政策： US National Science Foundation
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