no code implementations • 31 Mar 2023 • Qian Wang, Huanyi Shui, Thi Tu Trinh Tran, Milad Zafar Nezhad, Devesh Upadhyay, Kamran Paynabar, Anqi He
In the automotive industry, the full cycle of managing in-use vehicle quality issues can take weeks to investigate.
no code implementations • 24 Aug 2019 • Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam, Dongxiao Zhu
Our focus is to present a comparative study to evaluate the performance of different deep architectures through supervised learning and provide insights in the choice of deep feature representation techniques.
no code implementations • 10 Apr 2018 • Milad Zafar Nezhad, Najibesadat Sadati, Kai Yang, Dongxiao Zhu
Survival analysis has been developed and applied in the number of areas including manufacturing, finance, economics and healthcare.
no code implementations • 6 Jan 2018 • Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam, Dongxiao Zhu
Our focus is to present a comparative study to evaluate the performance of different deep architectures through supervised learning and provide insights in the choice of deep feature representation techniques.
no code implementations • 26 Sep 2017 • Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati, Kai Yang, Phillip Levy
Traditional medicine typically applies one-size-fits-all treatment for the entire patient population whereas precision medicine develops tailored treatment schemes for different patient subgroups.
no code implementations • 20 Apr 2017 • Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy
In this paper, we propose a new deep feature selection method based on deep architecture.