SAFS: A deep feature selection approach for precision medicine. - Milad Zafar Nezhad; Dongxiao Zhu; Xiangrui Li; Kai Yang 005; Phillip Levy (BIBM, 2016)

SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors. - Xiangrui Li; Dongxiao Zhu; Ming Dong 001; Milad Zafar Nezhad; Alexander T. Janke; Phillip Levy (CRI, 2017)

SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine. - Milad Zafar Nezhad; Dongxiao Zhu; Najibesadat Sadati; Kai Yang 005; Phillip Levi (ICMLA, 2017)

A Predictive Approach Using Deep Feature Learning for Electronic Medical Records: A Comparative Study. - Milad Zafar Nezhad; Dongxiao Zhu; Najibesadat Sadati; Kai Yang 005 (CoRR, 2018)

Observational data-driven modeling and optimization of manufacturing processes. - Najibesadat Sadati; Ratna Babu Chinnam; Milad Zafar Nezhad (Expert Syst. Appl., 2018)

A Deep Active Survival Analysis approach for precision treatment recommendations: Application of prostate cancer. - Milad Zafar Nezhad; Najibesadat Sadati; Kai Yang 005; Dongxiao Zhu (Expert Syst. Appl., 2019)

Intensifying to Cease: Unpacking the Process of Information Systems Discontinuance. - Mohammad Hosein Rezazade Mehrizi; Joan Rodon Modol; Milad Zafar Nezhad (MIS Q., 2019)

A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis. - Qian Wang 035; Huanyi Shui; Thi Tu Trinh Tran; Milad Zafar Nezhad; Devesh Upadhyay; Kamran Paynabar; Anqi He (CoRR, 2023)