Jacqueline R. M. A. Maasch

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Causal Discovery

Multimodal Data

Conditional Independence

Discovery Process

Top Venues

npj Digit. Medicine

Publications

Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang
Local Causal Discovery for Structural Evidence of Direct Discrimination. CoRR (2024)
Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. npj Digit. Medicine 7 (1) (2024)
Sujai Hiremath, Jacqueline R. M. A. Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan
Hybrid Global Causal Discovery with Local Search. CoRR (2024)
Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. CoRR (2023)
Chang Su, Yu Hou, Jielin Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Yingying Zhu, Claire Henchcliffe, Feixiong Cheng, Fei Wang
Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping. AMIA (2022)
Jacqueline R. M. A. Maasch, Hao Zhang, Qian Yang, Fei Wang, Volodymyr Kuleshov
Regularized Data Programming with Bayesian Priors. CoRR (2022)