Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments. - Lyujian Lu; Saad Elbeleidy; Lauren Zoe Baker; Hua Wang 007 (AAAI, 2020)

A multi-instance support vector machine with incomplete data for clinical outcome prediction of COVID-19. - Lodewijk Brand; Lauren Zoe Baker; Hua Wang 007 (BCB, 2021)

A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications. - Lodewijk Brand; Lauren Zoe Baker; Carla Ellefsen; Jackson Sargent; Hua Wang 007 (ICDM, 2021)

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions. - Lyujian Lu; Saad Elbeleidy; Lauren Zoe Baker; Hua Wang 007; Li Shen 001; Heng Huang (IEEE Trans. Biomed. Eng., 2021)

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. - Lyujian Lu; Saad Elbeleidy; Lauren Zoe Baker; Hua Wang 007; Feiping Nie 001 (IEEE Trans. Medical Imaging, 2021)

Towards Synthesis of Application-Specific Forward Error Correction (FEC) Codes. - Jedidiah McClurg; Lauren Zoe Baker; Ronaldo Canizales; Dilochan Karki (HotNets, 2024)

A linear primal-dual multi-instance SVM for big data classifications. - Lodewijk Brand; Hoon Seo; Lauren Zoe Baker; Carla Ellefsen; Jackson Sargent; Hua Wang 007 (Knowl. Inf. Syst., 2024)