Large scale extraction of perfect and imperfect DNA palindromes using in-memory computing. - William Baskett; Matthew Spencer; Chi-Ren Shyu (BIBM, 2016)

Efficient GPU-accelerated extraction of imperfect inverted repeats from DNA sequences. - William Baskett; Matthew Spencer; Chi-Ren Shyu (BIBM, 2017)

Exploratory Data Mining for Subgroup Cohort Discoveries and Prioritization. - Danlu Liu; William Baskett; David Q. Beversdorf; Chi-Ren Shyu (IEEE J. Biomed. Health Informatics, 2020)

Thoughts on Non-IID Data Impact in Healthcare with Federated Learning Medical Blockchain. - Zon-Yin Shae; Kun-Yi Chen; Chi-Yu Chang; Yuan-Yu Tsai; Che-Yi Chou; William Baskett; Chi-Ren Shyu; Jeffrey J. P. Tsai (CogMI, 2022)

RHPTree - Risk Hierarchical Pattern Tree for Scalable Long Pattern Mining. - Danlu Liu; Yu Li; William Baskett; Dan Lin; Chi-Ren Shyu (ACM Trans. Knowl. Discov. Data, 2022)

Addressing Small Sample Size and Improving Interpretability in Biomedical Applications with Adaptive Complexity Deep Neural Networks. - William Baskett; Chi-Ren Shyu (ICHI, 2025)

Identifying homogenous patient subgroups using transformer based hierarchical clustering of heterogeneous Mixed-Modality medical data. - William Baskett; Benjamin Black; Adnan I. Qureshi; Chi-Ren Shyu (J. Biomed. Informatics, 2025)

Effective Non-IID Degree Estimation for Robust Federated Learning in Healthcare Datasets. - Kun-Yi Chen; Chi-Ren Shyu; Yuan-Yu Tsai; William Baskett; Chi-Yu Chang; Che-Yi Chou; Jeffrey J. P. Tsai; Zon-Yin Shae (J. Heal. Informatics Res., 2025)