Weight ideals associated to regular and log-linear arrays. - Jeremiah W. Johnson (J. Symb. Comput., 2015)

Data science & computing across the curriculum. - Jeremiah W. Johnson (J. Comput. Sci. Coll., 2017)

Adapting Mask-RCNN for Automatic Nucleus Segmentation. - Jeremiah W. Johnson (CoRR, 2018)

Scaling up: introducing undergraduates to data science early in their college careers. - Jeremiah W. Johnson (J. Comput. Sci. Coll., 2018)

Structured Prediction using cGANs with Fusion Discriminator. - Faisal Mahmood 001; Wenhao Xu; Nicholas J. Durr; Jeremiah W. Johnson; Alan L. Yuille (DGS@ICLR, 2019)

Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation). - Faisal Mahmood 001; Jeremiah W. Johnson; Ziyun Yang; Nicholas J. Durr (Computer-Aided Diagnosis, 2019)

Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs. - Jeremiah W. Johnson (CoRR, 2019)

Teaching neural networks in the deep learning era. - Jeremiah W. Johnson (J. Comput. Sci. Coll., 2019)

Benefits and Pitfalls of Jupyter Notebooks in the Classroom. - Jeremiah W. Johnson (SIGITE, 2020)

Jupyter notebooks in education. - Jeremiah W. Johnson; Karen H. Jin (J. Comput. Sci. Coll., 2020)

Student Emotional Response to Oral Assessments in Computing and Mathematics. - Jeremiah W. Johnson; Karen H. Jin; Mihaela Sabin (FIE, 2021)

A Contrastive Learning Approach to Auroral Identification and Classification. - Jeremiah W. Johnson; Swathi Hari; Donald Hampton; Hyunju K. Connor; Amy Keesee (ICMLA, 2021)