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Jeremiah W. Johnson
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2020 – today
- 2021
- [c5]Jeremiah W. Johnson, Karen H. Jin, Mihaela Sabin:
Student Emotional Response to Oral Assessments in Computing and Mathematics. FIE 2021: 1-5 - [c4]Jeremiah W. Johnson, Swathi Hari, Donald Hampton, Hyunju K. Connor, Amy Keesee:
A Contrastive Learning Approach to Auroral Identification and Classification. ICMLA 2021: 772-777 - [i4]Jeremiah W. Johnson, Swathi Hari, Donald Hampton, Hyunju K. Connor, Amy Keesee:
A Contrastive Learning Approach to Auroral Identification and Classification. CoRR abs/2109.13899 (2021) - 2020
- [c3]Jeremiah W. Johnson:
Benefits and Pitfalls of Jupyter Notebooks in the Classroom. SIGITE 2020: 32-37
2010 – 2019
- 2019
- [c2]Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. DGS@ICLR 2019 - [c1]Faisal Mahmood, Jeremiah W. Johnson, Ziyun Yang, Nicholas J. Durr:
Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation). Computer-Aided Diagnosis 2019: 109501T - [i3]Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. CoRR abs/1904.13358 (2019) - [i2]Jeremiah W. Johnson:
Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs. CoRR abs/1911.06216 (2019) - 2018
- [i1]Jeremiah W. Johnson:
Adapting Mask-RCNN for Automatic Nucleus Segmentation. CoRR abs/1805.00500 (2018) - 2015
- [j1]Jeremiah W. Johnson:
Weight ideals associated to regular and log-linear arrays. J. Symb. Comput. 67: 1-15 (2015)
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