Justin Chen

Orcid: 0000-0002-1504-0094

According to our database1, Justin Chen authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
VG: Automatic Grading of D3 Visualizations.
IEEE Trans. Vis. Comput. Graph., January, 2024

Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting.
CoRR, 2024

Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model.
CoRR, 2024

Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning.
Artif. Intell. Medicine, 2024

2023
The 4 × 4 Orthostochastic Variety.
Exp. Math., October, 2023

VisGrader: Automatic Grading of D3 Visualizations.
CoRR, 2023

Pretrained Transformers for Seizure Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Noetherian operators and primary decomposition.
J. Symb. Comput., 2022

2021
Computing unit groups of curves.
J. Symb. Comput., 2021

Towards Automatic Grading of D3.js Visualizations.
CoRR, 2021

2020
Free resolutions of function classes via order complexes.
Adv. Appl. Math., 2020

FrUITeR: a framework for evaluating UI test reuse.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019
Computing symmetric determinantal representations.
CoRR, 2019

CrossTrainer: Practical Domain Adaptation with Loss Reweighting.
Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

2016
Numerical Implicitization for Macaulay2.
CoRR, 2016

Combinatorially Generated Piecewise Activation Functions.
CoRR, 2016


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