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Jonas Jongejan
Jonas Jongejan
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Year
Teachable machine: Approachable Web-based tool for exploring machine learning classification
M Carney, B Webster, I Alvarado, K Phillips, N Howell, J Griffith, ...
Extended abstracts of the 2020 CHI conference on human factors in computing …, 2020
2322020
The effects of example-based explanations in a machine learning interface
CJ Cai, J Jongejan, J Holbrook
Proceedings of the 24th international conference on intelligent user …, 2019
2202019
The quick, draw!-ai experiment
J Jongejan, H Rowley, T Kawashima, J Kim, N Fox-Gieg
Mount View, CA, accessed Feb 17 (2018), 4, 2016
1522016
The quick, draw!-ai experiment.(2016)
J Jongejan, H Rowley, T Kawashima, J Kim, N Fox-Gieg
URL http://quickdraw. withgoogle. com 4, 2016
212016
Paper cubes: evolving 3D characters in augmented reality using recurrent neural networks
A Fusté, J Amores, D Ha, J Jongejan, A Pitaru
31st Conference on Neural Information Processing Systems (NIPS 2017), 31-33, 2017
102017
Draw together with a neural network
D Ha, J Jongejan, I Johnson
Retrieved Oct 5, 2021, 2017
62017
The quick, draw! dataset
J Jongejan, H Rowley, T Kawashima, J Kim, N Fox-Gieg
2017-5-15)[2021-03-02]. https://github. com/googlecreativelab/quickdraw-dataset, 2017
52017
Google quick, draw
J Jongejan, H Rowley, T Kawashima, J Kim, N Fox-Gieg
52017
Node-based interface for machine learning classification modeling
B Webster, I Alvarado, K Phillips, A Chen, JPH Jongejan, J Griffith, ...
US Patent 11,593,712, 2023
2023
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