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model/Base : pre-trained model for baseline method. model/Code : pre-trained model for our Code Augmentation method. model/Rule(F) : pre-trained model for our Rule(F) Augmentation method. model/Rule(R) : pre-trained model for our Rule(R) Augmentation method. model/Code_plus_Rule(F) : pre-trained model for our Code&Rule(F) Augmentation method. model/Code_plus_Rule(R) : pre-trained model for our Code&Rule(R) Augmentation method.
game UI glitch detection model
game UI glitch detection model
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 13 | |
| downloads | 8 |

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