Learning a Metric for Code Readability. In this paper, we explore the concept of code readability and investigate its relation to software quality. With data collected from 120 human annotators, ... Buse,PL Raymond,Weimer,... - 《IEEE Transactions on Software Engineering》 被引量: 150发表: ...
Buse, R.P.L., Weimer, W.R.: A metric for software readability. In: International Symposium on Software Testing and Analysis, pp. 121–130 (2008) 9. Chen, B., Azad, S., Haldar, R., West, M., Zilles, C.: A validated scoring rubric for explain- in-plain-English questions. In...
Private Federated Learning In Real World Application – A Case Study content type paper | research area Methods and Algorithms, research area Privacy | Published year 2025 AuthorsAn Ji, Bortik Bandyopadhyay, Congzheng Song, Natarajan Krishnaswami, Prabal Vashisht, Rigel Smiroldo, Isabel Litton, Saya...
Private Federated Learning In Real World Application – A Case Study content type paper | research area Methods and Algorithms, research area Privacy | Published year 2025 AuthorsAn Ji, Bortik Bandyopadhyay, Congzheng Song, Natarajan Krishnaswami, Prabal Vashisht, Rigel Smiroldo, Isabel Litton, Saya...
Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING] CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and sup...
For high levels of noise, none of the tested networks (MLP, ART and RBF) performed well in an imbalanced scenario. Raj et al. (2016) proposed a class separability score based on the Silhouette metric and showed that both the imbalance ratio and the class separability have a negative impact...
LOFO Importance - LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and evaluating the performance of the model, with a validation scheme of choice,...
The earth mover's distance as a metric for image retrieval Int. J. Comput. Vis., 40 (2000), pp. 99-121 Google Scholar [58] M. Cuturi Sinkhorn distances: lightspeed computation of optimal transport C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, K.Q. Weinberger (Eds.), Adv...
FPS is a metric for processing speed, the number of frames per second a model processes. Our previous study [31,39] corresponds to the configurations in row 5 of the table. The results in Table 1 show that the configurations using FET and FST, respectively, are more accurate than those ...
We then employ the machine learning and deep learning models for training the attack graph, which are created based on the vulnerability database, and generate the attack graph. Finally, we present a quantitative and qualitative evaluation metric of the attack path predicted through the attack ...