132 citations · 199 across the 9 of their papers we have counts for
5 papers · 1 filter
An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks
Mohamed Raed El aoun, Lionel Nganyewou Tidjon, Ben Rombaut +2
Recent advances in deep learning (dl) have led to the release of several dl software libraries such as pytorch, Caffe, and TensorFlow, in order to assist machine learning (ml) prac…
Is my transaction done yet? An empirical study of transaction processing times in the Ethereum Blockchain Platform
Michael Pacheco, Gustavo A. Oliva, Gopi Krishnan Rajbahadur +1
Ethereum is one of the most popular platforms for the development of blockchain-powered applications. These applications are known as Dapps. When engineering Dapps, developers need…
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study
Michael Pacheco, Gustavo A. Oliva, Gopi Krishnan Rajbahadur +1
The Ethereum platform allows developers to implement and deploy applications called Dapps onto the blockchain for public use through the use of smart contracts. To execute code wit…
On the Importance of Performing App Analysis Within Peer Groups
Safwat Hassan, Heng Li, Ahmed E. Hassan
The competing nature of the app market motivates us to shift our focus on apps that provide similar functionalities and directly compete with each other (i.e., peer apps). In this…
The impact of feature importance methods on the interpretation of defect classifiers
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei +1
Classifier specific (CS) and classifier agnostic (CA) feature importance methods are widely used (often interchangeably) by prior studies to derive feature importance ranks from a…