Empirical study on Ford Fulkerson, PreFlow Push and Scaling Ford Fulkerson Algorithm
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Updated
Jan 15, 2018 - Java
Empirical study on Ford Fulkerson, PreFlow Push and Scaling Ford Fulkerson Algorithm
Paper: Exploring the Impact of Code Clones on Deep Learning Software.See our website: https://codeclonedl.github.io/datasets.com/
R package: crseEventStudy
Julia package providing access to the Fama-French data available on the Ken French Data Library
Network Simulation Framework, with a Zest of Empiricism
This is the project repository of our TOSEM 2023 paper: Toward Understanding Deep Learning Framework Bugs.
This script formats program code in a way that the Presentation software displays it with configurable syntax highlighting.
Reproduction package for the paper "A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites" in the Evaluation and Assessment in Software Engineering (EASE) 2021
An Inquiry Into the Influence of Financial Capital On Students’ Aspiration for Career Success
Evolution of a Haskell repository and its use of monads: an exploratory study of Stackage
R-package for creating and managing studies on the Prolific platform (https://www.prolific.co)
This project aims to answer the question of the common features of successful social enterprises by applying unsupervised learning on 5,210 B corporations impact data.
Extract and aggregate tables of empirical results from computer science papers
In this study, I empirically and statistically investigate the credibility of common asset pricing beliefs using data from S&P 500® constituents from January 2010–December 2020.
Framework to compare commit-untangling tools fairly and accurately.
Engenharia de Software Empírica (UTFPR)
the empirical analysis focused on resource dilution theory, access to education, and gender discrimination. innovated to consider parental education participation from CEPS. Stata
Hierarchically embedded scales of movement shape the social networks of vampire bats
The repository contains code and data for the paper https://github.com/sumonbis/ML-Fairness/blob/master/ml-fairness.pdf, to be appeared at ESEC/FSE 2020.
Masterthesis in Economics. Empirical study of the impact of US-universities' ranking placement on application processes and outcomes.
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